From e7945be1a9a83598174f3c35ba50abed0f0494be Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 20 Jun 2021 07:36:38 +0000
Subject: [PATCH 001/202] GitBook: [master] 207 pages and 8 assets modified

---
 ...ewplot-2- (1).png => newplot-2- (1) (1) (1).png} | Bin
 .../{newplot-2-.png => newplot-2- (1) (1) (2).png}  | Bin
 ...{newplot-29- (1).png => newplot-29- (2) (1).png} | Bin
 .../{newplot-29-.png => newplot-29- (2) (2).png}    | Bin
 api-reference/plotting/line-charts.md               |   2 +-
 api-reference/plotting/timeseries-plots.md          |   2 +-
 api-reference/untitled.md                           |   2 +-
 getting-started.md                                  |   8 ++++----
 8 files changed, 7 insertions(+), 7 deletions(-)
 rename .gitbook/assets/{newplot-2- (1).png => newplot-2- (1) (1) (1).png} (100%)
 rename .gitbook/assets/{newplot-2-.png => newplot-2- (1) (1) (2).png} (100%)
 rename .gitbook/assets/{newplot-29- (1).png => newplot-29- (2) (1).png} (100%)
 rename .gitbook/assets/{newplot-29-.png => newplot-29- (2) (2).png} (100%)

diff --git a/.gitbook/assets/newplot-2- (1).png b/.gitbook/assets/newplot-2- (1) (1) (1).png
similarity index 100%
rename from .gitbook/assets/newplot-2- (1).png
rename to .gitbook/assets/newplot-2- (1) (1) (1).png
diff --git a/.gitbook/assets/newplot-2-.png b/.gitbook/assets/newplot-2- (1) (1) (2).png
similarity index 100%
rename from .gitbook/assets/newplot-2-.png
rename to .gitbook/assets/newplot-2- (1) (1) (2).png
diff --git a/.gitbook/assets/newplot-29- (1).png b/.gitbook/assets/newplot-29- (2) (1).png
similarity index 100%
rename from .gitbook/assets/newplot-29- (1).png
rename to .gitbook/assets/newplot-29- (2) (1).png
diff --git a/.gitbook/assets/newplot-29-.png b/.gitbook/assets/newplot-29- (2) (2).png
similarity index 100%
rename from .gitbook/assets/newplot-29-.png
rename to .gitbook/assets/newplot-29- (2) (2).png
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index edd8726..e412af9 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index cdbb85d..dc8cc37 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -52,7 +52,7 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
 
 ```
 
-![](../../.gitbook/assets/newplot-29-.png)
+![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
diff --git a/api-reference/untitled.md b/api-reference/untitled.md
index 4e0b10f..9737fec 100644
--- a/api-reference/untitled.md
+++ b/api-reference/untitled.md
@@ -67,7 +67,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../.gitbook/assets/newplot-2-%20%281%29%20%281%29.png)
+![](../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/getting-started.md b/getting-started.md
index c18e8ca..85603a0 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -17,11 +17,11 @@ npm install danfojs-node
 You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.7/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment without doing an local installation, use [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
@@ -2232,7 +2232,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
 </html>
 ```
 
-![](.gitbook/assets/newplot-29-%20%281%29.png)
+![](.gitbook/assets/newplot-29-%20%282%29.png)
 
 On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html#pandas.DataFrame.plot)method exposes various [plot types](api-reference/plotting/). And by default, all columns are plotted unless specified otherwise.
 
@@ -2263,7 +2263,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 </html>
 ```
 
-![](.gitbook/assets/newplot-2-.png)
+![](.gitbook/assets/newplot-2-%20%281%29%20%281%29.png)
 
 ### Getting data in/out
 

From 9e05e5837f2e34fd21acdc08196dbc9139c41711 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Mon, 13 Sep 2021 09:07:59 +0000
Subject: [PATCH 002/202] GitBook: [master] 2 pages and 2 assets modified

---
 .gitbook/assets/419nr0t2zml.jpeg              | Bin 0 -> 27488 bytes
 .gitbook/assets/b17076_cover.jpg              | Bin 0 -> 788502 bytes
 SUMMARY.md                                    |   1 +
 ...-driven-applications-with-danfo.js-book.md |  43 ++++++++++++++++++
 4 files changed, 44 insertions(+)
 create mode 100644 .gitbook/assets/419nr0t2zml.jpeg
 create mode 100644 .gitbook/assets/b17076_cover.jpg
 create mode 100644 building-data-driven-applications-with-danfo.js-book.md

diff --git a/.gitbook/assets/419nr0t2zml.jpeg b/.gitbook/assets/419nr0t2zml.jpeg
new file mode 100644
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diff --git a/SUMMARY.md b/SUMMARY.md
index 8c3c302..366243a 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -205,6 +205,7 @@
 * [User Guides](examples/README.md)
   * [Using Danfojs in React](examples/using-danfojs-in-react.md)
   * [Titanic Survival Prediction using Danfo.js and Tensorflow.js](examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md)
+* [Building Data Driven Applications with Danfo.js - Book](building-data-driven-applications-with-danfo.js-book.md)
 * [Contributing Guide](contributing-guide.md)
 * [Release Notes](release-notes.md)
 
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
new file mode 100644
index 0000000..a4ec027
--- /dev/null
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -0,0 +1,43 @@
+# Building Data Driven Applications with Danfo.js - Book
+
+## Purchase on [Amazon](https://www.amazon.in/Building-Data-Driven-Applications-Danfo-js-ebook/dp/B096T13R7P) using _**25Danfo**_ discount code before  31st December 2020 and get 25% discount. 
+
+## What this book is about
+
+The book then shows you how to load different datasets, combine and analyze them by performing operations such as handling missing values and string manipulations. You'll also get to grips with data plotting, visualization, aggregation, and group operations by combining Danfo.js with Plotly. As you advance, you'll create a no-code data analysis and handling system and create-react-app, react-table, react-chart, Draggable.js, and tailwind, and understand how to use TensorFlow.js and Danfo.js to build a recommendation system. Finally, you'll build a Twitter analytics dashboard powered by Danfo.js, Next.js, node-nlp, and Twit.js.
+
+By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
+
+![Danfo.js book cover](.gitbook/assets/b17076_cover.jpg)
+
+## **What you will learn**
+
+* Perform data experimentation and analysis with Danfo.js and Dnotebook
+* Build machine learning applications using Danfo.js integrated with TensorFlow.js
+* Connect Danfo.js with popular database applications to aid data analysis
+* Create a no-code data analysis and handling system using internal libraries
+* Develop a recommendation system with Danfo.js and TensorFlow.js
+* Build a Twitter analytics dashboard for sentiment analysis and other types of data insights
+
+## **Who this book is for**
+
+This book is for data analysts, data scientists, and JavaScript developers who want to create data-driven applications in the JavaScript/Node.js environment. Intermediate-level knowledge of JavaScript programming and data science using pandas is expected
+
+## Table of content
+
+1. An Overview of Modern JavaScript
+2. Dnotebook - An Interactive Computing Environment for JavaScript
+3. Getting Started with Danfo.js
+4. Data Analysis, Wrangling, and Transformation
+5. Data Visualization with Plotly.js
+6. Data Visualization with Danfo.js
+7. Data Aggregation and Group Operations
+8. Creating a No-Code Data Analysis/Handling System
+9. Basics of Machine Learning
+10. Introduction to TensorFlow.js
+11. Building a Recommendation System with Danfo.js and TensorFlow.js
+12. Building a Twitter Analysis Dashboard
+13. Appendix: Essential JavaScript Concepts
+
+
+

From d2ed51f1b41140304625f1d0ad5a19f44bd699f0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Mon, 13 Sep 2021 09:25:10 +0000
Subject: [PATCH 003/202] GitBook: [master] one page modified

---
 README.md | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/README.md b/README.md
index a0875e2..92e7da5 100644
--- a/README.md
+++ b/README.md
@@ -36,9 +36,23 @@ The reference guide contains a detailed description of the **danfo** API. The re
 
 {% page-ref page="api-reference/" %}
 
+## User Guides/Tutorials
+
+{% page-ref page="examples/" %}
+
+## Building Data Driven Applications with Danfo.js - Book
+
+{% page-ref page="building-data-driven-applications-with-danfo.js-book.md" %}
+
 ## Contributing Guide
 
 Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process. 
 
 {% page-ref page="contributing-guide.md" %}
 
+## Release Notes
+
+{% page-ref page="release-notes.md" %}
+
+
+

From 0a6398a478e8b8ff1e4f4779cec6cfafde74cd7d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 26 Sep 2021 12:18:50 +0100
Subject: [PATCH 004/202] Updated release version

---
 .../dataframe/danfo.dataframe.addcolumn.md    |  4 +-
 .../dataframe/dataframe.set_index.md          |  4 +-
 api-reference/plotting/timeseries-plots.md    |  2 +-
 ...iction-using-danfo.js-and-tensorflow.js.md | 12 ++---
 getting-started.md                            | 46 +++++++++----------
 5 files changed, 34 insertions(+), 34 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3bf3252..3e20f6a 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -50,7 +50,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "value": new_col });
+df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
 
@@ -109,7 +109,7 @@ let data = {"A": [30, 1, 2, 3],
 
 let df = new dfd.DataFrame(data)
 let s = new dfd.Series([1, 2, 3, 4])
-df.addColumn({ "column": "D", "value": s });
+df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
 
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index a601c0b..3e1318e 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -57,7 +57,7 @@ let data = { "A": [-20, 30, 47.3],
 let df = new dfd.DataFrame(data, {index: ["a", "b", "a"]})
 df.print()
 
-df.set_index({key: "A", inplace: true})
+df.set_index({column: "A", inplace: true})
 df.print()
 
 ```
@@ -116,7 +116,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_index = ["a", "b", "a"]
-df.set_index({key: new_index, inplace: true})
+df.set_index({column: new_index, inplace: true})
 df.print()
 
 ```
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index f6845ca..44e6176 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -38,7 +38,7 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
                     }
                 }
 
-                new_df = df.set_index({ key: "Date" })
+                new_df = df.set_index({ column: "Date" })
                 new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
 
             }).catch(err => {
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 2281d63..759b61d 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -117,7 +117,7 @@ From the data types table above, you'll notice that there are two strong columns
 let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 
 //replace in df
-df.addColumn({ column: "Name", value: title })
+df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
 In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
@@ -150,7 +150,7 @@ let cols = ["Sex", "Name"]
 cols.forEach(col => {
   encoder.fit(df[col])
   enc_val = encoder.transform(df[col])
-  df.addColumn({ column: col, value: enc_val })
+  df.addColumn({ column: col, values: enc_val, inplace: true })
 })
 
 df.head().print()
@@ -223,7 +223,7 @@ async function load_process_data() {
     //A feature engineering: Extract all titles from names columns
     let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
     //replace in df
-    df.addColumn({ column: "Name", value: title })
+    df.addColumn({ column: "Name", values: title, inplace: true })
 
     //label Encode Name feature
     let encoder = new dfd.LabelEncoder()
@@ -231,7 +231,7 @@ async function load_process_data() {
     cols.forEach(col => {
         encoder.fit(df[col])
         enc_val = encoder.transform(df[col])
-        df.addColumn({ column: col, value: enc_val })
+        df.addColumn({ column: col, values: enc_val, inplace: true })
     })
 
 
@@ -318,7 +318,7 @@ async function load_process_data() {
     //A feature engineering: Extract all titles from names columns
     let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
     //replace in df
-    df.addColumn({ column: "Name", value: title })
+    df.addColumn({ column: "Name", values: title, inplace: true })
 
     //label Encode Name feature
     let encoder = new dfd.LabelEncoder()
@@ -326,7 +326,7 @@ async function load_process_data() {
     cols.forEach(col => {
         encoder.fit(df[col])
         enc_val = encoder.transform(df[col])
-        df.addColumn({ column: col, value: enc_val })
+        df.addColumn({ column: col, values: enc_val, inplace: true })
     })
 
 
diff --git a/getting-started.md b/getting-started.md
index 1a5edd2..f4cb826 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -17,7 +17,7 @@ npm install danfojs-node
 You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -45,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -84,7 +84,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -146,7 +146,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -210,7 +210,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -260,7 +260,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -341,7 +341,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -436,7 +436,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -541,7 +541,7 @@ console.log(df.columns);
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -610,7 +610,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -692,7 +692,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -762,7 +762,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -833,7 +833,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1169,7 +1169,7 @@ query_df.print() //after query
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1276,7 +1276,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "value": new_col }); //happens inplace
+df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1291,7 +1291,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1307,7 +1307,7 @@ df.print()
         df.print()
         
         let new_col = [1, 2, 3, 4]
-        df.addColumn({ "column": "D", "value": new_col }); //happens inplace
+        df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
         
         df.print()
                 
@@ -1381,7 +1381,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1602,7 +1602,7 @@ df.mean().print() //defaults to column axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2240,7 +2240,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2262,7 +2262,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
                     }
                 }
 
-                new_df = df.set_index({ key: "Date" })
+                new_df = df.set_index({ column: "Date" })
                 new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
 
             }).catch(err => {
@@ -2288,7 +2288,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2375,7 +2375,7 @@ dfd.read_csv("file:///home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 

From 4b84708ddcbb46e8ab47f8521fc2befecec7b250 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 26 Sep 2021 11:28:17 +0000
Subject: [PATCH 005/202] GitBook: [master] 208 pages and 5 assets modified

---
 ...(1).png => newplot-2- (1) (1) (2) (1).png} | Bin
 .../assets/newplot-2- (1) (1) (2) (2).png     | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot-29- (2) (2) (1).png   | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (2) (2).png   | Bin 0 -> 50358 bytes
 SUMMARY.md                                    |   1 -
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/input-output/danfo.read_csv.md  | 143 +-----------------
 .../input-output/danfo.read_excel.md          |  12 +-
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 api-reference/untitled.md                     |   2 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 ++++---
 getting-started.md                            |   2 +-
 14 files changed, 55 insertions(+), 200 deletions(-)
 rename .gitbook/assets/{newplot-2- (1) (1) (1).png => newplot-2- (1) (1) (2) (1).png} (100%)
 create mode 100644 .gitbook/assets/newplot-2- (1) (1) (2) (2).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (2) (1).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (2) (2).png

diff --git a/.gitbook/assets/newplot-2- (1) (1) (1).png b/.gitbook/assets/newplot-2- (1) (1) (2) (1).png
similarity index 100%
rename from .gitbook/assets/newplot-2- (1) (1) (1).png
rename to .gitbook/assets/newplot-2- (1) (1) (2) (1).png
diff --git a/.gitbook/assets/newplot-2- (1) (1) (2) (2).png b/.gitbook/assets/newplot-2- (1) (1) (2) (2).png
new file mode 100644
index 0000000000000000000000000000000000000000..9f34611dd09a280c06d1a1f30b28dafc5f3936cb
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znle*qh}<;L`JkK>eGed|+U-WOUvgfT@QMb2BX$AOwOz{~`8((Pi;LIfeMEoT>3O6~
zk4!LI4uz3$3ytxfbUO{>xby&YXDcI??kRrpB(n$v%DjnemDb?79vOLyM?gUElKSJ*
zzZMzP#34Qja&yQ2!$<=f#OdEI0Qox}7J*g6fcpA+{L{Q6A;*7yFAXG?LPdiEQGc6^
zzwtUG4fh}94!KMIpMZBqEC2CC;0q*^_0R7^0LSB|m6=Aa_-`MEbY}1Yf&ch4@C6}~
z&3QWug9-oB0Rp<_AI|IHn@>o1Vtix0E8!m)B9ejnrz=JK|JYI;1mO>qcQQp~>fQl=
Nl;t(#DrBCA{4c2le;WV*

literal 0
HcmV?d00001

diff --git a/SUMMARY.md b/SUMMARY.md
index 366243a..747861a 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -14,7 +14,6 @@
     * [danfo.concat](api-reference/general-functions/danfo.concat.md)
     * [danfo.merge](api-reference/general-functions/danfo.merge.md)
   * [Input/Output](api-reference/input-output/README.md)
-    * [read](api-reference/input-output/read.md)
     * [danfo.read\_excel](api-reference/input-output/danfo.read_excel.md)
     * [danfo.read\_json](api-reference/input-output/danfo.read_json.md)
     * [danfo.read\_csv](api-reference/input-output/danfo.read_csv.md)
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3e20f6a..0792905 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,7 +21,7 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
+        <p> <b>value:</b> Series<b>,</b> Array. New values to add }</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -30,13 +30,15 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
-       ****return **Null**
+```text
+   ****return **Null**
+```
 
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens  so returns nothing,
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,12 +55,11 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -112,12 +113,11 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -126,7 +126,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3e1318e..8445c35 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,7 +37,9 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-       ****return **DataFrame**
+```text
+   ****return **DataFrame**
+```
 
 ## **Examples**
 
@@ -46,7 +48,6 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -59,12 +60,11 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -73,7 +73,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,12 +117,11 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -132,7 +130,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,5 +156,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d1ab8f8..0bab005 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -22,9 +22,8 @@ description: >-
     <tr>
       <td style="text-align:left"><em><b>source</b></em>:</td>
       <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
-        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
-        are only accepted in Nodejs environment.</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL or a valid
+        local file path.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -32,12 +31,12 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>A CSV Config object that contains configurations for reading and decoding
-          from CSV file(s). Supported params are:</p>
-        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
-        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
-        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
-          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
+        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
+        <p></p>
+        <p>We set the following params by default:</p>
+        <p><b>dynamicTyping: true</b>
+        </p>
+        <p><b>header: true</b>
         </p>
       </td>
       <td style="text-align:left"></td>
@@ -163,131 +162,5 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-**Reading Large Files**
-
-For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
-
-**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_process_data() {
-  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
-  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
-
-  df_chunk1.head().print()
-  df_chunk2.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-
-        async function run(start, end) {
-            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
-            let df = await dfd.read_csv(data_url, { start, end })
-            console.log(df.shape)
-            df.head().print()
-        }
-
-        run(0, 5)
-        run(5, 10)
-
-    </script>
-</body>
-
-</html>
-
-<!
-Output in console
-
-[5, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[10, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
->
-
-```
-{% endtab %}
-{% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
 
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..9dbe248 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -27,13 +27,6 @@ description: Reads an excel file into DataFrame.
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
 >           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -46,14 +39,15 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read\_excel** method can read excel files saved in local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index e412af9..9fd06ff 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 397b480..b9d73a8 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
 ```markup
 <!DOCTYPE html>
@@ -44,12 +44,11 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-         
+
     </script>
 </body>
 
 </html>
-
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/api-reference/untitled.md b/api-reference/untitled.md
index 9737fec..41e79ca 100644
--- a/api-reference/untitled.md
+++ b/api-reference/untitled.md
@@ -67,7 +67,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 66dd124..48b3b1c 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,9 +9,7 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-
-
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -19,9 +17,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-### Setting up your environment
+## Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -31,9 +29,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):** 
+**Update \(14th Feb 2021\):**
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
 
 ```javascript
 npm install danfojs-node
@@ -46,7 +44,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-### Loading and processing your data
+## Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -54,11 +52,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-    
+
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-    
-    
+
+
 }
 ```
 
@@ -80,7 +78,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -110,7 +108,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -120,7 +118,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -138,7 +136,6 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -159,7 +156,6 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -183,7 +179,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -193,7 +189,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -250,11 +246,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-### Model Building With Tensorflow.js
+## Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get\_model. This will construct and return a model when called. 
+Create a simple function called get\_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -268,12 +264,11 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
 
 Next, you will create a function called _**train:**_
 
 ```javascript
-
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -285,7 +280,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-    
+
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -298,15 +293,15 @@ async function train() {
             }
         }
     });
-    
+
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
-The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -393,7 +388,6 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
-
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -419,13 +413,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index a88f855..56c4fe3 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -1281,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>

From 99f16afd6383fdf9cf0c1b8b0aef32123537378f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 26 Sep 2021 11:29:25 +0000
Subject: [PATCH 006/202] GitBook: [master] one page modified

---
 api-reference/dataframe/danfo.dataframe.addcolumn.md | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 0792905..f74da8c 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,7 +21,9 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p> <b>value:</b> Series<b>,</b> Array. New values to add }</p>
+        <p> <b>values:</b> Series<b>,</b> Array of new values to add
+          <br /> <b>inplace</b>: Default to false.</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -30,10 +32,6 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
-```text
-   ****return **Null**
-```
-
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**

From facf2ba42ff620bfda8f63d326337bb746f9e6fc Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 26 Sep 2021 11:30:02 +0000
Subject: [PATCH 007/202] GitBook: [master] 2 pages modified

---
 SUMMARY.md                |   1 -
 api-reference/untitled.md | 109 --------------------------------------
 2 files changed, 110 deletions(-)
 delete mode 100644 api-reference/untitled.md

diff --git a/SUMMARY.md b/SUMMARY.md
index 747861a..961418d 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -185,7 +185,6 @@
     * [Bar Charts](api-reference/plotting/bar-charts.md)
     * [Line Charts](api-reference/plotting/line-charts.md)
     * [Configuring your plots](api-reference/plotting/configuring-your-plots.md)
-  * [Untitled](api-reference/untitled.md)
   * [Groupby](api-reference/groupby/README.md)
     * [Groupby.get\_groups](api-reference/groupby/groupby.get_groups.md)
     * [Groupby.col](api-reference/groupby/groupby.col.md)
diff --git a/api-reference/untitled.md b/api-reference/untitled.md
deleted file mode 100644
index 41e79ca..0000000
--- a/api-reference/untitled.md
+++ /dev/null
@@ -1,109 +0,0 @@
-# Untitled
-
-## Examples
-
-### Basic Line plot on Series
-
-The **line** plot is exposed by the .**plot\(\)** function called on a Series or DataFrame. The **.plot\(\)** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../.gitbook/assets/newplot-4-.png)
-
-### Line plots on DataFrame
-
-The example below shows the plot of column values against a common x-axis \(index\)
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
-
-The example below shows how to plot two columns in a DataFrame against each other.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line({x: 'pig', y: 'horse'})
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../.gitbook/assets/newplot-3-.png)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page]()
-{% endhint %}
-
-
-

From fab2beb8e2884c57b05015a690df44d198a29c70 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 29 Sep 2021 14:56:21 +0000
Subject: [PATCH 008/202] GitBook: [master] 9 pages modified

---
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/input-output/danfo.read_csv.md  | 143 +++++++++++++++++-
 .../input-output/danfo.read_excel.md          |  12 +-
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 ...-driven-applications-with-danfo.js-book.md |   2 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +++----
 getting-started.md                            |   2 +-
 9 files changed, 200 insertions(+), 54 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index f74da8c..3e20f6a 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,9 +21,7 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p> <b>values:</b> Series<b>,</b> Array of new values to add
-          <br /> <b>inplace</b>: Default to false.</p>
-        <p>}</p>
+        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -32,11 +30,13 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
+       ****return **Null**
+
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
+New columns get added at the end of the DataFrame, and this happens  so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,11 +53,12 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -111,11 +112,12 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -124,6 +126,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 8445c35..3e1318e 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,9 +37,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-```text
-   ****return **DataFrame**
-```
+       ****return **DataFrame**
 
 ## **Examples**
 
@@ -48,6 +46,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -60,11 +59,12 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -73,6 +73,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -117,11 +118,12 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -130,6 +132,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -156,5 +159,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 0bab005..d1ab8f8 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -22,8 +22,9 @@ description: >-
     <tr>
       <td style="text-align:left"><em><b>source</b></em>:</td>
       <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL or a valid
-        local file path.</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
+        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
+        are only accepted in Nodejs environment.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -31,12 +32,12 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
-        <p></p>
-        <p>We set the following params by default:</p>
-        <p><b>dynamicTyping: true</b>
-        </p>
-        <p><b>header: true</b>
+        <p>A CSV Config object that contains configurations for reading and decoding
+          from CSV file(s). Supported params are:</p>
+        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
+        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
+        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
+          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
         </p>
       </td>
       <td style="text-align:left"></td>
@@ -162,5 +163,131 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
+**Reading Large Files**
+
+For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
+
+**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_process_data() {
+  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
+  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
+
+  df_chunk1.head().print()
+  df_chunk2.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+
+        async function run(start, end) {
+            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+            let df = await dfd.read_csv(data_url, { start, end })
+            console.log(df.shape)
+            df.head().print()
+        }
+
+        run(0, 5)
+        run(5, 10)
+
+    </script>
+</body>
+
+</html>
+
+<!
+Output in console
+
+[5, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+[10, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+>
+
+```
+{% endtab %}
+{% endtabs %}
+
+```bash
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
 
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 9dbe248..d8e3d9e 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -27,6 +27,13 @@ description: Reads an excel file into DataFrame.
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
 >           Default will be the first sheet.</p>
+>         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
+>           The Index of the row which represents the header(columns) of the data.
+>           Default will be the first non empty row.</p>
+>         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
+>           index of the row from which actual data(content) starts. Default will be
+>           the next row of <code>header_index</code>
+>         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -39,15 +46,14 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved in local disk, or over the internet.
+The **read\_excel** method can read excel files saved from local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
-const path = require("path")
 
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+local_xcel = 'testexcel.xls'
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 9fd06ff..e412af9 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index b9d73a8..397b480 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
 
 ```markup
 <!DOCTYPE html>
@@ -44,11 +44,12 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-
+         
     </script>
 </body>
 
 </html>
+
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index a4ec027..ea67970 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -1,6 +1,6 @@
 # Building Data Driven Applications with Danfo.js - Book
 
-## Purchase on [Amazon](https://www.amazon.in/Building-Data-Driven-Applications-Danfo-js-ebook/dp/B096T13R7P) using _**25Danfo**_ discount code before  31st December 2020 and get 25% discount. 
+## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo_  code before  31st December 2020 and get 25% discount. 
 
 ## What this book is about
 
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 48b3b1c..66dd124 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,7 +9,9 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
+
+
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -17,9 +19,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-## Setting up your environment
+### Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -29,9 +31,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):**
+**Update \(14th Feb 2021\):** 
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
 
 ```javascript
 npm install danfojs-node
@@ -44,7 +46,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-## Loading and processing your data
+### Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -52,11 +54,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-
+    
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-
-
+    
+    
 }
 ```
 
@@ -78,7 +80,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -108,7 +110,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -118,7 +120,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -136,6 +138,7 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -156,6 +159,7 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -179,7 +183,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -189,7 +193,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -246,11 +250,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-## Model Building With Tensorflow.js
+### Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
 
-Create a simple function called get\_model. This will construct and return a model when called.
+Create a simple function called get\_model. This will construct and return a model when called. 
 
 ```javascript
 function get_model() {
@@ -264,11 +268,12 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
 
 Next, you will create a function called _**train:**_
 
 ```javascript
+
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -280,7 +285,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-
+    
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -293,15 +298,15 @@ async function train() {
             }
         }
     });
-
+    
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
 
-The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -388,6 +393,7 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
+
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -413,13 +419,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index 56c4fe3..a88f855 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -1281,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-
+        
         df.print()
 
     </script>

From 09f5231fd121b0f3187012c8364c70da82fa9c26 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Fri, 1 Oct 2021 22:38:46 +0000
Subject: [PATCH 009/202] GitBook: [master] one page modified

---
 release-notes.md | 33 +++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)

diff --git a/release-notes.md b/release-notes.md
index c3f3c78..1f8ab6b 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,5 +1,38 @@
 # Release Notes
 
+### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.1\), Browser \(0.3.1\)
+
+**Date:** 1st Oct 2021
+
+**New Features**
+
+* Ability to create empty frames
+* Flag for toggling between low/high memory mode
+* Inplace support for all mutating operations
+* Ability to set Configuration values on frame creation
+* Support boolean mask for subsetting with `iloc` and `loc`. E.g `df.iloc({rows: df["count"].gt(5), columns: [0, 1]})`
+* Update an existing column value via subsetting. E.g `df["count"] = [1,3,4,5]`
+* Add loc indexing support for Series
+* Add configuration support for formating DataFrame display in the console
+* New DataFrame `applyMap` function for element-wise apply function
+* `and` and `or` logical comparison support. E.g       `df.loc({`        `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60)) })`
+* `read_csv` now uses [Papaparse](https://www.papaparse.com/) and supports config values for headers, separator, etc.
+* `to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output. 
+* `read_json` now supports config values for headers, authentication, separator, etc.
+* `read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options. 
+* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g  `df.query({`   `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))  })`
+
+**Bug Fixes**
+
+* Column data not being updated when mutating internal data array
+* Str class error for non-string type
+* Better error message
+* Fix support for all JS Date format
+* Fix loc slicing bug for row index with string labels
+* DataFrame apply function now works only across a specified axis
+
+Contributors [@risenW](https://github.com/risenW) 
+
 ### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.2.7\), Browser \(0.2.6\)
 
 **Date:** 30th May 2021

From 14c83b564e71d717aef4fc4e1e72bcda0426b75f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Oct 2021 14:04:32 +0000
Subject: [PATCH 010/202] GitBook: [master] 206 pages modified

---
 getting-started.md | 496 +++++++++++++++++++++++++--------------------
 1 file changed, 276 insertions(+), 220 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index a88f855..4af06a5 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,16 +8,32 @@ description: >-
 
 ## Installation
 
-There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
+There are three ways to install and use Danfo.js in your application
+
+For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
 
 ```text
 npm install danfojs-node
+
+or
+
+yarn add danfojs-node
 ```
 
-You can also install and use it in the browsers by using the CDN below:
+For client side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+
+```text
+npm install danfojs
+
+or
+
+yarn add danfojs
+```
+
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -26,9 +42,9 @@ To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
+We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -45,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -114,7 +130,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
+║ 3 │ undefined            ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -168,17 +184,15 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 1 │ 34 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 2  ║
+╚═══╧════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -386,19 +400,17 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ string               ║
-╟───┼──────────────────────╢
-║ B │ string               ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ float32              ║
-╟───┼──────────────────────╢
-║ E │ string               ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ string  ║
+╟───┼─────────╢
+║ B │ string  ║
+╟───┼─────────╢
+║ C │ int32   ║
+╟───┼─────────╢
+║ D │ float32 ║
+╟───┼─────────╢
+║ E │ string  ║
+╚═══╧═════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -705,19 +717,23 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║        │ A                 │ B                 │ C                 │ D                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
-╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -772,15 +788,17 @@ df.print()
 {% endtabs %}
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ NaN               │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -939,7 +957,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing, both endpoints are _included_:
+Showing label slicing:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -970,17 +988,15 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- Shape: (3,2) 
+ 
 
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1026,15 +1042,13 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1078,13 +1092,11 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1103,17 +1115,62 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ Count             ║
+╟────────────┼───────────────────╢
+║ 0          │ 21                ║
+╟────────────┼───────────────────╢
+║ 1          │ 5                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 30                ║
+╟────────────┼───────────────────╢
+║ 3          │ 10                ║
+╚════════════╧═══════════════════╝
+```
+
+#### Selection with Boolean Mask
+
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+
+```javascript
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+
+let sub_df = df.iloc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+
+```text
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+
+```javascript
+let sub_df = df.iloc({
+    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
+    columns: [0]
+})
+sub_df.print()
+
+//output
+╔════════════╤═══════════════════╗
+║            │ Name              ║
+╟────────────┼───────────────────╢
+║ 0          │ Apples            ║
+╚════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1194,7 +1251,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Selecting values from a DataFrame works on string columns:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1202,34 +1259,36 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+let query_df = df.query({ condition: df["B"].gt(5) })
 query_df.print() //after query
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
 
-//after query
+Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let query_df = df.query({
+    condition:
+        df["B"].gt(5).and(df["A"].lt(30))
+})
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1249,7 +1308,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
+df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1281,7 +1340,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>
@@ -1309,22 +1368,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                │ 45                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                │ 55                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
-danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
+ **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
 
 To drop any rows that have missing data:
 
@@ -1333,13 +1392,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
@@ -1380,27 +1439,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
- Shape: (1,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1408,44 +1467,45 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 1})
+let df_drop = df.dropna(1)
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 34                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
+
 ```
 
 Filling missing data:
@@ -1455,13 +1515,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-            "Name": ["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10],
-            "Price": [200, 300, 40, 250]
-          }
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+  }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 ```
@@ -1485,14 +1545,16 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
@@ -1554,7 +1616,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1608,11 +1670,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ 0 │ 4                    ║
+║ A │ 4                    ║
 ╟───┼──────────────────────╢
-║ 1 │ 38.5                 ║
+║ B │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ 2 │ 31.75                ║
+║ C │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1666,7 +1728,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -1687,7 +1749,7 @@ df_new.print()
 
 #### Apply
 
-Applying JavaScript functions to the data:
+Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1696,11 +1758,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 
@@ -1721,22 +1783,18 @@ df_new.print()
 
 //after applying
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 
-Applying Tensorflow functions to the data:
+Applying Element wise operations to the data:
 
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1745,13 +1803,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.print()
-
-function log_sig(x) {
-    return x.logSigmoid()
+function sum_vals(x) {
+    return x + 10
 }
 
-let df_new = df.apply({axis: 0, callable: log_sig })
+let df_new = df.apply_map(sum_vals)
 df_new.print()
 ```
 
@@ -1770,19 +1826,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after applying
+ //after apply_map
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 12                │ 13                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 14                │ 15                │ 16                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                │ 50                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 49                │ 99                │ 88                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods

From 7968a0dd298e78fe226999d2831655e31c8423a6 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Oct 2021 14:17:44 +0000
Subject: [PATCH 011/202] GitBook: [master] one page modified

---
 getting-started.md | 57 ++++++++++++++++++++++++++++------------------
 1 file changed, 35 insertions(+), 22 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index 4af06a5..480b689 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2325,29 +2325,36 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format.
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
 
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
-          "Abs": [20.2, 30, 47.3],
-          "Count": [34, 4, 5],
-          "country code": ["NG", "FR", "GH"]
-        }
+    "Abs": [20.2, 30, 47.3],
+    "Count": [34, 4, 5],
+    "country code": ["NG", "FR", "GH"]
+}
 
 
 let df = new dfd.DataFrame(data)
 
-df.to_csv().then((csv) => {
-  console.log(csv);
+const csv = df.to_csv()
+console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+
+
+df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
+
+
+df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-}).catch((err) => {
 
-  console.log(err);
-})
 ```
 
 ```text
@@ -2428,18 +2435,24 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-df.to_json().then((json) => {
-  console.log(json);
+const json = df.to_json()
+console.log(json);
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
 
-}).catch((err) => {
 
-  console.log(err);
-})
-```
+const json = df.to_json({format: "row"})
+console.log(json);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
 
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From 87756ef5b0ac83764d1f9caedfec56153eef217f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Oct 2021 14:27:01 +0000
Subject: [PATCH 012/202] GitBook: [master] 2 pages modified

---
 getting-started.md | 553 ++++++++++++++++++++-------------------------
 release-notes.md   |   8 +-
 2 files changed, 249 insertions(+), 312 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index 480b689..a88f855 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,32 +8,16 @@ description: >-
 
 ## Installation
 
-There are three ways to install and use Danfo.js in your application
-
-For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
+There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
 
 ```text
 npm install danfojs-node
-
-or
-
-yarn add danfojs-node
-```
-
-For client side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
-
-```text
-npm install danfojs
-
-or
-
-yarn add danfojs
 ```
 
-For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
+You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -42,9 +26,9 @@ To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
+We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -130,7 +114,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ undefined            ║
+║ 3 │ NaN                  ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -184,15 +168,17 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 12 ║
-╟───┼────╢
-║ 1 │ 34 ║
-╟───┼────╢
-║ 2 │ 56 ║
-╟───┼────╢
-║ 3 │ 2  ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -400,17 +386,19 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤═════════╗
-║ A │ string  ║
-╟───┼─────────╢
-║ B │ string  ║
-╟───┼─────────╢
-║ C │ int32   ║
-╟───┼─────────╢
-║ D │ float32 ║
-╟───┼─────────╢
-║ E │ string  ║
-╚═══╧═════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ string               ║
+╟───┼──────────────────────╢
+║ B │ string               ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ float32              ║
+╟───┼──────────────────────╢
+║ E │ string               ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -717,23 +705,19 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║        │ A                 │ B                 │ C                 │ D                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
+╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -788,17 +772,15 @@ df.print()
 {% endtabs %}
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ NaN               │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ -4                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 47.3              │ 5                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -20               │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -957,7 +939,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing:
+Showing label slicing, both endpoints are _included_:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -988,15 +970,17 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- 
+ Shape: (3,2) 
 
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1042,13 +1026,15 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1092,11 +1078,13 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1115,62 +1103,17 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╗
-║            │ Count             ║
-╟────────────┼───────────────────╢
-║ 0          │ 21                ║
-╟────────────┼───────────────────╢
-║ 1          │ 5                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 30                ║
-╟────────────┼───────────────────╢
-║ 3          │ 10                ║
-╚════════════╧═══════════════════╝
-```
-
-#### Selection with Boolean Mask
-
-You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
-
-```javascript
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-
-let sub_df = df.iloc({ rows: df["Count"].gt(10) })
-sub_df.print()
-```
-
-```text
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
-
-```javascript
-let sub_df = df.iloc({
-    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
-    columns: [0]
-})
-sub_df.print()
-
-//output
-╔════════════╤═══════════════════╗
-║            │ Name              ║
-╟────────────┼───────────────────╢
-║ 0          │ Apples            ║
-╚════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1251,7 +1194,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
+Selecting values from a DataFrame works on string columns:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1259,36 +1202,34 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-let query_df = df.query({ condition: df["B"].gt(5) })
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
 query_df.print() //after query
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let query_df = df.query({
-    condition:
-        df["B"].gt(5).and(df["A"].lt(30))
-})
-query_df.print() //after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+//after query
 
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1308,7 +1249,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
+df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1340,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-
+        
         df.print()
 
     </script>
@@ -1368,22 +1309,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                │ 45                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                │ 55                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
- **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
+danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
 
 To drop any rows that have missing data:
 
@@ -1392,13 +1333,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropna({axis: 0})
 df_drop.print()
 ```
 {% endtab %}
@@ -1439,27 +1380,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ NaN               │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+ Shape: (1,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1467,45 +1408,44 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(1)
+let df_drop = df.dropna({axis: 1})
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ NaN               │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 34                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔════════════╤═══════════════════╗
-║            │ C                 ║
-╟────────────┼───────────────────╢
-║ 0          │ 3                 ║
-╟────────────┼───────────────────╢
-║ 1          │ 6                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 40                ║
-╟────────────┼───────────────────╢
-║ 3          │ 78                ║
-╚════════════╧═══════════════════╝
-
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
 ```
 
 Filling missing data:
@@ -1515,13 +1455,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-  }
+            "Name": ["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10],
+            "Price": [200, 300, 40, 250]
+          }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillna({ values: ["Apples"] })
 
 df_filled.print()
 ```
@@ -1545,16 +1485,14 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
+let data = {"Name":["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10], 
+            "Price": [200, 300, 40, 250]}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
+let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
 df_filled.print()
 ```
 
@@ -1616,7 +1554,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data, { columns: cols })
+let df = new dfd.DataFrame(data)
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1670,11 +1608,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ A │ 4                    ║
+║ 0 │ 4                    ║
 ╟───┼──────────────────────╢
-║ B │ 38.5                 ║
+║ 1 │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ C │ 31.75                ║
+║ 2 │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1728,7 +1666,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, { axis: 1 })
+let df_new = df.sub(sf, axis = 1)
 
 df_new.print()
 ```
@@ -1749,7 +1687,7 @@ df_new.print()
 
 #### Apply
 
-Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
+Applying JavaScript functions to the data:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1758,11 +1696,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
+function sum_vals(x) {
+    return x + 20
 }
 
-let df_new = df.apply(sum_vals, { axis: 1 })
+let df_new = df.apply({callable: sum_vals })
 df_new.print()
 ```
 
@@ -1783,18 +1721,22 @@ df_new.print()
 
 //after applying
 
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 22                │ 23                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 24                │ 25                │ 26                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 40                │ 50                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 59                │ 109               │ 98                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Applying Element wise operations to the data:
+Applying Tensorflow functions to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
+You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1803,11 +1745,13 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 10
+df.print()
+
+function log_sig(x) {
+    return x.logSigmoid()
 }
 
-let df_new = df.apply_map(sum_vals)
+let df_new = df.apply({axis: 0, callable: log_sig })
 df_new.print()
 ```
 
@@ -1826,19 +1770,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after apply_map
+ //after applying
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 11                │ 12                │ 13                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 14                │ 15                │ 16                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 30                │ 40                │ 50                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 49                │ 99                │ 88                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2325,36 +2269,29 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
+Convert any DataFrame to csv format.
 
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = {
-    "Abs": [20.2, 30, 47.3],
-    "Count": [34, 4, 5],
-    "country code": ["NG", "FR", "GH"]
-}
+          "Abs": [20.2, 30, 47.3],
+          "Count": [34, 4, 5],
+          "country code": ["NG", "FR", "GH"]
+        }
 
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.to_csv()
-console.log(csv);
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-
-
-df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
-
-
-df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
+df.to_csv().then((csv) => {
+  console.log(csv);
 
+}).catch((err) => {
 
+  console.log(err);
+})
 ```
 
 ```text
@@ -2435,24 +2372,18 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.to_json()
-console.log(json);
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
+df.to_json().then((json) => {
+  console.log(json);
 
+}).catch((err) => {
 
-const json = df.to_json({format: "row"})
-console.log(json);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
+  console.log(err);
+})
+```
 
+```text
+[{"Abs":20.2,"Count":34,"country code":"NG"},
+{"Abs":30,"Count":4,"country code":"FR"},
+{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 
diff --git a/release-notes.md b/release-notes.md
index 1f8ab6b..fc8d8e9 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,12 @@
 # Release Notes
 
-### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.1\), Browser \(0.3.1\)
+### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.2\), Browser \(0.3.2\)
+
+**Date:** 2nd Oct 2021
+
+Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis. 
+
+### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.1\), Browser \(0.3.1\)
 
 **Date:** 1st Oct 2021
 

From 0b280849565a9e4996bd42b67e87e17e09cc523a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Oct 2021 15:29:54 +0100
Subject: [PATCH 013/202] Update version number

---
 getting-started.md | 40 ++++++++++++++++++++--------------------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index a88f855..b3e0e33 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -17,7 +17,7 @@ npm install danfojs-node
 You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -45,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -84,7 +84,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -145,7 +145,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -208,7 +208,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -256,7 +256,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -334,7 +334,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -427,7 +427,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -530,7 +530,7 @@ console.log(df.columns);
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -598,7 +598,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -678,7 +678,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -747,7 +747,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -815,7 +815,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1145,7 +1145,7 @@ query_df.print() //after query
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1264,7 +1264,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1353,7 +1353,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1569,7 +1569,7 @@ df.mean().print() //defaults to column axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2197,7 +2197,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2244,7 +2244,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2330,7 +2330,7 @@ dfd.read_csv("file:///home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 

From f18b33fd7dbc88855e2379367868ee7f7bfff89a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 00:29:34 +0000
Subject: [PATCH 014/202] GitBook: [master] 8 pages modified

---
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/input-output/danfo.read_csv.md  | 143 +----
 .../input-output/danfo.read_excel.md          |  12 +-
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +-
 getting-started.md                            | 589 ++++++++++--------
 8 files changed, 381 insertions(+), 458 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3e20f6a..f74da8c 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,7 +21,9 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
+        <p> <b>values:</b> Series<b>,</b> Array of new values to add
+          <br /> <b>inplace</b>: Default to false.</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -30,13 +32,11 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
-       ****return **Null**
-
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens  so returns nothing,
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,12 +53,11 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -112,12 +111,11 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -126,7 +124,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3e1318e..8445c35 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,7 +37,9 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-       ****return **DataFrame**
+```text
+   ****return **DataFrame**
+```
 
 ## **Examples**
 
@@ -46,7 +48,6 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -59,12 +60,11 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -73,7 +73,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,12 +117,11 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -132,7 +130,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,5 +156,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d1ab8f8..0bab005 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -22,9 +22,8 @@ description: >-
     <tr>
       <td style="text-align:left"><em><b>source</b></em>:</td>
       <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
-        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
-        are only accepted in Nodejs environment.</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL or a valid
+        local file path.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -32,12 +31,12 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>A CSV Config object that contains configurations for reading and decoding
-          from CSV file(s). Supported params are:</p>
-        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
-        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
-        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
-          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
+        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
+        <p></p>
+        <p>We set the following params by default:</p>
+        <p><b>dynamicTyping: true</b>
+        </p>
+        <p><b>header: true</b>
         </p>
       </td>
       <td style="text-align:left"></td>
@@ -163,131 +162,5 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-**Reading Large Files**
-
-For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
-
-**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_process_data() {
-  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
-  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
-
-  df_chunk1.head().print()
-  df_chunk2.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-
-        async function run(start, end) {
-            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
-            let df = await dfd.read_csv(data_url, { start, end })
-            console.log(df.shape)
-            df.head().print()
-        }
-
-        run(0, 5)
-        run(5, 10)
-
-    </script>
-</body>
-
-</html>
-
-<!
-Output in console
-
-[5, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[10, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
->
-
-```
-{% endtab %}
-{% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
 
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..9dbe248 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -27,13 +27,6 @@ description: Reads an excel file into DataFrame.
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
 >           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -46,14 +39,15 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read\_excel** method can read excel files saved in local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index e412af9..9fd06ff 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 397b480..b9d73a8 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
 ```markup
 <!DOCTYPE html>
@@ -44,12 +44,11 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-         
+
     </script>
 </body>
 
 </html>
-
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 66dd124..48b3b1c 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,9 +9,7 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-
-
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -19,9 +17,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-### Setting up your environment
+## Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -31,9 +29,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):** 
+**Update \(14th Feb 2021\):**
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
 
 ```javascript
 npm install danfojs-node
@@ -46,7 +44,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-### Loading and processing your data
+## Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -54,11 +52,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-    
+
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-    
-    
+
+
 }
 ```
 
@@ -80,7 +78,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -110,7 +108,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -120,7 +118,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -138,7 +136,6 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -159,7 +156,6 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -183,7 +179,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -193,7 +189,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -250,11 +246,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-### Model Building With Tensorflow.js
+## Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get\_model. This will construct and return a model when called. 
+Create a simple function called get\_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -268,12 +264,11 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
 
 Next, you will create a function called _**train:**_
 
 ```javascript
-
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -285,7 +280,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-    
+
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -298,15 +293,15 @@ async function train() {
             }
         }
     });
-    
+
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
-The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -393,7 +388,6 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
-
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -419,13 +413,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index b3e0e33..480b689 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,16 +8,32 @@ description: >-
 
 ## Installation
 
-There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
+There are three ways to install and use Danfo.js in your application
+
+For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
 
 ```text
 npm install danfojs-node
+
+or
+
+yarn add danfojs-node
+```
+
+For client side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+
+```text
+npm install danfojs
+
+or
+
+yarn add danfojs
 ```
 
-You can also install and use it in the browsers by using the CDN below:
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -26,9 +42,9 @@ To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
+We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -45,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -84,7 +100,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -114,7 +130,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
+║ 3 │ undefined            ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -145,7 +161,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -168,17 +184,15 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 1 │ 34 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 2  ║
+╚═══╧════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -208,7 +222,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -256,7 +270,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -334,7 +348,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -386,19 +400,17 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ string               ║
-╟───┼──────────────────────╢
-║ B │ string               ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ float32              ║
-╟───┼──────────────────────╢
-║ E │ string               ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ string  ║
+╟───┼─────────╢
+║ B │ string  ║
+╟───┼─────────╢
+║ C │ int32   ║
+╟───┼─────────╢
+║ D │ float32 ║
+╟───┼─────────╢
+║ E │ string  ║
+╚═══╧═════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -427,7 +439,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -530,7 +542,7 @@ console.log(df.columns);
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -598,7 +610,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -678,7 +690,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -705,19 +717,23 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║        │ A                 │ B                 │ C                 │ D                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
-╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -747,7 +763,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -772,15 +788,17 @@ df.print()
 {% endtabs %}
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ NaN               │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -815,7 +833,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -939,7 +957,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing, both endpoints are _included_:
+Showing label slicing:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -970,17 +988,15 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- Shape: (3,2) 
+ 
 
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1026,15 +1042,13 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1078,13 +1092,11 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1103,17 +1115,62 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ Count             ║
+╟────────────┼───────────────────╢
+║ 0          │ 21                ║
+╟────────────┼───────────────────╢
+║ 1          │ 5                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 30                ║
+╟────────────┼───────────────────╢
+║ 3          │ 10                ║
+╚════════════╧═══════════════════╝
+```
+
+#### Selection with Boolean Mask
+
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+
+```javascript
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+
+let sub_df = df.iloc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+
+```text
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+
+```javascript
+let sub_df = df.iloc({
+    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
+    columns: [0]
+})
+sub_df.print()
+
+//output
+╔════════════╤═══════════════════╗
+║            │ Name              ║
+╟────────────┼───────────────────╢
+║ 0          │ Apples            ║
+╚════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1145,7 +1202,7 @@ query_df.print() //after query
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1194,7 +1251,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Selecting values from a DataFrame works on string columns:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1202,34 +1259,36 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+let query_df = df.query({ condition: df["B"].gt(5) })
 query_df.print() //after query
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
 
-//after query
+Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let query_df = df.query({
+    condition:
+        df["B"].gt(5).and(df["A"].lt(30))
+})
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1249,7 +1308,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
+df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1264,7 +1323,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1281,7 +1340,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>
@@ -1309,22 +1368,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                │ 45                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                │ 55                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
-danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
+ **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
 
 To drop any rows that have missing data:
 
@@ -1333,13 +1392,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
@@ -1353,7 +1412,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1380,27 +1439,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
- Shape: (1,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1408,44 +1467,45 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 1})
+let df_drop = df.dropna(1)
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 34                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
+
 ```
 
 Filling missing data:
@@ -1455,13 +1515,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-            "Name": ["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10],
-            "Price": [200, 300, 40, 250]
-          }
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+  }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 ```
@@ -1485,14 +1545,16 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
@@ -1554,7 +1616,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1569,7 +1631,7 @@ df.mean().print() //defaults to column axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1608,11 +1670,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ 0 │ 4                    ║
+║ A │ 4                    ║
 ╟───┼──────────────────────╢
-║ 1 │ 38.5                 ║
+║ B │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ 2 │ 31.75                ║
+║ C │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1666,7 +1728,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -1687,7 +1749,7 @@ df_new.print()
 
 #### Apply
 
-Applying JavaScript functions to the data:
+Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1696,11 +1758,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 
@@ -1721,22 +1783,18 @@ df_new.print()
 
 //after applying
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 
-Applying Tensorflow functions to the data:
+Applying Element wise operations to the data:
 
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1745,13 +1803,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.print()
-
-function log_sig(x) {
-    return x.logSigmoid()
+function sum_vals(x) {
+    return x + 10
 }
 
-let df_new = df.apply({axis: 0, callable: log_sig })
+let df_new = df.apply_map(sum_vals)
 df_new.print()
 ```
 
@@ -1770,19 +1826,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after applying
+ //after apply_map
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 12                │ 13                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 14                │ 15                │ 16                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                │ 50                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 49                │ 99                │ 88                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2197,7 +2253,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2244,7 +2300,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2269,29 +2325,36 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format.
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
 
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
-          "Abs": [20.2, 30, 47.3],
-          "Count": [34, 4, 5],
-          "country code": ["NG", "FR", "GH"]
-        }
+    "Abs": [20.2, 30, 47.3],
+    "Count": [34, 4, 5],
+    "country code": ["NG", "FR", "GH"]
+}
 
 
 let df = new dfd.DataFrame(data)
 
-df.to_csv().then((csv) => {
-  console.log(csv);
+const csv = df.to_csv()
+console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+
+
+df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
+
+
+df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-}).catch((err) => {
 
-  console.log(err);
-})
 ```
 
 ```text
@@ -2330,7 +2393,7 @@ dfd.read_csv("file:///home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2372,18 +2435,24 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-df.to_json().then((json) => {
-  console.log(json);
+const json = df.to_json()
+console.log(json);
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
 
-}).catch((err) => {
 
-  console.log(err);
-})
-```
+const json = df.to_json({format: "row"})
+console.log(json);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
 
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From 35cf0ab4049fb366c7209d7a4e948a889080624d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 12:26:12 +0000
Subject: [PATCH 015/202] GitBook: [master] 210 pages modified

---
 README.md                                     |  12 +-
 SUMMARY.md                                    |   3 +
 api-reference/README.md                       |   2 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 ++---
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 ++++++++++--------
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 101 ++++++-----
 .../input-output/danfo.read_excel.md          |  12 +-
 api-reference/input-output/danfo.to_csv.md    | 157 ++++++++++++++++
 api-reference/input-output/danfo.to_excel.md  |  92 ++++++++++
 api-reference/input-output/danfo.to_json.md   | 160 ++++++++++++++++
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +++---
 getting-started.md                            |   4 +-
 20 files changed, 667 insertions(+), 209 deletions(-)
 create mode 100644 api-reference/input-output/danfo.to_csv.md
 create mode 100644 api-reference/input-output/danfo.to_excel.md
 create mode 100644 api-reference/input-output/danfo.to_json.md

diff --git a/README.md b/README.md
index 92e7da5..b170fbb 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
+* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
-* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
+* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/SUMMARY.md b/SUMMARY.md
index 961418d..9adf7af 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -17,6 +17,9 @@
     * [danfo.read\_excel](api-reference/input-output/danfo.read_excel.md)
     * [danfo.read\_json](api-reference/input-output/danfo.read_json.md)
     * [danfo.read\_csv](api-reference/input-output/danfo.read_csv.md)
+    * [danfo.to\_csv](api-reference/input-output/danfo.to_csv.md)
+    * [danfo.to\_excel](api-reference/input-output/danfo.to_excel.md)
+    * [danfo.to\_json](api-reference/input-output/danfo.to_json.md)
   * [Series](api-reference/series/README.md)
     * [Series.append](api-reference/series/series.append.md)
     * [Series.cumsum](api-reference/series/series.cumsum.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index 70dff34..492db09 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index f74da8c..3e20f6a 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,9 +21,7 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p> <b>values:</b> Series<b>,</b> Array of new values to add
-          <br /> <b>inplace</b>: Default to false.</p>
-        <p>}</p>
+        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -32,11 +30,13 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
+       ****return **Null**
+
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
+New columns get added at the end of the DataFrame, and this happens  so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,11 +53,12 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -111,11 +112,12 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -124,6 +126,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 8445c35..3e1318e 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,9 +37,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-```text
-   ****return **DataFrame**
-```
+       ****return **DataFrame**
 
 ## **Examples**
 
@@ -48,6 +46,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -60,11 +59,12 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -73,6 +73,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -117,11 +118,12 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -130,6 +132,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -156,5 +159,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index b74b5da..692b225 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 1cb3b8f..54fc0ae 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,18 +17,24 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">Series or Dataframe</td>
+      <td style="text-align:left">The data to dummify</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>data</b>: Array | Series | DataFrame</p>
-        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>columns</b>: Array of column names to dummify. If not specified, all
+          categorical columns are encoded.</p>
+        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
-        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -49,7 +55,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
 dum_df.print()
 ```
 {% endtab %}
@@ -65,19 +71,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -96,7 +102,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df })
+let dum_df = dfd.get_dummies(df)
 dum_df.print()
 ```
 {% endtab %}
@@ -159,7 +165,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 752a196..5251d48 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 5e66567..43b2476 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 2e7c0a3..4077198 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Convert Object to datetime format
+description: Converts an array of Date time string to Date object.
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,15 +17,12 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left"><b>data</b>
       </td>
-      <td style="text-align:left">Object</td>
+      <td style="text-align:left">Array, Series</td>
       <td style="text-align:left">
-        <p>{</p>
-        <p><b>data</b>: Array | Series, the object to convert.</p>
-        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
-          and &quot;%m-d-Y H%M%S%&quot;</p>
-        <p>}</p>
+        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -38,14 +35,16 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
 
 ## **Examples**
 
-### **Convert Series to Dummy codes**
+Converts a **Series** of Date strings to Date time and get time properties
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-let dt = dfd.to_datetime({data:sf})
+sf.print()
+
+let dt = dfd.toDateTime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -65,85 +64,99 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
 //Int representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╚═══╧══════════════════════╝
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
 
 //string representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╟───┼──────────────────────╢
-║ 3 │ Apr                  ║
-╟───┼──────────────────────╢
-║ 4 │ May                  ║
-╚═══╧══════════════════════╝
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
 
 //string representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 1 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 2 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 3 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 4 │ Tue                  ║
-╚═══╧══════════════════════╝
-
-//Int representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2                    ║
-╚═══╧══════════════════════╝
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
 //Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 0                    ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f071ac9..f015c6e 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,7 +1,5 @@
 ---
-description: >-
-  Functions and methods to easily read tabular/structured data into DataFrame
-  and Series Objects
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
 ---
 
 # Input/Output
@@ -11,8 +9,11 @@ description: >-
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
+| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
+| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
+| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 0bab005..570c7c3 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,10 +20,15 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>:</td>
-      <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL or a valid
-        local file path.</td>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">File object, File path, URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL or a valid
+          local file path.</p>
+        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
+          also supported.</p>
+      </td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -32,14 +37,15 @@ description: >-
       <td style="text-align:left">
         <p></p>
         <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
-        <p></p>
-        <p>We set the following params by default:</p>
-        <p><b>dynamicTyping: true</b>
-        </p>
-        <p><b>header: true</b>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
+      </td>
+      <td style="text-align:left">
+        <p><b>{</b>
         </p>
+        <p><b>dynamicTyping: </b>true,</p>
+        <p><b>header: </b>true</p>
+        <p>}</p>
       </td>
-      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -48,16 +54,39 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
 
-The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("user_names.csv") //assumes file is in CWD
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading files from a URL**
+
+By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -76,8 +105,8 @@ dfd.read_csv("user_names.csv") //assumes file is in CWD
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -105,26 +134,11 @@ dfd.read_csv("user_names.csv") //assumes file is in CWD
 {% endtab %}
 {% endtabs %}
 
-**Loading Files from URL**
+### **Reading an input file object in the browser**
 
-By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
 
 {% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -133,25 +147,20 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-
-    <div id="plot_div"></div>
+    <input type="file" id="file" name="file">
     <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
             })
+        })
          
     </script>
 </body>
@@ -162,5 +171,3 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 9dbe248..d8e3d9e 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -27,6 +27,13 @@ description: Reads an excel file into DataFrame.
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
 >           Default will be the first sheet.</p>
+>         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
+>           The Index of the row which represents the header(columns) of the data.
+>           Default will be the first non empty row.</p>
+>         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
+>           index of the row from which actual data(content) starts. Default will be
+>           the next row of <code>header_index</code>
+>         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -39,15 +46,14 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved in local disk, or over the internet.
+The **read\_excel** method can read excel files saved from local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
-const path = require("path")
 
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+local_xcel = 'testexcel.xls'
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
new file mode 100644
index 0000000..4bb5456
--- /dev/null
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -0,0 +1,157 @@
+---
+description: Writes a DataFrame or Series to CSV format.
+---
+
+# danfo.to\_csv
+
+> danfo.**to\_csv**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>data</b></em>
+      </td>
+      <td style="text-align:left">Series or DataFrame</td>
+      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
+      </td>
+      <td style="text-align:left">object, optional</td>
+      <td style="text-align:left">
+        <p>Configuration object:</p>
+        <p>{</p>
+        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
+          If not specified, the CSV will be returned as a string. Only needed in
+          Nodejs version
+          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
+          needed in browser environment.
+          <br /><b><code>download</code></b>: Boolean indicating whether to automatically
+          download the CSV file in the browser. Only needed in the browser environment.</p>
+        <p><b><code>header</code></b>: Boolean indicating whether to include a header
+          row in the CSV file.</p>
+        <p> <b><code>sep</code></b>: Character to be used as a separator in the CSV
+          file.</p>
+        <p></p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b>download</b>: true,
+        <br /><b>sep</b>: &quot;,&quot;
+        <br />
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
+
+The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+### Convert DataFrame to CSV string and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const csv = df.to_csv({ download: false });
+console.log(csv);
+
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ filePath: "testOut.csv"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and download file in browser
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ fileName: "testOut.csv", download: true});
+```
+
diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
new file mode 100644
index 0000000..0b781b4
--- /dev/null
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -0,0 +1,92 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# danfo.to\_excel
+
+> danfo.**to\_excel**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>data</b></em>
+      </td>
+      <td style="text-align:left">Series or DataFrame</td>
+      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
+      </td>
+      <td style="text-align:left">object, optional</td>
+      <td style="text-align:left">
+        <p>Configuration object:</p>
+        <p>{</p>
+        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
+          If not specified, the CSV will be returned as a string. Only needed in
+          Nodejs version
+          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
+          needed in the browser environment.
+          <br /><b><code>sheetName</code></b>: Name to call the excel sheet.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b>filePath</b>: &quot;./output.xlsx&quot;,
+        <br /><b>sheetName</b>: &quot;Sheet1&quot;
+        <br />
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
+
+The **to\_excel** function can be used to write out a DataFrame or Series to Excel \(**.xlsx**\) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in a browser
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ fileName: "testOut.xlsx"});
+```
+
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
new file mode 100644
index 0000000..878eb5f
--- /dev/null
+++ b/api-reference/input-output/danfo.to_json.md
@@ -0,0 +1,160 @@
+# danfo.to\_json
+
+> danfo.**to\_json**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>data</b></em>
+      </td>
+      <td style="text-align:left">Series or DataFrame</td>
+      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
+      </td>
+      <td style="text-align:left">object, optional</td>
+      <td style="text-align:left">
+        <p>Configuration object:</p>
+        <p>{</p>
+        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
+          If not specified, the CSV will be returned as a string. Only needed in
+          Nodejs version
+          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
+          needed in browser environment.
+          <br /><b><code>format</code></b>: The format of the JSON. Can be one of <b><code>row</code></b> or <b><code>column</code></b>.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b><code>format</code></b>: &quot;column&quot;
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
+
+The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+
+### Convert DataFrame/Series to JSON and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = df.to_json({ download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = df.to_json({
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON  and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ filePath: "./testOutput.json" });
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ fileName: "test_out.json" });
+```
+
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 9fd06ff..e412af9 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index b9d73a8..397b480 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
 
 ```markup
 <!DOCTYPE html>
@@ -44,11 +44,12 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-
+         
     </script>
 </body>
 
 </html>
+
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 48b3b1c..66dd124 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,7 +9,9 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
+
+
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -17,9 +19,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-## Setting up your environment
+### Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -29,9 +31,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):**
+**Update \(14th Feb 2021\):** 
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
 
 ```javascript
 npm install danfojs-node
@@ -44,7 +46,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-## Loading and processing your data
+### Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -52,11 +54,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-
+    
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-
-
+    
+    
 }
 ```
 
@@ -78,7 +80,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -108,7 +110,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -118,7 +120,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -136,6 +138,7 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -156,6 +159,7 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -179,7 +183,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -189,7 +193,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -246,11 +250,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-## Model Building With Tensorflow.js
+### Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
 
-Create a simple function called get\_model. This will construct and return a model when called.
+Create a simple function called get\_model. This will construct and return a model when called. 
 
 ```javascript
 function get_model() {
@@ -264,11 +268,12 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
 
 Next, you will create a function called _**train:**_
 
 ```javascript
+
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -280,7 +285,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-
+    
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -293,15 +298,15 @@ async function train() {
             }
         }
     });
-
+    
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
 
-The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -388,6 +393,7 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
+
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -413,13 +419,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index 480b689..f5f99a2 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -20,7 +20,7 @@ or
 yarn add danfojs-node
 ```
 
-For client side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
 
 ```text
 npm install danfojs
@@ -37,7 +37,7 @@ For use directly in HTML files, you can add the latest script tag from [JsDelivr
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js

From d44b5ac7105be4dca5a6798da389a1f3cdb15769 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 12:37:53 +0000
Subject: [PATCH 016/202] GitBook: [master] 11 pages modified

---
 README.md                                     |  12 +-
 api-reference/README.md                       |   2 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 +-
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 +++---
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 194 ++++--
 api-reference/input-output/danfo.read_json.md | 135 ++++-
 getting-started.md                            | 555 ++++++++----------
 11 files changed, 645 insertions(+), 491 deletions(-)

diff --git a/README.md b/README.md
index b170fbb..92e7da5 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
+* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
-* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
+* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
+New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/api-reference/README.md b/api-reference/README.md
index 492db09..70dff34 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index 692b225..b74b5da 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 54fc0ae..1cb3b8f 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,24 +17,18 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">Series or Dataframe</td>
-      <td style="text-align:left">The data to dummify</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>columns</b>: Array of column names to dummify. If not specified, all
-          categorical columns are encoded.</p>
-        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>data</b>: Array | Series | DataFrame</p>
+        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
+        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -55,7 +49,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
 dum_df.print()
 ```
 {% endtab %}
@@ -71,19 +65,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -102,7 +96,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df)
+let dum_df = dfd.get_dummies({ data: df })
 dum_df.print()
 ```
 {% endtab %}
@@ -165,7 +159,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 5251d48..752a196 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 43b2476..5e66567 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 4077198..2e7c0a3 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Converts an array of Date time string to Date object.
+description: Convert Object to datetime format
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,12 +17,15 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>data</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
-      <td style="text-align:left">Array, Series</td>
+      <td style="text-align:left">Object</td>
       <td style="text-align:left">
-        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
+        <p>{</p>
+        <p><b>data</b>: Array | Series, the object to convert.</p>
+        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
+          and &quot;%m-d-Y H%M%S%&quot;</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -35,16 +38,14 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
 
 ## **Examples**
 
-Converts a **Series** of Date strings to Date time and get time properties
+### **Convert Series to Dummy codes**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime({data:sf})
+let dt = dfd.to_datetime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -64,99 +65,85 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
 //Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 3                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╚═══╧══════════════════════╝
 
 //string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Jan                  ║
+╟───┼──────────────────────╢
+║ 1 │ Feb                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mar                  ║
+╟───┼──────────────────────╢
+║ 3 │ Apr                  ║
+╟───┼──────────────────────╢
+║ 4 │ May                  ║
+╚═══╧══════════════════════╝
 
 //string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Mon                  ║
+╟───┼──────────────────────╢
+║ 1 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 2 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 3 │ Sun                  ║
+╟───┼──────────────────────╢
+║ 4 │ Tue                  ║
+╚═══╧══════════════════════╝
+
+//Int representation for day of the week
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 2                    ║
+╚═══╧══════════════════════╝
 //Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
 
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 0                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f015c6e..f071ac9 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,5 +1,7 @@
 ---
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
+description: >-
+  Functions and methods to easily read tabular/structured data into DataFrame
+  and Series Objects
 ---
 
 # Input/Output
@@ -9,11 +11,8 @@ description: Functions for reading tabular/structured data into DataFrame/Series
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
-| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
-| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
-| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
+Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 570c7c3..d1ab8f8 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,15 +20,11 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">File object, File path, URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL or a valid
-          local file path.</p>
-        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
-          also supported.</p>
-      </td>
+      <td style="text-align:left"><em><b>source</b></em>:</td>
+      <td style="text-align:left">str, path or URL</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
+        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
+        are only accepted in Nodejs environment.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -36,16 +32,15 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
-      </td>
-      <td style="text-align:left">
-        <p><b>{</b>
+        <p>A CSV Config object that contains configurations for reading and decoding
+          from CSV file(s). Supported params are:</p>
+        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
+        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
+        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
+          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
         </p>
-        <p><b>dynamicTyping: </b>true,</p>
-        <p><b>header: </b>true</p>
-        <p>}</p>
       </td>
+      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -54,18 +49,16 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
+### Example
 
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
+The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
+dfd.read_csv("user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -75,9 +68,45 @@ dfd.read_csv("./user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                //do something like display descriptive statistics
+                df.describe().print()
+                
+            }).catch(err => {
+                console.log(err);
+            })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
 {% endtabs %}
 
-### **Reading files from a URL**
+**Loading Files from URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -105,8 +134,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -134,11 +163,29 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-### **Reading an input file object in the browser**
+**Reading Large Files**
+
+For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
 
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
+**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
 
 {% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_process_data() {
+  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
+  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
+
+  df_chunk1.head().print()
+  df_chunk2.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -147,27 +194,100 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-    <input type="file" id="file" name="file">
+
+    <div id="plot_div"></div>
     <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
+
+
+        async function run(start, end) {
+            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+            let df = await dfd.read_csv(data_url, { start, end })
+            console.log(df.shape)
+            df.head().print()
+        }
+
+        run(0, 5)
+        run(5, 10)
+
     </script>
 </body>
 
 </html>
 
+<!
+Output in console
+
+[5, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+[10, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+>
+
 ```
 {% endtab %}
 {% endtabs %}
 
+```bash
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+
+
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 49528d0..5b54e20 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,24 +6,83 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-| **Parameters** | Type | Description |
-| :--- | :--- | :--- |
-| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL. Valid
+          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
+          and absolute paths are supported</p>
+        <p></p>
+        <p>An input file object is also supported in the browser.</p>
+      </td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Configuration options for reading JSON files. Supported options:</p>
+        <p> <code>method</code>: The HTTP method to use.</p>
+        <p><code>headers</code>: Additional headers to send with the request if reading
+          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
+          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
+          browsers.</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b>method</b>: &quot;GET&quot;
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
-The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
+### **Reading JSON files from local disk**
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("user_names.json")
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
   .then(df => {
   
    df.head().print()
@@ -36,6 +95,70 @@ dfd.read_json("user_names.json")
 
 {% tab title="Browser" %}
 ```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
 
 ```
 {% endtab %}
diff --git a/getting-started.md b/getting-started.md
index f5f99a2..a88f855 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,43 +8,27 @@ description: >-
 
 ## Installation
 
-There are three ways to install and use Danfo.js in your application
-
-For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
+There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
 
 ```text
 npm install danfojs-node
-
-or
-
-yarn add danfojs-node
-```
-
-For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
-
-```text
-npm install danfojs
-
-or
-
-yarn add danfojs
 ```
 
-For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
+You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
+We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -130,7 +114,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ undefined            ║
+║ 3 │ NaN                  ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -184,15 +168,17 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 12 ║
-╟───┼────╢
-║ 1 │ 34 ║
-╟───┼────╢
-║ 2 │ 56 ║
-╟───┼────╢
-║ 3 │ 2  ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -400,17 +386,19 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤═════════╗
-║ A │ string  ║
-╟───┼─────────╢
-║ B │ string  ║
-╟───┼─────────╢
-║ C │ int32   ║
-╟───┼─────────╢
-║ D │ float32 ║
-╟───┼─────────╢
-║ E │ string  ║
-╚═══╧═════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ string               ║
+╟───┼──────────────────────╢
+║ B │ string               ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ float32              ║
+╟───┼──────────────────────╢
+║ E │ string               ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -717,23 +705,19 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║        │ A                 │ B                 │ C                 │ D                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
+╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -788,17 +772,15 @@ df.print()
 {% endtabs %}
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ NaN               │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ -4                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 47.3              │ 5                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -20               │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -957,7 +939,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing:
+Showing label slicing, both endpoints are _included_:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -988,15 +970,17 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- 
+ Shape: (3,2) 
 
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1042,13 +1026,15 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1092,11 +1078,13 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1115,62 +1103,17 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╗
-║            │ Count             ║
-╟────────────┼───────────────────╢
-║ 0          │ 21                ║
-╟────────────┼───────────────────╢
-║ 1          │ 5                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 30                ║
-╟────────────┼───────────────────╢
-║ 3          │ 10                ║
-╚════════════╧═══════════════════╝
-```
-
-#### Selection with Boolean Mask
-
-You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
-
-```javascript
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-
-let sub_df = df.iloc({ rows: df["Count"].gt(10) })
-sub_df.print()
-```
-
-```text
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
-
-```javascript
-let sub_df = df.iloc({
-    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
-    columns: [0]
-})
-sub_df.print()
-
-//output
-╔════════════╤═══════════════════╗
-║            │ Name              ║
-╟────────────┼───────────────────╢
-║ 0          │ Apples            ║
-╚════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1251,7 +1194,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
+Selecting values from a DataFrame works on string columns:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1259,36 +1202,34 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-let query_df = df.query({ condition: df["B"].gt(5) })
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
 query_df.print() //after query
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let query_df = df.query({
-    condition:
-        df["B"].gt(5).and(df["A"].lt(30))
-})
-query_df.print() //after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+//after query
 
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1308,7 +1249,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
+df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1340,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-
+        
         df.print()
 
     </script>
@@ -1368,22 +1309,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                │ 45                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                │ 55                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
- **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
+danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
 
 To drop any rows that have missing data:
 
@@ -1392,13 +1333,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropna({axis: 0})
 df_drop.print()
 ```
 {% endtab %}
@@ -1439,27 +1380,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ NaN               │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+ Shape: (1,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1467,45 +1408,44 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(1)
+let df_drop = df.dropna({axis: 1})
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ NaN               │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 34                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔════════════╤═══════════════════╗
-║            │ C                 ║
-╟────────────┼───────────────────╢
-║ 0          │ 3                 ║
-╟────────────┼───────────────────╢
-║ 1          │ 6                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 40                ║
-╟────────────┼───────────────────╢
-║ 3          │ 78                ║
-╚════════════╧═══════════════════╝
-
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
 ```
 
 Filling missing data:
@@ -1515,13 +1455,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-  }
+            "Name": ["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10],
+            "Price": [200, 300, 40, 250]
+          }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillna({ values: ["Apples"] })
 
 df_filled.print()
 ```
@@ -1545,16 +1485,14 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
+let data = {"Name":["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10], 
+            "Price": [200, 300, 40, 250]}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
+let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
 df_filled.print()
 ```
 
@@ -1616,7 +1554,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data, { columns: cols })
+let df = new dfd.DataFrame(data)
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1670,11 +1608,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ A │ 4                    ║
+║ 0 │ 4                    ║
 ╟───┼──────────────────────╢
-║ B │ 38.5                 ║
+║ 1 │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ C │ 31.75                ║
+║ 2 │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1728,7 +1666,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, { axis: 1 })
+let df_new = df.sub(sf, axis = 1)
 
 df_new.print()
 ```
@@ -1749,7 +1687,7 @@ df_new.print()
 
 #### Apply
 
-Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
+Applying JavaScript functions to the data:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1758,11 +1696,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
+function sum_vals(x) {
+    return x + 20
 }
 
-let df_new = df.apply(sum_vals, { axis: 1 })
+let df_new = df.apply({callable: sum_vals })
 df_new.print()
 ```
 
@@ -1783,18 +1721,22 @@ df_new.print()
 
 //after applying
 
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 22                │ 23                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 24                │ 25                │ 26                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 40                │ 50                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 59                │ 109               │ 98                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Applying Element wise operations to the data:
+Applying Tensorflow functions to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
+You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1803,11 +1745,13 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 10
+df.print()
+
+function log_sig(x) {
+    return x.logSigmoid()
 }
 
-let df_new = df.apply_map(sum_vals)
+let df_new = df.apply({axis: 0, callable: log_sig })
 df_new.print()
 ```
 
@@ -1826,19 +1770,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after apply_map
+ //after applying
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 11                │ 12                │ 13                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 14                │ 15                │ 16                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 30                │ 40                │ 50                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 49                │ 99                │ 88                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2325,36 +2269,29 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
+Convert any DataFrame to csv format.
 
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = {
-    "Abs": [20.2, 30, 47.3],
-    "Count": [34, 4, 5],
-    "country code": ["NG", "FR", "GH"]
-}
+          "Abs": [20.2, 30, 47.3],
+          "Count": [34, 4, 5],
+          "country code": ["NG", "FR", "GH"]
+        }
 
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.to_csv()
-console.log(csv);
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-
-
-df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
-
-
-df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
+df.to_csv().then((csv) => {
+  console.log(csv);
 
+}).catch((err) => {
 
+  console.log(err);
+})
 ```
 
 ```text
@@ -2435,24 +2372,18 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.to_json()
-console.log(json);
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
+df.to_json().then((json) => {
+  console.log(json);
 
+}).catch((err) => {
 
-const json = df.to_json({format: "row"})
-console.log(json);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
+  console.log(err);
+})
+```
 
+```text
+[{"Abs":20.2,"Count":34,"country code":"NG"},
+{"Abs":30,"Count":4,"country code":"FR"},
+{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From 5c9aaa86a2a92033a289cc9e1d1743812b134e5a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 12:41:22 +0000
Subject: [PATCH 017/202] GitBook: [master] 2 pages modified

---
 api-reference/input-output/danfo.read_excel.md | 18 ++++++++----------
 api-reference/input-output/danfo.read_json.md  |  4 +++-
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..a8165d2 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,14 +26,11 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
+>           Default will be the first sheet.
+>           <br /><b>method</b>: The HTTP method to use.</p>
+>         <p><b>headers</b>: Additional headers to send with the request if reading
+>           JSON from remote url. Supports all the node-fetch options in Nodejs, and
+>           all fetch options in browsers.</p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -46,14 +43,15 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read\_excel** method can read excel files saved on a local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 5b54e20..2e978c3 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -35,11 +35,13 @@ description: Reads a JSON file into DataFrame.
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>Configuration options for reading JSON files. Supported options:</p>
-        <p> <code>method</code>: The HTTP method to use.</p>
+        <p>{
+          <br /><code>method</code>: The HTTP method to use.</p>
         <p><code>headers</code>: Additional headers to send with the request if reading
           JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
           Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
           browsers.</p>
+        <p>}</p>
       </td>
       <td style="text-align:left">{
         <br /><b>method</b>: &quot;GET&quot;

From 97213423825129342e7f6282b33136a341427426 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 13:03:06 +0000
Subject: [PATCH 018/202] GitBook: [master] 4 pages modified

---
 SUMMARY.md                                    |   1 +
 .../input-output/danfo.read_excel.md          |  18 ++-
 api-reference/input-output/danfo.read_json.md | 137 +-----------------
 api-reference/series/series.and.md            | 132 +++++++++++++++++
 4 files changed, 149 insertions(+), 139 deletions(-)
 create mode 100644 api-reference/series/series.and.md

diff --git a/SUMMARY.md b/SUMMARY.md
index 9adf7af..7ec608e 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -111,6 +111,7 @@
     * [Series.sample](api-reference/series/series.sample.md)
     * [Series.tail](api-reference/series/series.tail.md)
     * [Series.head](api-reference/series/series.head.md)
+    * [Series.and](api-reference/series/series.and.md)
   * [Dataframe](api-reference/dataframe/README.md)
     * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index a8165d2..d8e3d9e 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,11 +26,14 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.
->           <br /><b>method</b>: The HTTP method to use.</p>
->         <p><b>headers</b>: Additional headers to send with the request if reading
->           JSON from remote url. Supports all the node-fetch options in Nodejs, and
->           all fetch options in browsers.</p>
+>           Default will be the first sheet.</p>
+>         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
+>           The Index of the row which represents the header(columns) of the data.
+>           Default will be the first non empty row.</p>
+>         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
+>           index of the row from which actual data(content) starts. Default will be
+>           the next row of <code>header_index</code>
+>         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -43,15 +46,14 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved on a local disk, or over the internet.
+The **read\_excel** method can read excel files saved from local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
-const path = require("path")
 
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+local_xcel = 'testexcel.xls'
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 2e978c3..49528d0 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,85 +6,24 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL. Valid
-          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
-          and absolute paths are supported</p>
-        <p></p>
-        <p>An input file object is also supported in the browser.</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Configuration options for reading JSON files. Supported options:</p>
-        <p>{
-          <br /><code>method</code>: The HTTP method to use.</p>
-        <p><code>headers</code>: Additional headers to send with the request if reading
-          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
-          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
-          browsers.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b>method</b>: &quot;GET&quot;
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
+| **Parameters** | Type | Description |
+| :--- | :--- | :--- |
+| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+### Example
 
-### **Reading JSON files from local disk**
+The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+dfd.read_json("user_names.json")
   .then(df => {
   
    df.head().print()
@@ -97,70 +36,6 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 
 {% tab title="Browser" %}
 ```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
 
 ```
 {% endtab %}
diff --git a/api-reference/series/series.and.md b/api-reference/series/series.and.md
new file mode 100644
index 0000000..85c22cb
--- /dev/null
+++ b/api-reference/series/series.and.md
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical AND between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.and
+
+> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical AND between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.and(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+

From d33fe63ebd0ac5e4ae85a0a818a0135dcd86bd99 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 13:39:23 +0000
Subject: [PATCH 019/202] GitBook: [master] 2 pages modified

---
 SUMMARY.md                        |   1 +
 api-reference/series/series.or.md | 132 ++++++++++++++++++++++++++++++
 2 files changed, 133 insertions(+)
 create mode 100644 api-reference/series/series.or.md

diff --git a/SUMMARY.md b/SUMMARY.md
index 7ec608e..6c1e2b7 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -112,6 +112,7 @@
     * [Series.tail](api-reference/series/series.tail.md)
     * [Series.head](api-reference/series/series.head.md)
     * [Series.and](api-reference/series/series.and.md)
+    * [Series.or](api-reference/series/series.or.md)
   * [Dataframe](api-reference/dataframe/README.md)
     * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
diff --git a/api-reference/series/series.or.md b/api-reference/series/series.or.md
new file mode 100644
index 0000000..948c61d
--- /dev/null
+++ b/api-reference/series/series.or.md
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical OR between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.or
+
+> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical OR between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.or(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+

From 3f8fbed71543200531aaff6016491b1f9b9921e7 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 13:47:46 +0000
Subject: [PATCH 020/202] GitBook: [master] one page modified

---
 api-reference/series/series.append.md | 172 ++++++++++++++++++--------
 1 file changed, 117 insertions(+), 55 deletions(-)

diff --git a/api-reference/series/series.append.md b/api-reference/series/series.append.md
index 473b01a..c2e69a8 100644
--- a/api-reference/series/series.append.md
+++ b/api-reference/series/series.append.md
@@ -1,73 +1,136 @@
-# Series.append
+---
+description: Add a new value or values to the end of a Series.
+---
 
-danfo.Series.**append**\(val, inplace\) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)\]
+# Series.append
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| val | Array \| Series | Object to append |  |
-| inplace | Boolean | Whether to perform operation inplace or not | false |
+danfo.Series.**append**\(newValue, index, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">newValue</td>
+      <td style="text-align:left">Array, Series</td>
+      <td style="text-align:left">Object to append</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">index</td>
+      <td style="text-align:left">Array</td>
+      <td style="text-align:left">The new index value(s) to append to the Series. Must contain the same
+        number of values as <code>newValues</code> as they map <code>1 - 1</code>.</td>
+      <td
+      style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>{
+          <br /><b>inplace</b>: Whether to perform operation in-place or not.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">false</td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
        ****return **Series**
 
-## **Examples**
+\*\*\*\*
 
-### **Append Series to Series**
+### **Append new Series to the end of a Series**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-let sf1 = new dfd.Series([1, 2, 3, 4])
-let sf2 = new dfd.Series(["a", "b", "c"], {index: ['f1', 'f2', 'f3']})
+const dfd = require("danfojs-node")
 
-new_sf = sf1.append(sf2)
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+
+new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
 new_sf.print()
 ```
 {% endtab %}
+{% endtabs %}
 
-{% tab title="Browser" %}
-```
-
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
 
+### **Append new Series to the end of a Series in-place**
+
 {% tabs %}
-{% tab title="Output" %}
-```text
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 0  │ 1                    ║
-╟────┼──────────────────────╢
-║ 1  │ 2                    ║
-╟────┼──────────────────────╢
-║ 2  │ 3                    ║
-╟────┼──────────────────────╢
-║ 3  │ 4                    ║
-╟────┼──────────────────────╢
-║ f1 │ a                    ║
-╟────┼──────────────────────╢
-║ f2 │ b                    ║
-╟────┼──────────────────────╢
-║ f3 │ c                    ║
-╚════╧══════════════════════╝
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+let newIndex = ["f5", "f6", "f7"]
+
+sf1.append(sf2, newIndex, { inplace: true })
+sf1.print()
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
+```text
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+```
 
-### **Append Array to Series**
+### **Append an array to the end of Series**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-let sf1 = new dfd.Series([1, 2, 3, 4])
-let arr = ['f1', 'f2', 'f3']
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sfArr = ["a", "b", "c"]
 
-new_sf = sf1.append(arr)
+new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
 new_sf.print()
 
 ```
@@ -83,23 +146,22 @@ new_sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 0 │ f1                   ║
-╟───┼──────────────────────╢
-║ 1 │ f2                   ║
-╟───┼──────────────────────╢
-║ 2 │ f3                   ║
-╚═══╧══════════════════════╝
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}

From ed839475f1670c375226d26996ddccb5e0f31153 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 13:55:38 +0000
Subject: [PATCH 021/202] GitBook: [master] 4 pages modified

---
 api-reference/series/series.cummax.md  | 21 +++++++++++++++++----
 api-reference/series/series.cummin.md  | 21 +++++++++++++++++----
 api-reference/series/series.cumprod.md | 21 +++++++++++++++++----
 api-reference/series/series.cumsum.md  | 23 ++++++++++++++++++-----
 4 files changed, 69 insertions(+), 17 deletions(-)

diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 201ae11..afad306 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -4,11 +4,24 @@ description: Returns cumulative maximum over a series
 
 # Series.cummax
 
-> danfo.Series.**cummax**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L825)\]
+> danfo.Series.**cummax**\(options\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)\]
 
-**Parameters:** None
-
-**Return**: Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">options</th>
+      <th style="text-align:left">Object</th>
+      <th style="text-align:left">
+        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
+        <p></p>
+      </th>
+      <th style="text-align:left">{
+        <br /><b>inplace</b>: false
+        <br />}</th>
+    </tr>
+  </thead>
+  <tbody></tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index f2337a8..bffe0de 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -4,11 +4,24 @@ description: Returns the cumulative min of a Series
 
 # Series.cummin
 
-> danfo.Series.**cummin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L816)\]
+> danfo.Series.**cummin**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)\]
 
-**Parameters:** None
-
-**Return**: Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">options</th>
+      <th style="text-align:left">Object</th>
+      <th style="text-align:left">
+        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
+        <p></p>
+      </th>
+      <th style="text-align:left">{
+        <br /><b>inplace</b>: false
+        <br />}</th>
+    </tr>
+  </thead>
+  <tbody></tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 6b72547..96461e4 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -4,11 +4,24 @@ description: Return the cumulative product of a series
 
 # Series.cumprod
 
-> danfo.Series.**cumprod**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L834)\]
+> danfo.Series.**cumprod**\(\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)\]
 
-**Parameters:** None
-
-**Return**: Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">options</th>
+      <th style="text-align:left">Object</th>
+      <th style="text-align:left">
+        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
+        <p></p>
+      </th>
+      <th style="text-align:left">{
+        <br /><b>inplace</b>: false
+        <br />}</th>
+    </tr>
+  </thead>
+  <tbody></tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index 205d777..fd475be 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -4,11 +4,24 @@ description: Return a cumulative sum of a series
 
 # Series.cumsum
 
-> danfo.Series.**cumsum**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L807)\]
-
-**Parameters:** None
-
-**Return**: Series
+> danfo.Series.**cumsum**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">options</th>
+      <th style="text-align:left">Object</th>
+      <th style="text-align:left">
+        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
+        <p></p>
+      </th>
+      <th style="text-align:left">{
+        <br /><b>inplace</b>: false
+        <br />}</th>
+    </tr>
+  </thead>
+  <tbody></tbody>
+</table>
 
 **Example**
 

From bd93f00d4e447e158765488d6a8403b91241cba1 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 14:26:47 +0000
Subject: [PATCH 022/202] GitBook: [master] 211 pages modified

---
 api-reference/series/series.argsort.md        |  50 +++++++-
 api-reference/series/series.cummax.md         |  27 +++--
 api-reference/series/series.cummin.md         |  27 +++--
 api-reference/series/series.cumprod.md        |  39 ++++---
 api-reference/series/series.cumsum.md         |  27 +++--
 api-reference/series/series.dt.day.md         |  44 +++----
 api-reference/series/series.dt.hour.md        |  18 ++-
 api-reference/series/series.dt.month.md       |  28 +++--
 api-reference/series/series.dt.month_name.md  |  19 ++-
 api-reference/series/series.dt.monthday.md    |  19 ++-
 api-reference/series/series.dt.second.md      |  21 ++--
 api-reference/series/series.dt.weekdays.md    |  85 +++++++-------
 api-reference/series/series.dt.year.md        |  19 ++-
 api-reference/series/series.fillna.md         |  40 +++++--
 api-reference/series/series.replace.md        | 110 +++++++++++-------
 api-reference/series/series.str.capitalize.md |  26 ++++-
 api-reference/series/series.str.charat.md     |  32 ++++-
 api-reference/series/series.str.concat.md     |  46 +++++++-
 api-reference/series/series.str.endswith.md   |  34 +++++-
 api-reference/series/series.str.includes.md   |  34 +++++-
 api-reference/series/series.str.indexof.md    |  34 +++++-
 api-reference/series/series.str.join.md       |  61 +++++++---
 .../series/series.str.lastindexof.md          |  34 +++++-
 api-reference/series/series.str.len.md        |  58 +++++----
 api-reference/series/series.str.repeat.md     |  34 +++++-
 api-reference/series/series.str.replace.md    |  41 ++++++-
 api-reference/series/series.str.search.md     |  40 +++++--
 api-reference/series/series.str.slice.md      |  41 ++++++-
 api-reference/series/series.str.split.md      |   3 +-
 api-reference/series/series.str.startswith.md |  34 +++++-
 api-reference/series/series.str.substr.md     |  42 ++++++-
 api-reference/series/series.str.substring.md  |  41 ++++++-
 .../series/series.str.tolowercase.md          |  28 ++++-
 .../series/series.str.touppercase.md          |  26 ++++-
 api-reference/series/series.str.trim.md       |  26 ++++-
 35 files changed, 935 insertions(+), 353 deletions(-)

diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 29c19e3..8926e7f 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -4,11 +4,30 @@ description: Return the integer indices that would sort the Series values
 
 # Series.argsort
 
-> danfo.Series.**argsort**\(ascending\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
+> danfo.Series.**argsort**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| ascending | boolean | How to sort the indices. either **True** or **False** | true |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>ascending</b>: How to sort the indices</td>
+      <td style="text-align:left">
+        <p>{
+          <br /><b>ascending</b>: true</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series \(int element\)
 
@@ -22,7 +41,9 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print()
+sf.argsort().print() //defaults to ascending order
+sf.argsort({ ascending: false }).print()
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -49,6 +70,25 @@ sf.argsort().print()
 ╟───┼──────────────────────╢
 ║ 7 │ 1                    ║
 ╚═══╧══════════════════════╝
+
+//sorted in descending order
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 6 ║
+╟───┼───╢
+║ 2 │ 4 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index afad306..78422ea 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -9,18 +9,25 @@ description: Returns cumulative maximum over a series
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">options</th>
-      <th style="text-align:left">Object</th>
-      <th style="text-align:left">
-        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
-        <p></p>
-      </th>
-      <th style="text-align:left">{
-        <br /><b>inplace</b>: false
-        <br />}</th>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
     </tr>
   </thead>
-  <tbody></tbody>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
 </table>
 
 **Example**
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index bffe0de..d368c0c 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -9,18 +9,25 @@ description: Returns the cumulative min of a Series
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">options</th>
-      <th style="text-align:left">Object</th>
-      <th style="text-align:left">
-        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
-        <p></p>
-      </th>
-      <th style="text-align:left">{
-        <br /><b>inplace</b>: false
-        <br />}</th>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
     </tr>
   </thead>
-  <tbody></tbody>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
 </table>
 
 **Example**
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 96461e4..41c2898 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -6,22 +6,29 @@ description: Return the cumulative product of a series
 
 > danfo.Series.**cumprod**\(\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">options</th>
-      <th style="text-align:left">Object</th>
-      <th style="text-align:left">
-        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
-        <p></p>
-      </th>
-      <th style="text-align:left">{
-        <br /><b>inplace</b>: false
-        <br />}</th>
-    </tr>
-  </thead>
-  <tbody></tbody>
-</table>
+> <table>
+>   <thead>
+>     <tr>
+>       <th style="text-align:left">Parameters</th>
+>       <th style="text-align:left">Type</th>
+>       <th style="text-align:left">Description</th>
+>       <th style="text-align:left">Default</th>
+>     </tr>
+>   </thead>
+>   <tbody>
+>     <tr>
+>       <td style="text-align:left">options</td>
+>       <td style="text-align:left">Object</td>
+>       <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+>       <td
+>       style="text-align:left">
+>         <p>{</p>
+>         <p><b>inplace</b>: false</p>
+>         <p>}</p>
+>         </td>
+>     </tr>
+>   </tbody>
+> </table>
 
 **Example**
 
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index fd475be..db8021c 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -9,18 +9,25 @@ description: Return a cumulative sum of a series
 <table>
   <thead>
     <tr>
-      <th style="text-align:left">options</th>
-      <th style="text-align:left">Object</th>
-      <th style="text-align:left">
-        <p><b>inplace</b>: Whether to perform operation in-place or not.</p>
-        <p></p>
-      </th>
-      <th style="text-align:left">{
-        <br /><b>inplace</b>: false
-        <br />}</th>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
     </tr>
   </thead>
-  <tbody></tbody>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
 </table>
 
 **Example**
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 09334c1..3e4fd5c 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -17,7 +17,7 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
 let sf = new dfd.Series(data)
 
 sf.dt.day().print()
@@ -32,26 +32,26 @@ sf.dt.day().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 0                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
 ```
 
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 1243049..8b9287f 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -22,7 +22,7 @@ let sf = new dfd.Series(data)
 // print series
 sf.print()
 // print hour series
-sf.dt.hour().print()
+sf.dt.hours().print()
 ```
 {% endtab %}
 
@@ -37,21 +37,17 @@ sf.dt.hour().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 2:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print hour series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╚═══╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index 0e6dedb..a1b449f 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -32,20 +32,18 @@ sf.dt.month().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 7                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╟───┼──────────────────────╢
-║ 4 │ 11                   ║
-╟───┼──────────────────────╢
-║ 5 │ 11                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 6  ║
+╟───┼────╢
+║ 1 │ 7  ║
+╟───┼────╢
+║ 2 │ 9  ║
+╟───┼────╢
+║ 3 │ 9  ║
+╟───┼────╢
+║ 4 │ 11 ║
+╟───┼────╢
+║ 5 │ 11 ║
+╚═══╧════╝
 ```
 
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index 82a7d3c..b137205 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -37,8 +37,6 @@ sf.dt.month_name().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2018, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 2/1/2018, 1:00:00 AM ║
@@ -46,16 +44,13 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print month name series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ Jan ║
+╟───┼─────╢
+║ 1 │ Feb ║
+╟───┼─────╢
+║ 2 │ Mar ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index 1c7e556..e52c916 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -37,8 +37,6 @@ sf.dt.monthday().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/2/2000, 1:00:00 AM ║
@@ -46,16 +44,13 @@ sf.dt.monthday().print()
 ║ 2 │ 1/3/2000, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print monthdays
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index e6fd771..5925e40 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -25,7 +25,7 @@ let sf = new dfd.Series(data)
 sf.print()
 
 //print the seconds obtained
-sf.seconds().print()
+sf.dt.seconds().print()
 ```
 {% endtab %}
 
@@ -41,8 +41,6 @@ sf.seconds().print()
 ```text
 
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 1:00:01 AM ║
@@ -50,16 +48,13 @@ sf.seconds().print()
 ║ 2 │ 1/1/2000, 1:00:02 AM ║
 ╚═══╧══════════════════════╝
 
-//the seconds obtained
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╚═══╧═══╝
 
 ```
 {% endtab %}
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index dc79e6c..64945fa 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -34,49 +34,48 @@ sf.dt.weekdays().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12/31/2016, 1:00:... ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
 
-//print days of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 1 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 3 │ Tue                  ║
-╟───┼──────────────────────╢
-║ 4 │ Wed                  ║
-╟───┼──────────────────────╢
-║ 5 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 6 │ Fri                  ║
-╟───┼──────────────────────╢
-║ 7 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 8 │ Sun                  ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ Sat  ║
+╟───┼──────╢
+║ 1 │ Sun  ║
+╟───┼──────╢
+║ 2 │ Mon  ║
+╟───┼──────╢
+║ 3 │ Tue  ║
+╟───┼──────╢
+║ 4 │ Wed  ║
+╟───┼──────╢
+║ 5 │ Thur ║
+╟───┼──────╢
+║ 6 │ Fri  ║
+╟───┼──────╢
+║ 7 │ Sat  ║
+╟───┼──────╢
+║ 8 │ Sun  ║
+╟───┼──────╢
+║ 9 │ Mon  ║
+╚═══╧══════╝
 ```
 
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index a594255..c6a4040 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -28,8 +28,6 @@ sf.dt.year().print()
 ```text
 //print date time series
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2001, 1:00:00 AM ║
@@ -37,15 +35,12 @@ sf.dt.year().print()
 ║ 2 │ 1/1/2002, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print the year series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 1 │ 2001                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2002                 ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ 2000 ║
+╟───┼──────╢
+║ 1 │ 2001 ║
+╟───┼──────╢
+║ 2 │ 2002 ║
+╚═══╧══════╝
 ```
 
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index b1bea1b..f14e5d3 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -4,18 +4,38 @@ description: Replace all NaN value with specified value
 
 # Series.fillna
 
-> danfo.Series.**fillna**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**value**"\] | int \| String\| bool | value to replace the NaN values |  |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-
-**Returns:**  Series
+> danfo.Series.**fillna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p><b>value</b>: The value to replace all missing value with.</p>
+        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
+          or not. Defaults to false</p>
+      </td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Examples**
 
-Fill nan value and then return new series
+### Fill nan value and then return new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -62,7 +82,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Fill nan value without returning new Series
+### Fill nan value in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index 4b49fa2..cf1dd06 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,19 +4,41 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**\(kwargs\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**replace**"\] | int \| String\| bool | value to be replaced |  |
-| kwargs\["**with**"\] | int \| String \| bool | value to replace the previous value |  |
-| kwargs\["**inplace**"\] | Bool | mutate the series or create the new series | false |
+> danfo.Series.**replace**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p> <b>oldValue</b>: The value you want to replace</p>
+        <p><b>newValue</b>: The new value you want to replace the old value with</p>
+        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
+          or not</p>
+      </td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
 **Examples**
 
-Replace a value in a series and return a new series
+### Replace a value in a series and return a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -25,7 +47,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ replace: 10, with: -50 })
+let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
 
 sf_rep.print()
 ```
@@ -35,28 +57,27 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-Replace a value in a series , with out returning a new series
+### Replace a value in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -65,7 +86,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ replace: 10, with: -50, inplace:true })
+sf.replace({ oldValue: 10, newValue: -50, inplace: true})
 
 sf.print()
 ```
@@ -73,22 +94,21 @@ sf.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
 ```
 
diff --git a/api-reference/series/series.str.capitalize.md b/api-reference/series/series.str.capitalize.md
index 5df261a..10483b3 100644
--- a/api-reference/series/series.str.capitalize.md
+++ b/api-reference/series/series.str.capitalize.md
@@ -4,9 +4,31 @@ description: Capitalize the first character of each string
 
 # Series.str.capitalize
 
-> danfo.Series.str.**capitalize**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
+> danfo.Series.str.**capitalize**\(options\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.charat.md b/api-reference/series/series.str.charat.md
index 3df2bbc..9cb1d66 100644
--- a/api-reference/series/series.str.charat.md
+++ b/api-reference/series/series.str.charat.md
@@ -6,9 +6,35 @@ description: Obtain the character at the specified index (position)
 
 > danfo.Series.str.**charAt**\(index\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| index | int | the index at which to obtain the character | 0 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">index</td>
+      <td style="text-align:left">int</td>
+      <td style="text-align:left">the index at which to obtain the character</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(Character element\)
 
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index 0a24597..b27bc00 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -4,12 +4,46 @@ description: Joins two or more strings/arrays
 
 # Series.str.concat
 
-> danfo.Series.str.**concat**\(other, position\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | string or Array | string or list of strings to add to each string element of the series | "" |
-| position | Int | The position to add the **other** \(string or array\) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1  |
+> danfo.Series.str.**concat**\(other, position, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">string or Array</td>
+      <td style="text-align:left">string or list of strings to add to each string element of the series</td>
+      <td
+      style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">position</td>
+      <td style="text-align:left">Int</td>
+      <td style="text-align:left">The position to add the <b>other </b>(string or array) is either 0 or 1.
+        0 is to add the other at the beginning of each of the string element, and
+        1 is to add to the end of the string element</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series \(String element\)
 
diff --git a/api-reference/series/series.str.endswith.md b/api-reference/series/series.str.endswith.md
index 645294d..18753cb 100644
--- a/api-reference/series/series.str.endswith.md
+++ b/api-reference/series/series.str.endswith.md
@@ -4,11 +4,37 @@ description: Checks whether a string ends with specified characters
 
 # Series.str.endsWith
 
-> danfo.Series.str.**endsWith**\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
+> danfo.Series.str.**endsWith**\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.includes.md b/api-reference/series/series.str.includes.md
index c2cb4af..cfa9c16 100644
--- a/api-reference/series/series.str.includes.md
+++ b/api-reference/series/series.str.includes.md
@@ -4,11 +4,37 @@ description: Checks whether a string contains the specified string/characters
 
 # Series.str.includes
 
-> danfo.Series.str.includes\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
+> danfo.Series.str.includes\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index a823d20..fe93a74 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -4,11 +4,37 @@ description: the position of the first found occurrence of a specified value in
 
 # Series.str.indexOf
 
-> danfo.Series.str.indexOf\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
+> danfo.Series.str.indexOf\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to obtain its index | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the string to obtain its index</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index 4c17295..a32c1bb 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -4,12 +4,43 @@ description: Join a new string value to all string elements in a Series.
 
 # Series.str.join
 
-> danfo.Series.str.**join**\(valToJoin,joinChar\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
+> danfo.Series.str.**join**\(valToJoin, joinChar, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| valToJoin | String | the string value you want to  |  "" |
-| joinChar | String | The delimiter to specify the joining | " " |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">valToJoin</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">the string value you want to</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">joinChar</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">The delimiter to specify the joining</td>
+      <td style="text-align:left">&quot; &quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
@@ -38,17 +69,15 @@ sf.str.join("new", "_").print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part_new       ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city_new    ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentenc... ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe_new        ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════════╗
+║ 0 │ lower part_new         ║
+╟───┼────────────────────────╢
+║ 1 │ CAPITALS city_new      ║
+╟───┼────────────────────────╢
+║ 2 │ this is a sentence_new ║
+╟───┼────────────────────────╢
+║ 3 │ SwAp CaSe_new          ║
+╚═══╧════════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.lastindexof.md b/api-reference/series/series.str.lastindexof.md
index 130c50c..d2bfa98 100644
--- a/api-reference/series/series.str.lastindexof.md
+++ b/api-reference/series/series.str.lastindexof.md
@@ -6,11 +6,37 @@ description: >-
 
 # Series.str.lastIndexOf
 
-danfo.Series.str.lastIndexOf\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
+danfo.Series.str.lastIndexOf\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to search for | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
diff --git a/api-reference/series/series.str.len.md b/api-reference/series/series.str.len.md
index 60153e8..be82b70 100644
--- a/api-reference/series/series.str.len.md
+++ b/api-reference/series/series.str.len.md
@@ -4,13 +4,31 @@ description: Obtain the length of each string element in a Series
 
 # Series.str.len
 
-> danfo.Series.str.**len**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
+> danfo.Series.str.**len**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
 
-**Parameters**: None
-
-**Returns:**
-
-      return Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Examples**
 
@@ -21,7 +39,7 @@ Returns the length \(number of character\) of a string, and also return the leng
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = ["dog", 5,"cat",["fog","mug"],"animals"]
+let data = ["dog", 5,"cat","fog","mug","animals"]
 let sf = new dfd.Series(data)
 sf.str.len().print()
 ```
@@ -37,19 +55,19 @@ sf.str.len().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ NaN                  ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index e6c1f32..2f1d49b 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -4,11 +4,37 @@ description: Repeat the the character(s) in a string for a specified number of t
 
 # Series.str.repeat
 
-> danfo.Series.str.**repeat**\(num\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
+> danfo.Series.str.**repeat**\(num, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | integer | the string to search for | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">num</td>
+      <td style="text-align:left">integer</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series
 
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index c96137c..0950071 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,12 +4,43 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace\(searchValue, replaceValue\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
+> danfo.Series.str.replace\(searchValue, replaceValue, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| searchValue | string | the string to search for | "" |
-| replaceValue | String | string to replace the searched string | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">searchValue</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">String | Character value to replace. Supports regex.</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">replaceValue</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">string to replace the searched string</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 8824095..4367ae8 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -4,13 +4,39 @@ description: Obtain the index position of a searched  character in a String
 
 # Series.str.search
 
-> danfo.Series.str.**search**\(str\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
-
-
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | String | the string to search for | "" |
+> danfo.Series.str.**search**\(str, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
+
+
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index d314066..e843eb8 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -4,12 +4,43 @@ description: Obtain the substring of each element in a series
 
 # Series.str.slice
 
-> danfo.Series.str.slice\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
+> danfo.Series.str.slice\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">endIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to end the substring</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 65a82c7..4b88313 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,11 +6,12 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**\(splitVal\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L250)\]
+> danfo.Series.str.**split**\(splitVal, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
 | splitVal | String | separator or delimiter used to split the string  | " " |
+| options | Object | **inplace**: Whether to perform operation in-place or not. | { inplace: false } |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index 311bb2f..c141afd 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -4,11 +4,37 @@ description: Test whether a string begins with specified characters
 
 # Series.str.startsWith
 
-> danfo.Series.str.**startsWith**\(str\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
+> danfo.Series.str.**startsWith**\(str, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index 1512f02..8869806 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -6,12 +6,44 @@ description: >-
 
 # Series.str.substr
 
-> danfo.Series.str.substr\(startIndex, num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
+> danfo.Series.str.substr\(startIndex, num, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| num | Number | The number of character to obtain starting from the startIndex | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">num</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">The number of character to obtain starting from the startIndex</td>
+      <td
+      style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 73ab3a8..7515af0 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -4,12 +4,43 @@ description: Obtain the substring of each element in a series
 
 # Series.str.substring
 
-> danfo.Series.str.**substring**\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
+> danfo.Series.str.**substring**\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">endIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to end the substring</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**
 
diff --git a/api-reference/series/series.str.tolowercase.md b/api-reference/series/series.str.tolowercase.md
index ada457b..9dfb12f 100644
--- a/api-reference/series/series.str.tolowercase.md
+++ b/api-reference/series/series.str.tolowercase.md
@@ -4,11 +4,31 @@ description: Converts all characters to lower case.
 
 # Series.str.toLowerCase
 
-> danfo.Series.str.toLowerCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
+> danfo.Series.str.toLowerCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
 
-**Parameters:** None
-
-**Returns**:  Series \(String element\)
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.str.touppercase.md b/api-reference/series/series.str.touppercase.md
index 7e23c08..4f630ae 100644
--- a/api-reference/series/series.str.touppercase.md
+++ b/api-reference/series/series.str.touppercase.md
@@ -4,9 +4,31 @@ description: Converts all characters to uppercase.
 
 # Series.str.toUpperCase
 
-> danfo.Series.str.toUpperCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
+> danfo.Series.str.toUpperCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index 7e30db5..181c004 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -4,9 +4,31 @@ description: Remove leading and trailing Whitespace from a String element
 
 # Series.str.trim
 
-> danfo.Series.str.**trim**\(\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
+> danfo.Series.str.**trim**\(options\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 

From 8178b54e81132a01de8f205031027e084d28d65f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 14:59:04 +0000
Subject: [PATCH 023/202] GitBook: [master] 211 pages modified

---
 README.md                                     |  12 +-
 SUMMARY.md                                    |   3 +-
 api-reference/README.md                       |   2 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 +-
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 +++---
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 194 ++----
 .../input-output/danfo.read_excel.md          |  18 +-
 api-reference/input-output/danfo.read_json.md | 137 ++++-
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 api-reference/series/README.md                |   4 +-
 api-reference/series/series.abs.md            |  26 +-
 .../series/series.drop_duplicates.md          |  39 +-
 api-reference/series/series.dropna.md         |  34 +-
 api-reference/series/series.eq.md             |   2 +-
 api-reference/series/series.ge.md             |   2 +-
 api-reference/series/series.gt.md             |   2 +-
 api-reference/series/series.iloc.md           |  30 +-
 api-reference/series/series.le.md             |   2 +-
 api-reference/series/series.loc.md            | 198 +++++++
 api-reference/series/series.lt.md             |   2 +-
 api-reference/series/series.ne.md             |   2 +-
 api-reference/series/series.nunique.md        |   2 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +-
 getting-started.md                            | 555 ++++++++++--------
 31 files changed, 980 insertions(+), 619 deletions(-)
 create mode 100644 api-reference/series/series.loc.md

diff --git a/README.md b/README.md
index 92e7da5..b170fbb 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
+* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
-* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
+* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/SUMMARY.md b/SUMMARY.md
index 6c1e2b7..0fe654f 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -66,9 +66,7 @@
     * [Series.value\_counts](api-reference/series/series.value_counts.md)
     * [Series.nunique](api-reference/series/series.nunique.md)
     * [Series.unique](api-reference/series/series.unique.md)
-    * [Series.corr](api-reference/series/series.corr.md)
     * [Series.abs](api-reference/series/series.abs.md)
-    * [Series.dot](api-reference/series/series.dot.md)
     * [Series.ne](api-reference/series/series.ne.md)
     * [Series.eq](api-reference/series/series.eq.md)
     * [Series.ge](api-reference/series/series.ge.md)
@@ -76,6 +74,7 @@
     * [Series.gt](api-reference/series/series.gt.md)
     * [Series.lt](api-reference/series/series.lt.md)
     * [Series.iloc](api-reference/series/series.iloc.md)
+    * [Series.loc](api-reference/series/series.loc.md)
     * [Series.size](api-reference/series/series.size.md)
     * [Series.ndim](api-reference/series/series.ndim.md)
     * [Series.shape](api-reference/series/series.shape.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index 70dff34..492db09 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3e20f6a..f74da8c 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,7 +21,9 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
+        <p> <b>values:</b> Series<b>,</b> Array of new values to add
+          <br /> <b>inplace</b>: Default to false.</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -30,13 +32,11 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
-       ****return **Null**
-
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens  so returns nothing,
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,12 +53,11 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -112,12 +111,11 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -126,7 +124,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3e1318e..8445c35 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,7 +37,9 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-       ****return **DataFrame**
+```text
+   ****return **DataFrame**
+```
 
 ## **Examples**
 
@@ -46,7 +48,6 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -59,12 +60,11 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -73,7 +73,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,12 +117,11 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -132,7 +130,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,5 +156,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index b74b5da..692b225 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 1cb3b8f..54fc0ae 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,18 +17,24 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">Series or Dataframe</td>
+      <td style="text-align:left">The data to dummify</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>data</b>: Array | Series | DataFrame</p>
-        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>columns</b>: Array of column names to dummify. If not specified, all
+          categorical columns are encoded.</p>
+        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
-        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -49,7 +55,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
 dum_df.print()
 ```
 {% endtab %}
@@ -65,19 +71,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -96,7 +102,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df })
+let dum_df = dfd.get_dummies(df)
 dum_df.print()
 ```
 {% endtab %}
@@ -159,7 +165,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 752a196..5251d48 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 5e66567..43b2476 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 2e7c0a3..4077198 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Convert Object to datetime format
+description: Converts an array of Date time string to Date object.
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,15 +17,12 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left"><b>data</b>
       </td>
-      <td style="text-align:left">Object</td>
+      <td style="text-align:left">Array, Series</td>
       <td style="text-align:left">
-        <p>{</p>
-        <p><b>data</b>: Array | Series, the object to convert.</p>
-        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
-          and &quot;%m-d-Y H%M%S%&quot;</p>
-        <p>}</p>
+        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -38,14 +35,16 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
 
 ## **Examples**
 
-### **Convert Series to Dummy codes**
+Converts a **Series** of Date strings to Date time and get time properties
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-let dt = dfd.to_datetime({data:sf})
+sf.print()
+
+let dt = dfd.toDateTime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -65,85 +64,99 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
 //Int representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╚═══╧══════════════════════╝
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
 
 //string representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╟───┼──────────────────────╢
-║ 3 │ Apr                  ║
-╟───┼──────────────────────╢
-║ 4 │ May                  ║
-╚═══╧══════════════════════╝
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
 
 //string representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 1 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 2 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 3 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 4 │ Tue                  ║
-╚═══╧══════════════════════╝
-
-//Int representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2                    ║
-╚═══╧══════════════════════╝
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
 //Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 0                    ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f071ac9..f015c6e 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,7 +1,5 @@
 ---
-description: >-
-  Functions and methods to easily read tabular/structured data into DataFrame
-  and Series Objects
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
 ---
 
 # Input/Output
@@ -11,8 +9,11 @@ description: >-
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
+| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
+| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
+| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d1ab8f8..570c7c3 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,11 +20,15 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>:</td>
-      <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
-        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
-        are only accepted in Nodejs environment.</td>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">File object, File path, URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL or a valid
+          local file path.</p>
+        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
+          also supported.</p>
+      </td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -32,15 +36,16 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>A CSV Config object that contains configurations for reading and decoding
-          from CSV file(s). Supported params are:</p>
-        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
-        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
-        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
-          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
+        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
+      </td>
+      <td style="text-align:left">
+        <p><b>{</b>
         </p>
+        <p><b>dynamicTyping: </b>true,</p>
+        <p><b>header: </b>true</p>
+        <p>}</p>
       </td>
-      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -49,16 +54,18 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
 
-The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("user_names.csv") //assumes file is in CWD
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -68,45 +75,9 @@ dfd.read_csv("user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
 {% endtabs %}
 
-**Loading Files from URL**
+### **Reading files from a URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -134,8 +105,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -163,29 +134,11 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-**Reading Large Files**
-
-For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
+### **Reading an input file object in the browser**
 
-**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
 
 {% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_process_data() {
-  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
-  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
-
-  df_chunk1.head().print()
-  df_chunk2.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -194,100 +147,27 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-
-    <div id="plot_div"></div>
+    <input type="file" id="file" name="file">
     <script>
-
-
-        async function run(start, end) {
-            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
-            let df = await dfd.read_csv(data_url, { start, end })
-            console.log(df.shape)
-            df.head().print()
-        }
-
-        run(0, 5)
-        run(5, 10)
-
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
+            })
+        })
+         
     </script>
 </body>
 
 </html>
 
-<!
-Output in console
-
-[5, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[10, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
->
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```bash
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..a8165d2 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,14 +26,11 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
+>           Default will be the first sheet.
+>           <br /><b>method</b>: The HTTP method to use.</p>
+>         <p><b>headers</b>: Additional headers to send with the request if reading
+>           JSON from remote url. Supports all the node-fetch options in Nodejs, and
+>           all fetch options in browsers.</p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -46,14 +43,15 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read\_excel** method can read excel files saved on a local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 49528d0..2e978c3 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,24 +6,85 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-| **Parameters** | Type | Description |
-| :--- | :--- | :--- |
-| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL. Valid
+          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
+          and absolute paths are supported</p>
+        <p></p>
+        <p>An input file object is also supported in the browser.</p>
+      </td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Configuration options for reading JSON files. Supported options:</p>
+        <p>{
+          <br /><code>method</code>: The HTTP method to use.</p>
+        <p><code>headers</code>: Additional headers to send with the request if reading
+          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
+          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
+          browsers.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b>method</b>: &quot;GET&quot;
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
-The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
+### **Reading JSON files from local disk**
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("user_names.json")
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
   .then(df => {
   
    df.head().print()
@@ -36,6 +97,70 @@ dfd.read_json("user_names.json")
 
 {% tab title="Browser" %}
 ```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
 
 ```
 {% endtab %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index e412af9..9fd06ff 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 397b480..b9d73a8 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
 ```markup
 <!DOCTYPE html>
@@ -44,12 +44,11 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-         
+
     </script>
 </body>
 
 </html>
-
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index cc25049..55d25f4 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -49,7 +49,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.ge`](series.ge.md) | Return Greater than or equal to of series and other, element-wise \(binary operator ge\). |
 | [`Series.ne`](series.ne.md) | Return Not equal to of series and other, element-wise \(binary operator ne\). |
 | [`Series.eq`](series.eq.md) | Return Equal to of series and other, element-wise \(binary operator eq\). |
-| [`Series.dot`](series.dot.md) | Compute the dot product between the Series and the columns of other. |
+| [`Series.dot`]() | Compute the dot product between the Series and the columns of other. |
 
 ### Function application & GroupBy
 
@@ -61,7 +61,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 | [`Series.abs`](series.abs.md) | Return a Series with absolute numeric value of each element. |
 | :--- | :--- |
-| [`Series.corr`](series.corr.md) | Compute correlation with other Series, excluding missing values. |
+| [`Series.corr`]() | Compute correlation with other Series, excluding missing values. |
 | [`Series.count`](series.count.md) | Return number of non-NaN observations in the Series. |
 | [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
 | [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index db9a8b4..c241eae 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,9 +4,31 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
+> danfo.Series.**abs**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
 
-**Parameters**: None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Boolean indicating whether to perform the operation in-place
+        or not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index d5fd7e2..eae885c 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -4,18 +4,39 @@ description: Remove duplicate rows
 
 # Series.drop\_duplicates
 
-> danfo.Series.**drop\_duplicates**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-| kwargs\["**keep**"\] | String | {"**first**"or "**last**"}. Specify if to keep the last or the first duplicate value  | first |
+> danfo.Series.**drop\_duplicates**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>keep</b>: &quot;first&quot; | &quot;last&quot;, which duplicate value
+        to keep. Defaults to &quot;first&quot;.
+        <br /><b>inplace</b>: Boolean indicating whether to perform the operation in-place
+        or not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
 **Examples**
 
-Drop duplicate by keeping the first value of the duplicate value
+### Drop duplicate by keeping the first occurrence of the duplicate value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -51,7 +72,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Drop duplicate and keep only the last duplicated value
+### Drop duplicate and keep only the last duplicated value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -87,7 +108,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Remove duplicate value in series without returning a new series
+### Remove duplicate value in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 6fa1100..8e3a4be 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -4,17 +4,37 @@ description: Remove missing values from Series
 
 # Series.dropna
 
-> danfo.Series.**dropna**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+> danfo.Series.**dropna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{
+          <br />inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
 **Examples**
 
-Drop all nan value and then return New Series.
+### Drop all nan value and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -52,7 +72,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Drop nan values without returning new series
+### Drop nan values in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 341dbb9..9e8a9c3 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -8,7 +8,7 @@ description: Check all the values in a series is equal to another value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| other | Series, Array or number |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index b3d8b69..a7c0ead 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean element\)
 
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index a98f618..98eb444 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -8,7 +8,7 @@ description: Check if all the value in a series is greater than a value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index e580803..195677a 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -4,7 +4,7 @@ danfo.Series.**iloc**\(\) \[[source](https://github.com/opensource9ja/danfojs/bl
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| rows | Array | Array, slice or index of row position to return |  |
+| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
 
 **Returns:**
 
@@ -18,9 +18,10 @@ Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
+* A boolean mask. E.g \[ true, false, false \]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only ****the start label is included._
+_**Note:** only ****the start label is included, and the end label is ignored._ 
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -30,7 +31,6 @@ _**Note:** only ****the start label is included._
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-// const tf = require("@tensorflow/tfjs-node")
 
 
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
@@ -62,7 +62,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[0: 5\]". This will return all values from index positions 0 to 4. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -136,5 +136,27 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
+### Slice Series by boolean condition 
 
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
 
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index e9056d7..0dde01a 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean Element\)
 
diff --git a/api-reference/series/series.loc.md b/api-reference/series/series.loc.md
new file mode 100644
index 0000000..3b17e89
--- /dev/null
+++ b/api-reference/series/series.loc.md
@@ -0,0 +1,198 @@
+# Series.loc
+
+danfo.Series.**loc**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
+
+**Returns:**
+
+       ****return **Series**
+
+## **Examples**
+
+`.loc()` is  label position based \(from `0` to `length-1` of the row axis\).
+
+Allowed inputs are:
+
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false \]
+* A string slice object with ints, e.g. `[`'`"a":"d"']`
+
+_**Note:** only ****the start label is included, and the end label is ignored._ 
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
+
+### **Indexing by specific row index**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc(["a", "g"]).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╟───┼─────╢
+║ e │ 30  ║
+╟───┼─────╢
+║ f │ 30  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╟───┼─────╢
+║ h │ 7   ║
+╚═══╧═════╝
+
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end\], e.g **\[\`"a":"e"\`\]**. This will return all values from label positions `a` to `e`. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc([`"a":"e"`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:  
+`s.loc([a:e]).print()`  
+For the slice above to work, you must quote each slice, e.g:  
+`s.loc(["a":"e"]).print()`  
+  
+_**Quotes are not needed for numeric indices!**_
+{% endhint %}
+
+### By specifying a start index in a slice, all values after that index are returned. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+let s = new dfd.Series(data)
+
+s.loc([`1:`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═════╗
+║ 1 │ 34  ║
+╟───┼─────╢
+║ 2 │ 2.2 ║
+╟───┼─────╢
+║ 3 │ 2   ║
+╟───┼─────╢
+║ 4 │ 30  ║
+╟───┼─────╢
+║ 5 │ 30  ║
+╟───┼─────╢
+║ 6 │ 2.1 ║
+╟───┼─────╢
+║ 7 │ 7   ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Slice Series by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.loc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
+
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index bb18486..73c45d1 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -8,7 +8,7 @@ description: Check if all values in a Series are less than a value.
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index 9901dcd..fcf182a 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -8,7 +8,7 @@ description: Check if all values in a  series is not equal to a value(s)
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| other | Series, Array or number |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 8ddafe4..42f678d 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -1,5 +1,5 @@
 ---
-description: Obtain the number of unique values in a series
+description: Returns the number of unique values in a series
 ---
 
 # Series.nunique
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 66dd124..48b3b1c 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,9 +9,7 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-
-
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -19,9 +17,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-### Setting up your environment
+## Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -31,9 +29,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):** 
+**Update \(14th Feb 2021\):**
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
 
 ```javascript
 npm install danfojs-node
@@ -46,7 +44,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-### Loading and processing your data
+## Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -54,11 +52,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-    
+
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-    
-    
+
+
 }
 ```
 
@@ -80,7 +78,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -110,7 +108,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -120,7 +118,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -138,7 +136,6 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -159,7 +156,6 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -183,7 +179,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -193,7 +189,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -250,11 +246,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-### Model Building With Tensorflow.js
+## Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get\_model. This will construct and return a model when called. 
+Create a simple function called get\_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -268,12 +264,11 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
 
 Next, you will create a function called _**train:**_
 
 ```javascript
-
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -285,7 +280,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-    
+
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -298,15 +293,15 @@ async function train() {
             }
         }
     });
-    
+
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
-The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -393,7 +388,6 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
-
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -419,13 +413,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index a88f855..f5f99a2 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,27 +8,43 @@ description: >-
 
 ## Installation
 
-There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
+There are three ways to install and use Danfo.js in your application
+
+For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
 
 ```text
 npm install danfojs-node
+
+or
+
+yarn add danfojs-node
+```
+
+For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+
+```text
+npm install danfojs
+
+or
+
+yarn add danfojs
 ```
 
-You can also install and use it in the browsers by using the CDN below:
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
+We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -45,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -114,7 +130,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
+║ 3 │ undefined            ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -168,17 +184,15 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 1 │ 34 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 2  ║
+╚═══╧════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -386,19 +400,17 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ string               ║
-╟───┼──────────────────────╢
-║ B │ string               ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ float32              ║
-╟───┼──────────────────────╢
-║ E │ string               ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ string  ║
+╟───┼─────────╢
+║ B │ string  ║
+╟───┼─────────╢
+║ C │ int32   ║
+╟───┼─────────╢
+║ D │ float32 ║
+╟───┼─────────╢
+║ E │ string  ║
+╚═══╧═════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -705,19 +717,23 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║        │ A                 │ B                 │ C                 │ D                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
-╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -772,15 +788,17 @@ df.print()
 {% endtabs %}
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ NaN               │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -939,7 +957,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing, both endpoints are _included_:
+Showing label slicing:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -970,17 +988,15 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- Shape: (3,2) 
+ 
 
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1026,15 +1042,13 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1078,13 +1092,11 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1103,17 +1115,62 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ Count             ║
+╟────────────┼───────────────────╢
+║ 0          │ 21                ║
+╟────────────┼───────────────────╢
+║ 1          │ 5                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 30                ║
+╟────────────┼───────────────────╢
+║ 3          │ 10                ║
+╚════════════╧═══════════════════╝
+```
+
+#### Selection with Boolean Mask
+
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+
+```javascript
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+
+let sub_df = df.iloc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+
+```text
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+
+```javascript
+let sub_df = df.iloc({
+    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
+    columns: [0]
+})
+sub_df.print()
+
+//output
+╔════════════╤═══════════════════╗
+║            │ Name              ║
+╟────────────┼───────────────────╢
+║ 0          │ Apples            ║
+╚════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1194,7 +1251,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Selecting values from a DataFrame works on string columns:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1202,34 +1259,36 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+let query_df = df.query({ condition: df["B"].gt(5) })
 query_df.print() //after query
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
 
-//after query
+Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let query_df = df.query({
+    condition:
+        df["B"].gt(5).and(df["A"].lt(30))
+})
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1249,7 +1308,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
+df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1281,7 +1340,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>
@@ -1309,22 +1368,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                │ 45                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                │ 55                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
-danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
+ **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
 
 To drop any rows that have missing data:
 
@@ -1333,13 +1392,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
@@ -1380,27 +1439,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
- Shape: (1,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1408,44 +1467,45 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 1})
+let df_drop = df.dropna(1)
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 34                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
+
 ```
 
 Filling missing data:
@@ -1455,13 +1515,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-            "Name": ["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10],
-            "Price": [200, 300, 40, 250]
-          }
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+  }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 ```
@@ -1485,14 +1545,16 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
@@ -1554,7 +1616,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1608,11 +1670,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ 0 │ 4                    ║
+║ A │ 4                    ║
 ╟───┼──────────────────────╢
-║ 1 │ 38.5                 ║
+║ B │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ 2 │ 31.75                ║
+║ C │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1666,7 +1728,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -1687,7 +1749,7 @@ df_new.print()
 
 #### Apply
 
-Applying JavaScript functions to the data:
+Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1696,11 +1758,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 
@@ -1721,22 +1783,18 @@ df_new.print()
 
 //after applying
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 
-Applying Tensorflow functions to the data:
+Applying Element wise operations to the data:
 
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1745,13 +1803,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.print()
-
-function log_sig(x) {
-    return x.logSigmoid()
+function sum_vals(x) {
+    return x + 10
 }
 
-let df_new = df.apply({axis: 0, callable: log_sig })
+let df_new = df.apply_map(sum_vals)
 df_new.print()
 ```
 
@@ -1770,19 +1826,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after applying
+ //after apply_map
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 12                │ 13                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 14                │ 15                │ 16                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                │ 50                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 49                │ 99                │ 88                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2269,29 +2325,36 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format.
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
 
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
-          "Abs": [20.2, 30, 47.3],
-          "Count": [34, 4, 5],
-          "country code": ["NG", "FR", "GH"]
-        }
+    "Abs": [20.2, 30, 47.3],
+    "Count": [34, 4, 5],
+    "country code": ["NG", "FR", "GH"]
+}
 
 
 let df = new dfd.DataFrame(data)
 
-df.to_csv().then((csv) => {
-  console.log(csv);
+const csv = df.to_csv()
+console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+
+
+df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
+
+
+df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-}).catch((err) => {
 
-  console.log(err);
-})
 ```
 
 ```text
@@ -2372,18 +2435,24 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-df.to_json().then((json) => {
-  console.log(json);
+const json = df.to_json()
+console.log(json);
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
 
-}).catch((err) => {
 
-  console.log(err);
-})
-```
+const json = df.to_json({format: "row"})
+console.log(json);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
 
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From f777dfd0cebd670d867565d7d451d3a72dceec73 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 14:59:55 +0000
Subject: [PATCH 024/202] GitBook: [master] 65 pages modified

---
 README.md                                     |  12 +-
 api-reference/README.md                       |   2 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 +-
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 +++---
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 194 ++++--
 .../input-output/danfo.read_excel.md          |  18 +-
 api-reference/input-output/danfo.read_json.md | 137 +----
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 api-reference/series/README.md                |   4 +-
 api-reference/series/series.abs.md            |  26 +-
 api-reference/series/series.argsort.md        |  50 +-
 api-reference/series/series.cummax.md         |  28 +-
 api-reference/series/series.cummin.md         |  28 +-
 api-reference/series/series.cumprod.md        |  28 +-
 api-reference/series/series.cumsum.md         |  30 +-
 .../series/series.drop_duplicates.md          |  39 +-
 api-reference/series/series.dropna.md         |  34 +-
 api-reference/series/series.dt.day.md         |  44 +-
 api-reference/series/series.dt.hour.md        |  18 +-
 api-reference/series/series.dt.month.md       |  28 +-
 api-reference/series/series.dt.month_name.md  |  19 +-
 api-reference/series/series.dt.monthday.md    |  19 +-
 api-reference/series/series.dt.second.md      |  21 +-
 api-reference/series/series.dt.weekdays.md    |  85 +--
 api-reference/series/series.dt.year.md        |  19 +-
 api-reference/series/series.eq.md             |   2 +-
 api-reference/series/series.fillna.md         |  40 +-
 api-reference/series/series.ge.md             |   2 +-
 api-reference/series/series.gt.md             |   2 +-
 api-reference/series/series.iloc.md           |  30 +-
 api-reference/series/series.le.md             |   2 +-
 api-reference/series/series.loc.md            |   6 +-
 api-reference/series/series.lt.md             |   2 +-
 api-reference/series/series.ne.md             |   2 +-
 api-reference/series/series.nunique.md        |   2 +-
 api-reference/series/series.replace.md        | 110 ++--
 api-reference/series/series.str.capitalize.md |  26 +-
 api-reference/series/series.str.charat.md     |  32 +-
 api-reference/series/series.str.concat.md     |  46 +-
 api-reference/series/series.str.endswith.md   |  34 +-
 api-reference/series/series.str.includes.md   |  34 +-
 api-reference/series/series.str.indexof.md    |  34 +-
 api-reference/series/series.str.join.md       |  61 +-
 .../series/series.str.lastindexof.md          |  34 +-
 api-reference/series/series.str.len.md        |  58 +-
 api-reference/series/series.str.repeat.md     |  34 +-
 api-reference/series/series.str.replace.md    |  41 +-
 api-reference/series/series.str.search.md     |  40 +-
 api-reference/series/series.str.slice.md      |  41 +-
 api-reference/series/series.str.split.md      |   3 +-
 api-reference/series/series.str.startswith.md |  34 +-
 api-reference/series/series.str.substr.md     |  42 +-
 api-reference/series/series.str.substring.md  |  41 +-
 .../series/series.str.tolowercase.md          |  28 +-
 .../series/series.str.touppercase.md          |  26 +-
 api-reference/series/series.str.trim.md       |  26 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +-
 getting-started.md                            | 555 ++++++++----------
 65 files changed, 946 insertions(+), 1740 deletions(-)

diff --git a/README.md b/README.md
index b170fbb..92e7da5 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
+* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
-* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
+* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
+New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/api-reference/README.md b/api-reference/README.md
index 492db09..70dff34 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index f74da8c..3e20f6a 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,9 +21,7 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p> <b>values:</b> Series<b>,</b> Array of new values to add
-          <br /> <b>inplace</b>: Default to false.</p>
-        <p>}</p>
+        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -32,11 +30,13 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
+       ****return **Null**
+
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
+New columns get added at the end of the DataFrame, and this happens  so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,11 +53,12 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -111,11 +112,12 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -124,6 +126,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 8445c35..3e1318e 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,9 +37,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-```text
-   ****return **DataFrame**
-```
+       ****return **DataFrame**
 
 ## **Examples**
 
@@ -48,6 +46,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -60,11 +59,12 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -73,6 +73,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -117,11 +118,12 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -130,6 +132,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -156,5 +159,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index 692b225..b74b5da 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 54fc0ae..1cb3b8f 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,24 +17,18 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">Series or Dataframe</td>
-      <td style="text-align:left">The data to dummify</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>columns</b>: Array of column names to dummify. If not specified, all
-          categorical columns are encoded.</p>
-        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>data</b>: Array | Series | DataFrame</p>
+        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
+        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -55,7 +49,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
 dum_df.print()
 ```
 {% endtab %}
@@ -71,19 +65,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -102,7 +96,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df)
+let dum_df = dfd.get_dummies({ data: df })
 dum_df.print()
 ```
 {% endtab %}
@@ -165,7 +159,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 5251d48..752a196 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 43b2476..5e66567 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 4077198..2e7c0a3 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Converts an array of Date time string to Date object.
+description: Convert Object to datetime format
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,12 +17,15 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>data</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
-      <td style="text-align:left">Array, Series</td>
+      <td style="text-align:left">Object</td>
       <td style="text-align:left">
-        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
+        <p>{</p>
+        <p><b>data</b>: Array | Series, the object to convert.</p>
+        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
+          and &quot;%m-d-Y H%M%S%&quot;</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -35,16 +38,14 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
 
 ## **Examples**
 
-Converts a **Series** of Date strings to Date time and get time properties
+### **Convert Series to Dummy codes**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime({data:sf})
+let dt = dfd.to_datetime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -64,99 +65,85 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
 //Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 3                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╚═══╧══════════════════════╝
 
 //string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Jan                  ║
+╟───┼──────────────────────╢
+║ 1 │ Feb                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mar                  ║
+╟───┼──────────────────────╢
+║ 3 │ Apr                  ║
+╟───┼──────────────────────╢
+║ 4 │ May                  ║
+╚═══╧══════════════════════╝
 
 //string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Mon                  ║
+╟───┼──────────────────────╢
+║ 1 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 2 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 3 │ Sun                  ║
+╟───┼──────────────────────╢
+║ 4 │ Tue                  ║
+╚═══╧══════════════════════╝
+
+//Int representation for day of the week
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 2                    ║
+╚═══╧══════════════════════╝
 //Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
 
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 0                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f015c6e..f071ac9 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,5 +1,7 @@
 ---
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
+description: >-
+  Functions and methods to easily read tabular/structured data into DataFrame
+  and Series Objects
 ---
 
 # Input/Output
@@ -9,11 +11,8 @@ description: Functions for reading tabular/structured data into DataFrame/Series
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
-| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
-| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
-| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
+Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 570c7c3..d1ab8f8 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,15 +20,11 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">File object, File path, URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL or a valid
-          local file path.</p>
-        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
-          also supported.</p>
-      </td>
+      <td style="text-align:left"><em><b>source</b></em>:</td>
+      <td style="text-align:left">str, path or URL</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
+        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
+        are only accepted in Nodejs environment.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -36,16 +32,15 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
-      </td>
-      <td style="text-align:left">
-        <p><b>{</b>
+        <p>A CSV Config object that contains configurations for reading and decoding
+          from CSV file(s). Supported params are:</p>
+        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
+        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
+        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
+          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
         </p>
-        <p><b>dynamicTyping: </b>true,</p>
-        <p><b>header: </b>true</p>
-        <p>}</p>
       </td>
+      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -54,18 +49,16 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
+### Example
 
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
+The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
+dfd.read_csv("user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -75,9 +68,45 @@ dfd.read_csv("./user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                //do something like display descriptive statistics
+                df.describe().print()
+                
+            }).catch(err => {
+                console.log(err);
+            })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
 {% endtabs %}
 
-### **Reading files from a URL**
+**Loading Files from URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -105,8 +134,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -134,11 +163,29 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-### **Reading an input file object in the browser**
+**Reading Large Files**
+
+For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
 
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
+**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
 
 {% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_process_data() {
+  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
+  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
+
+  df_chunk1.head().print()
+  df_chunk2.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -147,27 +194,100 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-    <input type="file" id="file" name="file">
+
+    <div id="plot_div"></div>
     <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
+
+
+        async function run(start, end) {
+            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+            let df = await dfd.read_csv(data_url, { start, end })
+            console.log(df.shape)
+            df.head().print()
+        }
+
+        run(0, 5)
+        run(5, 10)
+
     </script>
 </body>
 
 </html>
 
+<!
+Output in console
+
+[5, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+[10, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+>
+
 ```
 {% endtab %}
 {% endtabs %}
 
+```bash
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+
+
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index a8165d2..d8e3d9e 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,11 +26,14 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.
->           <br /><b>method</b>: The HTTP method to use.</p>
->         <p><b>headers</b>: Additional headers to send with the request if reading
->           JSON from remote url. Supports all the node-fetch options in Nodejs, and
->           all fetch options in browsers.</p>
+>           Default will be the first sheet.</p>
+>         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
+>           The Index of the row which represents the header(columns) of the data.
+>           Default will be the first non empty row.</p>
+>         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
+>           index of the row from which actual data(content) starts. Default will be
+>           the next row of <code>header_index</code>
+>         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -43,15 +46,14 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved on a local disk, or over the internet.
+The **read\_excel** method can read excel files saved from local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
-const path = require("path")
 
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+local_xcel = 'testexcel.xls'
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 2e978c3..49528d0 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,85 +6,24 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL. Valid
-          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
-          and absolute paths are supported</p>
-        <p></p>
-        <p>An input file object is also supported in the browser.</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Configuration options for reading JSON files. Supported options:</p>
-        <p>{
-          <br /><code>method</code>: The HTTP method to use.</p>
-        <p><code>headers</code>: Additional headers to send with the request if reading
-          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
-          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
-          browsers.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b>method</b>: &quot;GET&quot;
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
+| **Parameters** | Type | Description |
+| :--- | :--- | :--- |
+| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+### Example
 
-### **Reading JSON files from local disk**
+The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+dfd.read_json("user_names.json")
   .then(df => {
   
    df.head().print()
@@ -97,70 +36,6 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 
 {% tab title="Browser" %}
 ```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
 
 ```
 {% endtab %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 9fd06ff..e412af9 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index b9d73a8..397b480 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
 
 ```markup
 <!DOCTYPE html>
@@ -44,11 +44,12 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-
+         
     </script>
 </body>
 
 </html>
+
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index 55d25f4..cc25049 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -49,7 +49,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.ge`](series.ge.md) | Return Greater than or equal to of series and other, element-wise \(binary operator ge\). |
 | [`Series.ne`](series.ne.md) | Return Not equal to of series and other, element-wise \(binary operator ne\). |
 | [`Series.eq`](series.eq.md) | Return Equal to of series and other, element-wise \(binary operator eq\). |
-| [`Series.dot`]() | Compute the dot product between the Series and the columns of other. |
+| [`Series.dot`](series.dot.md) | Compute the dot product between the Series and the columns of other. |
 
 ### Function application & GroupBy
 
@@ -61,7 +61,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 | [`Series.abs`](series.abs.md) | Return a Series with absolute numeric value of each element. |
 | :--- | :--- |
-| [`Series.corr`]() | Compute correlation with other Series, excluding missing values. |
+| [`Series.corr`](series.corr.md) | Compute correlation with other Series, excluding missing values. |
 | [`Series.count`](series.count.md) | Return number of non-NaN observations in the Series. |
 | [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
 | [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index c241eae..db9a8b4 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,31 +4,9 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
+> danfo.Series.**abs**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Boolean indicating whether to perform the operation in-place
-        or not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters**: None
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 8926e7f..29c19e3 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -4,30 +4,11 @@ description: Return the integer indices that would sort the Series values
 
 # Series.argsort
 
-> danfo.Series.**argsort**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
+> danfo.Series.**argsort**\(ascending\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>ascending</b>: How to sort the indices</td>
-      <td style="text-align:left">
-        <p>{
-          <br /><b>ascending</b>: true</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| ascending | boolean | How to sort the indices. either **True** or **False** | true |
 
 **Returns:**  Series \(int element\)
 
@@ -41,9 +22,7 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
+sf.argsort().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -70,25 +49,6 @@ sf.argsort({ ascending: false }).print()
 ╟───┼──────────────────────╢
 ║ 7 │ 1                    ║
 ╚═══╧══════════════════════╝
-
-//sorted in descending order
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 6 ║
-╟───┼───╢
-║ 2 │ 4 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╟───┼───╢
-║ 6 │ 0 ║
-╟───┼───╢
-║ 7 │ 3 ║
-╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 78422ea..201ae11 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -4,31 +4,11 @@ description: Returns cumulative maximum over a series
 
 # Series.cummax
 
-> danfo.Series.**cummax**\(options\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)\]
+> danfo.Series.**cummax**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L825)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index d368c0c..f2337a8 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -4,31 +4,11 @@ description: Returns the cumulative min of a Series
 
 # Series.cummin
 
-> danfo.Series.**cummin**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)\]
+> danfo.Series.**cummin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L816)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 41c2898..6b72547 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -4,31 +4,11 @@ description: Return the cumulative product of a series
 
 # Series.cumprod
 
-> danfo.Series.**cumprod**\(\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)\]
+> danfo.Series.**cumprod**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L834)\]
 
-> <table>
->   <thead>
->     <tr>
->       <th style="text-align:left">Parameters</th>
->       <th style="text-align:left">Type</th>
->       <th style="text-align:left">Description</th>
->       <th style="text-align:left">Default</th>
->     </tr>
->   </thead>
->   <tbody>
->     <tr>
->       <td style="text-align:left">options</td>
->       <td style="text-align:left">Object</td>
->       <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
->       <td
->       style="text-align:left">
->         <p>{</p>
->         <p><b>inplace</b>: false</p>
->         <p>}</p>
->         </td>
->     </tr>
->   </tbody>
-> </table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index db8021c..205d777 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -4,31 +4,11 @@ description: Return a cumulative sum of a series
 
 # Series.cumsum
 
-> danfo.Series.**cumsum**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**cumsum**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L807)\]
+
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index eae885c..d5fd7e2 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -4,39 +4,18 @@ description: Remove duplicate rows
 
 # Series.drop\_duplicates
 
-> danfo.Series.**drop\_duplicates**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>keep</b>: &quot;first&quot; | &quot;last&quot;, which duplicate value
-        to keep. Defaults to &quot;first&quot;.
-        <br /><b>inplace</b>: Boolean indicating whether to perform the operation in-place
-        or not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**drop\_duplicates**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+| kwargs\["**keep**"\] | String | {"**first**"or "**last**"}. Specify if to keep the last or the first duplicate value  | first |
 
 **Returns:** Series
 
 **Examples**
 
-### Drop duplicate by keeping the first occurrence of the duplicate value
+Drop duplicate by keeping the first value of the duplicate value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -72,7 +51,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop duplicate and keep only the last duplicated value
+Drop duplicate and keep only the last duplicated value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -108,7 +87,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Remove duplicate value in-place
+Remove duplicate value in series without returning a new series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 8e3a4be..6fa1100 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -4,37 +4,17 @@ description: Remove missing values from Series
 
 # Series.dropna
 
-> danfo.Series.**dropna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{
-          <br />inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**dropna**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
 
 **Returns**: Series
 
 **Examples**
 
-### Drop all nan value and then return New Series.
+Drop all nan value and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -72,7 +52,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop nan values in-place
+Drop nan values without returning new series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 3e4fd5c..09334c1 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -17,7 +17,7 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
 let sf = new dfd.Series(data)
 
 sf.dt.day().print()
@@ -32,26 +32,26 @@ sf.dt.day().print()
 {% endtabs %}
 
 ```text
-╔═══╤═══╗
-║ 0 │ 6 ║
-╟───┼───╢
-║ 1 │ 0 ║
-╟───┼───╢
-║ 2 │ 1 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 4 ║
-╟───┼───╢
-║ 6 │ 5 ║
-╟───┼───╢
-║ 7 │ 6 ║
-╟───┼───╢
-║ 8 │ 0 ║
-╟───┼───╢
-║ 9 │ 1 ║
-╚═══╧═══╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╟───┼──────────────────────╢
+║ 5 │ 4                    ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 8b9287f..1243049 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -22,7 +22,7 @@ let sf = new dfd.Series(data)
 // print series
 sf.print()
 // print hour series
-sf.dt.hours().print()
+sf.dt.hour().print()
 ```
 {% endtab %}
 
@@ -37,17 +37,21 @@ sf.dt.hours().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 2:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╚═══╧═══╝
-
+//print hour series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index a1b449f..0e6dedb 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -32,18 +32,20 @@ sf.dt.month().print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 6  ║
-╟───┼────╢
-║ 1 │ 7  ║
-╟───┼────╢
-║ 2 │ 9  ║
-╟───┼────╢
-║ 3 │ 9  ║
-╟───┼────╢
-║ 4 │ 11 ║
-╟───┼────╢
-║ 5 │ 11 ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 7                    ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 9                    ║
+╟───┼──────────────────────╢
+║ 4 │ 11                   ║
+╟───┼──────────────────────╢
+║ 5 │ 11                   ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index b137205..82a7d3c 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -37,6 +37,8 @@ sf.dt.month_name().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2018, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 2/1/2018, 1:00:00 AM ║
@@ -44,13 +46,16 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═════╗
-║ 0 │ Jan ║
-╟───┼─────╢
-║ 1 │ Feb ║
-╟───┼─────╢
-║ 2 │ Mar ║
-╚═══╧═════╝
+//print month name series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Jan                  ║
+╟───┼──────────────────────╢
+║ 1 │ Feb                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mar                  ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index e52c916..1c7e556 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -37,6 +37,8 @@ sf.dt.monthday().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/2/2000, 1:00:00 AM ║
@@ -44,13 +46,16 @@ sf.dt.monthday().print()
 ║ 2 │ 1/3/2000, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╚═══╧═══╝
+//print monthdays
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index 5925e40..e6fd771 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -25,7 +25,7 @@ let sf = new dfd.Series(data)
 sf.print()
 
 //print the seconds obtained
-sf.dt.seconds().print()
+sf.seconds().print()
 ```
 {% endtab %}
 
@@ -41,6 +41,8 @@ sf.dt.seconds().print()
 ```text
 
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 1:00:01 AM ║
@@ -48,13 +50,16 @@ sf.dt.seconds().print()
 ║ 2 │ 1/1/2000, 1:00:02 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 0 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╚═══╧═══╝
+//the seconds obtained
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╚═══╧══════════════════════╝
 
 ```
 {% endtab %}
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index 64945fa..dc79e6c 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -34,48 +34,49 @@ sf.dt.weekdays().print()
 {% endtabs %}
 
 ```text
-╔═══╤════════════════════════╗
-║ 0 │ 12/31/2016, 1:00:00 AM ║
-╟───┼────────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 9 │ 1/9/2017, 1:00:00 AM   ║
-╚═══╧════════════════════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12/31/2016, 1:00:... ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM ║
+╚═══╧══════════════════════╝
 
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
+//print days of the week
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Sat                  ║
+╟───┼──────────────────────╢
+║ 1 │ Sun                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mon                  ║
+╟───┼──────────────────────╢
+║ 3 │ Tue                  ║
+╟───┼──────────────────────╢
+║ 4 │ Wed                  ║
+╟───┼──────────────────────╢
+║ 5 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 6 │ Fri                  ║
+╟───┼──────────────────────╢
+║ 7 │ Sat                  ║
+╟───┼──────────────────────╢
+║ 8 │ Sun                  ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index c6a4040..a594255 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -28,6 +28,8 @@ sf.dt.year().print()
 ```text
 //print date time series
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2001, 1:00:00 AM ║
@@ -35,12 +37,15 @@ sf.dt.year().print()
 ║ 2 │ 1/1/2002, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤══════╗
-║ 0 │ 2000 ║
-╟───┼──────╢
-║ 1 │ 2001 ║
-╟───┼──────╢
-║ 2 │ 2002 ║
-╚═══╧══════╝
+//print the year series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2000                 ║
+╟───┼──────────────────────╢
+║ 1 │ 2001                 ║
+╟───┼──────────────────────╢
+║ 2 │ 2002                 ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 9e8a9c3..341dbb9 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -8,7 +8,7 @@ description: Check all the values in a series is equal to another value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number |  value to compare |  |
+| other | Series**\|** int\|String\|float |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index f14e5d3..b1bea1b 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -4,38 +4,18 @@ description: Replace all NaN value with specified value
 
 # Series.fillna
 
-> danfo.Series.**fillna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p><b>value</b>: The value to replace all missing value with.</p>
-        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
-          or not. Defaults to false</p>
-      </td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**fillna**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**value**"\] | int \| String\| bool | value to replace the NaN values |  |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+
+**Returns:**  Series
 
 **Examples**
 
-### Fill nan value and then return new series
+Fill nan value and then return new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -82,7 +62,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Fill nan value in-place
+Fill nan value without returning new Series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index a7c0ead..b3d8b69 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean element\)
 
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index 98eb444..a98f618 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -8,7 +8,7 @@ description: Check if all the value in a series is greater than a value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index 195677a..e580803 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -4,7 +4,7 @@ danfo.Series.**iloc**\(\) \[[source](https://github.com/opensource9ja/danfojs/bl
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
+| rows | Array | Array, slice or index of row position to return |  |
 
 **Returns:**
 
@@ -18,10 +18,9 @@ Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
-* A boolean mask. E.g \[ true, false, false \]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only ****the start label is included, and the end label is ignored._ 
+_**Note:** only ****the start label is included._
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -31,6 +30,7 @@ _**Note:** only ****the start label is included, and the end label is ignored._
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+// const tf = require("@tensorflow/tfjs-node")
 
 
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
@@ -62,7 +62,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[0: 5\]". This will return all values from index positions 0 to 4. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -136,27 +136,5 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition 
 
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
 
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index 0dde01a..e9056d7 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean Element\)
 
diff --git a/api-reference/series/series.loc.md b/api-reference/series/series.loc.md
index 3b17e89..f4f292e 100644
--- a/api-reference/series/series.loc.md
+++ b/api-reference/series/series.loc.md
@@ -1,3 +1,7 @@
+---
+description: Access a group of rows by label(s) or a boolean array.
+---
+
 # Series.loc
 
 danfo.Series.**loc**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
@@ -19,7 +23,7 @@ Allowed inputs are:
 * An integer, e.g. `"r1"`.
 * A list or array of integers, e.g. `["a", "b", "d"]`.
 * A boolean mask. E.g \[ true, false, false \]
-* A string slice object with ints, e.g. `[`'`"a":"d"']`
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
 _**Note:** only ****the start label is included, and the end label is ignored._ 
 
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index 73c45d1..bb18486 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -8,7 +8,7 @@ description: Check if all values in a Series are less than a value.
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index fcf182a..9901dcd 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -8,7 +8,7 @@ description: Check if all values in a  series is not equal to a value(s)
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number |  value to compare |  |
+| other | Series**\|** int\|String\|float |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 42f678d..8ddafe4 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -1,5 +1,5 @@
 ---
-description: Returns the number of unique values in a series
+description: Obtain the number of unique values in a series
 ---
 
 # Series.nunique
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index cf1dd06..4b49fa2 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,41 +4,19 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p> <b>oldValue</b>: The value you want to replace</p>
-        <p><b>newValue</b>: The new value you want to replace the old value with</p>
-        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
-          or not</p>
-      </td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**replace**\(kwargs\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**replace**"\] | int \| String\| bool | value to be replaced |  |
+| kwargs\["**with**"\] | int \| String \| bool | value to replace the previous value |  |
+| kwargs\["**inplace**"\] | Bool | mutate the series or create the new series | false |
 
 **Returns**: Series
 
 **Examples**
 
-### Replace a value in a series and return a new series
+Replace a value in a series and return a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -47,7 +25,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
+let sf_rep = sf.replace({ replace: 10, with: -50 })
 
 sf_rep.print()
 ```
@@ -57,27 +35,28 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -50                  ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ -50                  ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Replace a value in-place
+Replace a value in a series , with out returning a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -86,7 +65,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
+sf.replace({ replace: 10, with: -50, inplace:true })
 
 sf.print()
 ```
@@ -94,21 +73,22 @@ sf.print()
 {% endtabs %}
 
 ```text
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -50                  ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ -50                  ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.str.capitalize.md b/api-reference/series/series.str.capitalize.md
index 10483b3..5df261a 100644
--- a/api-reference/series/series.str.capitalize.md
+++ b/api-reference/series/series.str.capitalize.md
@@ -4,31 +4,9 @@ description: Capitalize the first character of each string
 
 # Series.str.capitalize
 
-> danfo.Series.str.**capitalize**\(options\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
+> danfo.Series.str.**capitalize**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.charat.md b/api-reference/series/series.str.charat.md
index 9cb1d66..3df2bbc 100644
--- a/api-reference/series/series.str.charat.md
+++ b/api-reference/series/series.str.charat.md
@@ -6,35 +6,9 @@ description: Obtain the character at the specified index (position)
 
 > danfo.Series.str.**charAt**\(index\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">index</td>
-      <td style="text-align:left">int</td>
-      <td style="text-align:left">the index at which to obtain the character</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| index | int | the index at which to obtain the character | 0 |
 
 **Returns**:  Series \(Character element\)
 
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index b27bc00..0a24597 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -4,46 +4,12 @@ description: Joins two or more strings/arrays
 
 # Series.str.concat
 
-> danfo.Series.str.**concat**\(other, position, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">string or Array</td>
-      <td style="text-align:left">string or list of strings to add to each string element of the series</td>
-      <td
-      style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">position</td>
-      <td style="text-align:left">Int</td>
-      <td style="text-align:left">The position to add the <b>other </b>(string or array) is either 0 or 1.
-        0 is to add the other at the beginning of each of the string element, and
-        1 is to add to the end of the string element</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.str.**concat**\(other, position\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | string or Array | string or list of strings to add to each string element of the series | "" |
+| position | Int | The position to add the **other** \(string or array\) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1  |
 
 **Returns:** Series \(String element\)
 
diff --git a/api-reference/series/series.str.endswith.md b/api-reference/series/series.str.endswith.md
index 18753cb..645294d 100644
--- a/api-reference/series/series.str.endswith.md
+++ b/api-reference/series/series.str.endswith.md
@@ -4,37 +4,11 @@ description: Checks whether a string ends with specified characters
 
 # Series.str.endsWith
 
-> danfo.Series.str.**endsWith**\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
+> danfo.Series.str.**endsWith**\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.includes.md b/api-reference/series/series.str.includes.md
index cfa9c16..c2cb4af 100644
--- a/api-reference/series/series.str.includes.md
+++ b/api-reference/series/series.str.includes.md
@@ -4,37 +4,11 @@ description: Checks whether a string contains the specified string/characters
 
 # Series.str.includes
 
-> danfo.Series.str.includes\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
+> danfo.Series.str.includes\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index fe93a74..a823d20 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -4,37 +4,11 @@ description: the position of the first found occurrence of a specified value in
 
 # Series.str.indexOf
 
-> danfo.Series.str.indexOf\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
+> danfo.Series.str.indexOf\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the string to obtain its index</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the string to obtain its index | "" |
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index a32c1bb..4c17295 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -4,43 +4,12 @@ description: Join a new string value to all string elements in a Series.
 
 # Series.str.join
 
-> danfo.Series.str.**join**\(valToJoin, joinChar, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
+> danfo.Series.str.**join**\(valToJoin,joinChar\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">valToJoin</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">the string value you want to</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">joinChar</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">The delimiter to specify the joining</td>
-      <td style="text-align:left">&quot; &quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| valToJoin | String | the string value you want to  |  "" |
+| joinChar | String | The delimiter to specify the joining | " " |
 
 **Returns:**
 
@@ -69,15 +38,17 @@ sf.str.join("new", "_").print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════════════════════════╗
-║ 0 │ lower part_new         ║
-╟───┼────────────────────────╢
-║ 1 │ CAPITALS city_new      ║
-╟───┼────────────────────────╢
-║ 2 │ this is a sentence_new ║
-╟───┼────────────────────────╢
-║ 3 │ SwAp CaSe_new          ║
-╚═══╧════════════════════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower part_new       ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS city_new    ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentenc... ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp CaSe_new        ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.lastindexof.md b/api-reference/series/series.str.lastindexof.md
index d2bfa98..130c50c 100644
--- a/api-reference/series/series.str.lastindexof.md
+++ b/api-reference/series/series.str.lastindexof.md
@@ -6,37 +6,11 @@ description: >-
 
 # Series.str.lastIndexOf
 
-danfo.Series.str.lastIndexOf\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
+danfo.Series.str.lastIndexOf\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the string to search for | "" |
 
 **Returns**: Series
 
diff --git a/api-reference/series/series.str.len.md b/api-reference/series/series.str.len.md
index be82b70..60153e8 100644
--- a/api-reference/series/series.str.len.md
+++ b/api-reference/series/series.str.len.md
@@ -4,31 +4,13 @@ description: Obtain the length of each string element in a Series
 
 # Series.str.len
 
-> danfo.Series.str.**len**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
+> danfo.Series.str.**len**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters**: None
+
+**Returns:**
+
+      return Series
 
 **Examples**
 
@@ -39,7 +21,7 @@ Returns the length \(number of character\) of a string, and also return the leng
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = ["dog", 5,"cat","fog","mug","animals"]
+let data = ["dog", 5,"cat",["fog","mug"],"animals"]
 let sf = new dfd.Series(data)
 sf.str.len().print()
 ```
@@ -55,19 +37,19 @@ sf.str.len().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╚═══╧═══╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ NaN                  ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 7                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index 2f1d49b..e6c1f32 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -4,37 +4,11 @@ description: Repeat the the character(s) in a string for a specified number of t
 
 # Series.str.repeat
 
-> danfo.Series.str.**repeat**\(num, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
+> danfo.Series.str.**repeat**\(num\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">num</td>
-      <td style="text-align:left">integer</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| num | integer | the string to search for | 1 |
 
 **Returns:**  Series
 
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index 0950071..c96137c 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,43 +4,12 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace\(searchValue, replaceValue, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
+> danfo.Series.str.replace\(searchValue, replaceValue\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">searchValue</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">String | Character value to replace. Supports regex.</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">replaceValue</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">string to replace the searched string</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| searchValue | string | the string to search for | "" |
+| replaceValue | String | string to replace the searched string | "" |
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 4367ae8..8824095 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -4,39 +4,13 @@ description: Obtain the index position of a searched  character in a String
 
 # Series.str.search
 
-> danfo.Series.str.**search**\(str, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
-
-
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.str.**search**\(str\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
+
+
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | String | the string to search for | "" |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index e843eb8..d314066 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -4,43 +4,12 @@ description: Obtain the substring of each element in a series
 
 # Series.str.slice
 
-> danfo.Series.str.slice\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
+> danfo.Series.str.slice\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">endIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to end the substring</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| endIndex | Number | specify the index to end the substring | 1 |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 4b88313..65a82c7 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,12 +6,11 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**\(splitVal, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)\]
+> danfo.Series.str.**split**\(splitVal\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L250)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
 | splitVal | String | separator or delimiter used to split the string  | " " |
-| options | Object | **inplace**: Whether to perform operation in-place or not. | { inplace: false } |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index c141afd..311bb2f 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -4,37 +4,11 @@ description: Test whether a string begins with specified characters
 
 # Series.str.startsWith
 
-> danfo.Series.str.**startsWith**\(str, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
+> danfo.Series.str.**startsWith**\(str\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns:**  Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index 8869806..1512f02 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -6,44 +6,12 @@ description: >-
 
 # Series.str.substr
 
-> danfo.Series.str.substr\(startIndex, num, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
+> danfo.Series.str.substr\(startIndex, num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">num</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">The number of character to obtain starting from the startIndex</td>
-      <td
-      style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| num | Number | The number of character to obtain starting from the startIndex | 1 |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 7515af0..73ab3a8 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -4,43 +4,12 @@ description: Obtain the substring of each element in a series
 
 # Series.str.substring
 
-> danfo.Series.str.**substring**\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
+> danfo.Series.str.**substring**\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">endIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to end the substring</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| endIndex | Number | specify the index to end the substring | 1 |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.tolowercase.md b/api-reference/series/series.str.tolowercase.md
index 9dfb12f..ada457b 100644
--- a/api-reference/series/series.str.tolowercase.md
+++ b/api-reference/series/series.str.tolowercase.md
@@ -4,31 +4,11 @@ description: Converts all characters to lower case.
 
 # Series.str.toLowerCase
 
-> danfo.Series.str.toLowerCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
+> danfo.Series.str.toLowerCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Returns**:  Series \(String element\)
 
 **Example**
 
diff --git a/api-reference/series/series.str.touppercase.md b/api-reference/series/series.str.touppercase.md
index 4f630ae..7e23c08 100644
--- a/api-reference/series/series.str.touppercase.md
+++ b/api-reference/series/series.str.touppercase.md
@@ -4,31 +4,9 @@ description: Converts all characters to uppercase.
 
 # Series.str.toUpperCase
 
-> danfo.Series.str.toUpperCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
+> danfo.Series.str.toUpperCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index 181c004..7e30db5 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -4,31 +4,9 @@ description: Remove leading and trailing Whitespace from a String element
 
 # Series.str.trim
 
-> danfo.Series.str.**trim**\(options\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
+> danfo.Series.str.**trim**\(\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns:**
 
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 48b3b1c..66dd124 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,7 +9,9 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
+
+
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -17,9 +19,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-## Setting up your environment
+### Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -29,9 +31,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):**
+**Update \(14th Feb 2021\):** 
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
 
 ```javascript
 npm install danfojs-node
@@ -44,7 +46,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-## Loading and processing your data
+### Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -52,11 +54,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-
+    
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-
-
+    
+    
 }
 ```
 
@@ -78,7 +80,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -108,7 +110,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -118,7 +120,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -136,6 +138,7 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -156,6 +159,7 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -179,7 +183,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -189,7 +193,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -246,11 +250,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-## Model Building With Tensorflow.js
+### Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
 
-Create a simple function called get\_model. This will construct and return a model when called.
+Create a simple function called get\_model. This will construct and return a model when called. 
 
 ```javascript
 function get_model() {
@@ -264,11 +268,12 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
 
 Next, you will create a function called _**train:**_
 
 ```javascript
+
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -280,7 +285,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-
+    
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -293,15 +298,15 @@ async function train() {
             }
         }
     });
-
+    
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
 
-The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -388,6 +393,7 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
+
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -413,13 +419,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index f5f99a2..a88f855 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,43 +8,27 @@ description: >-
 
 ## Installation
 
-There are three ways to install and use Danfo.js in your application
-
-For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
+There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
 
 ```text
 npm install danfojs-node
-
-or
-
-yarn add danfojs-node
-```
-
-For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
-
-```text
-npm install danfojs
-
-or
-
-yarn add danfojs
 ```
 
-For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
+You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
+We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -130,7 +114,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ undefined            ║
+║ 3 │ NaN                  ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -184,15 +168,17 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 12 ║
-╟───┼────╢
-║ 1 │ 34 ║
-╟───┼────╢
-║ 2 │ 56 ║
-╟───┼────╢
-║ 3 │ 2  ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -400,17 +386,19 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤═════════╗
-║ A │ string  ║
-╟───┼─────────╢
-║ B │ string  ║
-╟───┼─────────╢
-║ C │ int32   ║
-╟───┼─────────╢
-║ D │ float32 ║
-╟───┼─────────╢
-║ E │ string  ║
-╚═══╧═════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ string               ║
+╟───┼──────────────────────╢
+║ B │ string               ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ float32              ║
+╟───┼──────────────────────╢
+║ E │ string               ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -717,23 +705,19 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║        │ A                 │ B                 │ C                 │ D                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
+╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -788,17 +772,15 @@ df.print()
 {% endtabs %}
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ NaN               │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ -4                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 47.3              │ 5                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -20               │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -957,7 +939,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing:
+Showing label slicing, both endpoints are _included_:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -988,15 +970,17 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- 
+ Shape: (3,2) 
 
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1042,13 +1026,15 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1092,11 +1078,13 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1115,62 +1103,17 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╗
-║            │ Count             ║
-╟────────────┼───────────────────╢
-║ 0          │ 21                ║
-╟────────────┼───────────────────╢
-║ 1          │ 5                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 30                ║
-╟────────────┼───────────────────╢
-║ 3          │ 10                ║
-╚════════════╧═══════════════════╝
-```
-
-#### Selection with Boolean Mask
-
-You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
-
-```javascript
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-
-let sub_df = df.iloc({ rows: df["Count"].gt(10) })
-sub_df.print()
-```
-
-```text
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
-
-```javascript
-let sub_df = df.iloc({
-    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
-    columns: [0]
-})
-sub_df.print()
-
-//output
-╔════════════╤═══════════════════╗
-║            │ Name              ║
-╟────────────┼───────────────────╢
-║ 0          │ Apples            ║
-╚════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1251,7 +1194,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
+Selecting values from a DataFrame works on string columns:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1259,36 +1202,34 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-let query_df = df.query({ condition: df["B"].gt(5) })
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
 query_df.print() //after query
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let query_df = df.query({
-    condition:
-        df["B"].gt(5).and(df["A"].lt(30))
-})
-query_df.print() //after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+//after query
 
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1308,7 +1249,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
+df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1340,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-
+        
         df.print()
 
     </script>
@@ -1368,22 +1309,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                │ 45                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                │ 55                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
- **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
+danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
 
 To drop any rows that have missing data:
 
@@ -1392,13 +1333,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropna({axis: 0})
 df_drop.print()
 ```
 {% endtab %}
@@ -1439,27 +1380,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ NaN               │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+ Shape: (1,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1467,45 +1408,44 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(1)
+let df_drop = df.dropna({axis: 1})
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ NaN               │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 34                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔════════════╤═══════════════════╗
-║            │ C                 ║
-╟────────────┼───────────────────╢
-║ 0          │ 3                 ║
-╟────────────┼───────────────────╢
-║ 1          │ 6                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 40                ║
-╟────────────┼───────────────────╢
-║ 3          │ 78                ║
-╚════════════╧═══════════════════╝
-
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
 ```
 
 Filling missing data:
@@ -1515,13 +1455,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-  }
+            "Name": ["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10],
+            "Price": [200, 300, 40, 250]
+          }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillna({ values: ["Apples"] })
 
 df_filled.print()
 ```
@@ -1545,16 +1485,14 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
+let data = {"Name":["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10], 
+            "Price": [200, 300, 40, 250]}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
+let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
 df_filled.print()
 ```
 
@@ -1616,7 +1554,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data, { columns: cols })
+let df = new dfd.DataFrame(data)
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1670,11 +1608,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ A │ 4                    ║
+║ 0 │ 4                    ║
 ╟───┼──────────────────────╢
-║ B │ 38.5                 ║
+║ 1 │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ C │ 31.75                ║
+║ 2 │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1728,7 +1666,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, { axis: 1 })
+let df_new = df.sub(sf, axis = 1)
 
 df_new.print()
 ```
@@ -1749,7 +1687,7 @@ df_new.print()
 
 #### Apply
 
-Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
+Applying JavaScript functions to the data:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1758,11 +1696,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
+function sum_vals(x) {
+    return x + 20
 }
 
-let df_new = df.apply(sum_vals, { axis: 1 })
+let df_new = df.apply({callable: sum_vals })
 df_new.print()
 ```
 
@@ -1783,18 +1721,22 @@ df_new.print()
 
 //after applying
 
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 22                │ 23                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 24                │ 25                │ 26                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 40                │ 50                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 59                │ 109               │ 98                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Applying Element wise operations to the data:
+Applying Tensorflow functions to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
+You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1803,11 +1745,13 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 10
+df.print()
+
+function log_sig(x) {
+    return x.logSigmoid()
 }
 
-let df_new = df.apply_map(sum_vals)
+let df_new = df.apply({axis: 0, callable: log_sig })
 df_new.print()
 ```
 
@@ -1826,19 +1770,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after apply_map
+ //after applying
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 11                │ 12                │ 13                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 14                │ 15                │ 16                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 30                │ 40                │ 50                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 49                │ 99                │ 88                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2325,36 +2269,29 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
+Convert any DataFrame to csv format.
 
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = {
-    "Abs": [20.2, 30, 47.3],
-    "Count": [34, 4, 5],
-    "country code": ["NG", "FR", "GH"]
-}
+          "Abs": [20.2, 30, 47.3],
+          "Count": [34, 4, 5],
+          "country code": ["NG", "FR", "GH"]
+        }
 
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.to_csv()
-console.log(csv);
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-
-
-df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
-
-
-df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
+df.to_csv().then((csv) => {
+  console.log(csv);
 
+}).catch((err) => {
 
+  console.log(err);
+})
 ```
 
 ```text
@@ -2435,24 +2372,18 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.to_json()
-console.log(json);
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
+df.to_json().then((json) => {
+  console.log(json);
 
+}).catch((err) => {
 
-const json = df.to_json({format: "row"})
-console.log(json);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
+  console.log(err);
+})
+```
 
+```text
+[{"Abs":20.2,"Count":34,"country code":"NG"},
+{"Abs":30,"Count":4,"country code":"FR"},
+{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From 7dfb5b7de7e402cc0df084e0cfc6f446875feaee Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 15:29:24 +0000
Subject: [PATCH 025/202] GitBook: [master] 210 pages modified

---
 README.md                                     |  12 +-
 SUMMARY.md                                    |   1 -
 api-reference/README.md                       |   2 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 +-
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 +++---
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 194 ++----
 .../input-output/danfo.read_excel.md          |  18 +-
 api-reference/input-output/danfo.read_json.md | 137 ++++-
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 api-reference/series/README.md                |   6 +-
 api-reference/series/series.abs.md            |  26 +-
 api-reference/series/series.add.md            |  36 +-
 api-reference/series/series.apply.md          |  38 +-
 api-reference/series/series.argsort.md        |  50 +-
 api-reference/series/series.copy.md           |   2 +-
 api-reference/series/series.cummax.md         |  28 +-
 api-reference/series/series.cummin.md         |  28 +-
 api-reference/series/series.cumprod.md        |  28 +-
 api-reference/series/series.cumsum.md         |  30 +-
 api-reference/series/series.div.md            |  37 +-
 .../series/series.drop_duplicates.md          |  39 +-
 api-reference/series/series.dropna.md         |  34 +-
 api-reference/series/series.dt.day.md         |  44 +-
 api-reference/series/series.dt.hour.md        |  18 +-
 api-reference/series/series.dt.month.md       |  28 +-
 api-reference/series/series.dt.month_name.md  |  19 +-
 api-reference/series/series.dt.monthday.md    |  19 +-
 api-reference/series/series.dt.second.md      |  21 +-
 api-reference/series/series.dt.weekdays.md    |  85 ++-
 api-reference/series/series.dt.year.md        |  19 +-
 api-reference/series/series.eq.md             |   2 +-
 api-reference/series/series.fillna.md         |  40 +-
 api-reference/series/series.ge.md             |   2 +-
 api-reference/series/series.gt.md             |   2 +-
 api-reference/series/series.iloc.md           |  30 +-
 api-reference/series/series.le.md             |   2 +-
 api-reference/series/series.lt.md             |   2 +-
 api-reference/series/series.map.md            |  38 +-
 api-reference/series/series.mod.md            |  34 +-
 api-reference/series/series.mul.md            |  36 +-
 api-reference/series/series.ne.md             |   2 +-
 api-reference/series/series.nunique.md        |   2 +-
 api-reference/series/series.pow.md            |  34 +-
 api-reference/series/series.replace.md        | 110 ++--
 api-reference/series/series.reset_index.md    | 137 ++---
 api-reference/series/series.round.md          |  34 +-
 api-reference/series/series.sample.md         |  74 ++-
 api-reference/series/series.set_index.md      |  99 ++--
 api-reference/series/series.sort_values.md    | 169 +++---
 api-reference/series/series.str.capitalize.md |  26 +-
 api-reference/series/series.str.charat.md     |  32 +-
 api-reference/series/series.str.concat.md     |  46 +-
 api-reference/series/series.str.endswith.md   |  34 +-
 api-reference/series/series.str.includes.md   |  34 +-
 api-reference/series/series.str.indexof.md    |  34 +-
 api-reference/series/series.str.join.md       |  61 +-
 .../series/series.str.lastindexof.md          |  34 +-
 api-reference/series/series.str.len.md        |  58 +-
 api-reference/series/series.str.repeat.md     |  34 +-
 api-reference/series/series.str.replace.md    |  41 +-
 api-reference/series/series.str.search.md     |  40 +-
 api-reference/series/series.str.slice.md      |  41 +-
 api-reference/series/series.str.split.md      |   3 +-
 api-reference/series/series.str.startswith.md |  34 +-
 api-reference/series/series.str.substr.md     |  42 +-
 api-reference/series/series.str.substring.md  |  41 +-
 .../series/series.str.tolowercase.md          |  28 +-
 .../series/series.str.touppercase.md          |  26 +-
 api-reference/series/series.str.trim.md       |  26 +-
 api-reference/series/series.sub.md            |  36 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 +-
 getting-started.md                            | 555 ++++++++++--------
 79 files changed, 2289 insertions(+), 1198 deletions(-)

diff --git a/README.md b/README.md
index 92e7da5..b170fbb 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
+* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
-* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
+* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/SUMMARY.md b/SUMMARY.md
index 0fe654f..d7821c4 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -75,7 +75,6 @@
     * [Series.lt](api-reference/series/series.lt.md)
     * [Series.iloc](api-reference/series/series.iloc.md)
     * [Series.loc](api-reference/series/series.loc.md)
-    * [Series.size](api-reference/series/series.size.md)
     * [Series.ndim](api-reference/series/series.ndim.md)
     * [Series.shape](api-reference/series/series.shape.md)
     * [Series.dtype](api-reference/series/series.dtype.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index 70dff34..492db09 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3e20f6a..f74da8c 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,7 +21,9 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
+        <p> <b>values:</b> Series<b>,</b> Array of new values to add
+          <br /> <b>inplace</b>: Default to false.</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -30,13 +32,11 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
-       ****return **Null**
-
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens  so returns nothing,
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,12 +53,11 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -112,12 +111,11 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -126,7 +124,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3e1318e..8445c35 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,7 +37,9 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-       ****return **DataFrame**
+```text
+   ****return **DataFrame**
+```
 
 ## **Examples**
 
@@ -46,7 +48,6 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -59,12 +60,11 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -73,7 +73,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,12 +117,11 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```
+```text
 
 ```
 {% endtab %}
@@ -132,7 +130,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,5 +156,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index b74b5da..692b225 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 1cb3b8f..54fc0ae 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,18 +17,24 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">Series or Dataframe</td>
+      <td style="text-align:left">The data to dummify</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>options</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>data</b>: Array | Series | DataFrame</p>
-        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>columns</b>: Array of column names to dummify. If not specified, all
+          categorical columns are encoded.</p>
+        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
-        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -49,7 +55,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
 dum_df.print()
 ```
 {% endtab %}
@@ -65,19 +71,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -96,7 +102,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df })
+let dum_df = dfd.get_dummies(df)
 dum_df.print()
 ```
 {% endtab %}
@@ -159,7 +165,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 752a196..5251d48 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 5e66567..43b2476 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 2e7c0a3..4077198 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Convert Object to datetime format
+description: Converts an array of Date time string to Date object.
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,15 +17,12 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>kwargs</b>
+      <td style="text-align:left"><b>data</b>
       </td>
-      <td style="text-align:left">Object</td>
+      <td style="text-align:left">Array, Series</td>
       <td style="text-align:left">
-        <p>{</p>
-        <p><b>data</b>: Array | Series, the object to convert.</p>
-        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
-          and &quot;%m-d-Y H%M%S%&quot;</p>
-        <p>}</p>
+        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -38,14 +35,16 @@ danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
 
 ## **Examples**
 
-### **Convert Series to Dummy codes**
+Converts a **Series** of Date strings to Date time and get time properties
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-let dt = dfd.to_datetime({data:sf})
+sf.print()
+
+let dt = dfd.toDateTime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -65,85 +64,99 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
 //Int representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╚═══╧══════════════════════╝
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
 
 //string representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╟───┼──────────────────────╢
-║ 3 │ Apr                  ║
-╟───┼──────────────────────╢
-║ 4 │ May                  ║
-╚═══╧══════════════════════╝
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
 
 //string representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 1 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 2 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 3 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 4 │ Tue                  ║
-╚═══╧══════════════════════╝
-
-//Int representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2                    ║
-╚═══╧══════════════════════╝
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
 //Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 0                    ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f071ac9..f015c6e 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,7 +1,5 @@
 ---
-description: >-
-  Functions and methods to easily read tabular/structured data into DataFrame
-  and Series Objects
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
 ---
 
 # Input/Output
@@ -11,8 +9,11 @@ description: >-
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
+| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
+| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
+| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d1ab8f8..570c7c3 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,11 +20,15 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>:</td>
-      <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
-        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
-        are only accepted in Nodejs environment.</td>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">File object, File path, URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL or a valid
+          local file path.</p>
+        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
+          also supported.</p>
+      </td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -32,15 +36,16 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>A CSV Config object that contains configurations for reading and decoding
-          from CSV file(s). Supported params are:</p>
-        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
-        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
-        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
-          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
+        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
+        <p>&lt;b&gt;&lt;/b&gt;</p>
+      </td>
+      <td style="text-align:left">
+        <p><b>{</b>
         </p>
+        <p><b>dynamicTyping: </b>true,</p>
+        <p><b>header: </b>true</p>
+        <p>}</p>
       </td>
-      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -49,16 +54,18 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
 
-The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("user_names.csv") //assumes file is in CWD
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -68,45 +75,9 @@ dfd.read_csv("user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
 {% endtabs %}
 
-**Loading Files from URL**
+### **Reading files from a URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -134,8 +105,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -163,29 +134,11 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-**Reading Large Files**
-
-For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
+### **Reading an input file object in the browser**
 
-**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
 
 {% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_process_data() {
-  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
-  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
-
-  df_chunk1.head().print()
-  df_chunk2.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -194,100 +147,27 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-
-    <div id="plot_div"></div>
+    <input type="file" id="file" name="file">
     <script>
-
-
-        async function run(start, end) {
-            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
-            let df = await dfd.read_csv(data_url, { start, end })
-            console.log(df.shape)
-            df.head().print()
-        }
-
-        run(0, 5)
-        run(5, 10)
-
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
+            })
+        })
+         
     </script>
 </body>
 
 </html>
 
-<!
-Output in console
-
-[5, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[10, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
->
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```bash
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..a8165d2 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,14 +26,11 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
+>           Default will be the first sheet.
+>           <br /><b>method</b>: The HTTP method to use.</p>
+>         <p><b>headers</b>: Additional headers to send with the request if reading
+>           JSON from remote url. Supports all the node-fetch options in Nodejs, and
+>           all fetch options in browsers.</p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -46,14 +43,15 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read\_excel** method can read excel files saved on a local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 49528d0..2e978c3 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,24 +6,85 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-| **Parameters** | Type | Description |
-| :--- | :--- | :--- |
-| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
+      <td style="text-align:left">
+        <p>Any valid string path is acceptable. The string could be a URL. Valid
+          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
+          and absolute paths are supported</p>
+        <p></p>
+        <p>An input file object is also supported in the browser.</p>
+      </td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Configuration options for reading JSON files. Supported options:</p>
+        <p>{
+          <br /><code>method</code>: The HTTP method to use.</p>
+        <p><code>headers</code>: Additional headers to send with the request if reading
+          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
+          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
+          browsers.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left">{
+        <br /><b>method</b>: &quot;GET&quot;
+        <br />}</td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
-The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
+### **Reading JSON files from local disk**
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("user_names.json")
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
   .then(df => {
   
    df.head().print()
@@ -36,6 +97,70 @@ dfd.read_json("user_names.json")
 
 {% tab title="Browser" %}
 ```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
 
 ```
 {% endtab %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index e412af9..9fd06ff 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 397b480..b9d73a8 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
 ```markup
 <!DOCTYPE html>
@@ -44,12 +44,11 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-         
+
     </script>
 </body>
 
 </html>
-
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index cc25049..8886e37 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -18,7 +18,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.dtype`](series.dtype.md) | Return the dtype object of the underlying data. |
 | [`Series.shape`](series.shape.md) | Return a tuple of the shape of the underlying data. |
 | [`Series.ndim`](series.ndim.md) | Number of dimensions of the underlying data, by definition 1. |
-| [`Series.size`](series.size.md) | Return the number of elements in the underlying data. |
+| [`Series.size`]() | Return the number of elements in the underlying data. |
 
 ### Conversion
 
@@ -49,7 +49,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.ge`](series.ge.md) | Return Greater than or equal to of series and other, element-wise \(binary operator ge\). |
 | [`Series.ne`](series.ne.md) | Return Not equal to of series and other, element-wise \(binary operator ne\). |
 | [`Series.eq`](series.eq.md) | Return Equal to of series and other, element-wise \(binary operator eq\). |
-| [`Series.dot`](series.dot.md) | Compute the dot product between the Series and the columns of other. |
+| [`Series.dot`]() | Compute the dot product between the Series and the columns of other. |
 
 ### Function application & GroupBy
 
@@ -61,7 +61,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 | [`Series.abs`](series.abs.md) | Return a Series with absolute numeric value of each element. |
 | :--- | :--- |
-| [`Series.corr`](series.corr.md) | Compute correlation with other Series, excluding missing values. |
+| [`Series.corr`]() | Compute correlation with other Series, excluding missing values. |
 | [`Series.count`](series.count.md) | Return number of non-NaN observations in the Series. |
 | [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
 | [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index db9a8b4..c241eae 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,9 +4,31 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
+> danfo.Series.**abs**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
 
-**Parameters**: None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Boolean indicating whether to perform the operation in-place
+        or not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.add.md b/api-reference/series/series.add.md
index edde21c..9632650 100644
--- a/api-reference/series/series.add.md
+++ b/api-reference/series/series.add.md
@@ -4,11 +4,37 @@ description: 'Return Addition of series and other, element-wise (binary operator
 
 # Series.add
 
-> danfo.Series.add\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+> danfo.Series.add\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
diff --git a/api-reference/series/series.apply.md b/api-reference/series/series.apply.md
index f32717f..9d0407b 100644
--- a/api-reference/series/series.apply.md
+++ b/api-reference/series/series.apply.md
@@ -1,14 +1,40 @@
 ---
-description: invoke a function on Series Value
+description: Invoke a function on each value in a Series.
 ---
 
 # Series.apply
 
-> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function | Function \(can be anonymous\) to apply |  |
+> danfo.series.**apply**\(callable, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">callable</td>
+      <td style="text-align:left">Function</td>
+      <td style="text-align:left">Function (can be anonymous) to apply</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 29c19e3..8926e7f 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -4,11 +4,30 @@ description: Return the integer indices that would sort the Series values
 
 # Series.argsort
 
-> danfo.Series.**argsort**\(ascending\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
+> danfo.Series.**argsort**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| ascending | boolean | How to sort the indices. either **True** or **False** | true |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>ascending</b>: How to sort the indices</td>
+      <td style="text-align:left">
+        <p>{
+          <br /><b>ascending</b>: true</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series \(int element\)
 
@@ -22,7 +41,9 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print()
+sf.argsort().print() //defaults to ascending order
+sf.argsort({ ascending: false }).print()
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -49,6 +70,25 @@ sf.argsort().print()
 ╟───┼──────────────────────╢
 ║ 7 │ 1                    ║
 ╚═══╧══════════════════════╝
+
+//sorted in descending order
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 6 ║
+╟───┼───╢
+║ 2 │ 4 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.copy.md b/api-reference/series/series.copy.md
index 323fb47..73220c4 100644
--- a/api-reference/series/series.copy.md
+++ b/api-reference/series/series.copy.md
@@ -1,5 +1,5 @@
 ---
-description: Make a new copy of a Series
+description: Makes a deep copy of a Series
 ---
 
 # Series.copy
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 201ae11..78422ea 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -4,11 +4,31 @@ description: Returns cumulative maximum over a series
 
 # Series.cummax
 
-> danfo.Series.**cummax**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L825)\]
+> danfo.Series.**cummax**\(options\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)\]
 
-**Parameters:** None
-
-**Return**: Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index f2337a8..d368c0c 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -4,11 +4,31 @@ description: Returns the cumulative min of a Series
 
 # Series.cummin
 
-> danfo.Series.**cummin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L816)\]
+> danfo.Series.**cummin**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)\]
 
-**Parameters:** None
-
-**Return**: Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 6b72547..41c2898 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -4,11 +4,31 @@ description: Return the cumulative product of a series
 
 # Series.cumprod
 
-> danfo.Series.**cumprod**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L834)\]
+> danfo.Series.**cumprod**\(\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)\]
 
-**Parameters:** None
-
-**Return**: Series
+> <table>
+>   <thead>
+>     <tr>
+>       <th style="text-align:left">Parameters</th>
+>       <th style="text-align:left">Type</th>
+>       <th style="text-align:left">Description</th>
+>       <th style="text-align:left">Default</th>
+>     </tr>
+>   </thead>
+>   <tbody>
+>     <tr>
+>       <td style="text-align:left">options</td>
+>       <td style="text-align:left">Object</td>
+>       <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+>       <td
+>       style="text-align:left">
+>         <p>{</p>
+>         <p><b>inplace</b>: false</p>
+>         <p>}</p>
+>         </td>
+>     </tr>
+>   </tbody>
+> </table>
 
 **Example**
 
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index 205d777..db8021c 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -4,11 +4,31 @@ description: Return a cumulative sum of a series
 
 # Series.cumsum
 
-> danfo.Series.**cumsum**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L807)\]
-
-**Parameters:** None
-
-**Return**: Series
+> danfo.Series.**cumsum**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.div.md b/api-reference/series/series.div.md
index 4dd4fd0..495eba5 100644
--- a/api-reference/series/series.div.md
+++ b/api-reference/series/series.div.md
@@ -6,12 +6,37 @@ description: >-
 
 # Series.div
 
-> danfo.Series.div\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)\]
+> danfo.Series.div\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
-| round | bool | specify if to round off the floating number | true |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
@@ -51,7 +76,7 @@ sf1.div(sf2).print()
 {% endtab %}
 {% endtabs %}
 
-divide with a value
+### divide with a value
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index d5fd7e2..eae885c 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -4,18 +4,39 @@ description: Remove duplicate rows
 
 # Series.drop\_duplicates
 
-> danfo.Series.**drop\_duplicates**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-| kwargs\["**keep**"\] | String | {"**first**"or "**last**"}. Specify if to keep the last or the first duplicate value  | first |
+> danfo.Series.**drop\_duplicates**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>keep</b>: &quot;first&quot; | &quot;last&quot;, which duplicate value
+        to keep. Defaults to &quot;first&quot;.
+        <br /><b>inplace</b>: Boolean indicating whether to perform the operation in-place
+        or not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
 **Examples**
 
-Drop duplicate by keeping the first value of the duplicate value
+### Drop duplicate by keeping the first occurrence of the duplicate value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -51,7 +72,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Drop duplicate and keep only the last duplicated value
+### Drop duplicate and keep only the last duplicated value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -87,7 +108,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Remove duplicate value in series without returning a new series
+### Remove duplicate value in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 6fa1100..8e3a4be 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -4,17 +4,37 @@ description: Remove missing values from Series
 
 # Series.dropna
 
-> danfo.Series.**dropna**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+> danfo.Series.**dropna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{
+          <br />inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
 **Examples**
 
-Drop all nan value and then return New Series.
+### Drop all nan value and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -52,7 +72,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Drop nan values without returning new series
+### Drop nan values in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 09334c1..3e4fd5c 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -17,7 +17,7 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
 let sf = new dfd.Series(data)
 
 sf.dt.day().print()
@@ -32,26 +32,26 @@ sf.dt.day().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 0                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
 ```
 
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 1243049..8b9287f 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -22,7 +22,7 @@ let sf = new dfd.Series(data)
 // print series
 sf.print()
 // print hour series
-sf.dt.hour().print()
+sf.dt.hours().print()
 ```
 {% endtab %}
 
@@ -37,21 +37,17 @@ sf.dt.hour().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 2:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print hour series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╚═══╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index 0e6dedb..a1b449f 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -32,20 +32,18 @@ sf.dt.month().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 7                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╟───┼──────────────────────╢
-║ 4 │ 11                   ║
-╟───┼──────────────────────╢
-║ 5 │ 11                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 6  ║
+╟───┼────╢
+║ 1 │ 7  ║
+╟───┼────╢
+║ 2 │ 9  ║
+╟───┼────╢
+║ 3 │ 9  ║
+╟───┼────╢
+║ 4 │ 11 ║
+╟───┼────╢
+║ 5 │ 11 ║
+╚═══╧════╝
 ```
 
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index 82a7d3c..b137205 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -37,8 +37,6 @@ sf.dt.month_name().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2018, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 2/1/2018, 1:00:00 AM ║
@@ -46,16 +44,13 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print month name series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ Jan ║
+╟───┼─────╢
+║ 1 │ Feb ║
+╟───┼─────╢
+║ 2 │ Mar ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index 1c7e556..e52c916 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -37,8 +37,6 @@ sf.dt.monthday().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/2/2000, 1:00:00 AM ║
@@ -46,16 +44,13 @@ sf.dt.monthday().print()
 ║ 2 │ 1/3/2000, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print monthdays
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index e6fd771..5925e40 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -25,7 +25,7 @@ let sf = new dfd.Series(data)
 sf.print()
 
 //print the seconds obtained
-sf.seconds().print()
+sf.dt.seconds().print()
 ```
 {% endtab %}
 
@@ -41,8 +41,6 @@ sf.seconds().print()
 ```text
 
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 1:00:01 AM ║
@@ -50,16 +48,13 @@ sf.seconds().print()
 ║ 2 │ 1/1/2000, 1:00:02 AM ║
 ╚═══╧══════════════════════╝
 
-//the seconds obtained
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╚═══╧═══╝
 
 ```
 {% endtab %}
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index dc79e6c..64945fa 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -34,49 +34,48 @@ sf.dt.weekdays().print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12/31/2016, 1:00:... ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
 
-//print days of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 1 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 3 │ Tue                  ║
-╟───┼──────────────────────╢
-║ 4 │ Wed                  ║
-╟───┼──────────────────────╢
-║ 5 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 6 │ Fri                  ║
-╟───┼──────────────────────╢
-║ 7 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 8 │ Sun                  ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ Sat  ║
+╟───┼──────╢
+║ 1 │ Sun  ║
+╟───┼──────╢
+║ 2 │ Mon  ║
+╟───┼──────╢
+║ 3 │ Tue  ║
+╟───┼──────╢
+║ 4 │ Wed  ║
+╟───┼──────╢
+║ 5 │ Thur ║
+╟───┼──────╢
+║ 6 │ Fri  ║
+╟───┼──────╢
+║ 7 │ Sat  ║
+╟───┼──────╢
+║ 8 │ Sun  ║
+╟───┼──────╢
+║ 9 │ Mon  ║
+╚═══╧══════╝
 ```
 
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index a594255..c6a4040 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -28,8 +28,6 @@ sf.dt.year().print()
 ```text
 //print date time series
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2001, 1:00:00 AM ║
@@ -37,15 +35,12 @@ sf.dt.year().print()
 ║ 2 │ 1/1/2002, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print the year series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 1 │ 2001                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2002                 ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ 2000 ║
+╟───┼──────╢
+║ 1 │ 2001 ║
+╟───┼──────╢
+║ 2 │ 2002 ║
+╚═══╧══════╝
 ```
 
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 341dbb9..9e8a9c3 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -8,7 +8,7 @@ description: Check all the values in a series is equal to another value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| other | Series, Array or number |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index b1bea1b..f14e5d3 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -4,18 +4,38 @@ description: Replace all NaN value with specified value
 
 # Series.fillna
 
-> danfo.Series.**fillna**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**value**"\] | int \| String\| bool | value to replace the NaN values |  |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-
-**Returns:**  Series
+> danfo.Series.**fillna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p><b>value</b>: The value to replace all missing value with.</p>
+        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
+          or not. Defaults to false</p>
+      </td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Examples**
 
-Fill nan value and then return new series
+### Fill nan value and then return new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -62,7 +82,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Fill nan value without returning new Series
+### Fill nan value in-place
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index b3d8b69..a7c0ead 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean element\)
 
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index a98f618..98eb444 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -8,7 +8,7 @@ description: Check if all the value in a series is greater than a value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index e580803..195677a 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -4,7 +4,7 @@ danfo.Series.**iloc**\(\) \[[source](https://github.com/opensource9ja/danfojs/bl
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| rows | Array | Array, slice or index of row position to return |  |
+| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
 
 **Returns:**
 
@@ -18,9 +18,10 @@ Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
+* A boolean mask. E.g \[ true, false, false \]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only ****the start label is included._
+_**Note:** only ****the start label is included, and the end label is ignored._ 
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -30,7 +31,6 @@ _**Note:** only ****the start label is included._
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-// const tf = require("@tensorflow/tfjs-node")
 
 
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
@@ -62,7 +62,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[0: 5\]". This will return all values from index positions 0 to 4. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -136,5 +136,27 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
+### Slice Series by boolean condition 
 
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
 
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index e9056d7..0dde01a 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean Element\)
 
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index bb18486..73c45d1 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -8,7 +8,7 @@ description: Check if all values in a Series are less than a value.
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| other | Series, Array or number | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.map.md b/api-reference/series/series.map.md
index 1071a1f..c992de7 100644
--- a/api-reference/series/series.map.md
+++ b/api-reference/series/series.map.md
@@ -1,25 +1,51 @@
 ---
-description: Map the value of a series to it representation
+description: Map the value of a series to a function or Object
 ---
 
 # Series.map
 
 > danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
 
-| Parameter | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function or Object | callable can either be a function or an object\({}\) |  |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameter</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">callable</td>
+      <td style="text-align:left">Function or Object</td>
+      <td style="text-align:left">A function or object({})</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
-Mapping the element in a Series to a word
+Mapping the element in a Series  words in an Object
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let sf = new dfd.Series([1,2,3,4])
+let sf = new dfd.Series([1, 2, 3, 4])
 let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
 sf.map(map).print()
 
diff --git a/api-reference/series/series.mod.md b/api-reference/series/series.mod.md
index 59a0320..1dee05d 100644
--- a/api-reference/series/series.mod.md
+++ b/api-reference/series/series.mod.md
@@ -4,11 +4,37 @@ description: 'Return Modulo of series and other, element-wise (binary operator m
 
 # Series.mod
 
-> danfo.Series.mod\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)\]
+> danfo.Series.mod\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\|float | values  |  |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|float</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
diff --git a/api-reference/series/series.mul.md b/api-reference/series/series.mul.md
index 855173b..463d52e 100644
--- a/api-reference/series/series.mul.md
+++ b/api-reference/series/series.mul.md
@@ -4,11 +4,37 @@ description: 'Return Multiplication of series and other, element-wise (binary op
 
 # Series.mul
 
-> danfo.Series.mul\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+> danfo.Series.mul\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index 9901dcd..fcf182a 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -8,7 +8,7 @@ description: Check if all values in a  series is not equal to a value(s)
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| other | Series, Array or number |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 8ddafe4..42f678d 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -1,5 +1,5 @@
 ---
-description: Obtain the number of unique values in a series
+description: Returns the number of unique values in a series
 ---
 
 # Series.nunique
diff --git a/api-reference/series/series.pow.md b/api-reference/series/series.pow.md
index 6a67b3b..e113ffe 100644
--- a/api-reference/series/series.pow.md
+++ b/api-reference/series/series.pow.md
@@ -6,11 +6,37 @@ description: >-
 
 # Series.pow
 
-> danfo.Series.pow\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)\]
+> danfo.Series.pow\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index 4b49fa2..cf1dd06 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,19 +4,41 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**\(kwargs\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**replace**"\] | int \| String\| bool | value to be replaced |  |
-| kwargs\["**with**"\] | int \| String \| bool | value to replace the previous value |  |
-| kwargs\["**inplace**"\] | Bool | mutate the series or create the new series | false |
+> danfo.Series.**replace**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p> <b>oldValue</b>: The value you want to replace</p>
+        <p><b>newValue</b>: The new value you want to replace the old value with</p>
+        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
+          or not</p>
+      </td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
 **Examples**
 
-Replace a value in a series and return a new series
+### Replace a value in a series and return a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -25,7 +47,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ replace: 10, with: -50 })
+let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
 
 sf_rep.print()
 ```
@@ -35,28 +57,27 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-Replace a value in a series , with out returning a new series
+### Replace a value in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -65,7 +86,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ replace: 10, with: -50, inplace:true })
+sf.replace({ oldValue: 10, newValue: -50, inplace: true})
 
 sf.print()
 ```
@@ -73,22 +94,21 @@ sf.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
 ```
 
diff --git a/api-reference/series/series.reset_index.md b/api-reference/series/series.reset_index.md
index e03ea87..620904c 100644
--- a/api-reference/series/series.reset_index.md
+++ b/api-reference/series/series.reset_index.md
@@ -4,66 +4,28 @@ description: Reset the index of a series.
 
 # Series.reset\_index
 
-> danfo.series.reset\_index\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
-
-Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
+> danfo.series.reset\_index\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| kwargs | Object | kwargs is an object {} with key **inplace** with a boolean value. e.g {inplace: false} | inplace:false |
+| options | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
 
 **Returns :** Series
 
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
-let sf_reset = sf_new.reset_index()
-sf_reset.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
+`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
 
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ {"alpha":"A","cou... ║
-╟───┼──────────────────────╢
-║ 1 │ {"alpha":"B","cou... ║
-╟───┼──────────────────────╢
-║ 2 │ {"alpha":"C","cou... ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
+### **Reset index to default values**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+let data = [20, 30, 40]
+let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
+sf.print()
 
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
-
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
 let sf_reset = sf.reset_index()
 sf_reset.print()
-
 ```
 {% endtab %}
 
@@ -77,38 +39,37 @@ sf_reset.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ a │ 20 ║
+╟───┼────╢
+║ b │ 30 ║
+╟───┼────╢
+║ c │ 40 ║
+╚═══╧════╝
+
+╔═══╤════╗
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 2 │ 40 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Reset index without returning a new Series
+### Reset index to new values in-place
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
+sf.print()
 
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-sf.reset_index({"inplace":true})
+sf.reset_index({ inplace: true })
 sf.print()
+
 ```
 {% endtab %}
 
@@ -122,21 +83,33 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╟───┼───╢
+║ f │ 6 ║
+╚═══╧═══╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 4 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 6 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.round.md b/api-reference/series/series.round.md
index 3dcc39f..acb6726 100644
--- a/api-reference/series/series.round.md
+++ b/api-reference/series/series.round.md
@@ -4,11 +4,37 @@ description: round off floating values in series
 
 # Series.round
 
-> danfo.Series.round\(dp\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)\]
+> danfo.Series.round\(dp, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| dp | int | decimal place to round off to |  |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">dp</td>
+      <td style="text-align:left">int</td>
+      <td style="text-align:left">decimal place to round off to</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.sample.md b/api-reference/series/series.sample.md
index 4ab195e..7e91ca4 100644
--- a/api-reference/series/series.sample.md
+++ b/api-reference/series/series.sample.md
@@ -6,10 +6,36 @@ description: Return a random sample of items from an axis of object.
 
 > danfo.Series.sample\(num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | Int | The number of rows to return. Defaults to -1, which shuffles and return all rows.  | -1 |
-| seed | int | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">num</td>
+      <td style="text-align:left">Int</td>
+      <td style="text-align:left">The number of rows to return.</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>seed</b>: An integer specifying the random seed that will be used to
+        create the distribution. Ensures reproducibility of generated samples.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p>seed: 1</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
@@ -33,20 +59,34 @@ load_data()
 {% tabs %}
 {% tab title="Output" %}
 ```javascript
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 7 │ 40                   ║
-╟───┼──────────────────────╢
-║ 6 │ 30                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 2 │ 3  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 0 │ 1  ║
+╟───┼────╢
+║ 7 │ 40 ║
+╟───┼────╢
+║ 6 │ 30 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
+### Specify a seed when sampling
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+    let sf1 = new dfd.Series(data1);
+    let sample = await sf1.sample(5, { seed: 2 })
+    sample.print()
+
+}
+load_data()
+
+```
+
diff --git a/api-reference/series/series.set_index.md b/api-reference/series/series.set_index.md
index 91adf23..57abe40 100644
--- a/api-reference/series/series.set_index.md
+++ b/api-reference/series/series.set_index.md
@@ -4,12 +4,37 @@ description: Assign new Index to Series
 
 # Series.set\_index
 
-> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["index"\] | Array | index to replace the former index  |  |
-| kwargs\["inplace"\] | Boolean | return new series or not | false |
+> danfo.series.**set\_index\(**options**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameter</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">index</td>
+      <td style="text-align:left">Array</td>
+      <td style="text-align:left">new index values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
@@ -19,9 +44,10 @@ description: Assign new Index to Series
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
 let sf = new dfd.Series(data)
+sf.print()
+
 let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
 sf_new.print()
 ```
@@ -37,15 +63,21 @@ sf_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ one   │ {"alpha":"A","cou... ║
-╟───────┼──────────────────────╢
-║ two   │ {"alpha":"B","cou... ║
-╟───────┼──────────────────────╢
-║ three │ {"alpha":"C","cou... ║
-╚═══════╧══════════════════════╝
+╔═══╤═════════════════════════╗
+║ 0 │ {"alpha":"A","count":1} ║
+╟───┼─────────────────────────╢
+║ 1 │ {"alpha":"B","count":2} ║
+╟───┼─────────────────────────╢
+║ 2 │ {"alpha":"C","count":3} ║
+╚═══╧═════════════════════════╝
+
+╔═══════╤═════════════════════════╗
+║ one   │ {"alpha":"A","count":1} ║
+╟───────┼─────────────────────────╢
+║ two   │ {"alpha":"B","count":2} ║
+╟───────┼─────────────────────────╢
+║ three │ {"alpha":"C","count":3} ║
+╚═══════╧═════════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -89,16 +121,16 @@ sf_new.print()
 {% endtab %}
 {% endtabs %}
 
-set index without creating a new series by using `inplace = true`
+### Set index in-place
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs")
 
-let data = [1,2,3,4,5,6]
+let data = [1, 2, 3, 4, 5, 6]
 let sf = new dfd.Series(data)
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
 sf.print()
 ```
 {% endtab %}
@@ -113,21 +145,20 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ one   │ 1                    ║
-╟───────┼──────────────────────╢
-║ two   │ 2                    ║
-╟───────┼──────────────────────╢
-║ three │ 3                    ║
-╟───────┼──────────────────────╢
-║ four  │ 4                    ║
-╟───────┼──────────────────────╢
-║ five  │ 5                    ║
-╟───────┼──────────────────────╢
-║ six   │ 6                    ║
-╚═══════╧══════════════════════╝
+╔═══════╤═══╗
+║ one   │ 1 ║
+╟───────┼───╢
+║ two   │ 2 ║
+╟───────┼───╢
+║ three │ 3 ║
+╟───────┼───╢
+║ four  │ 4 ║
+╟───────┼───╢
+║ five  │ 5 ║
+╟───────┼───╢
+║ six   │ 6 ║
+╚═══════╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.sort_values.md b/api-reference/series/series.sort_values.md
index 54966ac..35012f7 100644
--- a/api-reference/series/series.sort_values.md
+++ b/api-reference/series/series.sort_values.md
@@ -1,21 +1,43 @@
 ---
-description: Sort a Series in ascending or descending order
+description: Sorts a Series in ascending or descending order
 ---
 
 # Series.sort\_values
 
-> danfo.Series.sort\_values\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["inplace"\] | Boolean | return new series or not | false |
-| kwargs\["ascending"\] | Boolean | select if to sort by ascending or descending | true |
+> danfo.Series.sort\_values\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p><b>inplace</b>: Boolean indicating whether to perform the operation in-place
+          or not. Defaults to false</p>
+        <p><b>ascending</b>: Whether to return sorted values in ascending order or
+          not. Defaults to true</p>
+      </td>
+      <td style="text-align:left">
+        <p>{
+          <br />ascending: true,</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
   **Return:** Series
 
-**Examples**
-
-Sort series values using the default settings
+### Sort values in a Series 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -34,32 +56,30 @@ sf2.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Sort series value without returning a new series
+### Sort Series in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -68,7 +88,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
 let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "inplace": true })
+sf1.sort_values({ inplace: true })
 
 sf1.print()
 ```
@@ -78,32 +98,31 @@ sf1.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-Sort series value in descending order
+Sort Series values in descending order
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,27 +141,25 @@ sf1.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 6 │ 89 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 7 │ 0  ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.capitalize.md b/api-reference/series/series.str.capitalize.md
index 5df261a..10483b3 100644
--- a/api-reference/series/series.str.capitalize.md
+++ b/api-reference/series/series.str.capitalize.md
@@ -4,9 +4,31 @@ description: Capitalize the first character of each string
 
 # Series.str.capitalize
 
-> danfo.Series.str.**capitalize**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
+> danfo.Series.str.**capitalize**\(options\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.charat.md b/api-reference/series/series.str.charat.md
index 3df2bbc..9cb1d66 100644
--- a/api-reference/series/series.str.charat.md
+++ b/api-reference/series/series.str.charat.md
@@ -6,9 +6,35 @@ description: Obtain the character at the specified index (position)
 
 > danfo.Series.str.**charAt**\(index\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| index | int | the index at which to obtain the character | 0 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">index</td>
+      <td style="text-align:left">int</td>
+      <td style="text-align:left">the index at which to obtain the character</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(Character element\)
 
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index 0a24597..b27bc00 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -4,12 +4,46 @@ description: Joins two or more strings/arrays
 
 # Series.str.concat
 
-> danfo.Series.str.**concat**\(other, position\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | string or Array | string or list of strings to add to each string element of the series | "" |
-| position | Int | The position to add the **other** \(string or array\) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1  |
+> danfo.Series.str.**concat**\(other, position, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">string or Array</td>
+      <td style="text-align:left">string or list of strings to add to each string element of the series</td>
+      <td
+      style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">position</td>
+      <td style="text-align:left">Int</td>
+      <td style="text-align:left">The position to add the <b>other </b>(string or array) is either 0 or 1.
+        0 is to add the other at the beginning of each of the string element, and
+        1 is to add to the end of the string element</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series \(String element\)
 
diff --git a/api-reference/series/series.str.endswith.md b/api-reference/series/series.str.endswith.md
index 645294d..18753cb 100644
--- a/api-reference/series/series.str.endswith.md
+++ b/api-reference/series/series.str.endswith.md
@@ -4,11 +4,37 @@ description: Checks whether a string ends with specified characters
 
 # Series.str.endsWith
 
-> danfo.Series.str.**endsWith**\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
+> danfo.Series.str.**endsWith**\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.includes.md b/api-reference/series/series.str.includes.md
index c2cb4af..cfa9c16 100644
--- a/api-reference/series/series.str.includes.md
+++ b/api-reference/series/series.str.includes.md
@@ -4,11 +4,37 @@ description: Checks whether a string contains the specified string/characters
 
 # Series.str.includes
 
-> danfo.Series.str.includes\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
+> danfo.Series.str.includes\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index a823d20..fe93a74 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -4,11 +4,37 @@ description: the position of the first found occurrence of a specified value in
 
 # Series.str.indexOf
 
-> danfo.Series.str.indexOf\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
+> danfo.Series.str.indexOf\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to obtain its index | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the string to obtain its index</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index 4c17295..a32c1bb 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -4,12 +4,43 @@ description: Join a new string value to all string elements in a Series.
 
 # Series.str.join
 
-> danfo.Series.str.**join**\(valToJoin,joinChar\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
+> danfo.Series.str.**join**\(valToJoin, joinChar, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| valToJoin | String | the string value you want to  |  "" |
-| joinChar | String | The delimiter to specify the joining | " " |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">valToJoin</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">the string value you want to</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">joinChar</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">The delimiter to specify the joining</td>
+      <td style="text-align:left">&quot; &quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
@@ -38,17 +69,15 @@ sf.str.join("new", "_").print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part_new       ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city_new    ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentenc... ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe_new        ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════════╗
+║ 0 │ lower part_new         ║
+╟───┼────────────────────────╢
+║ 1 │ CAPITALS city_new      ║
+╟───┼────────────────────────╢
+║ 2 │ this is a sentence_new ║
+╟───┼────────────────────────╢
+║ 3 │ SwAp CaSe_new          ║
+╚═══╧════════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.lastindexof.md b/api-reference/series/series.str.lastindexof.md
index 130c50c..d2bfa98 100644
--- a/api-reference/series/series.str.lastindexof.md
+++ b/api-reference/series/series.str.lastindexof.md
@@ -6,11 +6,37 @@ description: >-
 
 # Series.str.lastIndexOf
 
-danfo.Series.str.lastIndexOf\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
+danfo.Series.str.lastIndexOf\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to search for | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**: Series
 
diff --git a/api-reference/series/series.str.len.md b/api-reference/series/series.str.len.md
index 60153e8..be82b70 100644
--- a/api-reference/series/series.str.len.md
+++ b/api-reference/series/series.str.len.md
@@ -4,13 +4,31 @@ description: Obtain the length of each string element in a Series
 
 # Series.str.len
 
-> danfo.Series.str.**len**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
+> danfo.Series.str.**len**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
 
-**Parameters**: None
-
-**Returns:**
-
-      return Series
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Examples**
 
@@ -21,7 +39,7 @@ Returns the length \(number of character\) of a string, and also return the leng
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = ["dog", 5,"cat",["fog","mug"],"animals"]
+let data = ["dog", 5,"cat","fog","mug","animals"]
 let sf = new dfd.Series(data)
 sf.str.len().print()
 ```
@@ -37,19 +55,19 @@ sf.str.len().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ NaN                  ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index e6c1f32..2f1d49b 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -4,11 +4,37 @@ description: Repeat the the character(s) in a string for a specified number of t
 
 # Series.str.repeat
 
-> danfo.Series.str.**repeat**\(num\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
+> danfo.Series.str.**repeat**\(num, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | integer | the string to search for | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">num</td>
+      <td style="text-align:left">integer</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series
 
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index c96137c..0950071 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,12 +4,43 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace\(searchValue, replaceValue\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
+> danfo.Series.str.replace\(searchValue, replaceValue, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| searchValue | string | the string to search for | "" |
-| replaceValue | String | string to replace the searched string | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">searchValue</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">String | Character value to replace. Supports regex.</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">replaceValue</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">string to replace the searched string</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 8824095..4367ae8 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -4,13 +4,39 @@ description: Obtain the index position of a searched  character in a String
 
 # Series.str.search
 
-> danfo.Series.str.**search**\(str\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
-
-
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | String | the string to search for | "" |
+> danfo.Series.str.**search**\(str, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
+
+
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">String</td>
+      <td style="text-align:left">the string to search for</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index d314066..e843eb8 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -4,12 +4,43 @@ description: Obtain the substring of each element in a series
 
 # Series.str.slice
 
-> danfo.Series.str.slice\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
+> danfo.Series.str.slice\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">endIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to end the substring</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 65a82c7..4b88313 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,11 +6,12 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**\(splitVal\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L250)\]
+> danfo.Series.str.**split**\(splitVal, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
 | splitVal | String | separator or delimiter used to split the string  | " " |
+| options | Object | **inplace**: Whether to perform operation in-place or not. | { inplace: false } |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index 311bb2f..c141afd 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -4,11 +4,37 @@ description: Test whether a string begins with specified characters
 
 # Series.str.startsWith
 
-> danfo.Series.str.**startsWith**\(str\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
+> danfo.Series.str.**startsWith**\(str, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">str</td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">the character(s) to check</td>
+      <td style="text-align:left">&quot;&quot;</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**  Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index 1512f02..8869806 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -6,12 +6,44 @@ description: >-
 
 # Series.str.substr
 
-> danfo.Series.str.substr\(startIndex, num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
+> danfo.Series.str.substr\(startIndex, num, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| num | Number | The number of character to obtain starting from the startIndex | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">num</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">The number of character to obtain starting from the startIndex</td>
+      <td
+      style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 73ab3a8..7515af0 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -4,12 +4,43 @@ description: Obtain the substring of each element in a series
 
 # Series.str.substring
 
-> danfo.Series.str.**substring**\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
+> danfo.Series.str.**substring**\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">startIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to start obtaining the substring</td>
+      <td style="text-align:left">0</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">endIndex</td>
+      <td style="text-align:left">Number</td>
+      <td style="text-align:left">specify the index to end the substring</td>
+      <td style="text-align:left">1</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**
 
diff --git a/api-reference/series/series.str.tolowercase.md b/api-reference/series/series.str.tolowercase.md
index ada457b..9dfb12f 100644
--- a/api-reference/series/series.str.tolowercase.md
+++ b/api-reference/series/series.str.tolowercase.md
@@ -4,11 +4,31 @@ description: Converts all characters to lower case.
 
 # Series.str.toLowerCase
 
-> danfo.Series.str.toLowerCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
+> danfo.Series.str.toLowerCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
 
-**Parameters:** None
-
-**Returns**:  Series \(String element\)
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Example**
 
diff --git a/api-reference/series/series.str.touppercase.md b/api-reference/series/series.str.touppercase.md
index 7e23c08..4f630ae 100644
--- a/api-reference/series/series.str.touppercase.md
+++ b/api-reference/series/series.str.touppercase.md
@@ -4,9 +4,31 @@ description: Converts all characters to uppercase.
 
 # Series.str.toUpperCase
 
-> danfo.Series.str.toUpperCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
+> danfo.Series.str.toUpperCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index 7e30db5..181c004 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -4,9 +4,31 @@ description: Remove leading and trailing Whitespace from a String element
 
 # Series.str.trim
 
-> danfo.Series.str.**trim**\(\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
+> danfo.Series.str.**trim**\(options\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
 
-**Parameters:** None
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
+      <td
+      style="text-align:left">
+        <p>{</p>
+        <p><b>inplace</b>: false</p>
+        <p>}</p>
+        </td>
+    </tr>
+  </tbody>
+</table>
 
 **Returns:**
 
diff --git a/api-reference/series/series.sub.md b/api-reference/series/series.sub.md
index 95da267..d9f1d7d 100644
--- a/api-reference/series/series.sub.md
+++ b/api-reference/series/series.sub.md
@@ -4,11 +4,37 @@ description: 'Return Subtraction of series and other, element-wise (binary opera
 
 # Series.sub
 
-> danfo.Series.sub\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+> danfo.Series.sub\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">other</td>
+      <td style="text-align:left">Series|int|</td>
+      <td style="text-align:left">values</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
+        not. Defaults to false</td>
+      <td style="text-align:left">
+        <p>{</p>
+        <p>inplace: false</p>
+        <p>}</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
 
 **Return:** Series
 
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 66dd124..48b3b1c 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,9 +9,7 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-
-
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -19,9 +17,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-### Setting up your environment
+## Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -31,9 +29,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):** 
+**Update \(14th Feb 2021\):**
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
 
 ```javascript
 npm install danfojs-node
@@ -46,7 +44,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-### Loading and processing your data
+## Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -54,11 +52,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-    
+
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-    
-    
+
+
 }
 ```
 
@@ -80,7 +78,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -110,7 +108,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -120,7 +118,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -138,7 +136,6 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -159,7 +156,6 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -183,7 +179,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -193,7 +189,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -250,11 +246,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-### Model Building With Tensorflow.js
+## Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get\_model. This will construct and return a model when called. 
+Create a simple function called get\_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -268,12 +264,11 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
 
 Next, you will create a function called _**train:**_
 
 ```javascript
-
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -285,7 +280,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-    
+
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -298,15 +293,15 @@ async function train() {
             }
         }
     });
-    
+
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
-The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -393,7 +388,6 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
-
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -419,13 +413,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index a88f855..f5f99a2 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,27 +8,43 @@ description: >-
 
 ## Installation
 
-There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
+There are three ways to install and use Danfo.js in your application
+
+For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
 
 ```text
 npm install danfojs-node
+
+or
+
+yarn add danfojs-node
+```
+
+For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+
+```text
+npm install danfojs
+
+or
+
+yarn add danfojs
 ```
 
-You can also install and use it in the browsers by using the CDN below:
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
+We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -45,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -114,7 +130,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
+║ 3 │ undefined            ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -168,17 +184,15 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 1 │ 34 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 2  ║
+╚═══╧════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -386,19 +400,17 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ string               ║
-╟───┼──────────────────────╢
-║ B │ string               ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ float32              ║
-╟───┼──────────────────────╢
-║ E │ string               ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ string  ║
+╟───┼─────────╢
+║ B │ string  ║
+╟───┼─────────╢
+║ C │ int32   ║
+╟───┼─────────╢
+║ D │ float32 ║
+╟───┼─────────╢
+║ E │ string  ║
+╚═══╧═════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -705,19 +717,23 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║        │ A                 │ B                 │ C                 │ D                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
-╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -772,15 +788,17 @@ df.print()
 {% endtabs %}
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ NaN               │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -939,7 +957,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing, both endpoints are _included_:
+Showing label slicing:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -970,17 +988,15 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- Shape: (3,2) 
+ 
 
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1026,15 +1042,13 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1078,13 +1092,11 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1103,17 +1115,62 @@ sub_df.print()
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ Count             ║
+╟────────────┼───────────────────╢
+║ 0          │ 21                ║
+╟────────────┼───────────────────╢
+║ 1          │ 5                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 30                ║
+╟────────────┼───────────────────╢
+║ 3          │ 10                ║
+╚════════════╧═══════════════════╝
+```
+
+#### Selection with Boolean Mask
+
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+
+```javascript
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+
+let sub_df = df.iloc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+
+```text
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+
+```javascript
+let sub_df = df.iloc({
+    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
+    columns: [0]
+})
+sub_df.print()
+
+//output
+╔════════════╤═══════════════════╗
+║            │ Name              ║
+╟────────────┼───────────────────╢
+║ 0          │ Apples            ║
+╚════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1194,7 +1251,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Selecting values from a DataFrame works on string columns:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1202,34 +1259,36 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+let query_df = df.query({ condition: df["B"].gt(5) })
 query_df.print() //after query
 ```
 
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
 
-//after query
+Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let query_df = df.query({
+    condition:
+        df["B"].gt(5).and(df["A"].lt(30))
+})
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1249,7 +1308,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
+df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1281,7 +1340,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>
@@ -1309,22 +1368,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                │ 45                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                │ 55                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
-danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
+ **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
 
 To drop any rows that have missing data:
 
@@ -1333,13 +1392,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
@@ -1380,27 +1439,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
- Shape: (1,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1408,44 +1467,45 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 1})
+let df_drop = df.dropna(1)
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 34                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
+
 ```
 
 Filling missing data:
@@ -1455,13 +1515,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-            "Name": ["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10],
-            "Price": [200, 300, 40, 250]
-          }
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+  }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 ```
@@ -1485,14 +1545,16 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
@@ -1554,7 +1616,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1608,11 +1670,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ 0 │ 4                    ║
+║ A │ 4                    ║
 ╟───┼──────────────────────╢
-║ 1 │ 38.5                 ║
+║ B │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ 2 │ 31.75                ║
+║ C │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1666,7 +1728,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -1687,7 +1749,7 @@ df_new.print()
 
 #### Apply
 
-Applying JavaScript functions to the data:
+Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1696,11 +1758,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 
@@ -1721,22 +1783,18 @@ df_new.print()
 
 //after applying
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 
-Applying Tensorflow functions to the data:
+Applying Element wise operations to the data:
 
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1745,13 +1803,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.print()
-
-function log_sig(x) {
-    return x.logSigmoid()
+function sum_vals(x) {
+    return x + 10
 }
 
-let df_new = df.apply({axis: 0, callable: log_sig })
+let df_new = df.apply_map(sum_vals)
 df_new.print()
 ```
 
@@ -1770,19 +1826,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after applying
+ //after apply_map
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 12                │ 13                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 14                │ 15                │ 16                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                │ 50                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 49                │ 99                │ 88                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2269,29 +2325,36 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format.
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
 
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
-          "Abs": [20.2, 30, 47.3],
-          "Count": [34, 4, 5],
-          "country code": ["NG", "FR", "GH"]
-        }
+    "Abs": [20.2, 30, 47.3],
+    "Count": [34, 4, 5],
+    "country code": ["NG", "FR", "GH"]
+}
 
 
 let df = new dfd.DataFrame(data)
 
-df.to_csv().then((csv) => {
-  console.log(csv);
+const csv = df.to_csv()
+console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+
+
+df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
+
+
+df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-}).catch((err) => {
 
-  console.log(err);
-})
 ```
 
 ```text
@@ -2372,18 +2435,24 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-df.to_json().then((json) => {
-  console.log(json);
+const json = df.to_json()
+console.log(json);
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
 
-}).catch((err) => {
 
-  console.log(err);
-})
-```
+const json = df.to_json({format: "row"})
+console.log(json);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
 
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From c799448e3e94af06730d0f7e37ca0b984a7b7e1b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 15:51:11 +0000
Subject: [PATCH 026/202] GitBook: [master] 80 pages modified

---
 README.md                                     |  12 +-
 SUMMARY.md                                    |   1 +
 api-reference/README.md                       |   2 +-
 .../dataframe/creating-a-dataframe.md         | 254 ++++++++++++++++++
 .../dataframe/danfo.dataframe.addcolumn.md    |  15 +-
 .../dataframe/dataframe.set_index.md          |  15 +-
 api-reference/general-functions/README.md     |   2 +-
 .../general-functions/danfo.get_dummies.md    |  48 ++--
 .../general-functions/danfo.onehotencoder.md  |   4 +-
 .../general-functions/danfo.standardscaler.md |   2 +-
 .../general-functions/danfo.to_datetime.md    | 171 ++++++------
 api-reference/input-output/README.md          |  11 +-
 api-reference/input-output/danfo.read_csv.md  | 194 ++++++++++---
 .../input-output/danfo.read_excel.md          |  18 +-
 api-reference/input-output/danfo.read_json.md | 137 +---------
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/timeseries-plots.md    |   5 +-
 api-reference/series/README.md                |   6 +-
 api-reference/series/series.abs.md            |  26 +-
 api-reference/series/series.add.md            |  36 +--
 api-reference/series/series.apply.md          |  38 +--
 api-reference/series/series.argsort.md        |  50 +---
 api-reference/series/series.copy.md           |   2 +-
 api-reference/series/series.cummax.md         |  28 +-
 api-reference/series/series.cummin.md         |  28 +-
 api-reference/series/series.cumprod.md        |  28 +-
 api-reference/series/series.cumsum.md         |  30 +--
 api-reference/series/series.div.md            |  37 +--
 .../series/series.drop_duplicates.md          |  39 +--
 api-reference/series/series.dropna.md         |  34 +--
 api-reference/series/series.dt.day.md         |  44 +--
 api-reference/series/series.dt.hour.md        |  18 +-
 api-reference/series/series.dt.month.md       |  28 +-
 api-reference/series/series.dt.month_name.md  |  19 +-
 api-reference/series/series.dt.monthday.md    |  19 +-
 api-reference/series/series.dt.second.md      |  21 +-
 api-reference/series/series.dt.weekdays.md    |  85 +++---
 api-reference/series/series.dt.year.md        |  19 +-
 api-reference/series/series.eq.md             |   2 +-
 api-reference/series/series.fillna.md         |  40 +--
 api-reference/series/series.ge.md             |   2 +-
 api-reference/series/series.gt.md             |   2 +-
 api-reference/series/series.iloc.md           |  30 +--
 api-reference/series/series.le.md             |   2 +-
 api-reference/series/series.lt.md             |   2 +-
 api-reference/series/series.map.md            |  38 +--
 api-reference/series/series.mod.md            |  34 +--
 api-reference/series/series.mul.md            |  36 +--
 api-reference/series/series.ne.md             |   2 +-
 api-reference/series/series.nunique.md        |   2 +-
 api-reference/series/series.pow.md            |  34 +--
 api-reference/series/series.replace.md        | 110 ++++----
 api-reference/series/series.reset_index.md    | 137 ++++++----
 api-reference/series/series.round.md          |  34 +--
 api-reference/series/series.sample.md         |  74 ++---
 api-reference/series/series.set_index.md      |  99 +++----
 api-reference/series/series.sort_values.md    | 169 ++++++------
 api-reference/series/series.str.capitalize.md |  26 +-
 api-reference/series/series.str.charat.md     |  32 +--
 api-reference/series/series.str.concat.md     |  46 +---
 api-reference/series/series.str.endswith.md   |  34 +--
 api-reference/series/series.str.includes.md   |  34 +--
 api-reference/series/series.str.indexof.md    |  34 +--
 api-reference/series/series.str.join.md       |  61 ++---
 .../series/series.str.lastindexof.md          |  34 +--
 api-reference/series/series.str.len.md        |  58 ++--
 api-reference/series/series.str.repeat.md     |  34 +--
 api-reference/series/series.str.replace.md    |  41 +--
 api-reference/series/series.str.search.md     |  40 +--
 api-reference/series/series.str.slice.md      |  41 +--
 api-reference/series/series.str.split.md      |   3 +-
 api-reference/series/series.str.startswith.md |  34 +--
 api-reference/series/series.str.substr.md     |  42 +--
 api-reference/series/series.str.substring.md  |  41 +--
 .../series/series.str.tolowercase.md          |  28 +-
 .../series/series.str.touppercase.md          |  26 +-
 api-reference/series/series.str.trim.md       |  26 +-
 api-reference/series/series.sub.md            |  36 +--
 ...iction-using-danfo.js-and-tensorflow.js.md |  58 ++--
 getting-started.md                            |   4 +-
 80 files changed, 1211 insertions(+), 1979 deletions(-)
 create mode 100644 api-reference/dataframe/creating-a-dataframe.md

diff --git a/README.md b/README.md
index b170fbb..92e7da5 100644
--- a/README.md
+++ b/README.md
@@ -11,22 +11,22 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
 * Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
+* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\), Excel, and JSON data format.
-* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
+* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
+New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
 
 {% page-ref page="getting-started.md" %}
 
diff --git a/SUMMARY.md b/SUMMARY.md
index d7821c4..47af443 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -112,6 +112,7 @@
     * [Series.and](api-reference/series/series.and.md)
     * [Series.or](api-reference/series/series.or.md)
   * [Dataframe](api-reference/dataframe/README.md)
+    * [Creating a DataFrame](api-reference/dataframe/creating-a-dataframe.md)
     * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
     * [DataFrame.nunique](api-reference/dataframe/dataframe.nunique-1.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index 492db09..70dff34 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
new file mode 100644
index 0000000..29d0fc2
--- /dev/null
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -0,0 +1,254 @@
+# Creating a DataFrame
+
+In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
+
+### Creating a `DataFrame` from a JSON object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+df = new dfd.DataFrame(json_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Creating a `DataFrame` from a 2D tensor
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const tf = require("@tensorflow/tfjs-node")
+
+
+let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
+let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ int32                ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+```
+
+### Creating a `DataFrame` from a dictionary of objects with the same length
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+console.log(dates);
+
+obj_data = {'A': dates,
+            'B': ["bval1", "bval2", "bval3", "bval4"],
+            'C': [10, 20, 30, 40],
+            'D': [1.2, 3.45, 60.1, 45],
+            'E': ["test", "train", "test", "train"]
+            }
+
+df = new dfd.DataFrame(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+        console.log(dates);
+
+        obj_data = {'A': dates,
+                    'B': ["bval1", "bval2", "bval3", "bval4"],
+                    'C': [10, 20, 30, 40],
+                    'D': [1.2, 3.45, 60.1, 45],
+                    'E': ["test", "train", "test", "train"]
+                    }
+
+        df = new dfd.DataFrame(obj_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//output in console
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying index, dtypes, columns
+
+You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
+
+> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+let index = ["a", "b"];
+let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
+let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
+
+let df = new DataFrame(data1, { index, columns, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying memory mode
+
+To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+
+let df = new DataFrame(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
+{% endhint %}
+
+For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
+
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index f74da8c..3e20f6a 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -21,9 +21,7 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{<b>column</b> : str, name of the column to add</p>
-        <p> <b>values:</b> Series<b>,</b> Array of new values to add
-          <br /> <b>inplace</b>: Default to false.</p>
-        <p>}</p>
+        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -32,11 +30,13 @@ danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource
 
 **Returns:**
 
+       ****return **Null**
+
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
+New columns get added at the end of the DataFrame, and this happens  so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,11 +53,12 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -111,11 +112,12 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -124,6 +126,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 8445c35..3e1318e 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -37,9 +37,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 
 **Returns:**
 
-```text
-   ****return **DataFrame**
-```
+       ****return **DataFrame**
 
 ## **Examples**
 
@@ -48,6 +46,7 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -60,11 +59,12 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -73,6 +73,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -117,11 +118,12 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
-```text
+```
 
 ```
 {% endtab %}
@@ -130,6 +132,7 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -156,5 +159,5 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md).
+**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index 692b225..b74b5da 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -22,7 +22,7 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Top-level dealing with datetime
 
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime. |
+| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
 | :--- | :--- |
 | [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 54fc0ae..1cb3b8f 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -17,24 +17,18 @@ danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/dan
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">Series or Dataframe</td>
-      <td style="text-align:left">The data to dummify</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
       <td style="text-align:left">Object</td>
       <td style="text-align:left">
         <p>{</p>
-        <p><b>columns</b>: Array of column names to dummify. If not specified, all
-          categorical columns are encoded.</p>
-        <p><b>prefixSeparator</b>: String separator for created columns e.g &quot;_&quot;,</p>
+        <p><b>data</b>: Array | Series | DataFrame</p>
+        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
         <p><b>prefix</b>: String | Array of String, of column names</p>
+        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
         <p>}</p>
       </td>
-      <td style="text-align:left">{<b>prefixSeparator</b>: &quot;_&quot;}</td>
+      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
     </tr>
   </tbody>
 </table>
@@ -55,7 +49,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
 dum_df.print()
 ```
 {% endtab %}
@@ -71,19 +65,19 @@ dum_df.print()
 {% tab title="Output" %}
 ```text
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -102,7 +96,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df)
+let dum_df = dfd.get_dummies({ data: df })
 dum_df.print()
 ```
 {% endtab %}
@@ -165,7 +159,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 5251d48..752a196 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)\]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 43b2476..5e66567 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -6,7 +6,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
 > z = \(x - u\) / s
 
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 4077198..2e7c0a3 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,10 +1,10 @@
 ---
-description: Converts an array of Date time string to Date object.
+description: Convert Object to datetime format
 ---
 
 # danfo.to\_datetime
 
-danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
 
 <table>
   <thead>
@@ -17,12 +17,15 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><b>data</b>
+      <td style="text-align:left"><b>kwargs</b>
       </td>
-      <td style="text-align:left">Array, Series</td>
+      <td style="text-align:left">Object</td>
       <td style="text-align:left">
-        <p><b>data</b>: Array | Series with Date strings to convert to Date time.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
+        <p>{</p>
+        <p><b>data</b>: Array | Series, the object to convert.</p>
+        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
+          and &quot;%m-d-Y H%M%S%&quot;</p>
+        <p>}</p>
       </td>
       <td style="text-align:left"></td>
     </tr>
@@ -35,16 +38,14 @@ danfo.**to\_datetime**\(data\) \[[source](https://github.com/opensource9ja/danfo
 
 ## **Examples**
 
-Converts a **Series** of Date strings to Date time and get time properties
+### **Convert Series to Dummy codes**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime({data:sf})
+let dt = dfd.to_datetime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -64,99 +65,85 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
 //Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 3                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╚═══╧══════════════════════╝
 
 //string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Jan                  ║
+╟───┼──────────────────────╢
+║ 1 │ Feb                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mar                  ║
+╟───┼──────────────────────╢
+║ 3 │ Apr                  ║
+╟───┼──────────────────────╢
+║ 4 │ May                  ║
+╚═══╧══════════════════════╝
 
 //string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Mon                  ║
+╟───┼──────────────────────╢
+║ 1 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 2 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 3 │ Sun                  ║
+╟───┼──────────────────────╢
+║ 4 │ Tue                  ║
+╚═══╧══════════════════════╝
+
+//Int representation for day of the week
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 2                    ║
+╚═══╧══════════════════════╝
 //Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
 
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 0                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
 
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f015c6e..f071ac9 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,5 +1,7 @@
 ---
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
+description: >-
+  Functions and methods to easily read tabular/structured data into DataFrame
+  and Series Objects
 ---
 
 # Input/Output
@@ -9,11 +11,8 @@ description: Functions for reading tabular/structured data into DataFrame/Series
 | \`\` |  |
 | :--- | :--- |
 | [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xlsx\) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
 | [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
-| [to\_csv](danfo.to_csv.md) | Writes a DataFrame/Series to CSV file |
-| [to\_excel](danfo.to_excel.md) | Writes a DataFrame/Series to Excel file |
-| [to\_json](danfo.to_json.md) | Writes a DataFrame/Series to JSON file |
 
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects \(e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md)\)
+Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 570c7c3..d1ab8f8 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -20,15 +20,11 @@ description: >-
   </thead>
   <tbody>
     <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">File object, File path, URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL or a valid
-          local file path.</p>
-        <p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is
-          also supported.</p>
-      </td>
+      <td style="text-align:left"><em><b>source</b></em>:</td>
+      <td style="text-align:left">str, path or URL</td>
+      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
+        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
+        are only accepted in Nodejs environment.</td>
       <td style="text-align:left"></td>
     </tr>
     <tr>
@@ -36,16 +32,15 @@ description: >-
       <td style="text-align:left">object, optional</td>
       <td style="text-align:left">
         <p></p>
-        <p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>.</p>
-        <p>&lt;b&gt;&lt;/b&gt;</p>
-      </td>
-      <td style="text-align:left">
-        <p><b>{</b>
+        <p>A CSV Config object that contains configurations for reading and decoding
+          from CSV file(s). Supported params are:</p>
+        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
+        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
+        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
+          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
         </p>
-        <p><b>dynamicTyping: </b>true,</p>
-        <p><b>header: </b>true</p>
-        <p>}</p>
       </td>
+      <td style="text-align:left"></td>
     </tr>
   </tbody>
 </table>
@@ -54,18 +49,16 @@ description: >-
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_csv** method can read a CSV file from a local disk, or over the internet \(URL\). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
+### Example
 
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
+The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
+dfd.read_csv("user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -75,9 +68,45 @@ dfd.read_csv("./user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                //do something like display descriptive statistics
+                df.describe().print()
+                
+            }).catch(err => {
+                console.log(err);
+            })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
 {% endtabs %}
 
-### **Reading files from a URL**
+**Loading Files from URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -105,8 +134,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -134,11 +163,29 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-### **Reading an input file object in the browser**
+**Reading Large Files**
+
+For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
 
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
+**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
 
 {% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_process_data() {
+  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
+  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
+
+  df_chunk1.head().print()
+  df_chunk2.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -147,27 +194,100 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-    <input type="file" id="file" name="file">
+
+    <div id="plot_div"></div>
     <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
+
+
+        async function run(start, end) {
+            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+            let df = await dfd.read_csv(data_url, { start, end })
+            console.log(df.shape)
+            df.head().print()
+        }
+
+        run(0, 5)
+        run(5, 10)
+
     </script>
 </body>
 
 </html>
 
+<!
+Output in console
+
+[5, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+[10, 11]
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+>
+
 ```
 {% endtab %}
 {% endtabs %}
 
+```bash
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+
+
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index a8165d2..d8e3d9e 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -26,11 +26,14 @@ description: Reads an excel file into DataFrame.
 >       <td style="text-align:left">
 >         <p>{</p>
 >         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.
->           <br /><b>method</b>: The HTTP method to use.</p>
->         <p><b>headers</b>: Additional headers to send with the request if reading
->           JSON from remote url. Supports all the node-fetch options in Nodejs, and
->           all fetch options in browsers.</p>
+>           Default will be the first sheet.</p>
+>         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
+>           The Index of the row which represents the header(columns) of the data.
+>           Default will be the first non empty row.</p>
+>         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
+>           index of the row from which actual data(content) starts. Default will be
+>           the next row of <code>header_index</code>
+>         </p>
 >         <p>}</p>
 >       </td>
 >     </tr>
@@ -43,15 +46,14 @@ description: Reads an excel file into DataFrame.
 
 ### Example
 
-The **read\_excel** method can read excel files saved on a local disk, or over the internet.
+The **read\_excel** method can read excel files saved from local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
-const path = require("path")
 
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+local_xcel = 'testexcel.xls'
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 2e978c3..49528d0 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -6,85 +6,24 @@ description: Reads a JSON file into DataFrame.
 
 > danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">Input file object, string file<b> </b>path or URL</td>
-      <td style="text-align:left">
-        <p>Any valid string path is acceptable. The string could be a URL. Valid
-          URL schemes include http, https, ftp, s3, gs, or a local path. Both relative
-          and absolute paths are supported</p>
-        <p></p>
-        <p>An input file object is also supported in the browser.</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Configuration options for reading JSON files. Supported options:</p>
-        <p>{
-          <br /><code>method</code>: The HTTP method to use.</p>
-        <p><code>headers</code>: Additional headers to send with the request if reading
-          JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in
-          Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in
-          browsers.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b>method</b>: &quot;GET&quot;
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
+| **Parameters** | Type | Description |
+| :--- | :--- | :--- |
+| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
 
 **Returns:**
 
      ****_**Promise**_. Resolves to DataFrame
 
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+### Example
 
-### **Reading JSON files from local disk**
+The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+dfd.read_json("user_names.json")
   .then(df => {
   
    df.head().print()
@@ -97,70 +36,6 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 
 {% tab title="Browser" %}
 ```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
 
 ```
 {% endtab %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 9fd06ff..e412af9 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29%20%282%29.png)
+![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index b9d73a8..397b480 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
 
 ```markup
 <!DOCTYPE html>
@@ -44,11 +44,12 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-
+         
     </script>
 </body>
 
 </html>
+
 ```
 
 ![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index 8886e37..cc25049 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -18,7 +18,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.dtype`](series.dtype.md) | Return the dtype object of the underlying data. |
 | [`Series.shape`](series.shape.md) | Return a tuple of the shape of the underlying data. |
 | [`Series.ndim`](series.ndim.md) | Number of dimensions of the underlying data, by definition 1. |
-| [`Series.size`]() | Return the number of elements in the underlying data. |
+| [`Series.size`](series.size.md) | Return the number of elements in the underlying data. |
 
 ### Conversion
 
@@ -49,7 +49,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.ge`](series.ge.md) | Return Greater than or equal to of series and other, element-wise \(binary operator ge\). |
 | [`Series.ne`](series.ne.md) | Return Not equal to of series and other, element-wise \(binary operator ne\). |
 | [`Series.eq`](series.eq.md) | Return Equal to of series and other, element-wise \(binary operator eq\). |
-| [`Series.dot`]() | Compute the dot product between the Series and the columns of other. |
+| [`Series.dot`](series.dot.md) | Compute the dot product between the Series and the columns of other. |
 
 ### Function application & GroupBy
 
@@ -61,7 +61,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 | [`Series.abs`](series.abs.md) | Return a Series with absolute numeric value of each element. |
 | :--- | :--- |
-| [`Series.corr`]() | Compute correlation with other Series, excluding missing values. |
+| [`Series.corr`](series.corr.md) | Compute correlation with other Series, excluding missing values. |
 | [`Series.count`](series.count.md) | Return number of non-NaN observations in the Series. |
 | [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
 | [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index c241eae..db9a8b4 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,31 +4,9 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
+> danfo.Series.**abs**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Boolean indicating whether to perform the operation in-place
-        or not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters**: None
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.add.md b/api-reference/series/series.add.md
index 9632650..edde21c 100644
--- a/api-reference/series/series.add.md
+++ b/api-reference/series/series.add.md
@@ -4,37 +4,11 @@ description: 'Return Addition of series and other, element-wise (binary operator
 
 # Series.add
 
-> danfo.Series.add\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.add\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\| | values  |  |
 
 **Return:** Series
 
diff --git a/api-reference/series/series.apply.md b/api-reference/series/series.apply.md
index 9d0407b..f32717f 100644
--- a/api-reference/series/series.apply.md
+++ b/api-reference/series/series.apply.md
@@ -1,40 +1,14 @@
 ---
-description: Invoke a function on each value in a Series.
+description: invoke a function on Series Value
 ---
 
 # Series.apply
 
-> danfo.series.**apply**\(callable, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">callable</td>
-      <td style="text-align:left">Function</td>
-      <td style="text-align:left">Function (can be anonymous) to apply</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function | Function \(can be anonymous\) to apply |  |
 
 **Returns:**
 
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 8926e7f..29c19e3 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -4,30 +4,11 @@ description: Return the integer indices that would sort the Series values
 
 # Series.argsort
 
-> danfo.Series.**argsort**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
+> danfo.Series.**argsort**\(ascending\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>ascending</b>: How to sort the indices</td>
-      <td style="text-align:left">
-        <p>{
-          <br /><b>ascending</b>: true</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| ascending | boolean | How to sort the indices. either **True** or **False** | true |
 
 **Returns:**  Series \(int element\)
 
@@ -41,9 +22,7 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
+sf.argsort().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -70,25 +49,6 @@ sf.argsort({ ascending: false }).print()
 ╟───┼──────────────────────╢
 ║ 7 │ 1                    ║
 ╚═══╧══════════════════════╝
-
-//sorted in descending order
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 6 ║
-╟───┼───╢
-║ 2 │ 4 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╟───┼───╢
-║ 6 │ 0 ║
-╟───┼───╢
-║ 7 │ 3 ║
-╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.copy.md b/api-reference/series/series.copy.md
index 73220c4..323fb47 100644
--- a/api-reference/series/series.copy.md
+++ b/api-reference/series/series.copy.md
@@ -1,5 +1,5 @@
 ---
-description: Makes a deep copy of a Series
+description: Make a new copy of a Series
 ---
 
 # Series.copy
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 78422ea..201ae11 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -4,31 +4,11 @@ description: Returns cumulative maximum over a series
 
 # Series.cummax
 
-> danfo.Series.**cummax**\(options\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)\]
+> danfo.Series.**cummax**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L825)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index d368c0c..f2337a8 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -4,31 +4,11 @@ description: Returns the cumulative min of a Series
 
 # Series.cummin
 
-> danfo.Series.**cummin**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)\]
+> danfo.Series.**cummin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L816)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 41c2898..6b72547 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -4,31 +4,11 @@ description: Return the cumulative product of a series
 
 # Series.cumprod
 
-> danfo.Series.**cumprod**\(\)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)\]
+> danfo.Series.**cumprod**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L834)\]
 
-> <table>
->   <thead>
->     <tr>
->       <th style="text-align:left">Parameters</th>
->       <th style="text-align:left">Type</th>
->       <th style="text-align:left">Description</th>
->       <th style="text-align:left">Default</th>
->     </tr>
->   </thead>
->   <tbody>
->     <tr>
->       <td style="text-align:left">options</td>
->       <td style="text-align:left">Object</td>
->       <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
->       <td
->       style="text-align:left">
->         <p>{</p>
->         <p><b>inplace</b>: false</p>
->         <p>}</p>
->         </td>
->     </tr>
->   </tbody>
-> </table>
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index db8021c..205d777 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -4,31 +4,11 @@ description: Return a cumulative sum of a series
 
 # Series.cumsum
 
-> danfo.Series.**cumsum**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**cumsum**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L807)\]
+
+**Parameters:** None
+
+**Return**: Series
 
 **Example**
 
diff --git a/api-reference/series/series.div.md b/api-reference/series/series.div.md
index 495eba5..4dd4fd0 100644
--- a/api-reference/series/series.div.md
+++ b/api-reference/series/series.div.md
@@ -6,37 +6,12 @@ description: >-
 
 # Series.div
 
-> danfo.Series.div\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)\]
+> danfo.Series.div\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\| | values  |  |
+| round | bool | specify if to round off the floating number | true |
 
 **Return:** Series
 
@@ -76,7 +51,7 @@ sf1.div(sf2).print()
 {% endtab %}
 {% endtabs %}
 
-### divide with a value
+divide with a value
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index eae885c..d5fd7e2 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -4,39 +4,18 @@ description: Remove duplicate rows
 
 # Series.drop\_duplicates
 
-> danfo.Series.**drop\_duplicates**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>keep</b>: &quot;first&quot; | &quot;last&quot;, which duplicate value
-        to keep. Defaults to &quot;first&quot;.
-        <br /><b>inplace</b>: Boolean indicating whether to perform the operation in-place
-        or not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**drop\_duplicates**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+| kwargs\["**keep**"\] | String | {"**first**"or "**last**"}. Specify if to keep the last or the first duplicate value  | first |
 
 **Returns:** Series
 
 **Examples**
 
-### Drop duplicate by keeping the first occurrence of the duplicate value
+Drop duplicate by keeping the first value of the duplicate value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -72,7 +51,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop duplicate and keep only the last duplicated value
+Drop duplicate and keep only the last duplicated value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -108,7 +87,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Remove duplicate value in-place
+Remove duplicate value in series without returning a new series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 8e3a4be..6fa1100 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -4,37 +4,17 @@ description: Remove missing values from Series
 
 # Series.dropna
 
-> danfo.Series.**dropna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{
-          <br />inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**dropna**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
 
 **Returns**: Series
 
 **Examples**
 
-### Drop all nan value and then return New Series.
+Drop all nan value and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -72,7 +52,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop nan values in-place
+Drop nan values without returning new series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 3e4fd5c..09334c1 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -17,7 +17,7 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
 let sf = new dfd.Series(data)
 
 sf.dt.day().print()
@@ -32,26 +32,26 @@ sf.dt.day().print()
 {% endtabs %}
 
 ```text
-╔═══╤═══╗
-║ 0 │ 6 ║
-╟───┼───╢
-║ 1 │ 0 ║
-╟───┼───╢
-║ 2 │ 1 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 4 ║
-╟───┼───╢
-║ 6 │ 5 ║
-╟───┼───╢
-║ 7 │ 6 ║
-╟───┼───╢
-║ 8 │ 0 ║
-╟───┼───╢
-║ 9 │ 1 ║
-╚═══╧═══╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╟───┼──────────────────────╢
+║ 5 │ 4                    ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 8b9287f..1243049 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -22,7 +22,7 @@ let sf = new dfd.Series(data)
 // print series
 sf.print()
 // print hour series
-sf.dt.hours().print()
+sf.dt.hour().print()
 ```
 {% endtab %}
 
@@ -37,17 +37,21 @@ sf.dt.hours().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 2:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╚═══╧═══╝
-
+//print hour series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index a1b449f..0e6dedb 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -32,18 +32,20 @@ sf.dt.month().print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 6  ║
-╟───┼────╢
-║ 1 │ 7  ║
-╟───┼────╢
-║ 2 │ 9  ║
-╟───┼────╢
-║ 3 │ 9  ║
-╟───┼────╢
-║ 4 │ 11 ║
-╟───┼────╢
-║ 5 │ 11 ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 7                    ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 9                    ║
+╟───┼──────────────────────╢
+║ 4 │ 11                   ║
+╟───┼──────────────────────╢
+║ 5 │ 11                   ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index b137205..82a7d3c 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -37,6 +37,8 @@ sf.dt.month_name().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2018, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 2/1/2018, 1:00:00 AM ║
@@ -44,13 +46,16 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═════╗
-║ 0 │ Jan ║
-╟───┼─────╢
-║ 1 │ Feb ║
-╟───┼─────╢
-║ 2 │ Mar ║
-╚═══╧═════╝
+//print month name series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Jan                  ║
+╟───┼──────────────────────╢
+║ 1 │ Feb                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mar                  ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index e52c916..1c7e556 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -37,6 +37,8 @@ sf.dt.monthday().print()
 {% tab title="Output" %}
 ```text
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/2/2000, 1:00:00 AM ║
@@ -44,13 +46,16 @@ sf.dt.monthday().print()
 ║ 2 │ 1/3/2000, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╚═══╧═══╝
+//print monthdays
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index 5925e40..e6fd771 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -25,7 +25,7 @@ let sf = new dfd.Series(data)
 sf.print()
 
 //print the seconds obtained
-sf.dt.seconds().print()
+sf.seconds().print()
 ```
 {% endtab %}
 
@@ -41,6 +41,8 @@ sf.dt.seconds().print()
 ```text
 
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 1:00:01 AM ║
@@ -48,13 +50,16 @@ sf.dt.seconds().print()
 ║ 2 │ 1/1/2000, 1:00:02 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤═══╗
-║ 0 │ 0 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╚═══╧═══╝
+//the seconds obtained
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╚═══╧══════════════════════╝
 
 ```
 {% endtab %}
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index 64945fa..dc79e6c 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -34,48 +34,49 @@ sf.dt.weekdays().print()
 {% endtabs %}
 
 ```text
-╔═══╤════════════════════════╗
-║ 0 │ 12/31/2016, 1:00:00 AM ║
-╟───┼────────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 9 │ 1/9/2017, 1:00:00 AM   ║
-╚═══╧════════════════════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12/31/2016, 1:00:... ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM ║
+╚═══╧══════════════════════╝
 
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
+//print days of the week
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Sat                  ║
+╟───┼──────────────────────╢
+║ 1 │ Sun                  ║
+╟───┼──────────────────────╢
+║ 2 │ Mon                  ║
+╟───┼──────────────────────╢
+║ 3 │ Tue                  ║
+╟───┼──────────────────────╢
+║ 4 │ Wed                  ║
+╟───┼──────────────────────╢
+║ 5 │ Thu                  ║
+╟───┼──────────────────────╢
+║ 6 │ Fri                  ║
+╟───┼──────────────────────╢
+║ 7 │ Sat                  ║
+╟───┼──────────────────────╢
+║ 8 │ Sun                  ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index c6a4040..a594255 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -28,6 +28,8 @@ sf.dt.year().print()
 ```text
 //print date time series
 ╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2001, 1:00:00 AM ║
@@ -35,12 +37,15 @@ sf.dt.year().print()
 ║ 2 │ 1/1/2002, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤══════╗
-║ 0 │ 2000 ║
-╟───┼──────╢
-║ 1 │ 2001 ║
-╟───┼──────╢
-║ 2 │ 2002 ║
-╚═══╧══════╝
+//print the year series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2000                 ║
+╟───┼──────────────────────╢
+║ 1 │ 2001                 ║
+╟───┼──────────────────────╢
+║ 2 │ 2002                 ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 9e8a9c3..341dbb9 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -8,7 +8,7 @@ description: Check all the values in a series is equal to another value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number |  value to compare |  |
+| other | Series**\|** int\|String\|float |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index f14e5d3..b1bea1b 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -4,38 +4,18 @@ description: Replace all NaN value with specified value
 
 # Series.fillna
 
-> danfo.Series.**fillna**\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p><b>value</b>: The value to replace all missing value with.</p>
-        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
-          or not. Defaults to false</p>
-      </td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**fillna**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**value**"\] | int \| String\| bool | value to replace the NaN values |  |
+| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+
+**Returns:**  Series
 
 **Examples**
 
-### Fill nan value and then return new series
+Fill nan value and then return new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -82,7 +62,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Fill nan value in-place
+Fill nan value without returning new Series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index a7c0ead..b3d8b69 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean element\)
 
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index 98eb444..a98f618 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -8,7 +8,7 @@ description: Check if all the value in a series is greater than a value
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index 195677a..e580803 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -4,7 +4,7 @@ danfo.Series.**iloc**\(\) \[[source](https://github.com/opensource9ja/danfojs/bl
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
+| rows | Array | Array, slice or index of row position to return |  |
 
 **Returns:**
 
@@ -18,10 +18,9 @@ Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
-* A boolean mask. E.g \[ true, false, false \]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only ****the start label is included, and the end label is ignored._ 
+_**Note:** only ****the start label is included._
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -31,6 +30,7 @@ _**Note:** only ****the start label is included, and the end label is ignored._
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+// const tf = require("@tensorflow/tfjs-node")
 
 
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
@@ -62,7 +62,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[0: 5\]". This will return all values from index positions 0 to 4. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -136,27 +136,5 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition 
 
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
 
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index 0dde01a..e9056d7 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -8,7 +8,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns:** Series \(Boolean Element\)
 
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index 73c45d1..bb18486 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -8,7 +8,7 @@ description: Check if all values in a Series are less than a value.
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number | value\(s\) to compare |  |
+| other | Series**\|** int\|float | value\(s\) to compare |  |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.map.md b/api-reference/series/series.map.md
index c992de7..1071a1f 100644
--- a/api-reference/series/series.map.md
+++ b/api-reference/series/series.map.md
@@ -1,51 +1,25 @@
 ---
-description: Map the value of a series to a function or Object
+description: Map the value of a series to it representation
 ---
 
 # Series.map
 
 > danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameter</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">callable</td>
-      <td style="text-align:left">Function or Object</td>
-      <td style="text-align:left">A function or object({})</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameter | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function or Object | callable can either be a function or an object\({}\) |  |
 
 **Example**
 
-Mapping the element in a Series  words in an Object
+Mapping the element in a Series to a word
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let sf = new dfd.Series([1, 2, 3, 4])
+let sf = new dfd.Series([1,2,3,4])
 let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
 sf.map(map).print()
 
diff --git a/api-reference/series/series.mod.md b/api-reference/series/series.mod.md
index 1dee05d..59a0320 100644
--- a/api-reference/series/series.mod.md
+++ b/api-reference/series/series.mod.md
@@ -4,37 +4,11 @@ description: 'Return Modulo of series and other, element-wise (binary operator m
 
 # Series.mod
 
-> danfo.Series.mod\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)\]
+> danfo.Series.mod\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|float</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\|float | values  |  |
 
 **Return:** Series
 
diff --git a/api-reference/series/series.mul.md b/api-reference/series/series.mul.md
index 463d52e..855173b 100644
--- a/api-reference/series/series.mul.md
+++ b/api-reference/series/series.mul.md
@@ -4,37 +4,11 @@ description: 'Return Multiplication of series and other, element-wise (binary op
 
 # Series.mul
 
-> danfo.Series.mul\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.mul\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\| | values  |  |
 
 **Return:** Series
 
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index fcf182a..9901dcd 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -8,7 +8,7 @@ description: Check if all values in a  series is not equal to a value(s)
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| other | Series, Array or number |  value to compare |  |
+| other | Series**\|** int\|String\|float |  value to compare |  |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 42f678d..8ddafe4 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -1,5 +1,5 @@
 ---
-description: Returns the number of unique values in a series
+description: Obtain the number of unique values in a series
 ---
 
 # Series.nunique
diff --git a/api-reference/series/series.pow.md b/api-reference/series/series.pow.md
index e113ffe..6a67b3b 100644
--- a/api-reference/series/series.pow.md
+++ b/api-reference/series/series.pow.md
@@ -6,37 +6,11 @@ description: >-
 
 # Series.pow
 
-> danfo.Series.pow\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)\]
+> danfo.Series.pow\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\| | values  |  |
 
 **Return:** Series
 
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index cf1dd06..4b49fa2 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,41 +4,19 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**\(options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p> <b>oldValue</b>: The value you want to replace</p>
-        <p><b>newValue</b>: The new value you want to replace the old value with</p>
-        <p><b>inplace</b>: Boolean indicating whether to perform the operation inplace
-          or not</p>
-      </td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.**replace**\(kwargs\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["**replace**"\] | int \| String\| bool | value to be replaced |  |
+| kwargs\["**with**"\] | int \| String \| bool | value to replace the previous value |  |
+| kwargs\["**inplace**"\] | Bool | mutate the series or create the new series | false |
 
 **Returns**: Series
 
 **Examples**
 
-### Replace a value in a series and return a new series
+Replace a value in a series and return a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -47,7 +25,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
+let sf_rep = sf.replace({ replace: 10, with: -50 })
 
 sf_rep.print()
 ```
@@ -57,27 +35,28 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -50                  ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ -50                  ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Replace a value in-place
+Replace a value in a series , with out returning a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -86,7 +65,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
+sf.replace({ replace: 10, with: -50, inplace:true })
 
 sf.print()
 ```
@@ -94,21 +73,22 @@ sf.print()
 {% endtabs %}
 
 ```text
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -50                  ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ -50                  ║
+╚═══╧══════════════════════╝
 ```
 
diff --git a/api-reference/series/series.reset_index.md b/api-reference/series/series.reset_index.md
index 620904c..e03ea87 100644
--- a/api-reference/series/series.reset_index.md
+++ b/api-reference/series/series.reset_index.md
@@ -4,28 +4,66 @@ description: Reset the index of a series.
 
 # Series.reset\_index
 
-> danfo.series.reset\_index\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
+> danfo.series.reset\_index\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
+
+Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| options | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
+| kwargs | Object | kwargs is an object {} with key **inplace** with a boolean value. e.g {inplace: false} | inplace:false |
 
 **Returns :** Series
 
-`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let sf = new dfd.Series(data)
+let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
+let sf_reset = sf_new.reset_index()
+sf_reset.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
 
-### **Reset index to default values**
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ {"alpha":"A","cou... ║
+╟───┼──────────────────────╢
+║ 1 │ {"alpha":"B","cou... ║
+╟───┼──────────────────────╢
+║ 2 │ {"alpha":"C","cou... ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-let data = [20, 30, 40]
-let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
-sf.print()
 
+let data = [1,2,3,4,5,6]
+let sf = new dfd.Series(data)
+
+sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
 let sf_reset = sf.reset_index()
 sf_reset.print()
+
 ```
 {% endtab %}
 
@@ -39,37 +77,38 @@ sf_reset.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════╗
-║ a │ 20 ║
-╟───┼────╢
-║ b │ 30 ║
-╟───┼────╢
-║ c │ 40 ║
-╚═══╧════╝
-
-╔═══╤════╗
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 2 │ 40 ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 6                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Reset index to new values in-place
+Reset index without returning a new Series
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
-sf.print()
+const dfd = require("danfojs-node")
 
-sf.reset_index({ inplace: true })
-sf.print()
+let data = [1,2,3,4,5,6]
+let sf = new dfd.Series(data)
 
+sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+sf.reset_index({"inplace":true})
+sf.print()
 ```
 {% endtab %}
 
@@ -83,33 +122,21 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╟───┼───╢
-║ f │ 6 ║
-╚═══╧═══╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 4 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 6 ║
-╚═══╧═══╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 6                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.round.md b/api-reference/series/series.round.md
index acb6726..3dcc39f 100644
--- a/api-reference/series/series.round.md
+++ b/api-reference/series/series.round.md
@@ -4,37 +4,11 @@ description: round off floating values in series
 
 # Series.round
 
-> danfo.Series.round\(dp, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)\]
+> danfo.Series.round\(dp\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">dp</td>
-      <td style="text-align:left">int</td>
-      <td style="text-align:left">decimal place to round off to</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| dp | int | decimal place to round off to |  |
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.sample.md b/api-reference/series/series.sample.md
index 7e91ca4..4ab195e 100644
--- a/api-reference/series/series.sample.md
+++ b/api-reference/series/series.sample.md
@@ -6,36 +6,10 @@ description: Return a random sample of items from an axis of object.
 
 > danfo.Series.sample\(num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">num</td>
-      <td style="text-align:left">Int</td>
-      <td style="text-align:left">The number of rows to return.</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>seed</b>: An integer specifying the random seed that will be used to
-        create the distribution. Ensures reproducibility of generated samples.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p>seed: 1</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| num | Int | The number of rows to return. Defaults to -1, which shuffles and return all rows.  | -1 |
+| seed | int | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1 |
 
 **Returns:**
 
@@ -59,34 +33,20 @@ load_data()
 {% tabs %}
 {% tab title="Output" %}
 ```javascript
-╔═══╤════╗
-║ 2 │ 3  ║
-╟───┼────╢
-║ 4 │ 5  ║
-╟───┼────╢
-║ 0 │ 1  ║
-╟───┼────╢
-║ 7 │ 40 ║
-╟───┼────╢
-║ 6 │ 30 ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 7 │ 40                   ║
+╟───┼──────────────────────╢
+║ 6 │ 30                   ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Specify a seed when sampling
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-    let sf1 = new dfd.Series(data1);
-    let sample = await sf1.sample(5, { seed: 2 })
-    sample.print()
-
-}
-load_data()
-
-```
-
diff --git a/api-reference/series/series.set_index.md b/api-reference/series/series.set_index.md
index 57abe40..91adf23 100644
--- a/api-reference/series/series.set_index.md
+++ b/api-reference/series/series.set_index.md
@@ -4,37 +4,12 @@ description: Assign new Index to Series
 
 # Series.set\_index
 
-> danfo.series.**set\_index\(**options**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameter</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">index</td>
-      <td style="text-align:left">Array</td>
-      <td style="text-align:left">new index values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["index"\] | Array | index to replace the former index  |  |
+| kwargs\["inplace"\] | Boolean | return new series or not | false |
 
 **Returns:** Series
 
@@ -44,10 +19,9 @@ description: Assign new Index to Series
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
 let sf = new dfd.Series(data)
-sf.print()
-
 let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
 sf_new.print()
 ```
@@ -63,21 +37,15 @@ sf_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═════════════════════════╗
-║ 0 │ {"alpha":"A","count":1} ║
-╟───┼─────────────────────────╢
-║ 1 │ {"alpha":"B","count":2} ║
-╟───┼─────────────────────────╢
-║ 2 │ {"alpha":"C","count":3} ║
-╚═══╧═════════════════════════╝
-
-╔═══════╤═════════════════════════╗
-║ one   │ {"alpha":"A","count":1} ║
-╟───────┼─────────────────────────╢
-║ two   │ {"alpha":"B","count":2} ║
-╟───────┼─────────────────────────╢
-║ three │ {"alpha":"C","count":3} ║
-╚═══════╧═════════════════════════╝
+╔═══════╤══════════════════════╗
+║       │ 0                    ║
+╟───────┼──────────────────────╢
+║ one   │ {"alpha":"A","cou... ║
+╟───────┼──────────────────────╢
+║ two   │ {"alpha":"B","cou... ║
+╟───────┼──────────────────────╢
+║ three │ {"alpha":"C","cou... ║
+╚═══════╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -121,16 +89,16 @@ sf_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Set index in-place
+set index without creating a new series by using `inplace = true`
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs")
 
-let data = [1, 2, 3, 4, 5, 6]
+let data = [1,2,3,4,5,6]
 let sf = new dfd.Series(data)
-sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
+sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
 sf.print()
 ```
 {% endtab %}
@@ -145,20 +113,21 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══════╤═══╗
-║ one   │ 1 ║
-╟───────┼───╢
-║ two   │ 2 ║
-╟───────┼───╢
-║ three │ 3 ║
-╟───────┼───╢
-║ four  │ 4 ║
-╟───────┼───╢
-║ five  │ 5 ║
-╟───────┼───╢
-║ six   │ 6 ║
-╚═══════╧═══╝
-
+╔═══════╤══════════════════════╗
+║       │ 0                    ║
+╟───────┼──────────────────────╢
+║ one   │ 1                    ║
+╟───────┼──────────────────────╢
+║ two   │ 2                    ║
+╟───────┼──────────────────────╢
+║ three │ 3                    ║
+╟───────┼──────────────────────╢
+║ four  │ 4                    ║
+╟───────┼──────────────────────╢
+║ five  │ 5                    ║
+╟───────┼──────────────────────╢
+║ six   │ 6                    ║
+╚═══════╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.sort_values.md b/api-reference/series/series.sort_values.md
index 35012f7..54966ac 100644
--- a/api-reference/series/series.sort_values.md
+++ b/api-reference/series/series.sort_values.md
@@ -1,43 +1,21 @@
 ---
-description: Sorts a Series in ascending or descending order
+description: Sort a Series in ascending or descending order
 ---
 
 # Series.sort\_values
 
-> danfo.Series.sort\_values\(options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p><b>inplace</b>: Boolean indicating whether to perform the operation in-place
-          or not. Defaults to false</p>
-        <p><b>ascending</b>: Whether to return sorted values in ascending order or
-          not. Defaults to true</p>
-      </td>
-      <td style="text-align:left">
-        <p>{
-          <br />ascending: true,</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.sort\_values\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs\["inplace"\] | Boolean | return new series or not | false |
+| kwargs\["ascending"\] | Boolean | select if to sort by ascending or descending | true |
 
   **Return:** Series
 
-### Sort values in a Series 
+**Examples**
+
+Sort series values using the default settings
 
 {% tabs %}
 {% tab title="Node" %}
@@ -56,30 +34,32 @@ sf2.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 7 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 8 │ 4                    ║
+╟───┼──────────────────────╢
+║ 0 │ 20                   ║
+╟───┼──────────────────────╢
+║ 1 │ 30                   ║
+╟───┼──────────────────────╢
+║ 5 │ 57                   ║
+╟───┼──────────────────────╢
+║ 6 │ 89                   ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Sort Series in-place
+Sort series value without returning a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -88,7 +68,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
 let sf1 = new dfd.Series(data1)
-sf1.sort_values({ inplace: true })
+sf1.sort_values({ "inplace": true })
 
 sf1.print()
 ```
@@ -98,31 +78,32 @@ sf1.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 7 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 8 │ 4                    ║
+╟───┼──────────────────────╢
+║ 0 │ 20                   ║
+╟───┼──────────────────────╢
+║ 1 │ 30                   ║
+╟───┼──────────────────────╢
+║ 5 │ 57                   ║
+╟───┼──────────────────────╢
+║ 6 │ 89                   ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Sort Series values in descending order
+Sort series value in descending order
 
 {% tabs %}
 {% tab title="Node" %}
@@ -141,25 +122,27 @@ sf1.print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════╗
-║ 6 │ 89 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 7 │ 0  ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 6 │ 89                   ║
+╟───┼──────────────────────╢
+║ 5 │ 57                   ║
+╟───┼──────────────────────╢
+║ 1 │ 30                   ║
+╟───┼──────────────────────╢
+║ 0 │ 20                   ║
+╟───┼──────────────────────╢
+║ 8 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 7 │ 0                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.capitalize.md b/api-reference/series/series.str.capitalize.md
index 10483b3..5df261a 100644
--- a/api-reference/series/series.str.capitalize.md
+++ b/api-reference/series/series.str.capitalize.md
@@ -4,31 +4,9 @@ description: Capitalize the first character of each string
 
 # Series.str.capitalize
 
-> danfo.Series.str.**capitalize**\(options\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
+> danfo.Series.str.**capitalize**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.charat.md b/api-reference/series/series.str.charat.md
index 9cb1d66..3df2bbc 100644
--- a/api-reference/series/series.str.charat.md
+++ b/api-reference/series/series.str.charat.md
@@ -6,35 +6,9 @@ description: Obtain the character at the specified index (position)
 
 > danfo.Series.str.**charAt**\(index\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">index</td>
-      <td style="text-align:left">int</td>
-      <td style="text-align:left">the index at which to obtain the character</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| index | int | the index at which to obtain the character | 0 |
 
 **Returns**:  Series \(Character element\)
 
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index b27bc00..0a24597 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -4,46 +4,12 @@ description: Joins two or more strings/arrays
 
 # Series.str.concat
 
-> danfo.Series.str.**concat**\(other, position, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">string or Array</td>
-      <td style="text-align:left">string or list of strings to add to each string element of the series</td>
-      <td
-      style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">position</td>
-      <td style="text-align:left">Int</td>
-      <td style="text-align:left">The position to add the <b>other </b>(string or array) is either 0 or 1.
-        0 is to add the other at the beginning of each of the string element, and
-        1 is to add to the end of the string element</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.str.**concat**\(other, position\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | string or Array | string or list of strings to add to each string element of the series | "" |
+| position | Int | The position to add the **other** \(string or array\) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1  |
 
 **Returns:** Series \(String element\)
 
diff --git a/api-reference/series/series.str.endswith.md b/api-reference/series/series.str.endswith.md
index 18753cb..645294d 100644
--- a/api-reference/series/series.str.endswith.md
+++ b/api-reference/series/series.str.endswith.md
@@ -4,37 +4,11 @@ description: Checks whether a string ends with specified characters
 
 # Series.str.endsWith
 
-> danfo.Series.str.**endsWith**\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
+> danfo.Series.str.**endsWith**\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns**: Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.includes.md b/api-reference/series/series.str.includes.md
index cfa9c16..c2cb4af 100644
--- a/api-reference/series/series.str.includes.md
+++ b/api-reference/series/series.str.includes.md
@@ -4,37 +4,11 @@ description: Checks whether a string contains the specified string/characters
 
 # Series.str.includes
 
-> danfo.Series.str.includes\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
+> danfo.Series.str.includes\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns**: Series \(boolean element\)
 
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index fe93a74..a823d20 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -4,37 +4,11 @@ description: the position of the first found occurrence of a specified value in
 
 # Series.str.indexOf
 
-> danfo.Series.str.indexOf\(str, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
+> danfo.Series.str.indexOf\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the string to obtain its index</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the string to obtain its index | "" |
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index a32c1bb..4c17295 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -4,43 +4,12 @@ description: Join a new string value to all string elements in a Series.
 
 # Series.str.join
 
-> danfo.Series.str.**join**\(valToJoin, joinChar, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
+> danfo.Series.str.**join**\(valToJoin,joinChar\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">valToJoin</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">the string value you want to</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">joinChar</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">The delimiter to specify the joining</td>
-      <td style="text-align:left">&quot; &quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| valToJoin | String | the string value you want to  |  "" |
+| joinChar | String | The delimiter to specify the joining | " " |
 
 **Returns:**
 
@@ -69,15 +38,17 @@ sf.str.join("new", "_").print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤════════════════════════╗
-║ 0 │ lower part_new         ║
-╟───┼────────────────────────╢
-║ 1 │ CAPITALS city_new      ║
-╟───┼────────────────────────╢
-║ 2 │ this is a sentence_new ║
-╟───┼────────────────────────╢
-║ 3 │ SwAp CaSe_new          ║
-╚═══╧════════════════════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower part_new       ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS city_new    ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentenc... ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp CaSe_new        ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.lastindexof.md b/api-reference/series/series.str.lastindexof.md
index d2bfa98..130c50c 100644
--- a/api-reference/series/series.str.lastindexof.md
+++ b/api-reference/series/series.str.lastindexof.md
@@ -6,37 +6,11 @@ description: >-
 
 # Series.str.lastIndexOf
 
-danfo.Series.str.lastIndexOf\(str, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
+danfo.Series.str.lastIndexOf\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the string to search for | "" |
 
 **Returns**: Series
 
diff --git a/api-reference/series/series.str.len.md b/api-reference/series/series.str.len.md
index be82b70..60153e8 100644
--- a/api-reference/series/series.str.len.md
+++ b/api-reference/series/series.str.len.md
@@ -4,31 +4,13 @@ description: Obtain the length of each string element in a Series
 
 # Series.str.len
 
-> danfo.Series.str.**len**\(options\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
+> danfo.Series.str.**len**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters**: None
+
+**Returns:**
+
+      return Series
 
 **Examples**
 
@@ -39,7 +21,7 @@ Returns the length \(number of character\) of a string, and also return the leng
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = ["dog", 5,"cat","fog","mug","animals"]
+let data = ["dog", 5,"cat",["fog","mug"],"animals"]
 let sf = new dfd.Series(data)
 sf.str.len().print()
 ```
@@ -55,19 +37,19 @@ sf.str.len().print()
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╚═══╧═══╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ NaN                  ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 7                    ║
+╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index 2f1d49b..e6c1f32 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -4,37 +4,11 @@ description: Repeat the the character(s) in a string for a specified number of t
 
 # Series.str.repeat
 
-> danfo.Series.str.**repeat**\(num, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
+> danfo.Series.str.**repeat**\(num\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">num</td>
-      <td style="text-align:left">integer</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| num | integer | the string to search for | 1 |
 
 **Returns:**  Series
 
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index 0950071..c96137c 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,43 +4,12 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace\(searchValue, replaceValue, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
+> danfo.Series.str.replace\(searchValue, replaceValue\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">searchValue</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">String | Character value to replace. Supports regex.</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">replaceValue</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">string to replace the searched string</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| searchValue | string | the string to search for | "" |
+| replaceValue | String | string to replace the searched string | "" |
 
 **Returns:** Series
 
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 4367ae8..8824095 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -4,39 +4,13 @@ description: Obtain the index position of a searched  character in a String
 
 # Series.str.search
 
-> danfo.Series.str.**search**\(str, options\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
-
-
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">String</td>
-      <td style="text-align:left">the string to search for</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.str.**search**\(str\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
+
+
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | String | the string to search for | "" |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index e843eb8..d314066 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -4,43 +4,12 @@ description: Obtain the substring of each element in a series
 
 # Series.str.slice
 
-> danfo.Series.str.slice\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
+> danfo.Series.str.slice\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">endIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to end the substring</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| endIndex | Number | specify the index to end the substring | 1 |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 4b88313..65a82c7 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,12 +6,11 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**\(splitVal, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)\]
+> danfo.Series.str.**split**\(splitVal\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L250)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
 | splitVal | String | separator or delimiter used to split the string  | " " |
-| options | Object | **inplace**: Whether to perform operation in-place or not. | { inplace: false } |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index c141afd..311bb2f 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -4,37 +4,11 @@ description: Test whether a string begins with specified characters
 
 # Series.str.startsWith
 
-> danfo.Series.str.**startsWith**\(str, options\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
+> danfo.Series.str.**startsWith**\(str\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">str</td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">the character(s) to check</td>
-      <td style="text-align:left">&quot;&quot;</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| str | string | the character\(s\) to check | "" |
 
 **Returns:**  Series \(Boolean element\)
 
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index 8869806..1512f02 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -6,44 +6,12 @@ description: >-
 
 # Series.str.substr
 
-> danfo.Series.str.substr\(startIndex, num, options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
+> danfo.Series.str.substr\(startIndex, num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">num</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">The number of character to obtain starting from the startIndex</td>
-      <td
-      style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| num | Number | The number of character to obtain starting from the startIndex | 1 |
 
 **Returns:**
 
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 7515af0..73ab3a8 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -4,43 +4,12 @@ description: Obtain the substring of each element in a series
 
 # Series.str.substring
 
-> danfo.Series.str.**substring**\(startIndex, endIndex, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
+> danfo.Series.str.**substring**\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">startIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to start obtaining the substring</td>
-      <td style="text-align:left">0</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">endIndex</td>
-      <td style="text-align:left">Number</td>
-      <td style="text-align:left">specify the index to end the substring</td>
-      <td style="text-align:left">1</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| startIndex | Number | specify the index to start obtaining the substring | 0 |
+| endIndex | Number | specify the index to end the substring | 1 |
 
 **Returns**
 
diff --git a/api-reference/series/series.str.tolowercase.md b/api-reference/series/series.str.tolowercase.md
index 9dfb12f..ada457b 100644
--- a/api-reference/series/series.str.tolowercase.md
+++ b/api-reference/series/series.str.tolowercase.md
@@ -4,31 +4,11 @@ description: Converts all characters to lower case.
 
 # Series.str.toLowerCase
 
-> danfo.Series.str.toLowerCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
+> danfo.Series.str.toLowerCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
+
+**Returns**:  Series \(String element\)
 
 **Example**
 
diff --git a/api-reference/series/series.str.touppercase.md b/api-reference/series/series.str.touppercase.md
index 4f630ae..7e23c08 100644
--- a/api-reference/series/series.str.touppercase.md
+++ b/api-reference/series/series.str.touppercase.md
@@ -4,31 +4,9 @@ description: Converts all characters to uppercase.
 
 # Series.str.toUpperCase
 
-> danfo.Series.str.toUpperCase\(options\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
+> danfo.Series.str.toUpperCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns**:  Series \(String element\)
 
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index 181c004..7e30db5 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -4,31 +4,9 @@ description: Remove leading and trailing Whitespace from a String element
 
 # Series.str.trim
 
-> danfo.Series.str.**trim**\(options\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
+> danfo.Series.str.**trim**\(\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left"><b>inplace</b>: Whether to perform the operation in-place or not.</td>
-      <td
-      style="text-align:left">
-        <p>{</p>
-        <p><b>inplace</b>: false</p>
-        <p>}</p>
-        </td>
-    </tr>
-  </tbody>
-</table>
+**Parameters:** None
 
 **Returns:**
 
diff --git a/api-reference/series/series.sub.md b/api-reference/series/series.sub.md
index d9f1d7d..95da267 100644
--- a/api-reference/series/series.sub.md
+++ b/api-reference/series/series.sub.md
@@ -4,37 +4,11 @@ description: 'Return Subtraction of series and other, element-wise (binary opera
 
 # Series.sub
 
-> danfo.Series.sub\(other, options\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">other</td>
-      <td style="text-align:left">Series|int|</td>
-      <td style="text-align:left">values</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">inplace: Boolean indicating whether to perform the operation inplace or
-        not. Defaults to false</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p>inplace: false</p>
-        <p>}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+> danfo.Series.sub\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series\|int\| | values  |  |
 
 **Return:** Series
 
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 48b3b1c..66dd124 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -9,7 +9,9 @@ description: >-
 
 > The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
 
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
+
+
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -17,9 +19,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-## Setting up your environment
+### Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -29,9 +31,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):**
+**Update \(14th Feb 2021\):** 
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
+Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
 
 ```javascript
 npm install danfojs-node
@@ -44,7 +46,7 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-## Loading and processing your data
+### Loading and processing your data
 
 To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
@@ -52,11 +54,11 @@ Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-
+    
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-
-
+    
+    
 }
 ```
 
@@ -78,7 +80,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -108,7 +110,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -118,7 +120,7 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
@@ -136,6 +138,7 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -156,6 +159,7 @@ df.head().print()
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
 ```text
+
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -179,7 +183,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -189,7 +193,7 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
 
 ```text
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -246,11 +250,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-## Model Building With Tensorflow.js
+### Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
 
-Create a simple function called get\_model. This will construct and return a model when called.
+Create a simple function called get\_model. This will construct and return a model when called. 
 
 ```javascript
 function get_model() {
@@ -264,11 +268,12 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
 
 Next, you will create a function called _**train:**_
 
 ```javascript
+
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -280,7 +285,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-
+    
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -293,15 +298,15 @@ async function train() {
             }
         }
     });
-
+    
 }
 ```
 
 This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
+Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
 
-The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -388,6 +393,7 @@ node app.js
 This runs the script, and displays training progress after each Epoch as shown below:
 
 ```text
+
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -413,13 +419,13 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
 
 Go danfo! 😎
 
diff --git a/getting-started.md b/getting-started.md
index f5f99a2..273631b 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -80,9 +80,9 @@ const dfd = require("danfojs-node")
 {% endtab %}
 {% endtabs %}
 
-### Object creation
+### Creating a DataFrame/Series
 
-Creating a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting danfo.js create a default integer index:
+You can create a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting Danfo.js create a default integer index:
 
 {% tabs %}
 {% tab title="Node" %}

From 24ec3b84e9f1e346a7b2aa159bc2e526d3b554d6 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 16:01:58 +0000
Subject: [PATCH 027/202] GitBook: [master] 212 pages modified

---
 SUMMARY.md                                    |   1 +
 .../dataframe/creating-a-dataframe.md         |  57 +-
 api-reference/series/creating-a-series.md     | 172 ++++++
 getting-started.md                            | 559 ++++++++----------
 4 files changed, 474 insertions(+), 315 deletions(-)
 create mode 100644 api-reference/series/creating-a-series.md

diff --git a/SUMMARY.md b/SUMMARY.md
index 47af443..9752ec2 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -21,6 +21,7 @@
     * [danfo.to\_excel](api-reference/input-output/danfo.to_excel.md)
     * [danfo.to\_json](api-reference/input-output/danfo.to_json.md)
   * [Series](api-reference/series/README.md)
+    * [Creating a Series](api-reference/series/creating-a-series.md)
     * [Series.append](api-reference/series/series.append.md)
     * [Series.cumsum](api-reference/series/series.cumsum.md)
     * [Series.cummax](api-reference/series/series.cummax.md)
diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 29d0fc2..85a6d55 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -52,6 +52,61 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
+### Creating a `DataFrame` from an array of array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
+let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
 ### Creating a `DataFrame` from a 2D tensor
 
 {% tabs %}
@@ -122,7 +177,7 @@ df.ctypes.print()
 ╚═══╧══════════════════════╝
 ```
 
-### Creating a `DataFrame` from a dictionary of objects with the same length
+### Creating a `DataFrame` from an object
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
new file mode 100644
index 0000000..da079d5
--- /dev/null
+++ b/api-reference/series/creating-a-series.md
@@ -0,0 +1,172 @@
+# Creating a Series
+
+In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
+
+### Creating a Series from an object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```javascript
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series from an array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = ["bval1", "bval2", "bval3", "bval4"]
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series and specifying index and dtypes
+
+You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
+
+> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2, 3, 4, 5];
+let index = ["a", "b", "c", "d", "e"];
+let dtypes = ["int32",]
+
+let df = new Series(data1, { index, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╚═══╧═══╝
+```
+
+### Creating a Series and specifying memory mode
+
+To use less space on Series creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2.3, 3, 4, 5, "girl"];
+
+let df = new Series(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the Series.
+{% endhint %}
+
diff --git a/getting-started.md b/getting-started.md
index 273631b..a88f855 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,43 +8,27 @@ description: >-
 
 ## Installation
 
-There are three ways to install and use Danfo.js in your application
-
-For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
+There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
 
 ```text
 npm install danfojs-node
-
-or
-
-yarn add danfojs-node
-```
-
-For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
-
-```text
-npm install danfojs
-
-or
-
-yarn add danfojs
 ```
 
-For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1&path=lib):
+You can also install and use it in the browsers by using the CDN below:
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
+We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +45,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -80,9 +64,9 @@ const dfd = require("danfojs-node")
 {% endtab %}
 {% endtabs %}
 
-### Creating a DataFrame/Series
+### Object creation
 
-You can create a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting Danfo.js create a default integer index:
+Creating a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting danfo.js create a default integer index:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -130,7 +114,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ undefined            ║
+║ 3 │ NaN                  ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -184,15 +168,17 @@ s.print()
 {% endtabs %}
 
 ```text
-╔═══╤════╗
-║ 0 │ 12 ║
-╟───┼────╢
-║ 1 │ 34 ║
-╟───┼────╢
-║ 2 │ 56 ║
-╟───┼────╢
-║ 3 │ 2  ║
-╚═══╧════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -400,17 +386,19 @@ df.ctypes.print()
 
 ```text
 //output
-╔═══╤═════════╗
-║ A │ string  ║
-╟───┼─────────╢
-║ B │ string  ║
-╟───┼─────────╢
-║ C │ int32   ║
-╟───┼─────────╢
-║ D │ float32 ║
-╟───┼─────────╢
-║ E │ string  ║
-╚═══╧═════════╝
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ string               ║
+╟───┼──────────────────────╢
+║ B │ string               ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ float32              ║
+╟───┼──────────────────────╢
+║ E │ string               ║
+╚═══╧══════════════════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -717,23 +705,19 @@ df.describe().print()
 ```text
 //output in console
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║        │ A                 │ B                 │ C                 │ D                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
+╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Sorting by values \(Defaults to ascending\):
@@ -788,17 +772,15 @@ df.print()
 {% endtabs %}
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ NaN               │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ -4                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 47.3              │ 5                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -20               │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -957,7 +939,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing:
+Showing label slicing, both endpoints are _included_:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -988,15 +970,17 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- 
+ Shape: (3,2) 
 
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1042,13 +1026,15 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1092,11 +1078,13 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1115,62 +1103,17 @@ sub_df.print()
 ```
 
 ```text
-╔════════════╤═══════════════════╗
-║            │ Count             ║
-╟────────────┼───────────────────╢
-║ 0          │ 21                ║
-╟────────────┼───────────────────╢
-║ 1          │ 5                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 30                ║
-╟────────────┼───────────────────╢
-║ 3          │ 10                ║
-╚════════════╧═══════════════════╝
-```
-
-#### Selection with Boolean Mask
-
-You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
-
-```javascript
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-
-let sub_df = df.iloc({ rows: df["Count"].gt(10) })
-sub_df.print()
-```
-
-```text
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
-
-```javascript
-let sub_df = df.iloc({
-    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
-    columns: [0]
-})
-sub_df.print()
-
-//output
-╔════════════╤═══════════════════╗
-║            │ Name              ║
-╟────────────┼───────────────────╢
-║ 0          │ Apples            ║
-╚════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1251,7 +1194,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
+Selecting values from a DataFrame works on string columns:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1259,36 +1202,34 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-let query_df = df.query({ condition: df["B"].gt(5) })
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
 query_df.print() //after query
 ```
 
 ```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let query_df = df.query({
-    condition:
-        df["B"].gt(5).and(df["A"].lt(30))
-})
-query_df.print() //after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+//after query
 
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1308,7 +1249,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
+df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1340,7 +1281,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-
+        
         df.print()
 
     </script>
@@ -1368,22 +1309,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                │ 45                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                │ 55                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
- **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
+danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
 
 To drop any rows that have missing data:
 
@@ -1392,13 +1333,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropna({axis: 0})
 df_drop.print()
 ```
 {% endtab %}
@@ -1439,27 +1380,27 @@ df_drop.print()
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ NaN               │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+ Shape: (1,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1467,45 +1408,44 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(1)
+let df_drop = df.dropna({axis: 1})
 df_drop.print()
 ```
 
 ```text
 //Before dropping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ NaN               │ 5                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ NaN               │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 34                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ NaN               │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ NaN               │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ NaN               │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔════════════╤═══════════════════╗
-║            │ C                 ║
-╟────────────┼───────────────────╢
-║ 0          │ 3                 ║
-╟────────────┼───────────────────╢
-║ 1          │ 6                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 40                ║
-╟────────────┼───────────────────╢
-║ 3          │ 78                ║
-╚════════════╧═══════════════════╝
-
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
 ```
 
 Filling missing data:
@@ -1515,13 +1455,13 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-  }
+            "Name": ["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10],
+            "Price": [200, 300, 40, 250]
+          }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillna({ values: ["Apples"] })
 
 df_filled.print()
 ```
@@ -1545,16 +1485,14 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {
-    "Name": ["Apples", "Mango", "Banana", NaN],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
+let data = {"Name":["Apples", "Mango", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10], 
+            "Price": [200, 300, 40, 250]}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
+let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
 df_filled.print()
 ```
 
@@ -1616,7 +1554,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data, { columns: cols })
+let df = new dfd.DataFrame(data)
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1670,11 +1608,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ A │ 4                    ║
+║ 0 │ 4                    ║
 ╟───┼──────────────────────╢
-║ B │ 38.5                 ║
+║ 1 │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ C │ 31.75                ║
+║ 2 │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1728,7 +1666,7 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, { axis: 1 })
+let df_new = df.sub(sf, axis = 1)
 
 df_new.print()
 ```
@@ -1749,7 +1687,7 @@ df_new.print()
 
 #### Apply
 
-Applying functions to the data along specified axis. If axis = 1 \(default\), then the specified function \(`callable)` will be called with each column data, and vice versa:
+Applying JavaScript functions to the data:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1758,11 +1696,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
+function sum_vals(x) {
+    return x + 20
 }
 
-let df_new = df.apply(sum_vals, { axis: 1 })
+let df_new = df.apply({callable: sum_vals })
 df_new.print()
 ```
 
@@ -1783,18 +1721,22 @@ df_new.print()
 
 //after applying
 
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 22                │ 23                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 24                │ 25                │ 26                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 40                │ 50                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 59                │ 109               │ 98                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Applying Element wise operations to the data:
+Applying Tensorflow functions to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
+You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1803,11 +1745,13 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 10
+df.print()
+
+function log_sig(x) {
+    return x.logSigmoid()
 }
 
-let df_new = df.apply_map(sum_vals)
+let df_new = df.apply({axis: 0, callable: log_sig })
 df_new.print()
 ```
 
@@ -1826,19 +1770,19 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after apply_map
+ //after applying
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 11                │ 12                │ 13                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 14                │ 15                │ 16                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 30                │ 40                │ 50                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 49                │ 99                │ 88                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
@@ -2325,36 +2269,29 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
+Convert any DataFrame to csv format.
 
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = {
-    "Abs": [20.2, 30, 47.3],
-    "Count": [34, 4, 5],
-    "country code": ["NG", "FR", "GH"]
-}
+          "Abs": [20.2, 30, 47.3],
+          "Count": [34, 4, 5],
+          "country code": ["NG", "FR", "GH"]
+        }
 
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.to_csv()
-console.log(csv);
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-
-
-df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
-
-
-df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
+df.to_csv().then((csv) => {
+  console.log(csv);
 
+}).catch((err) => {
 
+  console.log(err);
+})
 ```
 
 ```text
@@ -2435,24 +2372,18 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.to_json()
-console.log(json);
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
+df.to_json().then((json) => {
+  console.log(json);
 
+}).catch((err) => {
 
-const json = df.to_json({format: "row"})
-console.log(json);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
+  console.log(err);
+})
+```
 
+```text
+[{"Abs":20.2,"Count":34,"country code":"NG"},
+{"Abs":30,"Count":4,"country code":"FR"},
+{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
 

From c3bdeb2f42857cb734f93fbd37b4e98c8a401c99 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 16:10:48 +0000
Subject: [PATCH 028/202] GitBook: [master] 211 pages modified

---
 api-reference/dataframe/README.md             |  6 ++-
 .../dataframe/creating-a-dataframe.md         | 46 +++++++++++++++++++
 api-reference/series/creating-a-series.md     | 38 +++++++++++++++
 3 files changed, 89 insertions(+), 1 deletion(-)

diff --git a/api-reference/dataframe/README.md b/api-reference/dataframe/README.md
index 4b14800..6a997c3 100644
--- a/api-reference/dataframe/README.md
+++ b/api-reference/dataframe/README.md
@@ -4,7 +4,11 @@ description: 'Two-dimensional, size-mutable, potentially heterogeneous tabular d
 
 # Dataframe
 
-> [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame)\(data, {**columns:** \[ Array \], **dtypes:** \[ Array \], **index:** \[Array\]}\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L20)\]
+> `DataFrame`\(data, {  
+>                                 **columns:** \[ Array \],  
+>                                  **dtypes:** \[ Array \],   
+>                                  **index:** \[Array\],   
+>                                  **options**: Object}\)
 
 ### Attributes
 
diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 85a6d55..dd9931b 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -1,5 +1,51 @@
+---
+description: Creates a DataFrame object from flat structure
+---
+
 # Creating a DataFrame
 
+new danfo.**DataFrame**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>columns:</b> Array of column names. If not specified, column names are
+          auto generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
 In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
 
 ### Creating a `DataFrame` from a JSON object:
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index da079d5..dd16a93 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -1,5 +1,43 @@
 # Creating a Series
 
+new danfo.**Series**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
 In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
 
 ### Creating a Series from an object:

From e096a13e2bbbf36c01438cbf0fb72cd5549ab536 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 3 Oct 2021 16:32:34 +0000
Subject: [PATCH 029/202] GitBook: [master] 213 pages modified

---
 SUMMARY.md                             |   1 +
 api-reference/configuration-options.md | 129 +++++++++++++++++++++++++
 api-reference/dataframe/README.md      |   6 +-
 3 files changed, 131 insertions(+), 5 deletions(-)
 create mode 100644 api-reference/configuration-options.md

diff --git a/SUMMARY.md b/SUMMARY.md
index 9752ec2..c253e10 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -179,6 +179,7 @@
     * [DataFrame.ne](api-reference/dataframe/danfo.dataframe.ne.md)
     * [DataFrame.eq](api-reference/dataframe/danfo.dataframe.eq.md)
     * [DataFrame.replace](api-reference/dataframe/danfo.dataframe.replace.md)
+  * [Configuration Options](api-reference/configuration-options.md)
   * [Plotting](api-reference/plotting/README.md)
     * [Timeseries Plots](api-reference/plotting/timeseries-plots.md)
     * [Violin Plots](api-reference/plotting/violin-plots.md)
diff --git a/api-reference/configuration-options.md b/api-reference/configuration-options.md
new file mode 100644
index 0000000..d1ea96b
--- /dev/null
+++ b/api-reference/configuration-options.md
@@ -0,0 +1,129 @@
+---
+description: >-
+  This section describes all user configurable options available on
+  DataFrame/Series creation.
+---
+
+# Configuration Options
+
+On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
+
+| Parameter | Description |
+| :--- | :--- |
+| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
+| tableMaxRow | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10 |
+| dtypeTestLim | **Number**, the total number of values to test when inferring data type. Defaults to 10 |
+| lowMemoryMode | **Boolean**, whether to use minimal memory or not. Defaults to false.  **Note:** There's a slight decrease in speed when low memory mode is set to true.  |
+
+> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
+
+## Examples of setting configs
+
+### Add a DataFrame header
+
+```javascript
+ const data = {
+                "Name": ["Apples", "Mango", "Banana", "Pear"],
+                "Count": [21, 5, 30, 10],
+                "Price": [200, 300, 40, 250]
+            };
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔════════════════════════════════════════════════════════════════════════╗
+║                               THE HEADER                               ║
+║                   This is the table about something                    ║
+╟────────────┬───────────────────┬───────────────────┬───────────────────╢
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Configure column size and display format of DataFrame
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+};
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+            columns: [
+                { alignment: 'left' },
+                { alignment: 'center', width: 20 },
+                { alignment: 'right' },
+                { alignment: 'justify' }
+            ],
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔══════════════════════════════════════════╗
+║                THE HEADER                ║
+║    This is the table about something     ║
+╟───┬──────────────────────┬───────┬───────╢
+║   │         Name         │ Count │ Price ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 0 │        Apples        │    21 │ 200   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 1 │        Mango         │     5 │ 300   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 2 │        Banana        │    30 │ 40    ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 3 │         Pear         │    10 │ 250   ║
+╚═══╧══════════════════════╧═══════╧═══════╝
+```
+
+### Configure the number of rows displayed when **print** is called
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250],
+
+};
+const df = new DataFrame(data, {
+    config: {
+        tableMaxColInConsole: 6,
+        tableMaxRow: 1
+    }
+});
+df.print()
+```
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference/dataframe/README.md b/api-reference/dataframe/README.md
index 6a997c3..4b14800 100644
--- a/api-reference/dataframe/README.md
+++ b/api-reference/dataframe/README.md
@@ -4,11 +4,7 @@ description: 'Two-dimensional, size-mutable, potentially heterogeneous tabular d
 
 # Dataframe
 
-> `DataFrame`\(data, {  
->                                 **columns:** \[ Array \],  
->                                  **dtypes:** \[ Array \],   
->                                  **index:** \[Array\],   
->                                  **options**: Object}\)
+> [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame)\(data, {**columns:** \[ Array \], **dtypes:** \[ Array \], **index:** \[Array\]}\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L20)\]
 
 ### Attributes
 

From 89ddbf7180d75c6a6df287aa9d4465337796f842 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 15:51:17 +0000
Subject: [PATCH 030/202] GitBook: No commit message

---
 .../dataframe/dataframe.sort_index.md         | 42 ++++---------------
 1 file changed, 9 insertions(+), 33 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_index.md b/api-reference/dataframe/dataframe.sort_index.md
index e95017b..ed71450 100644
--- a/api-reference/dataframe/dataframe.sort_index.md
+++ b/api-reference/dataframe/dataframe.sort_index.md
@@ -1,39 +1,17 @@
 ---
 description: Sort DataFrame by index
 ---
+# DataFrame.sort_index
 
-# DataFrame.sort\_index
-
-danfo.DataFrame.**sort\_index**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>ascending</b>: Order of sorting</p>
-        <p><b>inplace</b>: specify whether to perform the operation to the row/column
-          with/without creating a new DataFrame</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>ascending</b>: true, <b>inplace:</b>false}</td>
-    </tr>
-  </tbody>
-</table>
+DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
+
+| Parameters | Type   | Description                                                                                                                                                                                           | Default                                  |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| kwargs     | Object | <p>{</p><p><strong>ascending</strong>:  Order of sorting</p><p><strong>inplace</strong>: specify whether to perform the operation to the row/column with/without creating a new DataFrame</p><p>}</p> | {**ascending**: true, **inplace:**false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -59,14 +37,13 @@ df2.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ col1              │ col2              │ col3              │ col4              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -93,5 +70,4 @@ df2.print()
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****

From 5e8ae74e21d4e49628db68ed01886f38eb29f20c Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 15:52:17 +0000
Subject: [PATCH 031/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.sort_index.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_index.md b/api-reference/dataframe/dataframe.sort_index.md
index ed71450..0829afe 100644
--- a/api-reference/dataframe/dataframe.sort_index.md
+++ b/api-reference/dataframe/dataframe.sort_index.md
@@ -5,9 +5,9 @@ description: Sort DataFrame by index
 
 DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
 
-| Parameters | Type   | Description                                                                                                                                                                                           | Default                                  |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| kwargs     | Object | <p>{</p><p><strong>ascending</strong>:  Order of sorting</p><p><strong>inplace</strong>: specify whether to perform the operation to the row/column with/without creating a new DataFrame</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
 
 **Returns:**
 

From 94c7b4307153eb9ef75065970e13e39e55d2f25a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:08:52 +0000
Subject: [PATCH 032/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.append.md | 19 +++++++++----------
 1 file changed, 9 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index d13e0a0..827a2a9 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -1,18 +1,19 @@
 ---
 description: Adds new row to the end of a DataFrame
 ---
-
 # DataFrame.append
 
-danfo.DataFrame.**append**\(val\) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)\]
+danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| val | Array \| Series | Object to append |  |
+| Parameters | Type            | Description      | Default |
+| ---------- | --------------- | ---------------- | ------- |
+| newValues  |                 |                  |         |
+| newValues  |                 |                  |         |
+| newValues  | Array \| Series | Object to append |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -36,14 +37,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -72,5 +72,4 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****

From 763689af077f8bd506cef1b9faa83858aa5d8a59 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:09:57 +0000
Subject: [PATCH 033/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.append.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index 827a2a9..d7371a2 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -5,11 +5,11 @@ description: Adds new row to the end of a DataFrame
 
 danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
 
-| Parameters | Type            | Description      | Default |
-| ---------- | --------------- | ---------------- | ------- |
-| newValues  |                 |                  |         |
-| newValues  |                 |                  |         |
-| newValues  | Array \| Series | Object to append |         |
+| Parameters | Type                        | Description                                                                                           | Default |
+| ---------- | --------------------------- | ----------------------------------------------------------------------------------------------------- | ------- |
+| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                      |         |
+| index      |                             | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` |         |
+| options    | Array \| Series             | Object to append                                                                                      |         |
 
 **Returns:**
 

From 338bb0a669663d54e326968f0adf604ef12994b2 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:10:57 +0000
Subject: [PATCH 034/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.append.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index d7371a2..f602051 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -5,11 +5,11 @@ description: Adds new row to the end of a DataFrame
 
 danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
 
-| Parameters | Type                        | Description                                                                                           | Default |
-| ---------- | --------------------------- | ----------------------------------------------------------------------------------------------------- | ------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                      |         |
-| index      |                             | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` |         |
-| options    | Array \| Series             | Object to append                                                                                      |         |
+| Parameters | Type                        | Description                                                                                                                | Default |
+| ---------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
+| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                           |         |
+| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`. |         |
+| options    | Object                      | Con                                                                                                                        |         |
 
 **Returns:**
 

From cda60d039b18cf3aa1554f16de6343e104504d55 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:11:59 +0000
Subject: [PATCH 035/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.append.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index f602051..9dd2234 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -5,11 +5,11 @@ description: Adds new row to the end of a DataFrame
 
 danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
 
-| Parameters | Type                        | Description                                                                                                                | Default |
-| ---------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                           |         |
-| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`. |         |
-| options    | Object                      | Con                                                                                                                        |         |
+| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
+| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
+| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
+| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
+| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
 
 **Returns:**
 

From c05d90ac16847fcffddb9f80b49a7be3dacfd99d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:14:14 +0000
Subject: [PATCH 036/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.append.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index 9dd2234..ae84a8b 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -17,7 +17,7 @@ danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danf
 
 ## **Examples**
 
-### **Sort DataFrame by a column in ascending order**
+### **Appends a new row to the end of a DataFrame**
 
 {% tabs %}
 {% tab title="Node" %}
@@ -29,7 +29,7 @@ let data = [[0, 2, 4, "b"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let new_df = df.append([[20, 40, 60, "d"]])
+let new_df = df.append([[20, 40, 60, "d"]], [3])
 new_df.print()
 
 ```

From bba8c802d714f0207d33021c18891724bf4975bf Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:15:25 +0000
Subject: [PATCH 037/202] GitBook: No commit message

---
 .../dataframe/dataframe.nunique-1.md          | 44 +++++++++----------
 1 file changed, 20 insertions(+), 24 deletions(-)

diff --git a/api-reference/dataframe/dataframe.nunique-1.md b/api-reference/dataframe/dataframe.nunique-1.md
index 4cf2a14..f06d4ed 100644
--- a/api-reference/dataframe/dataframe.nunique-1.md
+++ b/api-reference/dataframe/dataframe.nunique-1.md
@@ -1,18 +1,18 @@
 # DataFrame.nunique
 
-danfo.DataFrame.**nunique**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)\]
+danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int |  0 for row axis, and 1 for column axis | 1 |
+| Parameters | Type | Description                            | Default |
+| ---------- | ---- | -------------------------------------- | ------- |
+| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-### Return number of unique values along column axis \(axis=1\)
+### Return number of unique values along column axis (axis=1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,30 +32,28 @@ df.nunique().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 3                    ║
-╟───┼──────────────────────╢
-║ B │ 4                    ║
-╟───┼──────────────────────╢
-║ C │ 2                    ║
-╟───┼──────────────────────╢
-║ D │ 3                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 4 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╚═══╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Return number of unique values in row axis \(axis=0\)
+### Return number of unique values in row axis (axis=0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -75,14 +73,13 @@ df.nunique(axis=0).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -98,5 +95,4 @@ df.nunique(axis=0).print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To get the unique elements along an axis, use ****[DataFrame.unique.](dataframe.nunique-1.md)
-
+**Note: **To get the unique elements along an axis, use** **[DataFrame.unique.](dataframe.nunique-1.md)

From cf0fef3f77bd4210912850988119df52926e00c8 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:17:03 +0000
Subject: [PATCH 038/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.tensor.md | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/dataframe.tensor.md b/api-reference/dataframe/dataframe.tensor.md
index 5f001fa..72ddf9a 100644
--- a/api-reference/dataframe/dataframe.tensor.md
+++ b/api-reference/dataframe/dataframe.tensor.md
@@ -1,18 +1,15 @@
 ---
-description: >-
-  Return a Tensorflow tensor representation of the DataFrame. Only the values in
-  the DataFrame will be returned, the axes labels will be removed.
+description: Return a Tensorflow tensor representation of the DataFrame. Only the values in the DataFrame will be returned, the axes labels will be removed.
 ---
-
 # DataFrame.tensor
 
-danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
+danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-       ****return **tf.tensor**
+**       **return** tf.tensor**
 
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype \(mainly float32\), and will replace any string value with  NaN. Use with care.
+> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care. 
 
 ## **Examples**
 
@@ -38,14 +35,13 @@ tf_tensor.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 float32
 
 Tensor {
@@ -93,14 +89,13 @@ tf_tensor.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 float32 
 
 Tensor {
@@ -122,4 +117,3 @@ Tensor
 ```
 {% endtab %}
 {% endtabs %}
-

From c49ef3c45935653139923bb7248ed5d7bf49cb5b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:18:07 +0000
Subject: [PATCH 039/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.tensor.md | 20 ++++----------------
 1 file changed, 4 insertions(+), 16 deletions(-)

diff --git a/api-reference/dataframe/dataframe.tensor.md b/api-reference/dataframe/dataframe.tensor.md
index 72ddf9a..125198f 100644
--- a/api-reference/dataframe/dataframe.tensor.md
+++ b/api-reference/dataframe/dataframe.tensor.md
@@ -43,23 +43,11 @@ tf_tensor.print()
 {% tab title="Output" %}
 ```
 float32
-
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 3, 3 ],
-  dtype: 'float32',
-  size: 9,
-  strides: [ 3 ],
-  dataId: {},
-  id: 0,
-  rankType: '2'
-}
-
 Tensor
     [[-20       , 34, 20],
-     [30        , -4, 2 ],
-     [47.2999992, 5 , 30]]
+     [30        , -4, 20],
+     [47.2999992, 5 , 30],
+     [-20       , 6 , 30]]
 ```
 {% endtab %}
 {% endtabs %}
@@ -72,7 +60,7 @@ String values in a Tensor are represented as NaN, so ensure to transform them be
 const dfd = require("danfojs-node")
 
 let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
+             "Count": [34, 5, 6] ,
              "country code": ["NG", "FR", "GH"] }
 
 

From 77a4be27b34a74a71961eca2015f914c363e5870 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:19:10 +0000
Subject: [PATCH 040/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.print.md | 14 +++-----------
 1 file changed, 3 insertions(+), 11 deletions(-)

diff --git a/api-reference/dataframe/dataframe.print.md b/api-reference/dataframe/dataframe.print.md
index de4ea91..7a43db1 100644
--- a/api-reference/dataframe/dataframe.print.md
+++ b/api-reference/dataframe/dataframe.print.md
@@ -1,14 +1,9 @@
 ---
 description: Pretty prints n number of rows in a DataFrame or Series to the console
 ---
-
 # DataFrame.print
 
-danfo.DataFrame.**print\(**rows**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| **rows** | Int | Number of rows to display. | 5 |
+danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 ## **Examples**
 
@@ -29,14 +24,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Abs               │ Count             │ country code      ║
@@ -72,14 +66,13 @@ console.log(String(df));
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 DataFrame {
   kwargs: { columns: [ 'Abs', 'Count', 'country code' ] },
   series: false,
@@ -129,4 +122,3 @@ DataFrame {
 ```
 {% endtab %}
 {% endtabs %}
-

From 865e54c68ada4110375bef9a86295b85e803ad45 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:20:09 +0000
Subject: [PATCH 041/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.print.md | 64 +++++++---------------
 1 file changed, 21 insertions(+), 43 deletions(-)

diff --git a/api-reference/dataframe/dataframe.print.md b/api-reference/dataframe/dataframe.print.md
index 7a43db1..415e45f 100644
--- a/api-reference/dataframe/dataframe.print.md
+++ b/api-reference/dataframe/dataframe.print.md
@@ -74,51 +74,29 @@ console.log(String(df));
 {% tab title="Output" %}
 ```
 DataFrame {
-  kwargs: { columns: [ 'Abs', 'Count', 'country code' ] },
-  series: false,
-  data: [ [ 20.2, 34, 'NG' ], [ 30, 4, 'FR' ], [ 47.3, 5, 'GH' ] ],
-  row_data_tensor: Tensor {
-    kept: false,
-    isDisposedInternal: false,
-    shape: [ 3, 3 ],
-    dtype: 'float32',
-    size: 9,
-    strides: [ 3 ],
-    dataId: {},
-    id: 0,
-    rankType: '2'
+  '$isSeries': false,
+  '$config': Configs {
+    tableDisplayConfig: {},
+    tableMaxRow: 10,
+    tableMaxColInConsole: 21,
+    dtypeTestLim: 7,
+    lowMemoryMode: false
   },
-  index_arr: [ 0, 1, 2 ],
-  columns: [ 'Abs', 'Count', 'country code' ],
-  col_data: [ [ 20.2, 30, 47.3 ], [ 34, 4, 5 ], [ 'NG', 'FR', 'GH' ] ],
-  col_data_tensor: Tensor {
-    kept: false,
-    isDisposedInternal: false,
-    shape: [ 3, 3 ],
-    dtype: 'float32',
-    size: 9,
-    strides: [ 3 ],
-    dataId: {},
-    id: 1,
-    rankType: '2'
-  },
-  col_types: [ 'float32', 'int32', 'string' ],
-  Abs: [Getter/Setter],
-  Count: [Getter/Setter],
-  'country code': [Getter/Setter]
+  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
+  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
+  '$index': [ 0, 1, 2 ],
+  '$dtypes': [ 'float32', 'int32', 'string' ],
+  '$columns': [ 'Abs', 'Count', 'country code' ]
 }
-
- //after casting to string
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Abs               │ Count             │ country code      ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.2              │ 34                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ FR                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ GH                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Abs               │ Count             │ country code      ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20.2              │ 34                │ NG                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ FR                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ GH                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From ac7ab598fb7ec5e6d2bf62a76f18a12ec1d65725 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:21:07 +0000
Subject: [PATCH 042/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.to_csv.md | 14 +++++---------
 1 file changed, 5 insertions(+), 9 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 858cfa9..ae232da 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -1,14 +1,11 @@
 ---
 description: Convert DataFrame data to a comma-separated values (csv)
 ---
+# DataFrame.to_csv
 
-# DataFrame.to\_csv
+danfo.DataFrame.**to_csv**(configs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-danfo.DataFrame.**to\_csv**\(path\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-**Returns:**
-
-        ****returns **Promise**
+****
 
 ## **Examples**
 
@@ -39,7 +36,7 @@ df.to_csv("/home/link/to/path.csv").then((csv) => {
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 Abs,Count,country code
 20.2,34,NG
 30,4,FR
@@ -49,6 +46,5 @@ Abs,Count,country code
 {% endtabs %}
 
 {% hint style="info" %}
-To export DataFrame as Json, use [DataFrame.to\_json](dataframe.to_json.md)
+To export DataFrame as Json, use [DataFrame.to_json](dataframe.to_json.md)
 {% endhint %}
-

From f607e73ec4e86fd465b6721bcfcd63e8d0916ebc Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:22:34 +0000
Subject: [PATCH 043/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.to_csv.md | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index ae232da..b48f0b7 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -3,9 +3,13 @@ description: Convert DataFrame data to a comma-separated values (csv)
 ---
 # DataFrame.to_csv
 
-danfo.DataFrame.**to_csv**(configs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+DataFrame.**to_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-****
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
+| -------------- | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
 ## **Examples**
 

From bff1e98af01c13ebdf53ba1ea1475ee85ac0571b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:24:06 +0000
Subject: [PATCH 044/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.to_csv.md | 102 ++++++++++++++++----
 1 file changed, 81 insertions(+), 21 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index b48f0b7..655b7e8 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -11,44 +11,104 @@ DataFrame.**to_csv**(options) \[[source](https://github.com/opensource9ja/danfoj
 
 The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
-## **Examples**
+****
 
-### Convert DataFrame to CSV format
+### Convert DataFrame to CSV string and return value
 
 {% tabs %}
-{% tab title="Node" %}
+{% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
 
+let df = new dfd.DataFrame(data);
 
-let df = new dfd.DataFrame(data)
+const csv = df.to_csv({ download: false });
+console.log(csv);
 
-df.to_csv("/home/link/to/path.csv").then((csv) => {
-    console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
 
-}).catch((err) => {
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
 
-    console.log(err);
-})
 ```
 {% endtab %}
 {% endtabs %}
 
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
 {% tabs %}
-{% tab title="Output" %}
-```
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ filePath: "testOut.csv"});
 ```
 {% endtab %}
 {% endtabs %}
 
-{% hint style="info" %}
-To export DataFrame as Json, use [DataFrame.to_json](dataframe.to_json.md)
-{% endhint %}
+### Convert DataFrame to CSV string and download file in browser
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ fileName: "testOut.csv", download: true});
+```
+

From 276b2acfb774b820ce38b6d65fcdb392696e99d9 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:25:00 +0000
Subject: [PATCH 045/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.to_json.md | 127 +++++++++++++++----
 1 file changed, 101 insertions(+), 26 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 968ca81..f6082a0 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -1,51 +1,126 @@
 ---
 description: Convert DataFrame to JSON format
 ---
+# DataFrame.to_json
 
-# DataFrame.to\_json
+> DataFrame.**to_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
 
-danfo.DataFrame.**to\_json**\(path\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
+| -------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
 
-**Returns:**
+The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
-        ****returns **Promise**
-
-## **Examples**
-
-### Convert DataFrame to JSON format
+### Convert DataFrame/Series to JSON and return value
 
 {% tabs %}
-{% tab title="Node" %}
+{% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = df.to_json({ download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = df.to_json({
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
 
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
 
-let df = new dfd.DataFrame(data)
+</html>
 
-df.to_json("/home/link/to/path.csv").then((json) => {
-    console.log(json);
-}).catch((err) => {
-    console.log(err);
-})
 ```
 {% endtab %}
 {% endtabs %}
 
+### Convert DataFrame/Series to JSON  and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
 {% tabs %}
-{% tab title="Output" %}
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ filePath: "./testOutput.json" });
 ```
 {% endtab %}
 {% endtabs %}
 
-{% hint style="info" %}
-To export DataFrame as CSV, use [DataFrame.to\_csv](dataframe.to_json.md)
-{% endhint %}
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
 
+df.to_json({ fileName: "test_out.json" });
+```

From 0a9454aea9f3b7dd2486d74ab6551c5582136f27 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:27:31 +0000
Subject: [PATCH 046/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_csv.md | 71 +++++-----------------
 1 file changed, 14 insertions(+), 57 deletions(-)

diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index 4bb5456..d7d78bb 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -2,59 +2,16 @@
 description: Writes a DataFrame or Series to CSV format.
 ---
 
-# danfo.to\_csv
-
-> danfo.**to\_csv**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>data</b></em>
-      </td>
-      <td style="text-align:left">Series or DataFrame</td>
-      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
-      </td>
-      <td style="text-align:left">object, optional</td>
-      <td style="text-align:left">
-        <p>Configuration object:</p>
-        <p>{</p>
-        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
-          If not specified, the CSV will be returned as a string. Only needed in
-          Nodejs version
-          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
-          needed in browser environment.
-          <br /><b><code>download</code></b>: Boolean indicating whether to automatically
-          download the CSV file in the browser. Only needed in the browser environment.</p>
-        <p><b><code>header</code></b>: Boolean indicating whether to include a header
-          row in the CSV file.</p>
-        <p> <b><code>sep</code></b>: Character to be used as a separator in the CSV
-          file.</p>
-        <p></p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b>download</b>: true,
-        <br /><b>sep</b>: &quot;,&quot;
-        <br />
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
-
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+# danfo.to_csv
+
+> danfo.**to_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
+| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |                                                                                    |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
 ### Convert DataFrame to CSV string and return value
 
@@ -71,7 +28,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const csv = df.to_csv({ download: false });
+const csv = dfd.to_csv(df, { download: false });
 console.log(csv);
 
 //output
@@ -134,7 +91,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_csv({ filePath: "testOut.csv"});
+dfd.to_csv(df, { filePath: "testOut.csv"});
 ```
 {% endtab %}
 {% endtabs %}
@@ -144,6 +101,7 @@ df.to_csv({ filePath: "testOut.csv"});
 You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
 
 ```javascript
+const dfd = require("danfojs")
 let data = {
     Abs: [20.2, 30, 47.3],
     Count: [34, 4, 5],
@@ -152,6 +110,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_csv({ fileName: "testOut.csv", download: true});
+dfd.to_csv(df, { fileName: "testOut.csv", download: true});
 ```
-

From 1f6b1a0c76a7c7b4b384f8b7ef79fe0ea0ce0c28 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:27:57 +0000
Subject: [PATCH 047/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_csv.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index d7d78bb..f4b0f54 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -96,12 +96,13 @@ dfd.to_csv(df, { filePath: "testOut.csv"});
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame to CSV string and download file in browser
+### Convert DataFrame to CSV string and download file in Client-side lib
 
 You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
 
 ```javascript
 const dfd = require("danfojs")
+
 let data = {
     Abs: [20.2, 30, 47.3],
     Count: [34, 4, 5],

From c35b5107dc4ecb1c9c35980c8141ebd7e9e51c11 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:28:29 +0000
Subject: [PATCH 048/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_excel.md | 58 ++++----------------
 1 file changed, 10 insertions(+), 48 deletions(-)

diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index 0b781b4..cc383dd 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -4,53 +4,16 @@ description: >-
   download in browser.
 ---
 
-# danfo.to\_excel
+# danfo.to_excel
 
-> danfo.**to\_excel**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)\]
+> danfo.**to_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>data</b></em>
-      </td>
-      <td style="text-align:left">Series or DataFrame</td>
-      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
-      </td>
-      <td style="text-align:left">object, optional</td>
-      <td style="text-align:left">
-        <p>Configuration object:</p>
-        <p>{</p>
-        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
-          If not specified, the CSV will be returned as a string. Only needed in
-          Nodejs version
-          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
-          needed in the browser environment.
-          <br /><b><code>sheetName</code></b>: Name to call the excel sheet.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b>filePath</b>: &quot;./output.xlsx&quot;,
-        <br /><b>sheetName</b>: &quot;Sheet1&quot;
-        <br />
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
 
-The **to\_excel** function can be used to write out a DataFrame or Series to Excel \(**.xlsx**\) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
 
 ### Convert DataFrame to Excel and write to file path
 
@@ -69,12 +32,12 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_excel({ filePath: "testOut.xlsx"});
+dfd.to_excel(df, { filePath: "testOut.xlsx"});
 ```
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame to Excel and download the file in a browser
+### Convert DataFrame to Excel and download the file in  Client-side lib
 
 You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
 
@@ -87,6 +50,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_excel({ fileName: "testOut.xlsx"});
+dfd.to_excel(df, { fileName: "testOut.xlsx"});
 ```
-

From 0bc39c185bf6c768d3074929cc218e318f728ae0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:29:21 +0000
Subject: [PATCH 049/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_json.md | 56 ++++-----------------
 1 file changed, 10 insertions(+), 46 deletions(-)

diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 878eb5f..785b9be 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -1,48 +1,13 @@
-# danfo.to\_json
-
-> danfo.**to\_json**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>data</b></em>
-      </td>
-      <td style="text-align:left">Series or DataFrame</td>
-      <td style="text-align:left">The Series or DataFrame to write to CSV</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>options</b>
-      </td>
-      <td style="text-align:left">object, optional</td>
-      <td style="text-align:left">
-        <p>Configuration object:</p>
-        <p>{</p>
-        <p> <b><code>filePath</code></b>: Local file path to write the CSV file to.
-          If not specified, the CSV will be returned as a string. Only needed in
-          Nodejs version
-          <br /><b><code>fileName</code></b>: The name of the file to download as. Only
-          needed in browser environment.
-          <br /><b><code>format</code></b>: The format of the JSON. Can be one of <b><code>row</code></b> or <b><code>column</code></b>.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{
-        <br /><b><code>format</code></b>: &quot;column&quot;
-        <br />}</td>
-    </tr>
-  </tbody>
-</table>
-
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+# danfo.to_json
+
+> danfo.**to_json**(data, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
+| -------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
 ### Convert DataFrame/Series to JSON and return value
 
@@ -157,4 +122,3 @@ let df = new dfd.DataFrame(data);
 
 df.to_json({ fileName: "test_out.json" });
 ```
-

From d12e4ef6169a505e49d0691f45658923cae6fa50 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:29:50 +0000
Subject: [PATCH 050/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_csv.md   | 2 +-
 api-reference/input-output/danfo.to_excel.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index f4b0f54..06e7f95 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -4,7 +4,7 @@ description: Writes a DataFrame or Series to CSV format.
 
 # danfo.to_csv
 
-> danfo.**to_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+> danfo.**to_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
 | -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index cc383dd..5218852 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -6,7 +6,7 @@ description: >-
 
 # danfo.to_excel
 
-> danfo.**to_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+> danfo.**to_excel**(data, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
 | -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |

From d26926d065626def8c61ca48b02d6f7710fc37c7 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:30:11 +0000
Subject: [PATCH 051/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_excel.md | 2 +-
 api-reference/input-output/danfo.to_json.md  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index 5218852..1fe1adf 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -6,7 +6,7 @@ description: >-
 
 # danfo.to_excel
 
-> danfo.**to_excel**(data, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
 | -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 785b9be..93eaa97 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -1,6 +1,6 @@
 # danfo.to_json
 
-> danfo.**to_json**(data, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+> danfo.**to_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
 | -------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |

From 52cebb91e4be157b933f7b4bf8ba428d5e99ce93 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:30:54 +0000
Subject: [PATCH 052/202] GitBook: No commit message

---
 api-reference/input-output/danfo.to_json.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 93eaa97..6ec9f70 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -24,7 +24,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const jsonObj = df.to_json({ download: false }); //column format
+const jsonObj = dfd.to_json(df, { download: false }); //column format
 console.log(jsonObj);
 
 //output
@@ -35,7 +35,7 @@ console.log(jsonObj);
 ]
 
 //row format
-const jsonObj = df.to_json({
+const jsonObj = dfd.to_json(df, {
     download: false,
     format: "row"
 });
@@ -102,7 +102,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_json({ filePath: "./testOutput.json" });
+dfd.to_json(df, { filePath: "./testOutput.json" });
 ```
 {% endtab %}
 {% endtabs %}
@@ -120,5 +120,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_json({ fileName: "test_out.json" });
+dfd.to_json(df, { fileName: "test_out.json" });
 ```

From 443d68cd5f8705154e977554cbb2b2e8a05ee197 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:33:05 +0000
Subject: [PATCH 053/202] GitBook: No commit message

---
 .../dataframe/dataframe.sort_values.md        | 46 ++++---------------
 1 file changed, 10 insertions(+), 36 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 829c6c5..2272b53 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -2,40 +2,17 @@
 description: Sort a Dataframe in ascending or descending order by a specified column name.
 ---
 
-# DataFrame.sort\_values
-
-danfo.DataFrame.**sort\_values**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>by</b>: This key can be either a single column name or a single array
-          of the same length as the calling DataFrame,</p>
-        <p><b>ascending: </b>Order of sorting</p>
-        <p><b>inplace</b>: specify whether to perform the operation to the row/column
-          with/without creating a new DataFrame</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>ascending</b>: true, <b>inplace:</b>false}</td>
-    </tr>
-  </tbody>
-</table>
+# DataFrame.sort_values
+
+danfo.DataFrame.**sort_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending: </strong>Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -59,14 +36,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -102,14 +78,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -122,4 +97,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 9bd9f140292aef15e9c611713f38234c83405b74 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:34:28 +0000
Subject: [PATCH 054/202] GitBook: No commit message

---
 .../dataframe/dataframe.sort_values.md        | 40 +++++++++----------
 1 file changed, 20 insertions(+), 20 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 2272b53..94fac01 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -24,8 +24,8 @@ danfo.DataFrame.**sort_values**(kwargs) \[[source](https://github.com/opensource
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
 
 
 let df = new dfd.DataFrame(data)
@@ -44,15 +44,15 @@ df.print()
 {% tab title="Output" %}
 ```
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -85,15 +85,15 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ -4                │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From b69a38cf321b81c0fc7c3538953df93ffb3f97cf Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:34:48 +0000
Subject: [PATCH 055/202] GitBook: No commit message

---
 SUMMARY.md                                    | 48 ++++++++---------
 api-reference/dataframe/dataframe.print.md    |  5 +-
 .../dataframe/dataframe.sort_values.md        |  4 +-
 api-reference/dataframe/dataframe.to_excel.md | 53 +++++++++++++++++++
 4 files changed, 83 insertions(+), 27 deletions(-)
 create mode 100644 api-reference/dataframe/dataframe.to_excel.md

diff --git a/SUMMARY.md b/SUMMARY.md
index c253e10..268ee82 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -4,22 +4,22 @@
 * [Getting Started](getting-started.md)
 * [API reference](api-reference/README.md)
   * [General Functions](api-reference/general-functions/README.md)
-    * [danfo.date\_range](api-reference/general-functions/danfo.date_range.md)
+    * [danfo.date_range](api-reference/general-functions/danfo.date_range.md)
     * [danfo.OneHotEncoder](api-reference/general-functions/danfo.onehotencoder.md)
     * [danfo.StandardScaler](api-reference/general-functions/danfo.standardscaler.md)
     * [danfo.MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md)
     * [danfo.LabelEncoder](api-reference/general-functions/danfo.labelencoder.md)
-    * [danfo.to\_datetime](api-reference/general-functions/danfo.to_datetime.md)
-    * [danfo.get\_dummies](api-reference/general-functions/danfo.get_dummies.md)
+    * [danfo.to_datetime](api-reference/general-functions/danfo.to_datetime.md)
+    * [danfo.get_dummies](api-reference/general-functions/danfo.get_dummies.md)
     * [danfo.concat](api-reference/general-functions/danfo.concat.md)
     * [danfo.merge](api-reference/general-functions/danfo.merge.md)
   * [Input/Output](api-reference/input-output/README.md)
-    * [danfo.read\_excel](api-reference/input-output/danfo.read_excel.md)
-    * [danfo.read\_json](api-reference/input-output/danfo.read_json.md)
-    * [danfo.read\_csv](api-reference/input-output/danfo.read_csv.md)
-    * [danfo.to\_csv](api-reference/input-output/danfo.to_csv.md)
-    * [danfo.to\_excel](api-reference/input-output/danfo.to_excel.md)
-    * [danfo.to\_json](api-reference/input-output/danfo.to_json.md)
+    * [danfo.read_excel](api-reference/input-output/danfo.read_excel.md)
+    * [danfo.read_json](api-reference/input-output/danfo.read_json.md)
+    * [danfo.read_csv](api-reference/input-output/danfo.read_csv.md)
+    * [danfo.to_csv](api-reference/input-output/danfo.to_csv.md)
+    * [danfo.to_excel](api-reference/input-output/danfo.to_excel.md)
+    * [danfo.to_json](api-reference/input-output/danfo.to_json.md)
   * [Series](api-reference/series/README.md)
     * [Creating a Series](api-reference/series/creating-a-series.md)
     * [Series.append](api-reference/series/series.append.md)
@@ -50,7 +50,7 @@
     * [Series.dt.seconds](api-reference/series/series.dt.second.md)
     * [Series.dt.minutes](api-reference/series/series.dt.minute.md)
     * [Series.dt.monthday](api-reference/series/series.dt.monthday.md)
-    * [Series.dt.month\_name](api-reference/series/series.dt.month_name.md)
+    * [Series.dt.month_name](api-reference/series/series.dt.month_name.md)
     * [Series.dt.hour](api-reference/series/series.dt.hour.md)
     * [Series.dt.weekdays](api-reference/series/series.dt.weekdays.md)
     * [Series.dt.day](api-reference/series/series.dt.day.md)
@@ -63,8 +63,8 @@
     * [Series.isna](api-reference/series/series.isna.md)
     * [Series.fillna](api-reference/series/series.fillna.md)
     * [Series.dropna](api-reference/series/series.dropna.md)
-    * [Series.drop\_duplicates](api-reference/series/series.drop_duplicates.md)
-    * [Series.value\_counts](api-reference/series/series.value_counts.md)
+    * [Series.drop_duplicates](api-reference/series/series.drop_duplicates.md)
+    * [Series.value_counts](api-reference/series/series.value_counts.md)
     * [Series.nunique](api-reference/series/series.nunique.md)
     * [Series.unique](api-reference/series/series.unique.md)
     * [Series.abs](api-reference/series/series.abs.md)
@@ -84,11 +84,11 @@
     * [Series.index](api-reference/series/series.index.md)
     * [Series.apply](api-reference/series/series.apply.md)
     * [Series.map](api-reference/series/series.map.md)
-    * [Series.set\_index](api-reference/series/series.set_index.md)
-    * [Series.reset\_index](api-reference/series/series.reset_index.md)
+    * [Series.set_index](api-reference/series/series.set_index.md)
+    * [Series.reset_index](api-reference/series/series.reset_index.md)
     * [Series.describe](api-reference/series/series.describe.md)
     * [Series.copy](api-reference/series/series.copy.md)
-    * [Series.sort\_values](api-reference/series/series.sort_values.md)
+    * [Series.sort_values](api-reference/series/series.sort_values.md)
     * [Series.var](api-reference/series/series.var.md)
     * [Series.std](api-reference/series/series.std.md)
     * [Series.round](api-reference/series/series.round.md)
@@ -114,16 +114,17 @@
     * [Series.or](api-reference/series/series.or.md)
   * [Dataframe](api-reference/dataframe/README.md)
     * [Creating a DataFrame](api-reference/dataframe/creating-a-dataframe.md)
-    * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort_index.md)
+    * [DataFrame.sort_index](api-reference/dataframe/dataframe.sort_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
     * [DataFrame.nunique](api-reference/dataframe/dataframe.nunique-1.md)
     * [DataFrame.tensor](api-reference/dataframe/dataframe.tensor.md)
     * [DataFrame.print](api-reference/dataframe/dataframe.print.md)
-    * [DataFrame.to\_csv](api-reference/dataframe/dataframe.to_csv.md)
-    * [DataFrame.to\_json](api-reference/dataframe/dataframe.to_json.md)
-    * [DataFrame.sort\_values](api-reference/dataframe/dataframe.sort_values.md)
-    * [DataFrame.set\_index](api-reference/dataframe/dataframe.set_index.md)
-    * [DataFrame.reset\_index](api-reference/dataframe/dataframe.reset_index.md)
+    * [DataFrame.to_csv](api-reference/dataframe/dataframe.to_csv.md)
+    * [DataFrame.to_json](api-reference/dataframe/dataframe.to_json.md)
+    * [DataFrame.to_excel](api-reference/dataframe/dataframe.to_excel.md)
+    * [DataFrame.sort_values](api-reference/dataframe/dataframe.sort_values.md)
+    * [DataFrame.set_index](api-reference/dataframe/dataframe.set_index.md)
+    * [DataFrame.reset_index](api-reference/dataframe/dataframe.reset_index.md)
     * [DataFrame.rename](api-reference/dataframe/dataframe.rename.md)
     * [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
     * [DataFrame.unique](api-reference/dataframe/dataframe.nunique.md)
@@ -133,7 +134,7 @@
     * [DataFrame.axes](api-reference/dataframe/dataframe.axes.md)
     * [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
     * [DataFrame.values](api-reference/dataframe/dataframe.values.md)
-    * [DataFrame.select\_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)
+    * [DataFrame.select_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)
     * [DataFrame.ctypes](api-reference/dataframe/dataframe.dtypes.md)
     * [DataFrame.index](api-reference/dataframe/dataframe.index.md)
     * [DataFrame.loc](api-reference/dataframe/danfo.dataframe.loc.md)
@@ -192,7 +193,7 @@
     * [Line Charts](api-reference/plotting/line-charts.md)
     * [Configuring your plots](api-reference/plotting/configuring-your-plots.md)
   * [Groupby](api-reference/groupby/README.md)
-    * [Groupby.get\_groups](api-reference/groupby/groupby.get_groups.md)
+    * [Groupby.get_groups](api-reference/groupby/groupby.get_groups.md)
     * [Groupby.col](api-reference/groupby/groupby.col.md)
     * [Groupby.max](api-reference/groupby/groupby.max.md)
     * [Groupby.min](api-reference/groupby/groupby.min.md)
@@ -212,4 +213,3 @@
 * [Building Data Driven Applications with Danfo.js - Book](building-data-driven-applications-with-danfo.js-book.md)
 * [Contributing Guide](contributing-guide.md)
 * [Release Notes](release-notes.md)
-
diff --git a/api-reference/dataframe/dataframe.print.md b/api-reference/dataframe/dataframe.print.md
index 415e45f..d03232d 100644
--- a/api-reference/dataframe/dataframe.print.md
+++ b/api-reference/dataframe/dataframe.print.md
@@ -1,6 +1,9 @@
 ---
-description: Pretty prints n number of rows in a DataFrame or Series to the console
+description: >-
+  Pretty prints default (10) number of rows in a DataFrame or Series to the
+  console
 ---
+
 # DataFrame.print
 
 danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 94fac01..8da51fe 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -66,8 +66,8 @@ df.print()
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
 
 
 let df = new dfd.DataFrame(data)
diff --git a/api-reference/dataframe/dataframe.to_excel.md b/api-reference/dataframe/dataframe.to_excel.md
new file mode 100644
index 0000000..4adf437
--- /dev/null
+++ b/api-reference/dataframe/dataframe.to_excel.md
@@ -0,0 +1,53 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# DataFrame.to_excel
+
+> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in a browser
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ fileName: "testOut.xlsx"});
+```

From b79cf0ca76385c9e4aef7488b13462622654f92c Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:36:40 +0000
Subject: [PATCH 056/202] GitBook: No commit message

---
 .../dataframe/dataframe.set_index.md          | 55 +++++--------------
 1 file changed, 13 insertions(+), 42 deletions(-)

diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3e1318e..deabe84 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -4,40 +4,19 @@ description: >-
   length).
 ---
 
-# DataFrame.set\_index
-
-danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>key</b>: This key can be either a single column name or a single array
-          of the same length as the calling DataFrame,</p>
-        <p><b>drop</b>: Delete columns to be used as the new index.</p>
-        <p><b>inplace</b>: specify whether to perform the operation to the row/column
-          with/without creating a new DataFrame</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>drop</b>: true, <b>inplace:</b>false}</td>
-    </tr>
-  </tbody>
-</table>
+# DataFrame.set_index
+
+danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                       | Default                             |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------- |
+| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to</p><p><strong>drop</strong>: Delete columns to be used as the new index.</p><p><strong>inplace</strong>: specify whether to perform the operation to the row/column with/without creating a new DataFrame</p><p>}</p> | {**drop**: true, **inplace:**false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+```
+   ****return **DataFrame**
+```
 
 ## **Examples**
 
@@ -46,7 +25,6 @@ danfo.DataFrame.**set\_index**\(kwargs\) \[[source](https://github.com/opensourc
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -59,21 +37,18 @@ df.print()
 
 df.set_index({column: "A", inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,21 +93,18 @@ df.print()
 let new_index = ["a", "b", "a"]
 df.set_index({column: new_index, inplace: true})
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,5 +131,4 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset\_index](dataframe.reset_index.md). 
-
+**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).

From 1d518807611ddf0bf8d8d9fa69024219b6f5e038 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:37:53 +0000
Subject: [PATCH 057/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.set_index.md | 12 +++---------
 1 file changed, 3 insertions(+), 9 deletions(-)

diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index deabe84..8bf81e2 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -8,15 +8,9 @@ description: >-
 
 danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                       | Default                             |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------- |
-| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to</p><p><strong>drop</strong>: Delete columns to be used as the new index.</p><p><strong>inplace</strong>: specify whether to perform the operation to the row/column with/without creating a new DataFrame</p><p>}</p> | {**drop**: true, **inplace:**false} |
-
-**Returns:**
-
-```
-   ****return **DataFrame**
-```
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
+| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
 
 ## **Examples**
 

From 03bebdc663ff1b8d0e8f965e5bb737d59761eb42 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:38:52 +0000
Subject: [PATCH 058/202] GitBook: No commit message

---
 .../dataframe/dataframe.set_index.md          | 95 ++++++++++++++-----
 1 file changed, 73 insertions(+), 22 deletions(-)

diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 8bf81e2..29f27b6 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -22,11 +22,11 @@ danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
 
 
-let df = new dfd.DataFrame(data, {index: ["a", "b", "a"]})
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
 df.print()
 
 df.set_index({column: "A", inplace: true})
@@ -43,28 +43,79 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ -20        │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 30         │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### ****
 
+### **Setting index to a column in the DataFrame and dropping the column**
 
-//after setting index
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
 
-╔══════╤═══════════════════╤═══════════════════╗
-║      │ B                 │ C                 ║
-╟──────┼───────────────────┼───────────────────╢
-║ -20  │ 34                │ 20                ║
-╟──────┼───────────────────┼───────────────────╢
-║ 30   │ -4                │ 20                ║
-╟──────┼───────────────────┼───────────────────╢
-║ 47.3 │ 5                 │ 30                ║
-╚══════╧═══════════════════╧═══════════════════╝
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
+df.print()
+
+df.set_index({column: "A", drinplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ -20        │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 30         │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From 442cc61e04e2a09cd1fcc5645ebeeb0598b23bc7 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:40:08 +0000
Subject: [PATCH 059/202] GitBook: No commit message

---
 .../dataframe/dataframe.set_index.md          | 20 +++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 29f27b6..3d1152d 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -83,7 +83,7 @@ let data = { "A": [-20, 30, 47.3],
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
 df.print()
 
-df.set_index({column: "A", drinplace: true})
+df.set_index({column: "A", drop: true, inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -107,15 +107,15 @@ df.print()
 ║ c          │ 47.3              │ 6                 │ 30                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ -20        │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 30         │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ -20        │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 30         │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From 8b01c35efb1e532250f6dc938487cdf6e41c557d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:41:02 +0000
Subject: [PATCH 060/202] GitBook: No commit message

---
 .../dataframe/dataframe.set_index.md          | 49 +++++++++----------
 1 file changed, 23 insertions(+), 26 deletions(-)

diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index 3d1152d..e82c213 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -128,15 +128,15 @@ df.print()
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+             "B": [34, -5, 6],
+             "C": [20, 3, 30] }
 
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let new_index = ["a", "b", "a"]
-df.set_index({column: new_index, inplace: true})
+let new_index = ["a", "b", "c"]
+df.set_index({index: new_index, inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -150,28 +150,25 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after setting the index
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From 9ef3c7c79099bcbd25e57662ab515c1f993fb1da Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:42:12 +0000
Subject: [PATCH 061/202] GitBook: No commit message

---
 .../dataframe/dataframe.reset_index.md         | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.reset_index.md b/api-reference/dataframe/dataframe.reset_index.md
index 7d5ff53..1a6c21c 100644
--- a/api-reference/dataframe/dataframe.reset_index.md
+++ b/api-reference/dataframe/dataframe.reset_index.md
@@ -1,18 +1,18 @@
 ---
-description: 'Reset the index of the DataFrame, and use the default one instead.'
+description: Reset the index of the DataFrame, and use the default one instead.
 ---
 
-# DataFrame.reset\_index
+# DataFrame.reset_index
 
-danfo.DataFrame.**reset\_index**\(inplace\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
+danfo.DataFrame.**reset_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| inplace | Boolean | **inplace**: specify whether to perform the operation to the row/column with/without creating a new DataFrame | false |
+| Parameters | Type   | Description                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object | <p><strong>{ </strong></p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -39,14 +39,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -73,4 +72,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 16596358694b79416f474f70600ad0a46b0058fa Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:42:31 +0000
Subject: [PATCH 062/202] GitBook: No commit message

---
 .../dataframe/dataframe.reset_index.md        | 55 +++++++++----------
 1 file changed, 27 insertions(+), 28 deletions(-)

diff --git a/api-reference/dataframe/dataframe.reset_index.md b/api-reference/dataframe/dataframe.reset_index.md
index 1a6c21c..00239fc 100644
--- a/api-reference/dataframe/dataframe.reset_index.md
+++ b/api-reference/dataframe/dataframe.reset_index.md
@@ -21,19 +21,20 @@ danfo.DataFrame.**reset_index**(options) \[[source](https://github.com/opensourc
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, 5, 6],
+    "C": [20, 3, 30]
+}
 
 
-let df = new dfd.DataFrame(data, {index: ["a", "b", "a"]})
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
 df.print()
 
-df.reset_index(true) //inplace
+df.reset_index({ inplace: true }) //inplace
 //df = df.reset_index() //not in inplace
 
 df.print()
-
 ```
 {% endtab %}
 
@@ -47,28 +48,26 @@ df.print()
 {% tab title="Output" %}
 ```
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after reseting index
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}

From db01cd31a9f90cd1c5931183ff2331db24d7995e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:43:37 +0000
Subject: [PATCH 063/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.rename.md | 47 +++++----------------
 1 file changed, 10 insertions(+), 37 deletions(-)

diff --git a/api-reference/dataframe/dataframe.rename.md b/api-reference/dataframe/dataframe.rename.md
index 2a26f85..652d189 100644
--- a/api-reference/dataframe/dataframe.rename.md
+++ b/api-reference/dataframe/dataframe.rename.md
@@ -7,44 +7,21 @@ description: >-
 
 # DataFrame.rename
 
-danfo.DataFrame.**rename**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>mapper</b>: Object of labels and transformations to apply to that axis&#x2019;
-          values.</p>
-        <p><b>axis</b>: row=0, columns=1.</p>
-        <p><b>inplace</b>: specify whether to perform the operation to the row/column
-          with/without creating a new DataFrame</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>axis</b>: 1, <b>inplace:</b>false}</td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
+| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
 ### Rename columns 
 
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -64,14 +41,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ new_name          │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -106,14 +82,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ new_name          │ B                 │ new_c             ║
@@ -149,14 +124,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -170,4 +144,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 181aa009efef266467d91ee943727ba251e85d65 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:44:50 +0000
Subject: [PATCH 064/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.rename.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/dataframe.rename.md b/api-reference/dataframe/dataframe.rename.md
index 652d189..8e20993 100644
--- a/api-reference/dataframe/dataframe.rename.md
+++ b/api-reference/dataframe/dataframe.rename.md
@@ -30,7 +30,7 @@ const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
              "B": [34, -4, 5],
-             "C": [20, 2, 3, 30] }
+             "C": [20, 2, 30] }
 
 
 let df = new dfd.DataFrame(data)
@@ -69,8 +69,8 @@ df.print()
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+             "B": [34, -4, 6],
+             "C": [20, 2, 30] }
 
 
 let df = new dfd.DataFrame(data)

From 0806698fb78861ce09c5269ff6c471816f7c9e69 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:45:20 +0000
Subject: [PATCH 065/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.rename.md | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/dataframe.rename.md b/api-reference/dataframe/dataframe.rename.md
index 8e20993..6625bc1 100644
--- a/api-reference/dataframe/dataframe.rename.md
+++ b/api-reference/dataframe/dataframe.rename.md
@@ -110,13 +110,15 @@ df.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5, 6],
-             "C": [20, 2, 3, 30] }
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, -4, 6],
+    "C": [20, 2, 30]
+}
 
 
-let df = new dfd.DataFrame(data, {index: ["a", "b", "a"]})
-df = df.rename({ mapper: {"a": 0}, axis: 0})
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
+df = df.rename({ mapper: { "a": 0 }, axis: 0 })
 df.print()
 
 ```

From 3bf789edffc9c72a88d99a8701479686e6659f63 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:46:23 +0000
Subject: [PATCH 066/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.drop.md | 47 +++++------------------
 1 file changed, 10 insertions(+), 37 deletions(-)

diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index 039a74b..385a4a7 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -6,44 +6,21 @@ description: >-
 
 # DataFrame.drop
 
-danfo.DataFrame.**drop**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>columns</b>: [Array(Columns| Index)] array of column names to drop</p>
-        <p><b>index</b>: [Array(Columns| Index)] index labels to drop</p>
-        <p><b>axis</b>: row=0, columns=1</p>
-        <p><b>inplace</b>: specify whether to drop the row/column with/without creating
-          a new DataFrame</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>axis</b>: 1, <b>inplace:</b>false}</td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                        | Default                          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------- |
+| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop</p><p><strong>index</strong>:  Arindex labels to drop</p><p><strong>inplace</strong>: specify whether to drop the row/column with/without creating a new DataFrame</p><p>}</p> | {**axis**: 1, **inplace:**false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
 ### Drop columns by specifying the names
 
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,14 +40,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ D                 ║
 ╟───┼───────────────────┼───────────────────╢
@@ -107,14 +83,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -147,14 +122,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -165,4 +139,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 0ee69fa7ece76699004d219b16033eac5790af0b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:47:31 +0000
Subject: [PATCH 067/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.drop.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index 385a4a7..e023311 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -8,9 +8,9 @@ description: >-
 
 danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                        | Default                          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------- |
-| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop</p><p><strong>index</strong>:  Arindex labels to drop</p><p><strong>inplace</strong>: specify whether to drop the row/column with/without creating a new DataFrame</p><p>}</p> | {**axis**: 1, **inplace:**false} |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
+| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
 
 **Returns:**
 

From f874b69e522ebd38ccf78fb832edbb0cc9d52d92 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:48:34 +0000
Subject: [PATCH 068/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.drop.md | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index e023311..3118b75 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -33,7 +33,7 @@ let data = { "A": [-20, 30, 47.3, -20],
              "D": ["a", "b", "c", "c"] }
 
 let df = new dfd.DataFrame(data)
-df.drop({ columns: ["C", "B"], axis: 1, inplace: true });
+df.drop({ columns: ["C", "B"], inplace: true });
 df.print()
 ```
 {% endtab %}
@@ -69,13 +69,15 @@ df.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
+let data = {
+    "A": [-20, 30, 47.3, -20],
+    "B": [34, -4, 5, 6],
+    "C": [20, 20, 30, 30],
+    "D": ["a", "b", "c", "c"]
+}
 
 let df = new dfd.DataFrame(data)
-df.drop({ index: [0, 2], axis: 0, inplace: true });
+df.drop({ index: [0, 2], inplace: true });
 df.print()
 
 ```

From 12eea58f998709a628a452dcfe3593fe952dd961 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:48:44 +0000
Subject: [PATCH 069/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.drop.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index 3118b75..2376308 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -116,7 +116,7 @@ let data = { "A": [-20, 30, 47.3, -20],
              "D": ["a", "b", "c", "c"] }
 
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.drop({ index: ["a", "c"], axis: 0, inplace: true });
+df.drop({ index: ["a", "c"], inplace: true });
 df.print()
 
 ```

From 3cb9ca1b858fdea83f5b78412580f65ab74f0c37 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:51:05 +0000
Subject: [PATCH 070/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.astype.md | 44 +++++----------------
 1 file changed, 10 insertions(+), 34 deletions(-)

diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index af73978..c32779f 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -4,35 +4,15 @@ description: Cast column of a DataFrame to a specified dtype.
 
 # DataFrame.astype
 
-danfo.DataFrame.**astype**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>column</b>: Array, label/column name of column to cast</p>
-        <p><b>dtype</b>: dtype to cast to. One of [string, float32, int32]</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {inpl   |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -61,14 +41,13 @@ df.ctypes.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //before casting
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
@@ -148,14 +127,13 @@ df.ctypes.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -184,7 +162,7 @@ df.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** Casting a string column of alphabets/words to numeric form will return NaNs as values
+**Note: **Casting a string column of alphabets/words to numeric form will return NaNs as values
 
 {% tabs %}
 {% tab title="Node" %}
@@ -208,14 +186,13 @@ df.ctypes.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
@@ -243,4 +220,3 @@ df.ctypes.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 22c8f9f308bf1001ef1fc163f60d80ccd4dfdd02 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:55:20 +0000
Subject: [PATCH 071/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.astype.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index c32779f..cdcffbe 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -6,9 +6,9 @@ description: Cast column of a DataFrame to a specified dtype.
 
 danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {inpl   |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
 
 **Returns:**
 

From fd5620b86bb5d4e2a86677228d8ac034caf20453 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:57:00 +0000
Subject: [PATCH 072/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.astype.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index cdcffbe..fb388a3 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -119,7 +119,7 @@ let df = new dfd.DataFrame(data)
 let df_new = df.astype({column: "D", dtype: "int32"})
 df_new.print()
 
-df.ctypes.print()
+df_new.ctypes.print()
 
 
 ```
@@ -178,7 +178,7 @@ let df = new dfd.DataFrame(data)
 let df_new = df.astype({column: "D", dtype: "int32"})
 df_new.print()
 
-df.ctypes.print()
+df_new.ctypes.print()
 
 
 ```

From 0a549c0e78ecbf2016c9c91148e5d4e0b5d657a8 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 16:57:51 +0000
Subject: [PATCH 073/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.axes.md | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/api-reference/dataframe/dataframe.axes.md b/api-reference/dataframe/dataframe.axes.md
index fbccf92..4bdc319 100644
--- a/api-reference/dataframe/dataframe.axes.md
+++ b/api-reference/dataframe/dataframe.axes.md
@@ -7,11 +7,11 @@ description: >-
 
 # DataFrame.axes
 
-danfo.DataFrame.**axes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
+danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-       ****return **Object**
+**       **return** Object**
 
 ## **Examples**
 
@@ -26,7 +26,7 @@ let data = {"A": [-20.1, 30, 47.3, -20],
             
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
 
-console.log(df.axes)
+console.log(df.axis)
 
 
 ```
@@ -34,16 +34,14 @@ console.log(df.axes)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 { index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
 ```
 {% endtab %}
 {% endtabs %}
-

From fa3de2bc3ace9240d97b9f5a9e2093076547d96f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:00:27 +0000
Subject: [PATCH 074/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.index.md | 17 +++++------------
 1 file changed, 5 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/dataframe.index.md b/api-reference/dataframe/dataframe.index.md
index cf14245..b5e817e 100644
--- a/api-reference/dataframe/dataframe.index.md
+++ b/api-reference/dataframe/dataframe.index.md
@@ -4,15 +4,11 @@ description: The index (row labels) of the DataFrame.
 
 # DataFrame.index
 
-danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)\]
-
-**Returns:**
-
-       ****return **new DataFrame**
+danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
 
 ## **Examples**
 
-Returns auto-generated ****index of a ****DataFrame
+Returns auto-generated** **index of a** **DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -30,20 +26,19 @@ console.log(df.index);
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [0, 1, 2, 3]
 ```
 {% endtab %}
 {% endtabs %}
 
-Returns set ****index of a ****DataFrame
+Returns set** **index of a** **DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,16 +56,14 @@ console.log(df.index);
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [ 'r1', 'r2', 'r3', 'r4' ]
 ```
 {% endtab %}
 {% endtabs %}
-

From e9ff3d3b18a7667f59a3009b19d4b9c5896901fc Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:00:57 +0000
Subject: [PATCH 075/202] GitBook: No commit message

---
 api-reference/dataframe/dataframe.index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/dataframe.index.md b/api-reference/dataframe/dataframe.index.md
index b5e817e..0983db8 100644
--- a/api-reference/dataframe/dataframe.index.md
+++ b/api-reference/dataframe/dataframe.index.md
@@ -38,7 +38,7 @@ console.log(df.index);
 {% endtab %}
 {% endtabs %}
 
-Returns set** **index of a** **DataFrame
+
 
 {% tabs %}
 {% tab title="Node" %}

From 5eac2977c3dc1084030be96395334bf4309766c3 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:02:34 +0000
Subject: [PATCH 076/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 45 +++++--------------
 1 file changed, 10 insertions(+), 35 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index f5fd6bf..4b5b76b 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -4,35 +4,15 @@ description: Access a group of rows and columns by label(s)
 
 # DataFrame.loc
 
-danfo.DataFrame.**loc**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>rows</b>: Array, labels of row index</p>
-        <p><b>columns</b>: Array, labels of column names</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                            | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -40,7 +20,7 @@ danfo.DataFrame.**loc**\(kwargs\) \[[source](https://github.com/opensource9ja/da
 
 Allowed inputs are:
 
-* A single label, e.g. `5` or `'a'`, \(note that `5` is interpreted as a _label_ of the index, and **not** as an integer position along the index\).
+* A single label, e.g. `5` or `'a'`, (note that `5` is interpreted as a _label_ of the index, and **not** as an integer position along the index).
 * A list or array of labels, e.g. `['a', 'b', 'c']`.
 
 ### **Index by specific rows and return all columns**
@@ -65,14 +45,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -120,14 +99,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -178,14 +156,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -213,5 +190,3 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-
-

From 495d7d97cfaa9bb715c2f15726744e56d411cff1 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:04:15 +0000
Subject: [PATCH 077/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 4b5b76b..4edc210 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -16,12 +16,18 @@ danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfoj
 
 ## **Examples**
 
-`.loc()` is primarily label based, but row index also accepts numeric slices
+`.loc()` is  label position based-from `0` to `length-1` of the row axis.
 
-Allowed inputs are:
+Allowed inputs fare:
 
-* A single label, e.g. `5` or `'a'`, (note that `5` is interpreted as a _label_ of the index, and **not** as an integer position along the index).
-* A list or array of labels, e.g. `['a', 'b', 'c']`.
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
+
+_**Note: **only** **the start label is included, and the end label is ignored. _
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
 
 ### **Index by specific rows and return all columns**
 

From e7e970261c16b5717a07cf3fd0b0576974934f09 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:04:43 +0000
Subject: [PATCH 078/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 4edc210..dcde330 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -18,7 +18,7 @@ danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfoj
 
 `.loc()` is  label position based-from `0` to `length-1` of the row axis.
 
-Allowed inputs fare:
+Allowed inputs for are:
 
 * An integer, e.g. `"r1"`.
 * A list or array of integers, e.g. `["a", "b", "d"]`.

From b7aeb03e0291b5b91e4e48dda8dde90cd36aaaed Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:05:51 +0000
Subject: [PATCH 079/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index dcde330..5c9594e 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -125,7 +125,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after slicing
+ //after indexing
 
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Count             │ Price             ║

From fb3b047559c03181075d6714ec7fe315016a6001 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:06:52 +0000
Subject: [PATCH 080/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 60 +++++++++++++++++++
 1 file changed, 60 insertions(+)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 5c9594e..ad432e8 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -196,3 +196,63 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
+### **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+df.print()
+let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+`s.loc([a:e]).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+`s.loc(["a":"e"]).print()`\
+\
+_**Quotes are not needed for numeric indices!**_
+{% endhint %}

From 3b94dd32f2e047e727fb73e12cb434dd91db0590 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:08:04 +0000
Subject: [PATCH 081/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index ad432e8..703d0a4 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -249,10 +249,10 @@ sub_df.print()
 {% endtabs %}
 
 {% hint style="info" %}
-Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
 `s.loc([a:e]).print()`\
 For the slice above to work, you must quote each slice, e.g:\
-`s.loc(["a":"e"]).print()`\
+``s.loc([`"a":"e"]).print()``\
 \
 _**Quotes are not needed for numeric indices!**_
 {% endhint %}

From cb2672aa821b8ccbbf5c8080d37268a86b7966bf Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:09:07 +0000
Subject: [PATCH 082/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 703d0a4..1ebb614 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -250,9 +250,9 @@ sub_df.print()
 
 {% hint style="info" %}
 Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-`s.loc([a:e]).print()`\
+df`.loc({ row: [a:e]}).print()`\
 For the slice above to work, you must quote each slice, e.g:\
-``s.loc([`"a":"e"]).print()``\
+df``.loc({ row: [`"a":"e"`]}).print()``\
 \
-_**Quotes are not needed for numeric indices!**_
+Inne_**Quotes are not needed for numeric indices!**_
 {% endhint %}

From cbb651a77d3e09a4cf99de895b794c43fa3a395a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:09:44 +0000
Subject: [PATCH 083/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 1ebb614..30c58a4 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -254,5 +254,5 @@ df`.loc({ row: [a:e]}).print()`\
 For the slice above to work, you must quote each slice, e.g:\
 df``.loc({ row: [`"a":"e"`]}).print()``\
 \
-Inne_**Quotes are not needed for numeric indices!**_
+_**Inner**_ _**quotes are not needed for numeric indices!**_
 {% endhint %}

From a6f154a4a6db2fbd22594ac4e517adf17f7ada8c Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:10:30 +0000
Subject: [PATCH 084/202] GitBook: No commit message

---
 api-reference/series/series.loc.md | 42 ++++++++++++++----------------
 1 file changed, 19 insertions(+), 23 deletions(-)

diff --git a/api-reference/series/series.loc.md b/api-reference/series/series.loc.md
index f4f292e..aa36e72 100644
--- a/api-reference/series/series.loc.md
+++ b/api-reference/series/series.loc.md
@@ -4,28 +4,28 @@ description: Access a group of rows by label(s) or a boolean array.
 
 # Series.loc
 
-danfo.Series.**loc**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |  |
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-`.loc()` is  label position based \(from `0` to `length-1` of the row axis\).
+`.loc()` is  label position based (from `0` to `length-1` of the row axis).
 
 Allowed inputs are:
 
 * An integer, e.g. `"r1"`.
 * A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false \]
+* A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
-_**Note:** only ****the start label is included, and the end label is ignored._ 
+_**Note: **only** **the start label is included, and the end label is ignored. _
 
 `.loc` will raise a `ValueEror` if a requested label is not found.
 
@@ -49,14 +49,13 @@ s.loc(["a", "g"]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═════╗
 ║ a │ 12  ║
 ╟───┼─────╢
@@ -86,7 +85,7 @@ s.loc(["a", "g"]).print()
 
 ### **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end\], e.g **\[\`"a":"e"\`\]**. This will return all values from label positions `a` to `e`. 
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -104,14 +103,13 @@ s.loc([`"a":"e"`]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═════╗
 ║ a │ 12  ║
 ╟───┼─────╢
@@ -126,12 +124,12 @@ s.loc([`"a":"e"`]).print()
 {% endtabs %}
 
 {% hint style="info" %}
-Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:  
-`s.loc([a:e]).print()`  
-For the slice above to work, you must quote each slice, e.g:  
-`s.loc(["a":"e"]).print()`  
-  
-_**Quotes are not needed for numeric indices!**_
+Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+`s.loc([a:e]).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+`s.loc(["a":"e"]).print()`\
+\
+_**Inner quotes are not needed for numeric indices!**_
 {% endhint %}
 
 ### By specifying a start index in a slice, all values after that index are returned. 
@@ -148,14 +146,13 @@ s.loc([`1:`]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═════╗
 ║ 1 │ 34  ║
 ╟───┼─────╢
@@ -190,7 +187,7 @@ s.loc(s.gt(20)).print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤════╗
 ║ 1 │ 34 ║
 ╟───┼────╢
@@ -199,4 +196,3 @@ s.loc(s.gt(20)).print()
 ║ 5 │ 30 ║
 ╚═══╧════╝
 ```
-

From e69628db637efe6dfccb7692e0171bcef05f459a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:11:33 +0000
Subject: [PATCH 085/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 28 +++++++++++++++++--
 1 file changed, 26 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 30c58a4..f729bfb 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -196,9 +196,9 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-### **Index by a slice of row**
+## **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -256,3 +256,27 @@ df``.loc({ row: [`"a":"e"`]}).print()``\
 \
 _**Inner**_ _**quotes are not needed for numeric indices!**_
 {% endhint %}
+
+### Slice DataFrame rby boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.loc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```

From 2418a0891ceddb1422f7f6ade262f91a39adcffe Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:14:26 +0000
Subject: [PATCH 086/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 27 ++++++++++++-------
 1 file changed, 17 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index f729bfb..69aa95b 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -257,26 +257,33 @@ df``.loc({ row: [`"a":"e"`]}).print()``\
 _**Inner**_ _**quotes are not needed for numeric indices!**_
 {% endhint %}
 
-### Slice DataFrame rby boolean condition 
+### Slice DataFrame rows by boolean condition 
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
 
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.loc(s.gt(20)).print()
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let sub_df = df.loc({ rows: df["Count"].gt(10) })
+sub_df.print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```

From 0818c61135744ecbd62fae9650739a2e147d76f2 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:15:25 +0000
Subject: [PATCH 087/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 33 +++++++++++++++++++
 1 file changed, 33 insertions(+)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 69aa95b..ba18be7 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -287,3 +287,36 @@ sub_df.print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 ```
+
+### Slice DataFrame rows by multiple boolean conditions
+
+By design, you can chain as many boolean logic as possible, as long as they resolve to a B 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let sub_df = df.loc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```

From 12ce1fde1d38915b7d11f98e4a08758e92a5f177 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:16:27 +0000
Subject: [PATCH 088/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index ba18be7..3d32d0b 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -290,7 +290,9 @@ sub_df.print()
 
 ### Slice DataFrame rows by multiple boolean conditions
 
-By design, you can chain as many boolean logic as possible, as long as they resolve to a B 
+{% hint style="info" %}
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+{% endhint %}
 
 {% tabs %}
 {% tab title="Node" %}
@@ -304,7 +306,8 @@ let data = {
 }
 
 let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.loc({ rows: df["Count"].gt(10) })
+let condition = df["Count"].gt(6).and(df["Price"].lt(250))
+let sub_df = df.loc({ rows: condition })
 sub_df.print()
 ```
 {% endtab %}

From e1cc1c10e5ee2e6ea0bfb627dc875e395afd2f9b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:17:27 +0000
Subject: [PATCH 089/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.loc.md          | 41 ++++++++++++++++++-
 1 file changed, 40 insertions(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 3d32d0b..266df6e 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -271,7 +271,7 @@ let data = {
 }
 
 let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.loc({ rows: df["Count"].gt(10) })
+let sub_df = df.loc({ rows: df["Count"].gt(6) })
 sub_df.print()
 ```
 {% endtab %}
@@ -284,8 +284,11 @@ sub_df.print()
 ║ a          │ Apples            │ 21                │ 200               ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 
 ### Slice DataFrame rows by multiple boolean conditions
@@ -323,3 +326,39 @@ sub_df.print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 ```
+
+### Slice DataFrame with 
+
+{% hint style="info" %}
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let condition = df["Count"].gt(6).and(df["Price"].lt(250))
+let sub_df = df.loc({ rows: condition })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```

From c7bbc442c661db2884178f783fc7d62f01d10247 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:18:41 +0000
Subject: [PATCH 090/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 266df6e..ad3b897 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -327,10 +327,10 @@ sub_df.print()
 
 ```
 
-### Slice DataFrame with 
+### Slice DataFrame with boolean mask
 
 {% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+_You can index a DataFrame with an array of boolean values as long as they resolve to a Boolean array of the same length as the DataFrame. _
 {% endhint %}
 
 {% tabs %}

From 481a970ba85d2391386e9748f8b8ffee2ea75c0b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:19:25 +0000
Subject: [PATCH 091/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.loc.md | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index ad3b897..88d7556 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -330,7 +330,7 @@ sub_df.print()
 ### Slice DataFrame with boolean mask
 
 {% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to a Boolean array of the same length as the DataFrame. _
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
 {% endhint %}
 
 {% tabs %}
@@ -345,8 +345,8 @@ let data = {
 }
 
 let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let condition = df["Count"].gt(6).and(df["Price"].lt(250))
-let sub_df = df.loc({ rows: condition })
+
+let sub_df = df.loc({ rows: [false, true, true, true] })
 sub_df.print()
 ```
 {% endtab %}
@@ -356,9 +356,12 @@ sub_df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ Name              │ Count             │ Price             ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
+║ b          │ Mango             │ 5                 │ 300               ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
+
 ```

From 69b091c51b7c622ce706546487b4d27b15f39cd2 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:20:36 +0000
Subject: [PATCH 092/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.iloc.md         | 57 +++++--------------
 1 file changed, 15 insertions(+), 42 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index 714537a..73eee00 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -4,45 +4,26 @@ description: Purely integer-location based indexing for selection by position.
 
 # DataFrame.iloc
 
-danfo.DataFrame.**iloc**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>rows</b>: Array, index of row position</p>
-        <p><b>columns</b>: Array, index of position along columns</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                         | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-`.iloc()` is primarily integer position based \(from `0` to `length-1` of the axis\).
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
 
 Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
 * A string slice object with ints, e.g. `"1:7"`
+* A `callable` function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above). This is useful in method chains, when you don't have a reference to the calling object, but would like to base your selection on some value.
 
 _**Note:** only the start index is included._
 
@@ -69,14 +50,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -92,7 +72,7 @@ sub_df.print()
 
 ### **Index by a slice of row and return all columns**
 
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3.  The end index is not included. 
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 4]". This will return all values between index position 1 and 3.  The end index is not included. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -111,14 +91,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -152,14 +131,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -209,14 +187,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -266,14 +243,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -322,14 +298,13 @@ sub_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -356,5 +331,3 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-
-

From 5e901352cd2d19049a9ff50fec37f0f01b49fb2f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:20:55 +0000
Subject: [PATCH 093/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.iloc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index 73eee00..dce97b0 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -23,7 +23,7 @@ Allowed inputs are:
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
 * A string slice object with ints, e.g. `"1:7"`
-* A `callable` function with one argument (the calling Series or DataFrame) and that returns valid output for indexing (one of the above). This is useful in method chains, when you don't have a reference to the calling object, but would like to base your selection on some value.
+* A boolean array.
 
 _**Note:** only the start index is included._
 

From 07195c7932985acb89cc9cd4ef505f84844c1ae0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:22:23 +0000
Subject: [PATCH 094/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.iloc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index dce97b0..6b41cd0 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -72,7 +72,7 @@ sub_df.print()
 
 ### **Index by a slice of row and return all columns**
 
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 4]". This will return all values between index position 1 and 3.  The end index is not included. 
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included. 
 
 {% tabs %}
 {% tab title="Node" %}

From 6fc0e066be7d5b04d215d075773683e8a8e414ca Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:23:21 +0000
Subject: [PATCH 095/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.iloc.md | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index 6b41cd0..eacbc99 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -208,7 +208,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after slice
+ //after indexing
 
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Count             │ Price             ║
@@ -263,8 +263,6 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- Shape: (1,1) 
-
 ╔═══╤═══════════════════╗
 ║   │ Count             ║
 ╟───┼───────────────────╢

From df598fae9c69901467a511420f23892b9fa37c44 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:24:25 +0000
Subject: [PATCH 096/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.iloc.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index eacbc99..f8e0f4c 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -272,7 +272,7 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-### More default slicing behaviour
+### More default slicing behavior
 
 If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
 

From 272c95c8d5bc255c8fb8b5da1783d038fc190b93 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:26:03 +0000
Subject: [PATCH 097/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.iloc.md         | 108 ++++++++++++++++++
 1 file changed, 108 insertions(+)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index f8e0f4c..7cdd77c 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -329,3 +329,111 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
+### iloc indexing of DataFrame rows by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let sub_df = df.iloc({ rows: df["Count"].gt(6) })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
+### Slice DataFrame rows by multiple boolean conditions
+
+{% hint style="info" %}
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let condition = df["Count"].gt(6).and(df["Price"].lt(250))
+let sub_df = df.loc({ rows: condition })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+### Slice DataFrame with boolean mask
+
+{% hint style="info" %}
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+
+let sub_df = df.loc({ rows: [false, true, true, true] })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```

From 1f803ac9504e4155fc400e839ea6488d1370138e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:26:38 +0000
Subject: [PATCH 098/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.iloc.md         | 108 ------------------
 1 file changed, 108 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index 7cdd77c..f8e0f4c 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -329,111 +329,3 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-### iloc indexing of DataFrame rows by boolean condition 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.iloc({ rows: df["Count"].gt(6) })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-### Slice DataFrame rows by multiple boolean conditions
-
-{% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let condition = df["Count"].gt(6).and(df["Price"].lt(250))
-let sub_df = df.loc({ rows: condition })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-### Slice DataFrame with boolean mask
-
-{% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-
-let sub_df = df.loc({ rows: [false, true, true, true] })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```

From 030a2e619d29ce5fc1c58ef5af45420a23c8b93f Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:28:05 +0000
Subject: [PATCH 099/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sample.md        | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index 0a0f76e..8636b3a 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -4,19 +4,21 @@ description: Return a random sample of rows from DataFrame.
 
 # DataFrame.sample
 
-danfo.DataFrame.**sample**\(num, seed\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)\]
+danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | Int | The number of rows to return. Defaults to -1, which shuffles and return all rows.  | -1 |
-| seed | int | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1 |
+| Parameters | Type | Description                                                                                                                        | Default |
+| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
+| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
 
 **Returns:**
 
-       ****return **{Promies} resolves to DataFrame**
+**       **return** {Promies} resolves to DataFrame**
 
 ## **Examples**
 
+**Sam**
+
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
@@ -41,14 +43,13 @@ load_data()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -59,4 +60,3 @@ load_data()
 ```
 {% endtab %}
 {% endtabs %}
-

From e6f350950f6ce6fac89bd5f1c5c134823d18ffe8 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:29:07 +0000
Subject: [PATCH 100/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sample.md       | 48 ++++++++++++++++++-
 1 file changed, 46 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index 8636b3a..0418943 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -15,9 +15,9 @@ danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9j
 
 **       **return** {Promies} resolves to DataFrame**
 
-## **Examples**
+****
 
-**Sam**
+## Sample a DataFrame randomly
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,3 +60,47 @@ load_data()
 ```
 {% endtab %}
 {% endtabs %}
+
+## Sample a DataFrame randomly wit
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+  let data = {
+    Name: ["Apples", "Mango", "Banana", "Pear"],
+    Count: [21, 5, 30, 10],
+    Price: [200, 300, 40, 250],
+  };
+
+  let df = new dfd.DataFrame(data);
+  let s_df = await df.sample(2);
+  s_df.print();
+  
+}
+
+load_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+
+```
+{% endtab %}
+{% endtabs %}

From 160c300b159687029e6606ea4d7cde2dd398a15e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:30:09 +0000
Subject: [PATCH 101/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sample.md       | 22 ++++++++++---------
 1 file changed, 12 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index 0418943..ba2498f 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -61,7 +61,9 @@ load_data()
 {% endtab %}
 {% endtabs %}
 
-## Sample a DataFrame randomly wit
+## Sample a DataFrame randomly with seed
+
+By setting a seed when using `sample`, you can ensure that the random-sampling is reproduc
 
 {% tabs %}
 {% tab title="Node" %}
@@ -69,16 +71,16 @@ load_data()
 const dfd = require("danfojs-node")
 
 async function load_data() {
-  let data = {
-    Name: ["Apples", "Mango", "Banana", "Pear"],
-    Count: [21, 5, 30, 10],
-    Price: [200, 300, 40, 250],
-  };
+    let data = {
+        Name: ["Apples", "Mango", "Banana", "Pear"],
+        Count: [21, 5, 30, 10],
+        Price: [200, 300, 40, 250],
+    };
+
+    let df = new dfd.DataFrame(data);
+    let s_df = await df.sample(3, { seed: 2 });
+    s_df.print();
 
-  let df = new dfd.DataFrame(data);
-  let s_df = await df.sample(2);
-  s_df.print();
-  
 }
 
 load_data()

From 6c5ccd1aefc54f6996918ed26c0f4f874f10f3b8 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:30:44 +0000
Subject: [PATCH 102/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sample.md        | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index ba2498f..73e057a 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -63,7 +63,7 @@ load_data()
 
 ## Sample a DataFrame randomly with seed
 
-By setting a seed when using `sample`, you can ensure that the random-sampling is reproduc
+By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -96,12 +96,16 @@ load_data()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 
 ```
 {% endtab %}

From 385b353955975f028c15f0cae3a04ab6b80514aa Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:31:54 +0000
Subject: [PATCH 103/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.add.md          | 36 ++++++++-----------
 1 file changed, 15 insertions(+), 21 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index 3277882..a4ac6bc 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -1,23 +1,23 @@
 ---
-description: 'Get Addition of DataFrame and other, element-wise (binary operator add).'
+description: Get Addition of DataFrame and other, element-wise (binary operator add).
 ---
 
 # DataFrame.add
 
-danfo.DataFrame.**add**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)\]
+danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                           | Default      |
+| ---------- | ---------------------------------- | --------------------------------------------------------------------- | ------------ |
+| other      | DataFrame, Series, Array or Scalar | Object to ad with                                                     |              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column</p><p>}</p> | { axis: 1 }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Addition of **scalar to** DataFrame:
+### Addition of** scalar to **DataFrame:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -59,7 +58,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of  **Series to** DataFrame along the column axis:
+### Addition of**  Series to **DataFrame along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -81,14 +80,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -104,7 +102,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of  ****DataFrame to a DataFrame
+### Addition of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -129,14 +127,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -152,7 +149,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of ****JavaScript Array to DataFrame
+### Addition of** **JavaScript Array to DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -173,14 +170,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -196,5 +192,3 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-
-

From ec5d993ecea1f7bb0a181701cfe8696ddf1b9f44 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:33:33 +0000
Subject: [PATCH 104/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.add.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index a4ac6bc..345717d 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -6,10 +6,10 @@ description: Get Addition of DataFrame and other, element-wise (binary operator
 
 danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type                               | Description                                                           | Default      |
-| ---------- | ---------------------------------- | --------------------------------------------------------------------- | ------------ |
-| other      | DataFrame, Series, Array or Scalar | Object to ad with                                                     |              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column</p><p>}</p> | { axis: 1 }  |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
@@ -17,7 +17,7 @@ danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9
 
 ## **Examples**
 
-### Addition of** scalar to **DataFrame:
+### Addition of** scalar to **DataFrame al
 
 {% tabs %}
 {% tab title="Node" %}

From 43414720e68c902efed0e7e6f86ccbd5a3498c13 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:34:27 +0000
Subject: [PATCH 105/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.add.md | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index 345717d..b176403 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -17,15 +17,17 @@ danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9
 
 ## **Examples**
 
-### Addition of** scalar to **DataFrame al
+### Addition of** scalar to **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10], 
-            {"Col2": [23, 20, 10, 24]}
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
 let df_new = df.add(2)
@@ -58,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  Series to **DataFrame along the column axis:
+### Addition of**  Series to **DataFrame along the row axis
 
 {% tabs %}
 {% tab title="Node" %}

From 726a8cbd0648f5f61822958e97247f875da47d1d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:35:47 +0000
Subject: [PATCH 106/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.add.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index b176403..f2f93cc 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  Series to **DataFrame along the row axis
+### Addition of**  Series to **DataFrame along the row axis 0
 
 {% tabs %}
 {% tab title="Node" %}

From 1e2d84c77fdb6264534eb08ecf08031df674ee25 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:36:49 +0000
Subject: [PATCH 107/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.add.md | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index f2f93cc..557d7e0 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -60,21 +60,22 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  Series to **DataFrame along the row axis 0
+### Addition of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = { "Col1": [1, 4, 5, 1],
-             "Col2": [3, 2, 0, 4] }
-             
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.add(sf, axis = 1)
+let df_new = df.add(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -151,7 +152,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of** **JavaScript Array to DataFrame
+### Addition of** ** Array to DataFrame along 
 
 {% tabs %}
 {% tab title="Node" %}

From 827408552699fa36ed7d6ecd8b3dcf92d3743aa4 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:38:23 +0000
Subject: [PATCH 108/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.add.md          | 37 ++++++++++---------
 1 file changed, 20 insertions(+), 17 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index 557d7e0..ab33851 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -152,20 +152,22 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of** ** Array to DataFrame along 
+### Addition of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
 let df = new dfd.DataFrame(data)
-let val = [2,2]
+let val = [2, 2, 2, 2]
 
-let df_new = df.add(val, axis=1)
+let df_new = df.add(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -180,17 +182,18 @@ df_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 25                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 47                │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 58                │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 26                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}

From 295cdb068ac27586adaf93e043f344defacf2291 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:39:26 +0000
Subject: [PATCH 109/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.add.md          | 46 +++++++++++++++++++
 1 file changed, 46 insertions(+)

diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index ab33851..467c143 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -198,3 +198,49 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
+### Addition works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.add(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+

From 3a5ae78d99ef55de3cd5d166ffa325a812c9c63b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:40:48 +0000
Subject: [PATCH 110/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sub.md          | 174 +++++++++++-------
 1 file changed, 110 insertions(+), 64 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index 439c9cb..bfa7be7 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -1,31 +1,33 @@
 ---
-description: 'Get Subtraction of dataframe and other, element-wise (binary operator sub).'
+description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
 ---
 
 # DataFrame.sub
 
-danfo.DataFrame.**sub**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L365)\]
+danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Subtraction of **scalar from** DataFrame:
+### Subtraction of** scalar to **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
 let df_new = df.sub(2)
@@ -36,44 +38,44 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 8                 │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 43                │ 18                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 54                │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 8                 │ 22                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of  **Series from** DataFrame along the column axis:
+### Addition of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = { "Col1": [1, 4, 5, 1],
-             "Col2": [3, 2, 0, 4] }
-             
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -81,37 +83,36 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
-║ 0 │ -3                │ -2                ║
+║ 0 │ 5                 │ 8                 ║
 ╟───┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ -3                ║
+║ 1 │ 8                 │ 7                 ║
 ╟───┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ -5                ║
+║ 2 │ 9                 │ 5                 ║
 ╟───┼───────────────────┼───────────────────╢
-║ 3 │ -3                │ -1                ║
+║ 3 │ 5                 │ 9                 ║
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of  ****DataFrame from a DataFrame
+### Addition of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
+const dfd = require("danfojs")
 
-let data = {"Col1": [1, 4, 5, 0],
+let data = {"Col1": [1, 4, 5, 0], 
             "Col2": [2, 0, 1, 4]}
             
 let data2 = {"new_col1": [1, 5, 20, 10],
@@ -120,7 +121,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.sub(df2)
+let df_new = df.add(df2)
 
 df_new.print()
 
@@ -129,43 +130,44 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ -18               ║
+║ 0 │ 2                 │ 22                ║
 ╟───┼───────────────────┼───────────────────╢
-║ 1 │ -1                │ -2                ║
+║ 1 │ 9                 │ 2                 ║
 ╟───┼───────────────────┼───────────────────╢
-║ 2 │ -15               │ 0                 ║
+║ 2 │ 25                │ 2                 ║
 ╟───┼───────────────────┼───────────────────╢
-║ 3 │ -10               │ 2                 ║
+║ 3 │ 10                │ 6                 ║
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of ****JavaScript Array from Array
+### Addition of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs")
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
 let df = new dfd.DataFrame(data)
-let val = [2,2]
+let val = [2, 2, 2, 2]
 
-let df_new = df.sub(val, axis=1)
+let df_new = df.add(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -173,28 +175,72 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 8                 │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 43                │ 18                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 54                │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 8                 │ 22                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
+### Addition works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.add(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
 
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
 

From 6a7dcc08b500038419e14995d5b7e4f5d94a8a8e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:41:47 +0000
Subject: [PATCH 111/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sub.md          | 54 ++++++++++---------
 1 file changed, 28 insertions(+), 26 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index bfa7be7..bc11145 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  Series to **DataFrame along axis 0
+### Subtraction of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -90,22 +90,23 @@ df_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 8                 │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 9                 │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ -3                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ -3                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ -5                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -3                │ -1                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  **DataFrame to a DataFrame
+### Subtraction of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -121,7 +122,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.add(df2)
+let df_new = df.sub(df2)
 
 df_new.print()
 
@@ -137,22 +138,23 @@ df_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 2                 │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 9                 │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 25                │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ -18               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ -1                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ -15               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -10               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Addition of** ** Array to DataFrame along axis 0
+### Subtract of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}

From 06246fb0caa6b5d547dccbd1a2c327c01413498b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:42:52 +0000
Subject: [PATCH 112/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.sub.md          | 26 ++++++++++---------
 1 file changed, 14 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index bc11145..e595e57 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -154,7 +154,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtract of** ** Array to DataFrame along axis 0
+### Subtraction of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -169,7 +169,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-let df_new = df.add(val, { axis: 0 })
+let df_new = df.sub(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -187,20 +187,21 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
+║ 0          │ 8                 │ 21                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
+║ 1          │ 43                │ 18                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
+║ 2          │ 54                │ 8                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
+║ 3          │ 8                 │ 22                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Addition works inplace
+### Subtraction works inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -215,7 +216,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-df.add(val, { axis: 0, inplace: true })
+df.sub(val, { axis: 0, inplace: true })
 
 df.print()
 ```
@@ -233,15 +234,16 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
+║ 0          │ 8                 │ 21                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
+║ 1          │ 43                │ 18                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
+║ 2          │ 54                │ 8                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
+║ 3          │ 8                 │ 22                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 {% endtab %}
 {% endtabs %}

From 3697da58771c916f9477aaba591de4259f648c6a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:43:17 +0000
Subject: [PATCH 113/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mul.md          | 207 +++++++++++-------
 1 file changed, 129 insertions(+), 78 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 6f042d0..32ffdb2 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -1,34 +1,36 @@
 ---
-description: 'Get Multiplication of dataframe and other, element-wise (binary operator mul).'
+description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
 ---
 
 # DataFrame.mul
 
-danfo.DataFrame.**mul**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L383)\]
+danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Multiplication of ****DataFrame with a scalar value:
+### Subtraction of** scalar to **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
-let df_new = df.mul(2)
+let df_new = df.sub(2)
 
 df_new.print()
 ```
@@ -36,44 +38,44 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ 46                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 90                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 112               │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 48                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of  ****DataFrame with a Series along the column axis:
+### Subtraction of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = { "Col1": [1, 4, 5, 1],
-             "Col2": [3, 2, 0, 4] }
-             
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.mul(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -81,36 +83,37 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 4                 │ 15                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 16                │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 4                 │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ -3                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ -3                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ -5                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -3                │ -1                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of  ****DataFrame with a DataFrame
+### Subtraction of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
-let data = {"Col1": [1, 4, 5, 0],
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
             "Col2": [2, 0, 1, 4]}
             
 let data2 = {"new_col1": [1, 5, 20, 10],
@@ -119,7 +122,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.mul(df2)
+let df_new = df.sub(df2)
 
 df_new.print()
 
@@ -128,43 +131,45 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 100               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ -18               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ -1                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ -15               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -10               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of ****DataFrame with a JavaScript Array
+### Subtraction of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
 let df = new dfd.DataFrame(data)
-let val = [2,2]
+let val = [2, 2, 2, 2]
 
-let df_new = df.mul(val, axis=1)
+let df_new = df.sub(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -172,28 +177,74 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ 46                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 90                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 112               │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 48                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.sub(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
 ```
 {% endtab %}
 {% endtabs %}
 
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 
+```
+{% endtab %}
+{% endtabs %}
 

From a655a2b60d644ea7a0469a605758124a7709ab03 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:44:47 +0000
Subject: [PATCH 114/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mul.md          | 20 +++++++++----------
 .../dataframe/danfo.dataframe.sub.md          |  2 +-
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 32ffdb2..869a938 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -17,7 +17,7 @@ danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/d
 
 ## **Examples**
 
-### Subtraction of** scalar to **DataFrame along default axis 1
+### Multiplication of** scalar to **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -30,7 +30,7 @@ let data = {
 }
 let df = new dfd.DataFrame(data)
 
-let df_new = df.sub(2)
+let df_new = df.mul(2)
 
 df_new.print()
 ```
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of**  Series to **DataFrame along axis 0
+### Multiplication of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -75,7 +75,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, { axis: 1 })
+let df_new = df.mul(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -106,7 +106,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of**  **DataFrame to a DataFrame
+### Multiplication of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,7 +122,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.sub(df2)
+let df_new = df.mul(df2)
 
 df_new.print()
 
@@ -154,7 +154,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of** ** Array to DataFrame along axis 0
+### Multiplication of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -169,7 +169,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-let df_new = df.sub(val, { axis: 0 })
+let df_new = df.mul(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -201,7 +201,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction works inplace
+### Multiplication works inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -216,7 +216,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-df.sub(val, { axis: 0, inplace: true })
+df.mul(val, { axis: 0, inplace: true })
 
 df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index e595e57..aded5cb 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -4,7 +4,7 @@ description: Get Subtraction of dataframe and other, element-wise (binary operat
 
 # DataFrame.sub
 
-danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
 | Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
 | ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |

From 29ea830cf35c1db9e2aff4e9307c08df2091ffc0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:45:38 +0000
Subject: [PATCH 115/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mul.md          | 25 ++++++++++---------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 869a938..380ccef 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -48,13 +48,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
+║ 0          │ 20                │ 46                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
+║ 1          │ 90                │ 40                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
+║ 2          │ 112               │ 20                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
+║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
@@ -93,13 +93,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ -3                │ -2                ║
+║ 0          │ 4                 │ 15                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ -3                ║
+║ 1          │ 16                │ 10                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ -5                ║
+║ 2          │ 20                │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -3                │ -1                ║
+║ 3          │ 4                 │ 20                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 ```
@@ -141,15 +141,16 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ -18               ║
+║ 0          │ 1                 │ 40                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ -1                │ -2                ║
+║ 1          │ 20                │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ -15               │ 0                 ║
+║ 2          │ 100               │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -10               │ 2                 ║
+║ 3          │ 0                 │ 8                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 {% endtab %}
 {% endtabs %}

From 0644568bc677b0cf227dcfd17f4c1564d5bd9451 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:46:00 +0000
Subject: [PATCH 116/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.mul.md | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 380ccef..3627b59 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -188,16 +188,17 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
+║ 0          │ 20                │ 46                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
+║ 1          │ 90                │ 40                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
+║ 2          │ 112               │ 20                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
+║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -235,13 +236,13 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
+║ 0          │ 20                │ 46                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
+║ 1          │ 90                │ 40                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
+║ 2          │ 112               │ 20                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
+║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 

From db6fe88d02c648cc053a683418070b300f11c142 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:47:05 +0000
Subject: [PATCH 117/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.div.md          | 202 +++++++++++-------
 1 file changed, 126 insertions(+), 76 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index e6977b7..ae9df76 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -6,29 +6,30 @@ description: >-
 
 # DataFrame.div
 
-danfo.DataFrame.**div**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L401)\]
+danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Division of ****DataFrame with a scalar value:
+### Division of** scalar to **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
 let df_new = df.div(2)
@@ -39,44 +40,44 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 11.5              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 22.5              │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 28                │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 12                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of  ****DataFrame with a Series along the column axis:
+### Division of**  Series to **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = { "Col1": [1, 4, 5, 1],
-            "Col2": [3, 2, 0, 4] }
-            
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.div(sf, axis = 1)
+let df_new = df.div(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -84,38 +85,37 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0.25              │ 0.60000002384...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 0.40000000596...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 1.25              │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0.25              │ 0.80000001192...  ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 4                 │ 15                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 16                │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 4                 │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of  ****DataFrame with a DataFrame
+### Division of**  **DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
+const dfd = require("danfojs")
 
-let data = {"Col1": [1, 4, 5, 0],
+let data = {"Col1": [1, 4, 5, 0], 
             "Col2": [2, 0, 1, 4]}
             
 let data2 = {"new_col1": [1, 5, 20, 10],
@@ -133,43 +133,46 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0.10000000149...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 0.80000001192...  │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 0.25              │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 100               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 8                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of ****DataFrame with a JavaScript Array
+### Division of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
 let df = new dfd.DataFrame(data)
-let val = [2,2]
+let val = [2, 2, 2, 2]
 
-let df_new = df.div(val, axis=1)
+let df_new = df.div(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -177,28 +180,75 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 11.5              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 22.5              │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 28                │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 12                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.div(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
 ```
 {% endtab %}
 {% endtabs %}
 
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 
+```
+{% endtab %}
+{% endtabs %}
 

From 4a23b0a95a8f86b992fe26a3c61e9d8d3ba24566 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:48:09 +0000
Subject: [PATCH 118/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.div.md | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index ae9df76..8ba7875 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -50,14 +50,15 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
+║ 0          │ 5                 │ 11.5              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
+║ 1          │ 22.5              │ 10                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
+║ 2          │ 28                │ 5                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
+║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -95,15 +96,16 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 4                 │ 15                ║
+║ 0          │ 0.25              │ 0.6000000238418…  ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 16                │ 10                ║
+║ 1          │ 1                 │ 0.4000000059604…  ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 0                 ║
+║ 2          │ 1.25              │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 4                 │ 20                ║
+║ 3          │ 0.25              │ 0.8000000119209…  ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 {% endtab %}
 {% endtabs %}

From 46e46a731025325830b0b0b606009bda45142b98 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:48:57 +0000
Subject: [PATCH 119/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.div.md          | 26 +++++++++----------
 1 file changed, 12 insertions(+), 14 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index 8ba7875..226c4d1 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -145,13 +145,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 40                ║
+║ 0          │ 1                 │ 0.1000000014901…  ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 20                │ 0                 ║
+║ 1          │ 0.8000000119209…  │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 100               │ 1                 ║
+║ 2          │ 0.25              │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 8                 ║
+║ 3          │ 0                 │ 2                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
@@ -192,17 +192,15 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
+║ 0          │ 5                 │ 11.5              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
+║ 1          │ 22.5              │ 10                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
+║ 2          │ 28                │ 5                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
+║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -240,13 +238,13 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
+║ 0          │ 5                 │ 11.5              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
+║ 1          │ 22.5              │ 10                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
+║ 2          │ 28                │ 5                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
+║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 

From f8c5ad0cba8d934555cb424afe631b232c8f8544 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:49:55 +0000
Subject: [PATCH 120/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.pow.md          | 210 +++++++++++-------
 1 file changed, 133 insertions(+), 77 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index aa7a15e..923b5e0 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -6,32 +6,33 @@ description: >-
 
 # DataFrame.pow
 
-danfo.DataFrame.**pow**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L418)\]
+danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Exponent of ****DataFrame with a scalar value:
+### Exponential of** scalar with **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
-let df_new = df.pow(2)
+let df_new = df.div(2)
 
 df_new.print()
 ```
@@ -39,43 +40,45 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 529               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 2025              │ 400               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 3136              │ 100               ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 100               │ 576               ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponent of  ****DataFrame with a Series along the column axis:
+### Exponential of**  Series with **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = { "Col1": [1, 4, 5, 1],
-             "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.pow(sf, axis = 1)
+let df_new = df.div(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -83,44 +86,47 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 243               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 256               │ 32                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 625               │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 1                 │ 1024              ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0.25              │ 0.6000000238418…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0.4000000059604…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1.25              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0.25              │ 0.8000000119209…  ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponent of  ****DataFrame with a DataFrame
+### Exponential of**  **DataFrame wi a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-let data = { "Col1": [1, 4, 5, 1],
-             "Col2": [3, 2, 0, 4] }
-             
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
 let data2 = {"new_col1": [1, 5, 20, 10],
              "new_Col2": [20, 2, 1, 2]}
 
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.pow(df2)
+let df_new = df.div(df2)
 
 df_new.print()
 
@@ -129,43 +135,46 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 1048576           ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1024              │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 95367433551872    │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 16                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0.1000000014901…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0.8000000119209…  │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0.25              │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponent of ****DataFrame with a JavaScript Array
+### Division of** ** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
 let df = new dfd.DataFrame(data)
-let val = [2,2]
+let val = [2, 2, 2, 2]
 
-let df_new = df.pow(val, axis=1)
+let df_new = df.div(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -173,25 +182,72 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 
 ```
 {% endtab %}
 {% endtabs %}
 
+### Division works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.div(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 12167             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 2025              │ 8000              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 3136              │ 1000              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 100               │ 13824             ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
 ```
 {% endtab %}
 {% endtabs %}

From 5f54c1ac8717f2fc0cb59716431d3e6c41f56e64 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:50:35 +0000
Subject: [PATCH 121/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.pow.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index 923b5e0..a86ba93 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -32,7 +32,7 @@ let data = {
 }
 let df = new dfd.DataFrame(data)
 
-let df_new = df.div(2)
+let df_new = df.pow(2)
 
 df_new.print()
 ```
@@ -78,7 +78,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.div(sf, { axis: 1 })
+let df_new = df.pow(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -110,7 +110,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of**  **DataFrame wi a DataFrame
+### Exponential of**  **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -126,7 +126,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.div(df2)
+let df_new = df.pow(df2)
 
 df_new.print()
 
@@ -159,7 +159,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of** ** Array to DataFrame along axis 0
+### Exponential of** ** Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -174,7 +174,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-let df_new = df.div(val, { axis: 0 })
+let df_new = df.pow(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -205,7 +205,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division works inplace
+### Exponential works inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -220,7 +220,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-df.div(val, { axis: 0, inplace: true })
+df.pow(val, { axis: 0, inplace: true })
 
 df.print()
 ```

From 4c89dbf6263341f8a79d3c40bb64db74d64c8fa0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:50:59 +0000
Subject: [PATCH 122/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.div.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index 226c4d1..54123d9 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -19,7 +19,7 @@ danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/d
 
 ## **Examples**
 
-### Division of** scalar to **DataFrame along default axis 1
+### Division of** scalar with **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,7 +63,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of**  Series to **DataFrame along axis 0
+### Division of**  Series with **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -110,7 +110,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of**  **DataFrame to a DataFrame
+### Division of**  **DataFrame **with** a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -159,7 +159,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of** ** Array to DataFrame along axis 0
+### Division of** ** Array **with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}

From ebd4027b14678db07458514ca64c153f68956239 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:52:06 +0000
Subject: [PATCH 123/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.pow.md          | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index a86ba93..4bf90e6 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -50,15 +50,17 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
+║ 0          │ 100               │ 529               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
+║ 1          │ 2025              │ 400               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
+║ 2          │ 3136              │ 100               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
+║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -96,16 +98,17 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0.25              │ 0.6000000238418…  ║
+║ 0          │ 1                 │ 243               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0.4000000059604…  ║
+║ 1          │ 256               │ 32                ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1.25              │ 0                 ║
+║ 2          │ 625               │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0.25              │ 0.8000000119209…  ║
+║ 3          │ 1                 │ 1024              ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
+
 ```
 {% endtab %}
 {% endtabs %}

From fede734851fa58fda1172623da7042c5a0c3f29d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:52:44 +0000
Subject: [PATCH 124/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.pow.md          | 27 ++++++++++---------
 1 file changed, 15 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index 4bf90e6..634e6e2 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -148,16 +148,17 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0.1000000014901…  ║
+║ 0          │ 1                 │ 1048576           ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0.8000000119209…  │ 0                 ║
+║ 1          │ 1024              │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0.25              │ 1                 ║
+║ 2          │ 95367433551872    │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 2                 ║
+║ 3          │ 0                 │ 16                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -195,15 +196,16 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
+║ 0          │ 100               │ 529               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
+║ 1          │ 2025              │ 400               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
+║ 2          │ 3136              │ 100               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
+║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -241,16 +243,17 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
+║ 0          │ 100               │ 529               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
+║ 1          │ 2025              │ 400               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
+║ 2          │ 3136              │ 100               ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
+║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
+
 ```
 {% endtab %}
 {% endtabs %}

From ad2f2451dfd95b03a8488fbce16e62a210307cd2 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:53:50 +0000
Subject: [PATCH 125/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mod.md          | 225 +++++++++++-------
 1 file changed, 142 insertions(+), 83 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index 1f66ce1..1a04b2f 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -1,35 +1,36 @@
 ---
-description: 'Get Modulo of DataFrame and other, element-wise (binary operator mod).'
+description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
 ---
 
 # DataFrame.mod
 
-danfo.DataFrame.**mod**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L436)\]
+danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array or Scalar | Object to modulo with |  |
-| axis | Int | 0 for row, 1 for column | 0 |
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Modulo of ****DataFrame with a scalar value:
+### Modulo of** scalar with **DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
-let df_new = df.mod(2)
+let df_new = df.pow(2)
 
 df_new.print()
 ```
@@ -37,44 +38,47 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of  ****DataFrame with a Series along the column axis:
+### Modulo of**  Series with **DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs")
+const dfd = require("danfojs-node")
 
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}]
-            
 let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
+let sf = new dfd.Series([4, 5])
 
-let df_new = df.mod(sf, axis=1)
+let df_new = df.pow(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -82,46 +86,48 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 6                 │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 243               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 256               │ 32                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 625               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1                 │ 1024              ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of  ****DataFrame with a DataFrame
+### Exponential of**  **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
+const dfd = require("danfojs")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
             
-let data2 = {"new_col1": [10, 45, 200, 10],
-             "new_Col2": [230, 200, 110, 24]}
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
 
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.mod(df2)
+let df_new = df.pow(df2)
 
 df_new.print()
 
@@ -130,43 +136,47 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 56                │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 1048576           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1024              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 95367433551872    │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 16                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of ****DataFrame with a JavaScript Array
+### Exponential of** ** Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
 let df = new dfd.DataFrame(data)
-let val = [10,40]
+let val = [2, 2, 2, 2]
 
-let df_new = df.mod(val, axis=1)
+let df_new = df.pow(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -174,25 +184,74 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential works inplace
+
+{% tabs %}
+{% tab title="Node" %}
 ```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 6                 │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.pow(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
 ```
 {% endtab %}
 {% endtabs %}

From b5140dfc7f7129b99f9b0ec8f95250c601480524 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:55:03 +0000
Subject: [PATCH 126/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mod.md          | 24 +++++++++----------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index 1a04b2f..2e38bed 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -30,7 +30,7 @@ let data = {
 }
 let df = new dfd.DataFrame(data)
 
-let df_new = df.pow(2)
+let df_new = df.mod(2)
 
 df_new.print()
 ```
@@ -48,13 +48,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
+║ 0          │ 0                 │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
+║ 1          │ 1                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
+║ 2          │ 0                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
+║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
@@ -78,7 +78,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.pow(sf, { axis: 1 })
+let df_new = df.mod(sf, { axis: 1 })
 
 df_new.print()
 ```
@@ -111,7 +111,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of**  **DataFrame with a DataFrame
+### Modulo of**  **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -127,7 +127,7 @@ let data2 = {"new_col1": [1, 5, 20, 10],
 let df = new dfd.DataFrame(data)
 let df2 = new dfd.DataFrame(data2)
 
-let df_new = df.pow(df2)
+let df_new = df.mod(df2)
 
 df_new.print()
 
@@ -161,7 +161,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of** ** Array with DataFrame along axis 0
+### Modulo of** ** Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -176,7 +176,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-let df_new = df.pow(val, { axis: 0 })
+let df_new = df.mod(val, { axis: 0 })
 
 df_new.print()
 ```
@@ -208,7 +208,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential works inplace
+### Modulo works inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -223,7 +223,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 let val = [2, 2, 2, 2]
 
-df.pow(val, { axis: 0, inplace: true })
+df.mod(val, { axis: 0, inplace: true })
 
 df.print()
 ```

From b6865c09cbf0f410be4f2013c77d5da2c787a9fb Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:55:57 +0000
Subject: [PATCH 127/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mod.md          | 32 +++++++++----------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index 2e38bed..8cd7e9f 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -96,13 +96,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 243               ║
+║ 0          │ 1                 │ 3                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 256               │ 32                ║
+║ 1          │ 0                 │ 2                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 625               │ 0                 ║
+║ 2          │ 1                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 1024              ║
+║ 3          │ 1                 │ 4                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
@@ -146,13 +146,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 1048576           ║
+║ 0          │ 0                 │ 2                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1024              │ 0                 ║
+║ 1          │ 4                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 95367433551872    │ 1                 ║
+║ 2          │ 5                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 16                ║
+║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
@@ -194,13 +194,13 @@ df_new.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
+║ 0          │ 0                 │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
+║ 1          │ 1                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
+║ 2          │ 0                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
+║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
@@ -241,13 +241,13 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╗
 ║            │ Col1              │ Col2              ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
+║ 0          │ 0                 │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
+║ 1          │ 1                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
+║ 2          │ 0                 │ 0                 ║
 ╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
+║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 

From 2bf7978c4abb98dcb20ec6bc6bdb3a6b840996b4 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:57:24 +0000
Subject: [PATCH 128/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.mean.md         | 21 ++++++++-----------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mean.md b/api-reference/dataframe/danfo.dataframe.mean.md
index 754ed57..a7d4202 100644
--- a/api-reference/dataframe/danfo.dataframe.mean.md
+++ b/api-reference/dataframe/danfo.dataframe.mean.md
@@ -4,19 +4,19 @@ description: Return the mean of the values for the requested axis.
 
 # DataFrame.mean
 
-danfo.DataFrame.**mean**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)\]
+danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Calculates the mean of values along default axis 1 \(column\)
+## Calculates the mean of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ df.mean().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -68,7 +67,7 @@ df.mean().print()
 {% endtab %}
 {% endtabs %}
 
-## Calculates the mean of values along row axis \(0\)
+## Calculates the mean of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -86,14 +85,13 @@ df.mean(axis=0).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -120,4 +118,3 @@ df.mean(axis=0).print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 19edbd70ba279287f369eb6f8aac418a7286f9a8 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:58:11 +0000
Subject: [PATCH 129/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.mean.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mean.md b/api-reference/dataframe/danfo.dataframe.mean.md
index a7d4202..c22a8e2 100644
--- a/api-reference/dataframe/danfo.dataframe.mean.md
+++ b/api-reference/dataframe/danfo.dataframe.mean.md
@@ -16,7 +16,7 @@ danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/da
 
 ## **Examples**
 
-## Calculates the mean of values along default axis 1 (column)
+## Computes the mean of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -67,7 +67,7 @@ df.mean().print()
 {% endtab %}
 {% endtabs %}
 
-## Calculates the mean of values along row axis (0)
+## Computes the mean of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}

From e450ad05d5bd20305753dd5ad5f7d9a1eed6a72c Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:58:39 +0000
Subject: [PATCH 130/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.mean.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.mean.md b/api-reference/dataframe/danfo.dataframe.mean.md
index c22a8e2..fbc005e 100644
--- a/api-reference/dataframe/danfo.dataframe.mean.md
+++ b/api-reference/dataframe/danfo.dataframe.mean.md
@@ -74,12 +74,12 @@ df.mean().print()
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 df.print()
 let df = new dfd.DataFrame(data)
-df.mean(axis=0).print()
+df.mean({ axis: 0 }).print()
 ```
 {% endtab %}
 

From d6817fa22d1128733055490f37a1e2673c427eb4 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 17:59:35 +0000
Subject: [PATCH 131/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.median.md       | 23 ++++++++-----------
 1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.median.md b/api-reference/dataframe/danfo.dataframe.median.md
index 7b5e45e..e75519f 100644
--- a/api-reference/dataframe/danfo.dataframe.median.md
+++ b/api-reference/dataframe/danfo.dataframe.median.md
@@ -4,19 +4,19 @@ description: Return the median of the values for the requested axis.
 
 # DataFrame.median
 
-danfo.DataFrame.**median**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L474)\]
+danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Calculates the median of values along default axis 1 \(column\)
+## Calculates the median of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ df.median().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -68,7 +67,7 @@ df.median().print()
 {% endtab %}
 {% endtabs %}
 
-## Calculates the median of values along row axis \(0\)
+## Calculates the median of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -80,20 +79,19 @@ cols = ["A", "B", "C"]
 
 df.print()
 let df = new dfd.DataFrame(data)
-df.median(axis=0).print()
+df.median({axis:0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -120,4 +118,3 @@ df.median(axis=0).print()
 ```
 {% endtab %}
 {% endtabs %}
-

From ab90e10e405e33c0560ea515d2e6a8e9e558ac30 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:00:16 +0000
Subject: [PATCH 132/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.min.md          | 23 ++++++++-----------
 1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.min.md b/api-reference/dataframe/danfo.dataframe.min.md
index 3a65ec4..93b9bf8 100644
--- a/api-reference/dataframe/danfo.dataframe.min.md
+++ b/api-reference/dataframe/danfo.dataframe.min.md
@@ -4,19 +4,19 @@ description: Return the minimum of the values for the requested axis.
 
 # DataFrame.min
 
-danfo.DataFrame.**min**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L499)\]
+danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Returns the minimum value along default axis 1 \(column\)
+## Returns the minimum value along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ df.min().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -68,7 +67,7 @@ df.min().print()
 {% endtab %}
 {% endtabs %}
 
-## Return the minimum value along row axis \(0\)
+## Return the minimum value along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -80,20 +79,19 @@ cols = ["A", "B", "C"]
 
 df.print()
 let df = new dfd.DataFrame(data)
-df.min(axis=0).print()
+df.min({axis: 0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -120,4 +118,3 @@ df.min(axis=0).print()
 ```
 {% endtab %}
 {% endtabs %}
-

From a2e800b471c0115c3fe6bb37f455158633da74ab Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:00:36 +0000
Subject: [PATCH 133/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.max.md          | 23 ++++++++-----------
 1 file changed, 10 insertions(+), 13 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.max.md b/api-reference/dataframe/danfo.dataframe.max.md
index bb8b088..f8e9124 100644
--- a/api-reference/dataframe/danfo.dataframe.max.md
+++ b/api-reference/dataframe/danfo.dataframe.max.md
@@ -4,19 +4,19 @@ description: Return the maximum of the values for the requested axis.
 
 # DataFrame.max
 
-danfo.DataFrame.**max**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L519)\]
+danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Return the maximum value along default axis 1 \(column\)
+## Return the maximum value along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -34,14 +34,13 @@ df.max().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -67,7 +66,7 @@ df.max().print()
 {% endtab %}
 {% endtabs %}
 
-## Return the maximum value along row axis \(0\)
+## Return the maximum value along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -78,20 +77,19 @@ cols = ["A", "B", "C"]
 
 df.print()
 let df = new dfd.DataFrame(data)
-df.max(axis=0).print()
+df.max({axis:0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,4 +116,3 @@ df.max(axis=0).print()
 ```
 {% endtab %}
 {% endtabs %}
-

From f9ca3ba701fd6035ae1c0c627c4c811b6636be51 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:01:03 +0000
Subject: [PATCH 134/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.std.md          | 26 ++++++++-----------
 1 file changed, 11 insertions(+), 15 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.std.md b/api-reference/dataframe/danfo.dataframe.std.md
index 0a93231..b94372e 100644
--- a/api-reference/dataframe/danfo.dataframe.std.md
+++ b/api-reference/dataframe/danfo.dataframe.std.md
@@ -4,19 +4,19 @@ description: Return sample standard deviation over requested axis.
 
 # DataFrame.std
 
-danfo.DataFrame.**var**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L563)\]
+danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Calculates the standard deviation of values along default axis 1 \(column\)
+## Calculates the standard deviation of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,14 +32,13 @@ df.std().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -53,7 +52,7 @@ df.std().print()
 {% endtab %}
 {% endtabs %}
 
-## Calculates the standard deviation of values along row axis \(0\)
+## Calculates the standard deviation of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,20 +62,19 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data)
-df.std(axis=0).print()
+df.std({axis:0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -92,7 +90,5 @@ df.std(axis=0).print()
 {% endtab %}
 {% endtabs %}
 
-## 
-
-
+##
 

From a6679dda7bc674dd20f8173616c3ea4744964465 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:01:30 +0000
Subject: [PATCH 135/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.var.md          | 24 ++++++++-----------
 1 file changed, 10 insertions(+), 14 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.var.md b/api-reference/dataframe/danfo.dataframe.var.md
index 6b88002..b95bb1a 100644
--- a/api-reference/dataframe/danfo.dataframe.var.md
+++ b/api-reference/dataframe/danfo.dataframe.var.md
@@ -4,19 +4,19 @@ description: Return unbiased variance over requested axis.
 
 # DataFrame.var
 
-danfo.DataFrame.**var**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L563)\]
+danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Calculate variance of values along default axis 1 \(column\)
+## Calculate variance of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,14 +32,13 @@ df.var().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -53,7 +52,7 @@ df.var().print()
 {% endtab %}
 {% endtabs %}
 
-## Calculate variance of values along row axis \(0\)
+## Calculate variance of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,20 +62,19 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data)
-df.var(axis=0).print()
+df.var({axis:0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -94,5 +92,3 @@ df.var(axis=0).print()
 
 
 
-
-

From 26aab84c5ff9f37d0ade4aeef7645febab6226d6 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:02:33 +0000
Subject: [PATCH 136/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.count.md        | 28 ++++++++-----------
 1 file changed, 12 insertions(+), 16 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.count.md b/api-reference/dataframe/danfo.dataframe.count.md
index 23c6948..9e9916e 100644
--- a/api-reference/dataframe/danfo.dataframe.count.md
+++ b/api-reference/dataframe/danfo.dataframe.count.md
@@ -6,19 +6,19 @@ description: >-
 
 # DataFrame.count
 
-danfo.DataFrame.**count**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L587)\]
+danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int | 0 for row and 1 for columns  | 1 |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-## Count Non-NaN values along default axis 1 \(column\)
+## Count Non-NaN values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df.count().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══════╤══════════════════════╗
 ║       │ 0                    ║
 ╟───────┼──────────────────────╢
@@ -57,7 +56,7 @@ df.count().print()
 {% endtab %}
 {% endtabs %}
 
-## Count Non-NaN values along row axis \(0\)
+## Count Non-NaN values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -66,23 +65,22 @@ const dfd = require("danfojs-node")
 
 let data = { "Name": ["Apples", "Mango", "Banana", undefined],
            "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }]
+           "Price": [200, 300, 40, 250] }
 
 let df = new dfd.DataFrame(data)
-df.count({axis: 0).print()
+df.count({axis: 0}).print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -98,7 +96,5 @@ df.count({axis: 0).print()
 {% endtab %}
 {% endtabs %}
 
-## 
-
-
+##
 

From a3217b50636ddebe682a528f6a17c6014f8a1135 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:04:06 +0000
Subject: [PATCH 137/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.round.md        | 22 +++++++++----------
 1 file changed, 10 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.round.md b/api-reference/dataframe/danfo.dataframe.round.md
index b85c27e..39bb719 100644
--- a/api-reference/dataframe/danfo.dataframe.round.md
+++ b/api-reference/dataframe/danfo.dataframe.round.md
@@ -4,19 +4,20 @@ description: Round elements in a DataFrame to a specified number of decimal plac
 
 # DataFrame.round
 
-danfo.DataFrame.**round**\(dp\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)\]
+danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| dp | Int | Number of decimal places to round to | 1 |
+| Parameters | Type   | Description                                                                         | Default         |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | --------------- |
+| dp         | Int    | Number of decimal places to round to. Defaults to 1                                 | 1               |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { inplace: fa } |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** Series**
 
 ## **Examples**
 
-## Round elements to 1dp \(Default\)
+## Round elements to 1dp (Default)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -37,14 +38,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -92,14 +92,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -126,5 +125,4 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-## 
-
+##

From b145c5e9adec6cce5bdca148373c16720cbfa02a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:05:09 +0000
Subject: [PATCH 138/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.round.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.round.md b/api-reference/dataframe/danfo.dataframe.round.md
index 39bb719..32e7c8a 100644
--- a/api-reference/dataframe/danfo.dataframe.round.md
+++ b/api-reference/dataframe/danfo.dataframe.round.md
@@ -6,14 +6,14 @@ description: Round elements in a DataFrame to a specified number of decimal plac
 
 danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type   | Description                                                                         | Default         |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | --------------- |
-| dp         | Int    | Number of decimal places to round to. Defaults to 1                                 | 1               |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { inplace: fa } |
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
 
 **Returns:**
 
-**       **return** Series**
+**       **return** DataFrame**
 
 ## **Examples**
 

From a9b433ef35498bb9fcaa9188067aedd6f7023e8e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:06:27 +0000
Subject: [PATCH 139/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.cumsum.md       | 21 ++++++++-----------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index b1e91f1..02b64df 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -4,19 +4,19 @@ description: Return cumulative sum over a DataFrame or Series axis.
 
 # DataFrame.cumsum
 
-danfo.DataFrame.**cumsum**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)\]
+danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                                                                                      | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------ | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: </p><p></p> | {axis: 1, inplace: false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-## Cumulative sum of elements along default axis \(row\)
+## Cumulative sum of elements along default axis (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -58,7 +57,7 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-## Cumulative sum of elements along column axis \(1\)
+## Cumulative sum of elements along column axis (1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -77,14 +76,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -99,4 +97,3 @@ new_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 38f71de734d8ef8abfeb1464ecb61b941ccba4fa Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:06:58 +0000
Subject: [PATCH 140/202] GitBook: No commit message

---
 api-reference/dataframe/danfo.dataframe.cumsum.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index 02b64df..4863805 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -6,9 +6,9 @@ description: Return cumulative sum over a DataFrame or Series axis.
 
 danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type   | Description                                                                                      | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------ | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: </p><p></p> | {axis: 1, inplace: false} |
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
 
 **Returns:**
 

From 90aa3adabe2791c4a708f684c7721811c52550be Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:07:35 +0000
Subject: [PATCH 141/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.cummin.md       | 21 ++++++++-----------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.cummin.md b/api-reference/dataframe/danfo.dataframe.cummin.md
index 69b6dea..53f4045 100644
--- a/api-reference/dataframe/danfo.dataframe.cummin.md
+++ b/api-reference/dataframe/danfo.dataframe.cummin.md
@@ -4,19 +4,19 @@ description: Return cumulative minimum over a DataFrame or Series axis.
 
 # DataFrame.cummin
 
-danfo.DataFrame.**cummin**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L717)\]
+danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-## Cumulative minimum of elements along default axis \(row\)
+## Cumulative minimum of elements along default axis (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -58,7 +57,7 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-## Cumulative minimum of elements along column axis \(1\)
+## Cumulative minimum of elements along column axis (1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -77,14 +76,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -99,4 +97,3 @@ new_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From cc4b1775c3ef708e899c1ef4dd93f5fc0b602310 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:08:13 +0000
Subject: [PATCH 142/202] GitBook: No commit message

---
 .../dataframe/danfo.dataframe.cummax.md       | 21 ++++++++-----------
 1 file changed, 9 insertions(+), 12 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.cummax.md b/api-reference/dataframe/danfo.dataframe.cummax.md
index 561b794..c46ae7b 100644
--- a/api-reference/dataframe/danfo.dataframe.cummax.md
+++ b/api-reference/dataframe/danfo.dataframe.cummax.md
@@ -4,19 +4,19 @@ description: Return cumulative maximum over a DataFrame or Series axis.
 
 # DataFrame.cummax
 
-danfo.DataFrame.**cummax**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L739)\]
+danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-## Cumulative maximum of elements along default axis \(row\)
+## Cumulative maximum of elements along default axis (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -58,7 +57,7 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-## Cumulative maximum of elements along column axis \(1\)
+## Cumulative maximum of elements along column axis (1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -77,14 +76,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -99,4 +97,3 @@ new_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-

From 212f04e06965bf92eacd11860fd956dba90b9695 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:17:32 +0000
Subject: [PATCH 143/202] GitBook: [#198] Update API

---
 README.md                                     |  42 +-
 SUMMARY.md                                    |   4 +-
 api-reference/README.md                       |   4 +-
 api-reference/configuration-options.md        |  13 +-
 api-reference/dataframe/README.md             | 193 ++---
 .../dataframe/danfo.dataframe.abs.md          |   8 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  42 +-
 .../dataframe/danfo.dataframe.apply.md        |  47 +-
 .../dataframe/danfo.dataframe.column.md       |  14 +-
 .../dataframe/danfo.dataframe.copy.md         |   9 +-
 .../dataframe/danfo.dataframe.cumprod.md      |  21 +-
 .../dataframe/danfo.dataframe.describe.md     |  10 +-
 .../dataframe/danfo.dataframe.dropna.md       |  49 +-
 api-reference/dataframe/danfo.dataframe.eq.md |  29 +-
 .../dataframe/danfo.dataframe.fillna.md       |  44 +-
 api-reference/dataframe/danfo.dataframe.ge.md |  27 +-
 .../dataframe/danfo.dataframe.groupby.md      |  14 +-
 api-reference/dataframe/danfo.dataframe.gt.md |  35 +-
 .../dataframe/danfo.dataframe.head.md         |  14 +-
 .../dataframe/danfo.dataframe.isna.md         |   8 +-
 api-reference/dataframe/danfo.dataframe.it.md |  35 +-
 api-reference/dataframe/danfo.dataframe.le.md |  29 +-
 api-reference/dataframe/danfo.dataframe.ne.md |  35 +-
 .../dataframe/danfo.dataframe.query.md        |  50 +-
 .../dataframe/danfo.dataframe.replace.md      |  42 +-
 .../dataframe/danfo.dataframe.sum.md          |  21 +-
 .../dataframe/danfo.dataframe.tail.md         |  14 +-
 api-reference/dataframe/dataframe.dtypes.md   |  13 +-
 api-reference/dataframe/dataframe.ndim.md     |  10 +-
 api-reference/dataframe/dataframe.nunique.md  |  96 ---
 .../dataframe/dataframe.select_dtypes.md      |  16 +-
 api-reference/dataframe/dataframe.shape.md    |   8 +-
 api-reference/dataframe/dataframe.size.md     |  48 --
 api-reference/dataframe/dataframe.values.md   |  10 +-
 api-reference/general-functions/README.md     |  25 +-
 .../general-functions/danfo.concat.md         |  50 +-
 .../general-functions/danfo.date_range.md     |  47 +-
 .../general-functions/danfo.get_dummies.md    |  84 +--
 .../general-functions/danfo.labelencoder.md   |  13 +-
 .../general-functions/danfo.merge.md          |  53 +-
 .../general-functions/danfo.minmaxscaler.md   |   9 +-
 .../general-functions/danfo.onehotencoder.md  |  13 +-
 .../general-functions/danfo.standardscaler.md |  13 +-
 .../general-functions/danfo.to_datetime.md    | 200 +++---
 api-reference/groupby/groupby.agg.md          |  15 +-
 api-reference/groupby/groupby.count.md        |  13 +-
 api-reference/groupby/groupby.cumsum.md       |  13 +-
 api-reference/groupby/groupby.max.md          |  13 +-
 api-reference/groupby/groupby.mean.md         |  13 +-
 api-reference/groupby/groupby.min.md          |  13 +-
 api-reference/groupby/groupby.std.md          |  13 +-
 api-reference/groupby/groupby.sum.md          |  13 +-
 api-reference/groupby/groupby.var.md          |  13 +-
 api-reference/input-output/README.md          |  20 +-
 api-reference/input-output/danfo.read_csv.md  | 212 +-----
 .../input-output/danfo.read_excel.md          |  55 +-
 api-reference/input-output/danfo.read_json.md | 103 ++-
 api-reference/plotting/line-charts.md         |   7 +-
 api-reference/plotting/timeseries-plots.md    |   8 +-
 api-reference/series/README.md                | 240 ++++---
 api-reference/series/series.abs.md            |  11 +-
 api-reference/series/series.add.md            |  17 +-
 api-reference/series/series.append.md         |  57 +-
 api-reference/series/series.apply.md          |  26 +-
 api-reference/series/series.argsort.md        |  36 +-
 api-reference/series/series.copy.md           |   7 +-
 api-reference/series/series.count.md          |   7 +-
 api-reference/series/series.cummax.md         |  11 +-
 api-reference/series/series.cummin.md         |  11 +-
 api-reference/series/series.cumprod.md        |  11 +-
 api-reference/series/series.cumsum.md         |  11 +-
 api-reference/series/series.describe.md       |   8 +-
 api-reference/series/series.div.md            |  17 +-
 .../series/series.drop_duplicates.md          |  26 +-
 api-reference/series/series.dropna.md         |  17 +-
 api-reference/series/series.dt.day.md         |  52 +-
 api-reference/series/series.dt.hour.md        |  28 +-
 api-reference/series/series.dt.minute.md      |   8 +-
 api-reference/series/series.dt.month.md       |  36 +-
 api-reference/series/series.dt.month_name.md  |  29 +-
 api-reference/series/series.dt.monthday.md    |  29 +-
 api-reference/series/series.dt.second.md      |  29 +-
 api-reference/series/series.dt.weekdays.md    |  93 ++-
 api-reference/series/series.dt.year.md        |  26 +-
 api-reference/series/series.dtype.md          |   7 +-
 api-reference/series/series.eq.md             |  15 +-
 api-reference/series/series.fillna.md         |  20 +-
 api-reference/series/series.ge.md             |  15 +-
 api-reference/series/series.gt.md             |  15 +-
 api-reference/series/series.iloc.md           |  48 +-
 api-reference/series/series.le.md             |  16 +-
 api-reference/series/series.lt.md             |  15 +-
 api-reference/series/series.map.md            |  22 +-
 api-reference/series/series.max.md            |   7 +-
 api-reference/series/series.mean.md           |   7 +-
 api-reference/series/series.median.md         |   7 +-
 api-reference/series/series.min.md            |   7 +-
 api-reference/series/series.mod.md            |  16 +-
 api-reference/series/series.mode.md           |   7 +-
 api-reference/series/series.mul.md            |  17 +-
 api-reference/series/series.ndim.md           |   9 +-
 api-reference/series/series.ne.md             |  15 +-
 api-reference/series/series.nunique.md        |   9 +-
 api-reference/series/series.pow.md            |  14 +-
 api-reference/series/series.replace.md        |  87 ++-
 api-reference/series/series.reset_index.md    | 152 ++--
 api-reference/series/series.round.md          |  15 +-
 api-reference/series/series.sample.md         |  51 +-
 api-reference/series/series.set_index.md      |  86 +--
 api-reference/series/series.sort_values.md    | 151 ++--
 api-reference/series/series.str.capitalize.md |  12 +-
 api-reference/series/series.str.charat.md     |  15 +-
 api-reference/series/series.str.concat.md     |  26 +-
 api-reference/series/series.str.endswith.md   |  15 +-
 api-reference/series/series.str.includes.md   |  15 +-
 api-reference/series/series.str.indexof.md    |  15 +-
 api-reference/series/series.str.join.md       |  37 +-
 .../series/series.str.lastindexof.md          |  14 +-
 api-reference/series/series.str.len.md        |  44 +-
 api-reference/series/series.str.repeat.md     |  15 +-
 api-reference/series/series.str.replace.md    |  17 +-
 api-reference/series/series.str.search.md     |  18 +-
 api-reference/series/series.str.slice.md      |  17 +-
 api-reference/series/series.str.split.md      |  16 +-
 api-reference/series/series.str.startswith.md |  15 +-
 api-reference/series/series.str.substr.md     |  16 +-
 api-reference/series/series.str.substring.md  |  17 +-
 .../series/series.str.tolowercase.md          |  12 +-
 .../series/series.str.touppercase.md          |  12 +-
 api-reference/series/series.str.trim.md       |  12 +-
 api-reference/series/series.sub.md            |  17 +-
 api-reference/series/series.sum.md            |   7 +-
 api-reference/series/series.value_counts.md   |  11 +-
 ...-driven-applications-with-danfo.js-book.md |   6 +-
 contributing-guide.md                         |  61 +-
 ...iction-using-danfo.js-and-tensorflow.js.md |  77 +-
 examples/using-danfojs-in-react.md            |   3 +-
 getting-started.md                            | 666 ++++++++++--------
 release-notes.md                              |  60 +-
 139 files changed, 2173 insertions(+), 2853 deletions(-)
 delete mode 100644 api-reference/dataframe/dataframe.nunique.md
 delete mode 100644 api-reference/dataframe/dataframe.size.md

diff --git a/README.md b/README.md
index 92e7da5..0c09b3c 100644
--- a/README.md
+++ b/README.md
@@ -7,52 +7,62 @@ description: >-
 
 # Danfo.js Documentation
 
-D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.** 
+D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js. **
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org/), and supports tensors out of the box. This means you can [convert danfo data structure](api-reference/dataframe/) to Tensors.
-* Easy handling of missing ****data \(represented as `NaN`\) in floating point as well as non-floating point data
+* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
+* Easy handling of missing** **data (represented as `NaN`) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
-* Powerful, flexible [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
-* Make it easy to convert Arrays, JSONs, List or Objects, Tensors and differently-indexed data structures into DataFrame objects
+* Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
+* Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) \(CSV and delimited\) and JSON data format.
-* Powerful, flexible and intutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MESZnq3_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) (CSV and delimited), Excel, and JSON data format.
+* Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MESZnq3\_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to danfo? Check out the getting started guides. They contain an introduction to _danfo's_ main concepts and links to additional contents.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's _main concepts and links to additional content.
 
-{% page-ref page="getting-started.md" %}
+{% content-ref url="getting-started.md" %}
+[getting-started.md](getting-started.md)
+{% endcontent-ref %}
 
 ## **API Reference**
 
 The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used. 
 
-{% page-ref page="api-reference/" %}
+{% content-ref url="api-reference/" %}
+[api-reference](api-reference/)
+{% endcontent-ref %}
 
 ## User Guides/Tutorials
 
-{% page-ref page="examples/" %}
+{% content-ref url="examples/" %}
+[examples](examples/)
+{% endcontent-ref %}
 
 ## Building Data Driven Applications with Danfo.js - Book
 
-{% page-ref page="building-data-driven-applications-with-danfo.js-book.md" %}
+{% content-ref url="building-data-driven-applications-with-danfo.js-book.md" %}
+[building-data-driven-applications-with-danfo.js-book.md](building-data-driven-applications-with-danfo.js-book.md)
+{% endcontent-ref %}
 
 ## Contributing Guide
 
 Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process. 
 
-{% page-ref page="contributing-guide.md" %}
+{% content-ref url="contributing-guide.md" %}
+[contributing-guide.md](contributing-guide.md)
+{% endcontent-ref %}
 
 ## Release Notes
 
-{% page-ref page="release-notes.md" %}
-
-
+{% content-ref url="release-notes.md" %}
+[release-notes.md](release-notes.md)
+{% endcontent-ref %}
 
diff --git a/SUMMARY.md b/SUMMARY.md
index 268ee82..fd962ba 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -127,11 +127,9 @@
     * [DataFrame.reset_index](api-reference/dataframe/dataframe.reset_index.md)
     * [DataFrame.rename](api-reference/dataframe/dataframe.rename.md)
     * [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
-    * [DataFrame.unique](api-reference/dataframe/dataframe.nunique.md)
     * [DataFrame.astype](api-reference/dataframe/dataframe.astype.md)
     * [DataFrame.shape](api-reference/dataframe/dataframe.shape.md)
-    * [DataFrame.size](api-reference/dataframe/dataframe.size.md)
-    * [DataFrame.axes](api-reference/dataframe/dataframe.axes.md)
+    * [DataFrame.axis](api-reference/dataframe/dataframe.axes.md)
     * [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
     * [DataFrame.values](api-reference/dataframe/dataframe.values.md)
     * [DataFrame.select_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index 70dff34..b5d5d28 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -9,7 +9,7 @@ description: >-
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetimelike](general-functions/#top-level-dealing-with-datetime)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
 * [Input/output](input-output/)
   * [CSV](input-output/#csv)
   * [JSON](input-output/#json)
@@ -52,5 +52,3 @@ description: >-
   * [Function application](groupby/#function-application)
   * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
 
-
-
diff --git a/api-reference/configuration-options.md b/api-reference/configuration-options.md
index d1ea96b..f4c2136 100644
--- a/api-reference/configuration-options.md
+++ b/api-reference/configuration-options.md
@@ -8,12 +8,12 @@ description: >-
 
 On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
 
-| Parameter | Description |
-| :--- | :--- |
+| Parameter          | Description                                                                                                                                                                                                           |
+| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10 |
-| dtypeTestLim | **Number**, the total number of values to test when inferring data type. Defaults to 10 |
-| lowMemoryMode | **Boolean**, whether to use minimal memory or not. Defaults to false.  **Note:** There's a slight decrease in speed when low memory mode is set to true.  |
+| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
+| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
+| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
 
 > See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
 
@@ -119,11 +119,10 @@ const df = new DataFrame(data, {
 df.print()
 ```
 
-```text
+```
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ Name              │ Count             │ Price             ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 0          │ Apples            │ 21                │ 200               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
-
diff --git a/api-reference/dataframe/README.md b/api-reference/dataframe/README.md
index 4b14800..a45aabd 100644
--- a/api-reference/dataframe/README.md
+++ b/api-reference/dataframe/README.md
@@ -1,142 +1,145 @@
 ---
-description: 'Two-dimensional, size-mutable, potentially heterogeneous tabular data.'
+description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
 ---
 
 # Dataframe
 
-> [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame)\(data, {**columns:** \[ Array \], **dtypes:** \[ Array \], **index:** \[Array\]}\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L20)\]
+> `DataFrame`(data, {\
+>                                 **columns:** \[ Array ],\
+>                                  **dtypes:** \[ Array ],** **\
+> **                                 index: **\[Array], \
+>                                  **options**: Object})
 
 ### Attributes
 
-| [`DataFrame.index`](dataframe.index.md) | The index \(row labels\) of the DataFrame. |
-| :--- | :--- |
-| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame. |
+| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
+| ------------------------------------------------ | ---------------------------------------- |
+| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
 
-| [`DataFrame.ctypes`](dataframe.dtypes.md) | Return the data types in the DataFrame. |
-| :--- | :--- |
+| [`DataFrame.ctypes`](dataframe.dtypes.md)               | Return the data types in the DataFrame.                                |
+| ------------------------------------------------------- | ---------------------------------------------------------------------- |
 | [`DataFrame.select_dtypes`](dataframe.select_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md) | Return a Numpy representation of the DataFrame. |
-| [`DataFrame.axes`](dataframe.axes.md) | Return a Object representing the axes of the DataFrame. |
-| [`DataFrame.ndim`](dataframe.ndim.md) | Return an int representing the number of axes / array dimensions. |
-| [`DataFrame.size`](dataframe.size.md) | Return an int representing the number of elements in this object. |
-| [`DataFrame.shape`](dataframe.shape.md) | Return a tuple representing the dimensionality of the DataFrame. |
+| [`DataFrame.values`](dataframe.values.md)               | Return a Numpy representation of the DataFrame.                        |
+| [`DataFrame.axes`](dataframe.axes.md)                   | Return a Object representing the axes of the DataFrame.                |
+| [`DataFrame.ndim`](dataframe.ndim.md)                   | Return an int representing the number of axes / array dimensions.      |
+| [`DataFrame.size`](broken-reference)                    | Return an int representing the number of elements in this object.      |
+| [`DataFrame.shape`](dataframe.shape.md)                 | Return a tuple representing the dimensionality of the DataFrame.       |
 
 ### Conversion
 
-| [`DataFrame.astype`](dataframe.astype.md) | Cast a pandas object to a specified dtype `dtype`. |
-| :--- | :--- |
-| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data. |
+| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
+| ------------------------------------------- | -------------------------------------------------- |
+| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
 
 ### Indexing, iteration
 
-| [`DataFrame.head`](danfo.dataframe.head.md) | Return the first n rows |
-| :--- | :--- |
-| [`DataFrame.loc`](danfo.dataframe.loc.md) | Access a group of rows and columns by label\(s\) or a boolean array. |
-| [`DataFrame.iloc`](danfo.dataframe.iloc.md) | Purely integer-location based indexing for selection by position. |
-| [`DataFrame.tail`](danfo.dataframe.tail.md) | Return the last n rows. |
-| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression. |
+| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
+| --------------------------------------------- | ------------------------------------------------------------------ |
+| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
+| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
+| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
 
 ### Binary operator functions
 
-| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise \(binary operator add\). |
-| :--- | :--- |
-| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise \(binary operator sub\). |
-| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise \(binary operator mul\). |
-| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise \(binary operator truediv\). |
-| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise \(binary operator mod\). |
-| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise \(binary operator pow\). |
-| [`DataFrame.lt`]() | Get Less than of dataframe and other, element-wise \(binary operator lt\). |
-| [`DataFrame.gt`](danfo.dataframe.gt.md) | Get Greater than of dataframe and other, element-wise \(binary operator gt\). |
-| [`DataFrame.le`](danfo.dataframe.le.md) | Get Less than or equal to of dataframe and other, element-wise \(binary operator le\). |
-| [`DataFrame.ge`]() | Get Greater than or equal to of dataframe and other, element-wise \(binary operator ge\). |
-| [`DataFrame.ne`](danfo.dataframe.ne.md) | Get Not equal to of dataframe and other, element-wise \(binary operator ne\). |
-| [`DataFrame.eq`](danfo.dataframe.eq.md) | Get Equal to of dataframe and other, element-wise \(binary operator eq\). |
+| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
+| ----------------------------------------- | --------------------------------------------------------------------------------------- |
+| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
+| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
+| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
+| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
+| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
+| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
+| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
+| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
+| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
+| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
+| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
 
 ### Function application & GroupBy
 
-| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame. |
-| :--- | :--- |
-| [`DataFrame.groupby`](../groupby/) | Group DataFrame using a mapper or by a Series of columns. |
-| [`DataFrame.map`](../series/series.map.md) | Map a function on Object along an axis to DataFrame |
+| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
+| --------------------------------------------- | --------------------------------------------------------- |
+| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
+| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
 
 ### Computations / descriptive stats
 
-| [`DataFrame.abs`](danfo.dataframe.abs.md) | Return a Series/DataFrame with absolute numeric value of each element. |
-| :--- | :--- |
-| [`DataFrame.corr`]() | Compute pairwise correlation of columns, excluding NA/null values. |
-| [`DataFrame.count`](danfo.dataframe.count.md) | Count non-NAN cells for each column or row. |
-| [`DataFrame.cummax`](danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
-| [`DataFrame.cummin`](danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
-| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis. |
-| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md) | Return cumulative sum over a DataFrame or Series axis. |
-| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics. |
-| [`DataFrame.max`](danfo.dataframe.max.md) | Return the maximum of the values for the requested axis. |
-| [`DataFrame.mean`](danfo.dataframe.mean.md) | Return the mean of the values for the requested axis. |
-| [`DataFrame.median`](danfo.dataframe.median.md) | Return the median of the values for the requested axis. |
-| [`DataFrame.min`](danfo.dataframe.min.md) | Return the minimum of the values for the requested axis. |
-| [`DataFrame.mode`](../series/series.mode.md) | Get the mode\(s\) of each element along the selected axis. |
-| [`DataFrame.round`](danfo.dataframe.round.md) | Round a DataFrame to a variable number of decimal places. |
-| [`DataFrame.sum`](danfo.dataframe.sum.md) | Return the sum of the values for the requested axis. |
-| [`DataFrame.std`](danfo.dataframe.std.md) | Return sample standard deviation over requested axis. |
-| [`DataFrame.var`](danfo.dataframe.var.md) | Return unbiased variance over requested axis. |
-| [`DataFrame.nunique`](dataframe.nunique.md) | Count distinct observations over requested axis. |
+| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
+| --------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
+| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
+| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
+| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
+| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
+| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
+| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
+| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
+| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
+| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
+| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
+| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
+| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
+| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
+| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
+| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
+| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
 
 ### Reindexing / selection / label manipulation
 
-|  |  |
-| :--- | :--- |
-| [`DataFrame.drop`](dataframe.drop.md) | Drop specified labels from rows or columns. |
-| [`DataFrame.head`](danfo.dataframe.head.md) | Return the first n rows. |
-| [`DataFrame.rename`](dataframe.rename.md) | Alter axes labels. |
-| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame |
-| [`DataFrame.sample`](danfo.dataframe.sample.md) | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set_index.md) | Set the DataFrame index using existing columns. |
-| [`DataFrame.tail`](danfo.dataframe.tail.md) | Return the last n rows. |
+|                                                     |                                                         |
+| --------------------------------------------------- | ------------------------------------------------------- |
+| [`DataFrame.drop`](dataframe.drop.md)               | Drop specified labels from rows or columns.             |
+| [`DataFrame.head`](danfo.dataframe.head.md)         | Return the first n rows.                                |
+| [`DataFrame.rename`](dataframe.rename.md)           | Alter axes labels.                                      |
+| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame                          |
+| [`DataFrame.sample`](danfo.dataframe.sample.md)     | Return a random sample of items from an axis of object. |
+| [`DataFrame.set_index`](dataframe.set_index.md)     | Set the DataFrame index using existing columns.         |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)         | Return the last n rows.                                 |
 
 ### Missing data handling
 
-|  |  |
-| :--- | :--- |
-| [`DataFrame.dropna`](danfo.dataframe.dropna.md) | Remove missing values. |
-| [`DataFrame.fillna`](danfo.dataframe.fillna.md) | Fill NaN values with specified values |
-| [`DataFrame.isna`](danfo.dataframe.isna.md) | Detect missing values. |
+|                                                   |                                             |
+| ------------------------------------------------- | ------------------------------------------- |
+| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
+| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
+| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
 | [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
 
 ### Sorting & transposing
 
-|  |  |
-| :--- | :--- |
-| [`DataFrame.sort_values`](dataframe.sort_values.md) | Sort by the values along either axis. |
-| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame |
+|                                                                                                                        |                                       |
+| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| [`DataFrame.sort_values`](dataframe.sort_values.md)                                                                    | Sort by the values along either axis. |
+| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
 
 ### Combining / comparing / joining / merging
 
-|  |  |
-| :--- | :--- |
-| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md) | Add new columns to a DataFrame. |
-| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together. |
-| [`DataFrame.merge`](../general-functions/danfo.merge.md) | Merge DataFrame or named Series objects with a database-style join. |
+|                                                            |                                                                     |
+| ---------------------------------------------------------- | ------------------------------------------------------------------- |
+| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
+| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
+| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
 
 ### Plotting
 
 `Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
 
-|  |  |
-| :--- | :--- |
-| [DataFrame.plot.bar](../plotting/bar-charts.md) | Vertical bar plot. |
-| [`DataFrame.plot.box`](../plotting/box-plots.md) | Make a box plot of the DataFrame columns. |
-| [`DataFrame.plot.violin`](../plotting/box-plots.md) | Make a violin plot of the DataFrame columns. |
-| [`DataFrame.plot.hist`](../plotting/histograms.md) | Draw one histogram of the DataFrame’s columns. |
+|                                                          |                                                               |
+| -------------------------------------------------------- | ------------------------------------------------------------- |
+| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
+| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
 | [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`DataFrame.plot.line`](../plotting/line-charts.md) | Plot Series or DataFrame as lines. |
-| [`DataFrame.plot.pie`](../plotting/pie-charts.md) | Generate a pie plot. |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots |
-| [`Table`](../plotting/tables.md) | Display Series as Interactive table in Div |
+| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
 
 ### Serialization / IO / conversion
 
-|  |  |
-| :--- | :--- |
-| [`DataFrame.to_csv`](dataframe.to_csv.md) | Write object to a comma-separated values \(csv\) file. |
-| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string. |
-
+|                                             |                                                      |
+| ------------------------------------------- | ---------------------------------------------------- |
+| [`DataFrame.to_csv`](dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference/dataframe/danfo.dataframe.abs.md b/api-reference/dataframe/danfo.dataframe.abs.md
index 291487e..303a649 100644
--- a/api-reference/dataframe/danfo.dataframe.abs.md
+++ b/api-reference/dataframe/danfo.dataframe.abs.md
@@ -4,11 +4,11 @@ description: Return a DataFrame with the absolute numeric value of each element.
 
 # DataFrame.abs
 
-danfo.DataFrame.**abs**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L973)\]
+danfo.DataFrame.**abs**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L973)]
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -33,14 +33,13 @@ df_abs.abs().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -69,4 +68,3 @@ df_abs.abs().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 3e20f6a..2ba2b93 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -4,39 +4,19 @@ description: Add new column to a DataFrame
 
 # DataFrame.addColumn
 
-danfo.DataFrame.**addColumn**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>column</b> : str, name of the column to add</p>
-        <p><b> value: </b>Series<b>, </b>Array. New values to add }</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**addColumn**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
 
-**Returns:**
+| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| kwargs     | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
 
-       ****return **Null**
+**Returns:**
 
 ## **Examples**
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens  so returns nothing,
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,20 +33,18 @@ let new_col = [1, 2, 3, 4]
 df.addColumn({ "column": "D", "values": new_col, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -112,21 +90,18 @@ let s = new dfd.Series([1, 2, 3, 4])
 df.addColumn({ "column": "D", "values": s, inplace: true });
 
 df.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -141,4 +116,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.apply.md b/api-reference/dataframe/danfo.dataframe.apply.md
index 2812b5c..1d664dd 100644
--- a/api-reference/dataframe/danfo.dataframe.apply.md
+++ b/api-reference/dataframe/danfo.dataframe.apply.md
@@ -7,37 +7,15 @@ description: >-
 
 # DataFrame.apply
 
-danfo.DataFrame.**apply**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>callable</b>: Function to call on each element,</p>
-        <p><b>axis</b>: <em>undefined</em>: if undefined, then any JavaScript function</p>
-        <p>is accepted and will be applied element-wise.</p>
-        <p><em><b>             </b>0<b>: </b>Apply along</em> row/index axis</p>
-        <p><em><b>             </b>1</em>: Apply across columns axis</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">undefined</td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**apply**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                     | Default   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
+| kwargs     | Object | <p>{<strong>callable</strong>: Function to call on each element,</p><p><strong>axis</strong>: <em>undefined</em>: if undefined, then any JavaScript function </p><p>                            is accepted and will be applied element-wise.</p><p><em><strong>             </strong>0<strong>: </strong>Apply along</em> row/index axis</p><p><em><strong>             </strong>1</em>: Apply across columns axis</p><p>}</p> | undefined |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -65,14 +43,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -110,14 +87,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ short_name        │ long_name         ║
 ╟───┼───────────────────┼───────────────────╢
@@ -158,14 +134,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -203,14 +178,13 @@ df_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -223,4 +197,3 @@ df_new.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.column.md b/api-reference/dataframe/danfo.dataframe.column.md
index a937fc6..eabb06d 100644
--- a/api-reference/dataframe/danfo.dataframe.column.md
+++ b/api-reference/dataframe/danfo.dataframe.column.md
@@ -4,15 +4,15 @@ description: Return the elements of the specified column in the DataFrame
 
 # DataFrame.column
 
-danfo.DataFrame.**column**\(col\_name\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)\]
+danfo.DataFrame.**column**(col_name) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| col\_name | Str | The name of a column in the DataFrame |  |
+| Parameters | Type | Description                           | Default |
+| ---------- | ---- | ------------------------------------- | ------- |
+| col_name   | Str  | The name of a column in the DataFrame |         |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
@@ -38,14 +38,13 @@ df['Name'].print() //produces the same result as above
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ Name                 ║
 ╟───┼──────────────────────╢
@@ -74,4 +73,3 @@ df['Name'].print() //produces the same result as above
 {% endtabs %}
 
 To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
-
diff --git a/api-reference/dataframe/danfo.dataframe.copy.md b/api-reference/dataframe/danfo.dataframe.copy.md
index d149d12..ef705ed 100644
--- a/api-reference/dataframe/danfo.dataframe.copy.md
+++ b/api-reference/dataframe/danfo.dataframe.copy.md
@@ -4,11 +4,11 @@ description: Makes a new copy of the DataFrame
 
 # DataFrame.copy
 
-danfo.DataFrame.**copy**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)\]
+danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
 
 **Returns:**
 
-       ****return **new DataFrame**
+**       **return** new DataFrame**
 
 ## **Examples**
 
@@ -27,14 +27,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -52,5 +51,3 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/dataframe/danfo.dataframe.cumprod.md b/api-reference/dataframe/danfo.dataframe.cumprod.md
index 60fab0d..b780cd2 100644
--- a/api-reference/dataframe/danfo.dataframe.cumprod.md
+++ b/api-reference/dataframe/danfo.dataframe.cumprod.md
@@ -4,19 +4,19 @@ description: Return cumulative product over a DataFrame or Series axis.
 
 # DataFrame.cumprod
 
-danfo.DataFrame.**cumprod**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L739)\]
+danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-## Cumulative product of elements along default axis \(row\)
+## Cumulative product of elements along default axis (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -35,14 +35,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -58,7 +57,7 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-## Cumulative product of elements along column axis \(1\)
+## Cumulative product of elements along column axis (1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -77,14 +76,13 @@ new_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -99,4 +97,3 @@ new_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.describe.md b/api-reference/dataframe/danfo.dataframe.describe.md
index 7c5b2c1..525c51f 100644
--- a/api-reference/dataframe/danfo.dataframe.describe.md
+++ b/api-reference/dataframe/danfo.dataframe.describe.md
@@ -6,11 +6,11 @@ description: >-
 
 # DataFrame.describe
 
-danfo.DataFrame.**describe**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)\]
+danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -30,14 +30,13 @@ df.describe().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔══════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║          │ col1              │ col2              │ col3              ║
 ╟──────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -59,5 +58,4 @@ df.describe().print()
 {% endtab %}
 {% endtabs %}
 
-## 
-
+##
diff --git a/api-reference/dataframe/danfo.dataframe.dropna.md b/api-reference/dataframe/danfo.dataframe.dropna.md
index 08bc41e..cb0d5a4 100644
--- a/api-reference/dataframe/danfo.dataframe.dropna.md
+++ b/api-reference/dataframe/danfo.dataframe.dropna.md
@@ -1,46 +1,22 @@
 ---
-description: 'Remove missing values (NaNs, undefined) for DataFrame'
+description: Remove missing values (NaNs, undefined) for DataFrame
 ---
 
 # DataFrame.dropna
 
-danfo.DataFrame.**dropna**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>axis</b>: <em>0<b>: </b>Apply along</em> row/index axis</p>
-        <p><em><b>             </b>1</em>: Apply across columns axis</p>
-        <p><b>inplace</b>:If true, perform operation inplace</p>
-        <p>and return None.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">
-        <p>{<b>axis</b>: 0,</p>
-        <p> <b>inplace: </b>false}</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**dropna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                       | Default                                                                    |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
+| kwargs     | Object | <p>{<strong>axis</strong>: <em>0<strong>: </strong>Apply along</em> row/index axis</p><p><em><strong>             </strong>1</em>: Apply across columns axis</p><p><strong>inplace</strong>:If true, perform operation inplace </p><p>              and return None.</p><p> }</p> | <p>{<strong>axis</strong>: 0, </p><p> <strong>inplace: </strong>false}</p> |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Drop rows \(axis=0\) with missing values  
+### Drop rows (axis=0) with missing values  
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,14 +36,13 @@ df_drop.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -77,7 +52,7 @@ df_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop columns \(axis=1\) with missing values  
+### Drop columns (axis=1) with missing values  
 
 {% tabs %}
 {% tab title="Node" %}
@@ -97,14 +72,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╗
 ║   │ C                 ║
 ╟───┼───────────────────╢
@@ -119,4 +93,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.eq.md b/api-reference/dataframe/danfo.dataframe.eq.md
index 957c7a5..be1f7ff 100644
--- a/api-reference/dataframe/danfo.dataframe.eq.md
+++ b/api-reference/dataframe/danfo.dataframe.eq.md
@@ -1,23 +1,23 @@
 ---
-description: 'Get Equal to of DataFrame and other, element-wise (binary operator eq).'
+description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
 ---
 
 # DataFrame.eq
 
-danfo.DataFrame.**eq**\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+danfo.DataFrame.**eq**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -59,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -81,7 +80,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -104,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -127,7 +125,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -150,7 +147,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -170,7 +167,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -192,4 +188,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.fillna.md b/api-reference/dataframe/danfo.dataframe.fillna.md
index f019e6e..ac7cc79 100644
--- a/api-reference/dataframe/danfo.dataframe.fillna.md
+++ b/api-reference/dataframe/danfo.dataframe.fillna.md
@@ -6,37 +6,15 @@ description: >-
 
 # DataFrame.fillna
 
-danfo.DataFrame.**fillna**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>columns</b>:Array of column name(s) to fill. If undefined fill all
-          columns</p>
-        <p><b>values</b>: Array | Scalar of value(s) to fill with.</p>
-        <p><b>inplace</b>: boolean. true | false. Whether to perform operation to
-          the original Object or create a new one.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**fillna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                        | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
+| kwargs     | Object | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns</p><p><strong>values</strong>: Array | Scalar of value(s) to fill with. </p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p> }</p> |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -62,14 +40,13 @@ df_filled.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //Before filling
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -122,14 +99,13 @@ df_filled.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -171,14 +147,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -194,4 +169,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.ge.md b/api-reference/dataframe/danfo.dataframe.ge.md
index bc1efbc..ab0ea5c 100644
--- a/api-reference/dataframe/danfo.dataframe.ge.md
+++ b/api-reference/dataframe/danfo.dataframe.ge.md
@@ -6,20 +6,20 @@ description: >-
 
 # DataFrame.ge
 
-danfo.DataFrame.**ge**\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1616)\]
+danfo.DataFrame.**ge**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1616)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -39,14 +39,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -62,7 +61,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -85,7 +84,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -108,7 +106,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -132,7 +130,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -155,7 +152,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -175,7 +172,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -197,4 +193,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index 5f187bd..0b9dad9 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -4,15 +4,15 @@ description: Group DataFrame using a mapper or by a Series of columns.
 
 # DataFrame.groupby
 
-danfo.DataFrame.**groupby**\(columns\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)\]
+danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| columns | Array | The names of a column\(s\) in the DataFrame to group by |  |
+| Parameters | Type  | Description                                           | Default |
+| ---------- | ----- | ----------------------------------------------------- | ------- |
+| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
 
 **Returns:**
 
-       ****return **DataFrame.groups**
+**       **return** DataFrame.groups**
 
 ## **Examples**
 
@@ -33,14 +33,13 @@ group_df.col_dict
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ Name                 ║
 ╟───┼──────────────────────╢
@@ -69,4 +68,3 @@ group_df.col_dict
 {% endtabs %}
 
 To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
-
diff --git a/api-reference/dataframe/danfo.dataframe.gt.md b/api-reference/dataframe/danfo.dataframe.gt.md
index 7243088..0d6cb3c 100644
--- a/api-reference/dataframe/danfo.dataframe.gt.md
+++ b/api-reference/dataframe/danfo.dataframe.gt.md
@@ -1,23 +1,23 @@
 ---
-description: 'Get Greater than of DataFrame and other, element-wise (binary operator eq).'
+description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
 ---
 
 # DataFrame.gt
 
-danfo.DataFrame.**gt**\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1583)\]
+danfo.DataFrame.**gt**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1583)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -59,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -81,14 +80,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -104,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -128,14 +126,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -151,7 +148,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -171,14 +168,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -193,4 +189,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.head.md b/api-reference/dataframe/danfo.dataframe.head.md
index 3fec50c..10ae0f2 100644
--- a/api-reference/dataframe/danfo.dataframe.head.md
+++ b/api-reference/dataframe/danfo.dataframe.head.md
@@ -4,15 +4,15 @@ description: Returns the first n rows of the DataFrame based on position.
 
 # DataFrame.head
 
-danfo.DataFrame.**head**\(rows\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)\]
+danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | The number of rows to return | 5 |
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -34,14 +34,13 @@ s_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -52,4 +51,3 @@ s_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.isna.md b/api-reference/dataframe/danfo.dataframe.isna.md
index 5e8e811..b919db5 100644
--- a/api-reference/dataframe/danfo.dataframe.isna.md
+++ b/api-reference/dataframe/danfo.dataframe.isna.md
@@ -7,11 +7,11 @@ description: >-
 
 # DataFrame.isna
 
-danfo.DataFrame.**isna**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)\]
+danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -31,14 +31,13 @@ df.isna().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -53,4 +52,3 @@ df.isna().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.it.md b/api-reference/dataframe/danfo.dataframe.it.md
index 7dbc6eb..5d5d67b 100644
--- a/api-reference/dataframe/danfo.dataframe.it.md
+++ b/api-reference/dataframe/danfo.dataframe.it.md
@@ -1,23 +1,23 @@
 ---
-description: 'Get Less than of DataFrame and other, element-wise (binary operator eq).'
+description: Get Less than of DataFrame and other, element-wise (binary operator eq).
 ---
 
 # DataFrame.It
 
-danfo.DataFrame.l**t**\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)\]
+danfo.DataFrame.l**t**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -59,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -81,14 +80,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -104,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -128,14 +126,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -151,7 +148,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -172,14 +169,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -194,4 +190,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.le.md b/api-reference/dataframe/danfo.dataframe.le.md
index b6e33b9..9b86440 100644
--- a/api-reference/dataframe/danfo.dataframe.le.md
+++ b/api-reference/dataframe/danfo.dataframe.le.md
@@ -6,20 +6,20 @@ description: >-
 
 # DataFrame.le
 
-danfo.DataFrame.le\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+danfo.DataFrame.le(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -39,14 +39,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -62,7 +61,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -85,14 +84,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -108,7 +106,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -131,7 +129,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -154,7 +151,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -174,7 +171,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -196,4 +192,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.ne.md b/api-reference/dataframe/danfo.dataframe.ne.md
index 4a807f7..8dfddc9 100644
--- a/api-reference/dataframe/danfo.dataframe.ne.md
+++ b/api-reference/dataframe/danfo.dataframe.ne.md
@@ -1,23 +1,23 @@
 ---
-description: 'Get Not Equal to of DataFrame and other, element-wise (binary operator eq).'
+description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
 ---
 
 # DataFrame.ne
 
-danfo.DataFrame.ne\(other, axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1633)\]
+danfo.DataFrame.ne(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1633)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |  |
-| axis | Int | Whether to compare by the index \(0\) or columns \(1\). | 0 |
+| Parameters | Type                             | Description                                             | Default |
+| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
+| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### Comparing ****DataFrame with a scalar value:
+### Comparing** **DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -59,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a Series along the column axis:
+### Comparing** **DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -81,14 +80,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -104,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a DataFrame
+### Comparing** **DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -128,14 +126,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -151,7 +148,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing ****DataFrame with a JavaScript Array
+### Comparing** **DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -171,14 +168,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -189,4 +185,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.query.md b/api-reference/dataframe/danfo.dataframe.query.md
index 902230c..141b642 100644
--- a/api-reference/dataframe/danfo.dataframe.query.md
+++ b/api-reference/dataframe/danfo.dataframe.query.md
@@ -6,44 +6,21 @@ description: >-
 
 # DataFrame.query
 
-danfo.DataFrame.**query**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>column</b> : str, name of the column</p>
-        <p><b> is: </b>Logical operator, one of &quot;&gt;&quot;, &quot;&lt;&quot;,
-          &quot;&gt;=&quot;, &quot;&lt;=&quot;, and. &quot;==&quot;</p>
-        <p><b>to</b>: Int, Float, Str. Value to compare against,</p>
-        <p><b>inplace</b>: boolean. true | false. Whether to perform operation to
-          the original Object or create a new one.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>inplace</b>: false}</td>
-    </tr>
-  </tbody>
-</table>
+danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                               | Default              |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- |
+| kwargs     | Object | <p>{<strong>column</strong> : str, name of the column </p><p><strong> is: </strong>Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
 
 **Returns:**
 
-       ****return **new DataFrame**
+**       **return** new DataFrame**
 
 ## **Examples**
 
 ## **Query a DataFrame using logical operators**
 
-To query a DataFrame, you can specify the column to use, the logical operator \("&gt;", "&lt;", "&gt;=", "&lt;=", and. "=="\), and the value to compare against. 
+To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -65,14 +42,13 @@ query_df.print() //after query
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //before query
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -118,14 +94,13 @@ query_df.print() //after query
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -173,14 +148,13 @@ query_df.print() //after query
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -234,14 +208,13 @@ df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -252,4 +225,3 @@ df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.replace.md b/api-reference/dataframe/danfo.dataframe.replace.md
index 91e21f1..e4dae64 100644
--- a/api-reference/dataframe/danfo.dataframe.replace.md
+++ b/api-reference/dataframe/danfo.dataframe.replace.md
@@ -4,38 +4,17 @@ description: Replaces values in a DataFrame with specified values
 
 # DataFrame.replace
 
-> danfo.DataFrame.**replace**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">kwargs</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{<b>replace: </b>int, float, str.<b> </b>The value to replace.</p>
-        <p> <b>with</b>: Int, float, str. The new value to replace with.</p>
-        <p> <b>in: </b>Array<b>. </b>An array of column names to replace, If not specified,
-          replace all columns.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+> danfo.DataFrame.**replace**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                        | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
+| kwargs     | Object | <p> {<strong>replace: </strong>int, float, str.<strong> </strong>The value to replace.</p><p>  <strong>with</strong>: Int, float, str. The new value to replace with.</p><p>  <strong>in: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p>}</p> |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
-\*\*\*\*
+****
 
 ## **Examples**
 
@@ -58,14 +37,13 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -81,7 +59,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-By not specifying a ****column**,** the ****replace works on all columns  ****
+By not specifying a** **column**, **the** **replace works on all columns ** **
 
 {% tabs %}
 {% tab title="Node" %}
@@ -101,7 +79,6 @@ df_rep.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -120,4 +97,3 @@ df_rep.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.sum.md b/api-reference/dataframe/danfo.dataframe.sum.md
index d8d1e96..6a8125c 100644
--- a/api-reference/dataframe/danfo.dataframe.sum.md
+++ b/api-reference/dataframe/danfo.dataframe.sum.md
@@ -4,19 +4,19 @@ description: Return the sum of the values for the requested axis.
 
 # DataFrame.sum
 
-danfo.DataFrame.**sum**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)\]
+danfo.DataFrame.**sum**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                            | Default   |
+| ---------- | ------ | -------------------------------------- | --------- |
+| kwargs     | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-## Sum elements along default axis \(column\)
+## Sum elements along default axis (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -36,14 +36,13 @@ df_sum.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -69,7 +68,7 @@ df_sum.print()
 {% endtab %}
 {% endtabs %}
 
-## Sum elements along row axis \(0\)
+## Sum elements along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -89,14 +88,13 @@ df_sum.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -123,4 +121,3 @@ df_sum.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.tail.md b/api-reference/dataframe/danfo.dataframe.tail.md
index a69fa3e..f317ba2 100644
--- a/api-reference/dataframe/danfo.dataframe.tail.md
+++ b/api-reference/dataframe/danfo.dataframe.tail.md
@@ -4,15 +4,15 @@ description: Returns the last n rows from the DataFrame based on position.
 
 # DataFrame.tail
 
-danfo.DataFrame.**tail**\(rows\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)\]
+danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | The number of rows to return | 5 |
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -34,14 +34,13 @@ s_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -52,4 +51,3 @@ s_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/dataframe.dtypes.md b/api-reference/dataframe/dataframe.dtypes.md
index b59af75..6e856d5 100644
--- a/api-reference/dataframe/dataframe.dtypes.md
+++ b/api-reference/dataframe/dataframe.dtypes.md
@@ -7,15 +7,15 @@ description: >-
 
 # DataFrame.ctypes
 
-danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)\]
+danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
 
 **Returns:**
 
-       ****return  **Series**
+**       **return**  Series**
 
 ## **Examples**
 
-Returns auto-generated ****index of a ****DataFrame
+Returns auto-generated** **index of a** **DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -34,14 +34,13 @@ df.ctypes.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -76,14 +75,13 @@ df.ctypes.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -100,4 +98,3 @@ df.ctypes.print()
 {% endtabs %}
 
 **Note**: To cast a type, use the [astype](dataframe.astype.md) method. 
-
diff --git a/api-reference/dataframe/dataframe.ndim.md b/api-reference/dataframe/dataframe.ndim.md
index a163ac4..002da15 100644
--- a/api-reference/dataframe/dataframe.ndim.md
+++ b/api-reference/dataframe/dataframe.ndim.md
@@ -6,13 +6,13 @@ description: >-
 
 # DataFrame.ndim
 
-danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
+danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-       ****return **Int**
+**       **return** Int**
 
-**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
+**Note:** To get the **shape **of the DataFrame use the .[shape](dataframe.shape.md) property.
 
 ## **Examples**
 
@@ -33,16 +33,14 @@ console.log(df.ndim)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 2
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/dataframe.nunique.md b/api-reference/dataframe/dataframe.nunique.md
deleted file mode 100644
index 53b88fd..0000000
--- a/api-reference/dataframe/dataframe.nunique.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: >-
-  Return unique values of DataFrame along an axis. Uniques are returned in order
-  of appearance. Set-based unique, therefore does NOT sort.
----
-
-# DataFrame.unique
-
-danfo.DataFrame.**unique**\(axis\) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1945)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| axis | Int |  0 for row axis, and 1 for column axis | 1 |
-
-**Returns:**
-
-       ****return **Object**
-
-## **Examples**
-
-### Return unique values along column axis \(axis=1\)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-console.log(df.unique()) //defaults to axis 1
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-{
-  A: [ -20, 30, 47.3 ],
-  B: [ 34, -4, 5, 6 ],
-  C: [ 20, 30 ],
-  D: [ 'a', 'b', 'c' ]
-}
-```
-{% endtab %}
-{% endtabs %}
-
-### Return unique values in row axis \(axis=0\)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-console.log(df.unique(axis=0));
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-{
-  '0': [ -20, 34, 20, 'a' ],
-  '1': [ 30, -4, 20, 'b' ],
-  '2': [ 47.3, 5, 30, 'c' ],
-  '3': [ -20, 6, 30, 'c' ]
-}
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To get the number of unique elements along an axis, use ****[DataFrame.nunique.](dataframe.nunique-1.md)
-
diff --git a/api-reference/dataframe/dataframe.select_dtypes.md b/api-reference/dataframe/dataframe.select_dtypes.md
index f145e92..127b433 100644
--- a/api-reference/dataframe/dataframe.select_dtypes.md
+++ b/api-reference/dataframe/dataframe.select_dtypes.md
@@ -2,17 +2,17 @@
 description: Return a subset of the DataFrame’s columns based on the column dtypes.
 ---
 
-# DataFrame.select\_dtypes
+# DataFrame.select_dtypes
 
-danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)\]
+danfo.DataFrame.**select_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| include | Array | List of column dtypes to return  |  |
+| Parameters | Type  | Description                      | Default |
+| ---------- | ----- | -------------------------------- | ------- |
+| include    | Array | List of column dtypes to return  |         |
 
 **Returns:**
 
-       ****return  **DataFrame**
+**       **return**  DataFrame**
 
 ## **Examples**
 
@@ -42,14 +42,13 @@ str_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //select float column(s)
 ╔═══╤══════════════════════╗
 ║   │ A                    ║
@@ -93,4 +92,3 @@ str_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/dataframe.shape.md b/api-reference/dataframe/dataframe.shape.md
index ef0b4ca..3e8486f 100644
--- a/api-reference/dataframe/dataframe.shape.md
+++ b/api-reference/dataframe/dataframe.shape.md
@@ -4,11 +4,11 @@ description: Returns an Array representing the dimensionality of the DataFrame.
 
 # DataFrame.shape
 
-danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
+danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-       ****return **Int**
+**       **return** Int**
 
 ## **Examples**
 
@@ -30,16 +30,14 @@ console.log(df.shape)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [4,3]
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/dataframe.size.md b/api-reference/dataframe/dataframe.size.md
deleted file mode 100644
index a1cece6..0000000
--- a/api-reference/dataframe/dataframe.size.md
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: >-
-  Return an int representing the number of elements in this object. Return the
-  number of rows if Series. Otherwise return the number of rows times number of
-  columns if DataFrame.
----
-
-# DataFrame.size
-
-danfo.DataFrame.**size** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
-
-**Returns:**
-
-       ****return **Int**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.size)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-12
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference/dataframe/dataframe.values.md b/api-reference/dataframe/dataframe.values.md
index 0f87f7f..6b7ea1d 100644
--- a/api-reference/dataframe/dataframe.values.md
+++ b/api-reference/dataframe/dataframe.values.md
@@ -4,13 +4,13 @@ description: Return a the JavaScript array representation of the DataFrame.
 
 # DataFrame.values
 
-danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)\]
+danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-       ****return **Array**
+**       **return** Array**
 
-**Note:** To get the [Tensorflow](https://js.tensorflow.org/) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.  
+**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.  
 
 ## **Examples**
 
@@ -32,14 +32,13 @@ console.log(df.values)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [
   [ -20.1, 34, 20 ],
   [ 30, -4, -20 ],
@@ -49,4 +48,3 @@ console.log(df.values)
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index b74b5da..07815b0 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -6,23 +6,22 @@ description: Top level functions that can be called from the Danfo namespace
 
 ### Data manipulations
 
-|  |  |
-| :--- | :--- |
-| [`merge`](danfo.merge.md) | Merge DataFrame or named Series objects with a database-style join. |
-| [`concat`](danfo.concat.md) | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
-| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding |
+|                                       |                                                                                                 |
+| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
+| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
+| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
+| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
 
 ### Data Processing/Normalization
 
-| [LabelEncoder](danfo.labelencoder.md) | Encode target labels with value between 0 and n\_classes-1. |
-| :--- | :--- |
-| [OneHotEncoder](danfo.onehotencoder.md) | Encode categorical features as a one-hot numeric array. |
+| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
+| ----------------------------------------- | ---------------------------------------------------------------------- |
+| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
 | [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
-| [`MinMaxScaler`](danfo.minmaxscaler.md) | Transform features by scaling each feature to a given range |
+| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
 
 ### Top-level dealing with datetime
 
-| [`to_datetime`](danfo.to_datetime.md) | Convert argument to datetime. |
-| :--- | :--- |
-| [`date_range`](danfo.date_range.md) | Return a fixed frequency DatetimeIndex. |
-
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
+| ------------------------------------ | --------------------------------------- |
+| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference/general-functions/danfo.concat.md b/api-reference/general-functions/danfo.concat.md
index 3422f83..19c3d8e 100644
--- a/api-reference/general-functions/danfo.concat.md
+++ b/api-reference/general-functions/danfo.concat.md
@@ -4,41 +4,19 @@ description: Concatenate DataFrames and Series along an axis
 
 # danfo.concat
 
-danfo.**concat**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><b>kwargs</b>
-      </td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>df_list</b>: List of DataFrames or Series to concatenate together.</p>
-        <p><b>axis</b>: One of 0 or 1. The axis on which to perform concatenation.
-          Specified axis must align in both Objects</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>axis</b>: 1}</td>
-    </tr>
-  </tbody>
-</table>
+danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
+| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### **Concatenate two DataFrames along column axis \(1\)** 
+### **Concatenate two DataFrames along column axis (1) **
 
 {% tabs %}
 {% tab title="Node" %}
@@ -66,14 +44,13 @@ com_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -89,7 +66,7 @@ com_df.print()
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two DataFrames along row axis \(0\)** 
+### **Concatenate two DataFrames along row axis (0) **
 
 {% tabs %}
 {% tab title="Node" %}
@@ -117,14 +94,13 @@ com_df.print(10)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
@@ -149,7 +125,7 @@ com_df.print(10)
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two Series along row axis \(0\)** 
+### **Concatenate two Series along row axis (0) **
 
 {% tabs %}
 {% tab title="Node" %}
@@ -177,14 +153,13 @@ com_df.print(10)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
@@ -210,4 +185,3 @@ com_df.print(10)
 {% endtabs %}
 
 See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
-
diff --git a/api-reference/general-functions/danfo.date_range.md b/api-reference/general-functions/danfo.date_range.md
index c172783..32d18b8 100644
--- a/api-reference/general-functions/danfo.date_range.md
+++ b/api-reference/general-functions/danfo.date_range.md
@@ -2,40 +2,17 @@
 description: Return a fixed frequency Dates spread between start and end parameters.
 ---
 
-# danfo.date\_range
-
-danfo.**date\_range**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><b>kwargs</b>
-      </td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>start</b>: str or datetime-like. Left bound for generating dates.</p>
-        <p><b>end</b>: str or datetime-like. Right bound for generating dates.</p>
-        <p><b>period</b> : int. Number of periods to generate.</p>
-        <p><b>freq</b>: str or DateOffset, one of [&quot;M&quot;,&quot;D&quot;,&quot;s&quot;,&quot;H&quot;,&quot;m&quot;,&quot;Y&quot;].</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>freq:</b> &apos;D&apos;}</td>
-    </tr>
-  </tbody>
-</table>
+# danfo.date_range
+
+danfo.**date_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
+| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -80,7 +57,7 @@ console.log(data);
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [
   '1/1/2018, 12:00:00 AM',
   '2/1/2018, 12:00:00 AM',
@@ -104,14 +81,13 @@ console.log(data);
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [
   '1/1/2018, 12:00:00 AM',
   '1/1/2019, 12:00:00 AM',
@@ -131,6 +107,5 @@ console.log(data);
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
-
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 1cb3b8f..793aa58 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -2,40 +2,18 @@
 description: Convert categorical variable into dummy/indicator variables.
 ---
 
-# danfo.get\_dummies
-
-danfo.**get\_dummies**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><b>kwargs</b>
-      </td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>data</b>: Array | Series | DataFrame</p>
-        <p><b>prefix_sep</b>: String separator for created columns e.g &quot;_&quot;,</p>
-        <p><b>prefix</b>: String | Array of String, of column names</p>
-        <p><b>columns</b>: [Array] columns to be encoded in DataFrame.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>prefix_sep</b>: &quot;_&quot;}</td>
-    </tr>
-  </tbody>
-</table>
+# danfo.get_dummies
+
+danfo.**get_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
+| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
+| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -49,35 +27,34 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies({data: sf1, prefix:"fruit"})
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
 dum_df.print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -96,21 +73,20 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df })
+let dum_df = dfd.get_dummies(df)
 dum_df.print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ fruits            │ Count             │ Country           ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,21 +135,20 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies({ data: df, columns: ['fruits']})
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ fruits            │ Count             │ Country           ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -211,4 +186,3 @@ dum_df.print()
 {% hint style="info" %}
 See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
 {% endhint %}
-
diff --git a/api-reference/general-functions/danfo.labelencoder.md b/api-reference/general-functions/danfo.labelencoder.md
index 1951475..12d57ee 100644
--- a/api-reference/general-functions/danfo.labelencoder.md
+++ b/api-reference/general-functions/danfo.labelencoder.md
@@ -4,9 +4,9 @@ description: Encode target labels with value between 0 and n_classes-1.
 
 # danfo.LabelEncoder
 
-class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**LabelEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks. 
+danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n_classes -1. This is mostly used as a preprocessing step before most machine learning tasks. 
 
 The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method. 
 
@@ -35,14 +35,13 @@ new_sf.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
@@ -105,14 +104,13 @@ new_sf.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
@@ -139,5 +137,4 @@ LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
 {% endtab %}
 {% endtabs %}
 
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get_dummies.md)
-
+See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference/general-functions/danfo.merge.md b/api-reference/general-functions/danfo.merge.md
index 54b3330..82a9a3d 100644
--- a/api-reference/general-functions/danfo.merge.md
+++ b/api-reference/general-functions/danfo.merge.md
@@ -6,40 +6,15 @@ description: >-
 
 # danfo.merge
 
-danfo.**merge**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><b>kwargs</b>
-      </td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>left</b>: A DataFrame or named Series object.</p>
-        <p><b>right</b>: Another DataFrame or named Series object.</p>
-        <p><b>on</b>: Column names to join on. Must be found in both the left and
-          right DataFrame and/or Series objects.</p>
-        <p><b>how</b>: One of <code>&apos;left&apos;,&apos;right&apos;</code>,<code>&apos;outer&apos;</code>, <code>&apos;inner&apos;</code>.
-          Defaults to &apos;inner&apos;</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">{<b>how</b>: inner}</td>
-    </tr>
-  </tbody>
-</table>
+danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
@@ -80,14 +55,13 @@ merge_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
  //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -169,14 +143,13 @@ merge_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -254,14 +227,13 @@ merge_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //First DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -339,14 +311,13 @@ merge_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -424,14 +395,13 @@ merge_df.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -481,4 +451,3 @@ merge_df.print()
 {% hint style="info" %}
 See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
 {% endhint %}
-
diff --git a/api-reference/general-functions/danfo.minmaxscaler.md b/api-reference/general-functions/danfo.minmaxscaler.md
index b0c4310..06add63 100644
--- a/api-reference/general-functions/danfo.minmaxscaler.md
+++ b/api-reference/general-functions/danfo.minmaxscaler.md
@@ -4,7 +4,7 @@ description: Transform features by scaling each feature to a range of max and mi
 
 # danfo.MinMaxScaler
 
-class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**MinMaxScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
 
@@ -40,14 +40,13 @@ df_enc.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
@@ -100,14 +99,13 @@ df_enc.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
  Shape: (3,1) 
 
@@ -125,4 +123,3 @@ df_enc.print()
 {% endtabs %}
 
 See also [MinMaxScaler](danfo.minmaxscaler.md)
-
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 752a196..fdb8d4a 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**OneHotEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
 
 danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
 
-The API is similar to sklearn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
 
 ## **Examples**
 
@@ -40,14 +40,13 @@ new_sf.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ pear              │ mango             │ pawpaw            │ bean              ║
@@ -108,14 +107,13 @@ new_sf.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ pear              │ mango             │ pawpaw            │ bean              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -147,5 +145,4 @@ new_sf.print()
 {% endtab %}
 {% endtabs %}
 
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get_dummies.md)
-
+See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 5e66567..298d86e 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -4,11 +4,11 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 # danfo.StandardScaler
 
-class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+class danfo.**StandScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
-danfo.js provides the StandardScaler class for standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
-> z = \(x - u\) / s
+> z = (x - u) / s
 
 where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
 
@@ -37,14 +37,13 @@ sf_enc.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -97,14 +96,13 @@ df_enc.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -132,4 +130,3 @@ df_enc.print()
 {% endtabs %}
 
 See also [MinMaxScaler](danfo.minmaxscaler.md)
-
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 2e7c0a3..6112004 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,51 +1,31 @@
 ---
-description: Convert Object to datetime format
+description: Converts an array of Date time string to Date object.
 ---
 
-# danfo.to\_datetime
-
-danfo.**to\_datetime**\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><b>kwargs</b>
-      </td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{</p>
-        <p><b>data</b>: Array | Series, the object to convert.</p>
-        <p><b>format</b>: The strftime to parse time, eg &quot;%Y-m-d%&quot;, &quot;%m-d-Y%&quot;,
-          and &quot;%m-d-Y H%M%S%&quot;</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+# danfo.to_datetime
+
+danfo.**to_datetime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type          | Description                                                                                                       | Default |
+| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
+| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
 
 **Returns:**
 
-       ****return **DataFrame**
+**       **return** DataFrame**
 
 ## **Examples**
 
-### **Convert Series to Dummy codes**
+Converts a **Series** of Date strings to Date time and get time properties
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
-let dt = dfd.to_datetime({data:sf})
+sf.print()
+
+let dt = dfd.toDateTime({data:sf})
 
 dt.month().print()
 dt.month_name().print()
@@ -57,93 +37,105 @@ dt.seconds().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
 //Int representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╚═══╧══════════════════════╝
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
 
 //string representation for month
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╟───┼──────────────────────╢
-║ 3 │ Apr                  ║
-╟───┼──────────────────────╢
-║ 4 │ May                  ║
-╚═══╧══════════════════════╝
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
 
 //string representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 1 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 2 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 3 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 4 │ Tue                  ║
-╚═══╧══════════════════════╝
-
-//Int representation for day of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2                    ║
-╚═══╧══════════════════════╝
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
 //Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 0                    ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
-
diff --git a/api-reference/groupby/groupby.agg.md b/api-reference/groupby/groupby.agg.md
index 45c844a..f9d6a5f 100644
--- a/api-reference/groupby/groupby.agg.md
+++ b/api-reference/groupby/groupby.agg.md
@@ -4,13 +4,13 @@ description: Obtain data aggregate per groups for each column
 
 # Groupby.agg
 
-> danfo.Groupby.**agg**\(kwargs\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)\]
+> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |  |
+| Parameters | Type   | Description                                                                                               | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
+| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
 
-**Return:** DataFrame
+**Return: **DataFrame
 
 **Examples**
 
@@ -38,7 +38,7 @@ grp.agg({"C":"mean","D":"sum"}).print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -74,7 +74,7 @@ grp.agg({"C":"mean","D":"sum"}).print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (5,4) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -91,4 +91,3 @@ grp.agg({"C":"mean","D":"sum"}).print()
 ║ 4 │ bar               │ two               │ 2                 │ 6                 ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
-
diff --git a/api-reference/groupby/groupby.count.md b/api-reference/groupby/groupby.count.md
index 13a36d1..36733be 100644
--- a/api-reference/groupby/groupby.count.md
+++ b/api-reference/groupby/groupby.count.md
@@ -4,7 +4,7 @@ description: Count the occurrence of values in columns per groups
 
 # Groupby.count
 
-> danfo.Groupby.count\(\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)\]
+> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
 
 **Parameters**: None
 
@@ -37,7 +37,7 @@ grp.col(["C"]).count().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
   Shape: (2,2) 
 
@@ -74,7 +74,7 @@ grp.col(["C","D"]).count().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -111,7 +111,7 @@ grp.col(["C"]).count().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -153,7 +153,7 @@ grp.col(["C","D"]).count().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   
    Shape: (5,4) 
 
@@ -172,5 +172,4 @@ grp.col(["C","D"]).count().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
index e9ccab8..3b2b0e6 100644
--- a/api-reference/groupby/groupby.cumsum.md
+++ b/api-reference/groupby/groupby.cumsum.md
@@ -4,7 +4,7 @@ description: Obtain the cumulative sum per groups for each column
 
 # Groupby.cumsum
 
-> danfo.Groupby.**cumsum**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)\]
+> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
 
 **Parameters**: None
 
@@ -37,7 +37,7 @@ grp.col(["C"]).cumsum().tail().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
 Shape: (5,2) 
 
@@ -98,7 +98,7 @@ grp.col(["C","D"]).cumsum().tail().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   
  Shape: (5,3) 
 
@@ -160,7 +160,7 @@ grp.col(["C"]).cumsum().tail().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -220,7 +220,7 @@ grp.col(["C","D"]).cumsum().tail().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   
    Shape: (5,4) 
 
@@ -256,5 +256,4 @@ grp.col(["C","D"]).cumsum().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.max.md b/api-reference/groupby/groupby.max.md
index 1de767f..6bebae5 100644
--- a/api-reference/groupby/groupby.max.md
+++ b/api-reference/groupby/groupby.max.md
@@ -4,9 +4,9 @@ description: Obtain the maximum value of columns per groups
 
 # Groupby.max
 
-> danfo.Groupby.max\(\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)\]
+> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
 
-**Parameters:** None
+**Parameters: **None
 
 **Returns**: DataFrame
 
@@ -36,7 +36,7 @@ grp.col(["C"]).max().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,2) 
 
 ╔═══╤═══════════════════╤═══════════════════╗
@@ -73,7 +73,7 @@ grp.col(["C","D"]).max().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -109,7 +109,7 @@ grp.col(["C"]).max().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -151,7 +151,7 @@ grp.col(["C","D"]).max().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (5,4) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -168,4 +168,3 @@ grp.col(["C","D"]).max().print()
 ║ 4 │ bar               │ two               │ 2                 │ 6                 ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
-
diff --git a/api-reference/groupby/groupby.mean.md b/api-reference/groupby/groupby.mean.md
index bfb0ad0..add6958 100644
--- a/api-reference/groupby/groupby.mean.md
+++ b/api-reference/groupby/groupby.mean.md
@@ -4,7 +4,7 @@ description: Obtain the mean per groups for each column(s)
 
 # Groupby.mean
 
-> danfo.Series.mean\(\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)\]
+> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
 
 **Parameters**: None
 
@@ -36,7 +36,7 @@ grp.col(["C"]).mean().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
   Shape: (2,2) 
 
@@ -74,7 +74,7 @@ grp.col(["C","D"]).mean().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -110,7 +110,7 @@ grp.col(["C"]).mean().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
     Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -152,7 +152,7 @@ grp.col(["C","D"]).mean().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
     Shape: (5,4) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -170,5 +170,4 @@ grp.col(["C","D"]).mean().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.min.md b/api-reference/groupby/groupby.min.md
index 75e1b60..0151e64 100644
--- a/api-reference/groupby/groupby.min.md
+++ b/api-reference/groupby/groupby.min.md
@@ -4,7 +4,7 @@ description: Obtain the minimum value per groups for a coumn(s)
 
 # Groupby.min
 
-> danfo.Groupby.min\(\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)\]
+> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
 
 **Parameters**: None
 
@@ -36,7 +36,7 @@ grp.col(["C"]).min().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,2) 
 
 ╔═══╤═══════════════════╤═══════════════════╗
@@ -72,7 +72,7 @@ grp.col(["C","D"]).min().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -108,7 +108,7 @@ grp.col(["C"]).min().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -150,7 +150,7 @@ grp.col(["C","D"]).min().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   Shape: (5,4) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -168,5 +168,4 @@ grp.col(["C","D"]).min().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.std.md b/api-reference/groupby/groupby.std.md
index 30b22f1..c792a8e 100644
--- a/api-reference/groupby/groupby.std.md
+++ b/api-reference/groupby/groupby.std.md
@@ -4,7 +4,7 @@ description: Obtain the standard deviation per groups for specified columns
 
 # Groupby.std
 
-> danfo.Groupby.**std**\(\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)\]
+> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
 
 **Parameters**: None
 
@@ -37,7 +37,7 @@ grp.col(["C"]).std().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
  Shape: (2,2) 
 
@@ -74,7 +74,7 @@ grp.col(["C","D"]).std().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -111,7 +111,7 @@ grp.col(["C"]).std().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
     Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -153,7 +153,7 @@ grp.col(["C","D"]).std().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   
  Shape: (5,4) 
 
@@ -172,5 +172,4 @@ grp.col(["C","D"]).std().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.sum.md b/api-reference/groupby/groupby.sum.md
index 8e46a98..f6f2900 100644
--- a/api-reference/groupby/groupby.sum.md
+++ b/api-reference/groupby/groupby.sum.md
@@ -4,7 +4,7 @@ description: Obtain the sum per groups for columns
 
 # Groupby.sum
 
-> danfo.Groupby.sum\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)\]
+> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
 
 **Parameters**: None
 
@@ -36,7 +36,7 @@ grp.col(["C"]).sum().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
  Shape: (2,2) 
 
@@ -73,7 +73,7 @@ grp.col(["C","D"]).sum().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -109,7 +109,7 @@ grp.col(["C"]).sum().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
    Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -151,7 +151,7 @@ grp.col(["C","D"]).sum().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
    Shape: (5,4) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -169,5 +169,4 @@ grp.col(["C","D"]).sum().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/groupby/groupby.var.md b/api-reference/groupby/groupby.var.md
index 20a3ca8..373109f 100644
--- a/api-reference/groupby/groupby.var.md
+++ b/api-reference/groupby/groupby.var.md
@@ -4,7 +4,7 @@ description: Obtain the variance per groups for a specified column
 
 # Groupby.var
 
-> danfo.Groupby.**var**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)\]
+> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
 
 **Parameters**: None
 
@@ -37,7 +37,7 @@ grp.col(["C"]).var().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 
  Shape: (2,2) 
 
@@ -74,7 +74,7 @@ grp.col(["C","D"]).var().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (2,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -111,7 +111,7 @@ grp.col(["C"]).var().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
  Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -153,7 +153,7 @@ grp.col(["C","D"]).var().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
   
   Shape: (5,4) 
 
@@ -172,5 +172,4 @@ grp.col(["C","D"]).var().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-\*\*\*\*
-
+****
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index f071ac9..e86d5de 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -1,18 +1,18 @@
 ---
-description: >-
-  Functions and methods to easily read tabular/structured data into DataFrame
-  and Series Objects
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
 ---
 
 # Input/Output
 
 ## CSV
 
-| \`\` |  |
-| :--- | :--- |
-| [`read_csv`](danfo.read_csv.md) | Read a comma-separated values \(csv\) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values \(xls\) file into DataFrame. |
-| [`read_json`](danfo.read_json.md) | Read a JSON values \(json\) file into DataFrame. |
-
-Writing `CSV` and `JSON` is done directly from structured types \(e.g. `DataFrame.to_csv`\)
+| \`\`                                |                                                          |
+| ----------------------------------- | -------------------------------------------------------- |
+| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
+| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
+| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
+| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
+| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
 
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d1ab8f8..030ccb7 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -4,61 +4,31 @@ description: >-
   reading of CSV files in chunks.
 ---
 
-# danfo.read\_csv
+# danfo.read_csv
 
-> danfo.**read\_csv**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
+> danfo.**read_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
 
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>:</td>
-      <td style="text-align:left">str, path or URL</td>
-      <td style="text-align:left">Any valid string path is acceptable. The string could be a URL. Valid
-        URL schemes include https, http, ftp, s3, gs, and file. Local file paths
-        are only accepted in Nodejs environment.</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>configs</b>:</td>
-      <td style="text-align:left">object, optional</td>
-      <td style="text-align:left">
-        <p></p>
-        <p>A CSV Config object that contains configurations for reading and decoding
-          from CSV file(s). Supported params are:</p>
-        <p><b>start</b>: The index position to start from when reading the CSV file.</p>
-        <p><b>end</b>: The end position to stop at when reading the CSV file.</p>
-        <p><b>... csvConfigs</b>: other supported Tensorflow csvConfig parameters.
-          See <a href="https://js.tensorflow.org/api/latest/#data.csv">https://js.tensorflow.org/api/latest/#data.csv</a> 
-        </p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
+| **Parameters** | Type                         | Description                                                                                                                                                                                                                  | Default                                                                                                           |
+| -------------- | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
+| _**source**_   | File object, File path, URL  | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path. </p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported. </p> |                                                                                                                   |
+| **configs**:   |  object, optional            | <p></p><p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>. </p><p><strong></strong></p>                                              | <p><strong>{</strong></p><p><strong>dynamicTyping: </strong>true,</p><p><strong>header: </strong>true</p><p>}</p> |
 
 **Returns:**
 
-     ****_**Promise**_. Resolves to DataFrame
+**     **_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
 
-The **read\_csv** method can read a csv file from local disk, or over the internet \(URL\). Reading of local files are only supported in danfojs-node. 
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("user_names.csv") //assumes file is in CWD
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -68,45 +38,9 @@ dfd.read_csv("user_names.csv") //assumes file is in CWD
   })
 ```
 {% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
 {% endtabs %}
 
-**Loading Files from URL**
+### **Reading files from a URL**
 
 By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
 
@@ -134,8 +68,8 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -163,29 +97,11 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 {% endtab %}
 {% endtabs %}
 
-**Reading Large Files**
-
-For extremely large files, that cannot be fit in memory at once, you can load them in chunks. For instance, this [dataset](http://eforexcel.com/wp/wp-content/uploads/2017/07/1500000%20Sales%20Records.7z) has over 1.5 million rows and will throw a memory error if you try to load everything at once. To read these type of files, you can load them in chunks and perform preprocessing to each chunk:
+### **Reading an input file object in the browser**
 
-**Note**: The dataset used in the following example cannot be downloaded over the internet as it is a zip file. So we download locally, unzip and load it in a danfojs-node environment.
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
 
 {% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_process_data() {
-  let df_chunk1 = await dfd.read_csv("1500000 Sales Records.csv", {start: 0, end: 10})
-  let df_chunk2 = await dfd.read_csv("1500000 Sales Records.csv", {start: 10, end: 20})
-
-  df_chunk1.head().print()
-  df_chunk2.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
 {% tab title="Browser" %}
 ```markup
 <!DOCTYPE html>
@@ -194,100 +110,26 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
 <body>
-
-    <div id="plot_div"></div>
+    <input type="file" id="file" name="file">
     <script>
-
-
-        async function run(start, end) {
-            let data_url = "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
-            let df = await dfd.read_csv(data_url, { start, end })
-            console.log(df.shape)
-            df.head().print()
-        }
-
-        run(0, 5)
-        run(5, 10)
-
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
+            })
+        })
+         
     </script>
 </body>
 
 </html>
 
-<!
-Output in console
-
-[5, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-17        │ 127.489998        │ 128.880005        │ 126.919998        │ ...               │ 106.7410523       │ 117.9276669       │ 129.1142814       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-18        │ 127.629997        │ 128.779999        │ 127.449997        │ ...               │ 107.842423        │ 118.9403335       │ 130.0382439       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-19        │ 128.479996        │ 129.029999        │ 128.330002        │ ...               │ 108.8942449       │ 119.8891668       │ 130.8840887       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-20        │ 128.619995        │ 129.5             │ 128.050003        │ ...               │ 109.7854494       │ 120.7635001       │ 131.7415509       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-02-23        │ 130.020004        │ 133               │ 129.660004        │ ...               │ 110.3725162       │ 121.7201668       │ 133.0678174       │ Increasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[10, 11]
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Date              │ AAPL.Open         │ AAPL.High         │ AAPL.Low          │ ...               │ dn                │ mavg              │ up                │ direction         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 2015-02-24        │ 132.940002        │ 133.600006        │ 131.169998        │ ...               │ 111.0948689       │ 122.6648335       │ 134.2347981       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 2015-02-25        │ 131.559998        │ 131.600006        │ 128.149994        │ ...               │ 113.2119183       │ 123.6296667       │ 134.0474151       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2015-02-26        │ 128.789993        │ 130.869995        │ 126.610001        │ ...               │ 114.1652991       │ 124.2823333       │ 134.3993674       │ Increasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2015-02-27        │ 130               │ 130.570007        │ 128.240005        │ ...               │ 114.9668484       │ 124.8426669       │ 134.7184854       │ Decreasing        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 2015-03-02        │ 129.25            │ 130.279999        │ 128.300003        │ ...               │ 115.8770904       │ 125.4036668       │ 134.9302432       │ Decreasing        ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
->
-
 ```
 {% endtab %}
 {% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Sub-Saharan A...  │ South Africa      │ Fruits            │ Offline           │ ...               │ 6.92              │ 14862.69          │ 11023.56          │ 3839.13           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Morocco           │ Clothes           │ Online            │ ...               │ 35.84             │ 503890.08         │ 165258.24         │ 338631.84         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Australia and...  │ Papua New Guinea  │ Meat              │ Offline           │ ...               │ 364.69            │ 151880.4          │ 131288.4          │ 20592             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Sub-Saharan A...  │ Djibouti          │ Clothes           │ Offline           │ ...               │ 35.84             │ 61415.36          │ 20142.08          │ 41273.28          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Europe            │ Slovakia          │ Beverages         │ Offline           │ ...               │ 31.79             │ 188518.85         │ 126301.67         │ 62217.18          ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Region            │ Country           │ Item Type         │ Sales Channel     │ ...               │ Unit Cost         │ Total Revenue     │ Total Cost        │ Total Profit      ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Asia              │ Taiwan            │ Fruits            │ Offline           │ ...               │ 6.92              │ 74957.22          │ 55595.28          │ 19361.94          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Middle East a...  │ Algeria           │ Cosmetics         │ Online            │ ...               │ 263.33            │ 4227286.8         │ 2546137.77        │ 1681149.03        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Asia              │ Singapore         │ Snacks            │ Online            │ ...               │ 97.44             │ 1171204.08        │ 747949.44         │ 423254.64         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Australia and...  │ Papua New Guinea  │ Clothes           │ Offline           │ ...               │ 35.84             │ 993573.76         │ 325857.28         │ 667716.48         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ Asia              │ Vietnam           │ Personal Care     │ Online            │ ...               │ 56.67             │ 652532.32         │ 452453.28         │ 200079.04         ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index d8e3d9e..fe3453a 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -2,58 +2,30 @@
 description: Reads an excel file into DataFrame.
 ---
 
-# danfo.read\_excel
-
-> danfo.**read\_excel**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)\]
-
-> <table>
->   <thead>
->     <tr>
->       <th style="text-align:left">Parameters</th>
->       <th style="text-align:left">Type</th>
->       <th style="text-align:left">Description</th>
->     </tr>
->   </thead>
->   <tbody>
->     <tr>
->       <td style="text-align:left">source</td>
->       <td style="text-align:left">string</td>
->       <td style="text-align:left"><b>source</b> : string, URL or local file path to retreive Excel file.</td>
->     </tr>
->     <tr>
->       <td style="text-align:left">configs</td>
->       <td style="text-align:left">Object</td>
->       <td style="text-align:left">
->         <p>{</p>
->         <p><b>sheet</b> : string, (Optional) Name of the sheet which u want to parse.
->           Default will be the first sheet.</p>
->         <p><b>header_index</b> : int, (Optional) Only used in browser environment.
->           The Index of the row which represents the header(columns) of the data.
->           Default will be the first non empty row.</p>
->         <p><b>data_index</b> : int, (Optional) Only used in browser environment. The
->           index of the row from which actual data(content) starts. Default will be
->           the next row of <code>header_index</code>
->         </p>
->         <p>}</p>
->       </td>
->     </tr>
->   </tbody>
-> </table>
->
+# danfo.read_excel
+
+> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
+| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
+
 > **Returns:**
 >
->        ****return ****{**Promise**} DataFrame structure of parsed Excel data
+> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
 
 ### Example
 
-The **read\_excel** method can read excel files saved from local disk, or over the internet.
+The **read_excel** method can read excel files saved on a local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
+const path = require("path")
 
-local_xcel = 'testexcel.xls'
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
     let df = await dfd.read_excel(local_xcel)
@@ -94,4 +66,3 @@ load_process_data()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 49528d0..6566efe 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -2,28 +2,50 @@
 description: Reads a JSON file into DataFrame.
 ---
 
-# danfo.read\_json
+# danfo.read_json
 
-> danfo.**read\_json**\(source,\) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)\]
+> danfo.**read_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
 
-| **Parameters** | Type | Description |
-| :--- | :--- | :--- |
-| _**source**_: | **string**, path or URL  | Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported |
+| **Parameters** | Type                                            | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                         |
+| -------------- | ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
+| _**source**_   | Input file object, string file** **path or URL  | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p></p><p>An input file object is also supported in the browser. </p>                                                                                                                                                                                                              |                                                 |
+| options        | Object                                          | <p>Configuration options for reading JSON files. Supported options:</p><p> {<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>} </p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
 
 **Returns:**
 
-     ****_**Promise**_. Resolves to DataFrame
+**     **_**Promise**_. Resolves to DataFrame
 
-### Example
+The **read_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
-The **read\_json** method can read JSON file from local disk, or over the internet. For instance, in the example below, _**user\_names.json**_ is a JSON file in this same directory as our script. To read it into DataFrame, you can specify the relative path:
+### **Reading JSON files from local disk**
 
 {% tabs %}
 {% tab title="Node.js" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("user_names.json")
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
   .then(df => {
   
    df.head().print()
@@ -36,8 +58,71 @@ dfd.read_json("user_names.json")
 
 {% tab title="Browser" %}
 ```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
 
 ```
 {% endtab %}
 {% endtabs %}
 
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index e412af9..073e173 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -10,7 +10,7 @@ description: >-
 
 ### Basic Line plot on Series
 
-The **line** plot is exposed by the .**plot\(\)** function called on a Series or DataFrame. The **.plot\(\)** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
+The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
 
 ```markup
 <!DOCTYPE html>
@@ -43,7 +43,7 @@ The **line** plot is exposed by the .**plot\(\)** function called on a Series or
 
 ### Line plots on DataFrame
 
-The example below shows the plot of column values against a common x-axis \(index\)
+The example below shows the plot of column values against a common x-axis (index)
 
 ```markup
 <!DOCTYPE html>
@@ -73,7 +73,7 @@ The example below shows the plot of column values against a common x-axis \(inde
 
 ```
 
-![](../../.gitbook/assets/newplot-2-%20%281%29%20%281%29%20%282%29.png)
+![](<../../.gitbook/assets/newplot-2- (1) (1) (2) (2).png>)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
@@ -110,4 +110,3 @@ The example below shows how to plot two columns in a DataFrame against each othe
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 397b480..e910f57 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -6,7 +6,7 @@ description: Timeseries plot are based on date index
 
 ## Examples
 
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column. 
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
 ```markup
 <!DOCTYPE html>
@@ -44,17 +44,15 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
             }).catch(err => {
                 console.log(err);
             })
-         
+
     </script>
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-29-%20%282%29%20%281%29.png)
+![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index cc25049..7eefaa7 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -4,117 +4,116 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 # Series
 
-> `Series`\(data, {**columns:** \[ Array \], **dtypes:** \[ Array \], **index:** \[Array\]}\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)\]
+> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ],** index: **\[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
 
 ### Attributes
 
-| [`Series.index`](series.index.md) |      The index \(axis labels\) of the Series. |
-| :--- | :--- |
+| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
+| --------------------------------- | ------------------------------------------- |
 
-
-| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index. |
-| :--- | :--- |
+| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
+| ----------------------------------- | ---------------------------------------------------------------- |
 | [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
-| [`Series.dtype`](series.dtype.md) | Return the dtype object of the underlying data. |
-| [`Series.shape`](series.shape.md) | Return a tuple of the shape of the underlying data. |
-| [`Series.ndim`](series.ndim.md) | Number of dimensions of the underlying data, by definition 1. |
-| [`Series.size`](series.size.md) | Return the number of elements in the underlying data. |
+| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
+| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
+| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
+| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
 
 ### Conversion
 
-| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype |
-| :--- | :--- |
-| [`Series.copy`](series.copy.md) | Make a copy of this object’s indices and data. |
+| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
+| --------------------------------------------------- | ---------------------------------------------- |
+| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
 
 ### Indexing, iteration
 
-|  |  |
-| :--- | :--- |
-| \`\`[`Series.loc`](../dataframe/danfo.dataframe.loc.md)\`\` | Access a group of rows and columns by label\(s\) or a boolean array. |
-| [`Series.iloc`](series.iloc.md) | Purely integer-location based indexing for selection by position. |
+|                                                         |                                                                    |
+| ------------------------------------------------------- | ------------------------------------------------------------------ |
+| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
+| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
 
 ### Binary operator functions
 
-| [`Series.add`](series.add.md) | Return Addition of series and other, element-wise \(binary operator add\). |
-| :--- | :--- |
-| [`Series.sub`](series.sub.md) | Return Subtraction of series and other, element-wise \(binary operator sub\). |
-| [`Series.mul`](series.mul.md) | Return Multiplication of series and other, element-wise \(binary operator mul\). |
-| [`Series.div`](series.div.md) | Return Floating division of series and other, element-wise \(binary operator truediv\). |
-| [`Series.mod`](series.mod.md) | Return Modulo of series and other, element-wise \(binary operator mod\). |
-| [`Series.pow`](series.pow.md) | Return Exponential power of series and other, element-wise \(binary operator pow\). |
-| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals. |
-| [`Series.lt`](series.lt.md) | Return Less than of series and other, element-wise \(binary operator lt\). |
-| [`Series.gt`](series.gt.md) | Return Greater than of series and other, element-wise \(binary operator gt\). |
-| [`Series.le`](series.le.md) | Return Less than or equal to of series and other, element-wise \(binary operator le\). |
-| [`Series.ge`](series.ge.md) | Return Greater than or equal to of series and other, element-wise \(binary operator ge\). |
-| [`Series.ne`](series.ne.md) | Return Not equal to of series and other, element-wise \(binary operator ne\). |
-| [`Series.eq`](series.eq.md) | Return Equal to of series and other, element-wise \(binary operator eq\). |
-| [`Series.dot`](series.dot.md) | Compute the dot product between the Series and the columns of other. |
+| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
+| --------------------------------- | --------------------------------------------------------------------------------------- |
+| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
+| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
+| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
+| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
+| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
+| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
+| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
+| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
+| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
+| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
+| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
+| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
+| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
 
 ### Function application & GroupBy
 
-| [`Series.apply`](series.apply.md) | Invoke function on values of Series. |
-| :--- | :--- |
-| [`Series.map`](series.map.md) | Map values of Series according to input correspondence. |
+| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
+| --------------------------------- | ------------------------------------------------------- |
+| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
 
 ### Computations / descriptive stats
 
-| [`Series.abs`](series.abs.md) | Return a Series with absolute numeric value of each element. |
-| :--- | :--- |
-| [`Series.corr`](series.corr.md) | Compute correlation with other Series, excluding missing values. |
-| [`Series.count`](series.count.md) | Return number of non-NaN observations in the Series. |
-| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md) | Return cumulative maximum over a DataFrame or Series axis. |
-| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md) | Return cumulative minimum over a DataFrame or Series axis. |
-| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis. |
-| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md) | Return cumulative sum over a DataFrame or Series axis. |
-| [`Series.describe`](series.describe.md) | Generate descriptive statistics. |
-| [`Series.max`](series.max.md) | Return the maximum of the values for the requested axis. |
-| [`Series.mean`](series.mean.md) | Return the mean of the values for the requested axis. |
-| [`Series.median`](series.median.md) | Return the median of the values for the requested axis. |
-| [`Series.min`](series.min.md) | Return the minimum of the values for the requested axis. |
-| [`Series.mode`](series.mode.md) | Return the mode\(s\) of the dataset. |
-| [`Series.std`](series.std.md) | Return sample standard deviation over requested axis. |
-| [`Series.sum`](series.sum.md) | Return the sum of the values for the requested axis. |
-| [`Series.var`](series.var.md) | Return unbiased variance over requested axis. |
-| [`Series.unique`](series.unique.md) | Return unique values of Series object. |
-| [`Series.nunique`](series.nunique.md) | Return number of unique elements in the object. |
-| [`Series.value_counts`](series.value_counts.md) | Return a Series containing counts of unique values. |
+| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
+| ----------------------------------------------------------- | ---------------------------------------------------------------- |
+| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
+| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
+| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
+| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
+| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
+| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
+| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
+| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
+| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
+| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
+| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
+| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
+| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
+| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
+| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
+| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
+| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
+| [`Series.value_counts`](series.value_counts.md)             | Return a Series containing counts of unique values.              |
 
 ### Reindexing / selection / label manipulation
 
-|  |  |
-| :--- | :--- |
-| [`Series.drop_duplicates`](series.drop_duplicates.md) | Return Series with duplicate values removed. |
-| [`Series.head`](series.head.md) | Return the first n rows. |
-| [`Series.reset_index`](series.reset_index.md) | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md) | Return a random sample of items from an axis of object. |
-| [`Series.tail`](series.tail.md) | Return the last n rows. |
+|                                                       |                                                          |
+| ----------------------------------------------------- | -------------------------------------------------------- |
+| [`Series.drop_duplicates`](series.drop_duplicates.md) | Return Series with duplicate values removed.             |
+| [`Series.head`](series.head.md)                       | Return the first n rows.                                 |
+| [`Series.reset_index`](series.reset_index.md)         | Generate a new DataFrame or Series with the index reset. |
+| [`Series.sample`](series.sample.md)                   | Return a random sample of items from an axis of object.  |
+| [`Series.tail`](series.tail.md)                       | Return the last n rows.                                  |
 
 ### Missing data handling
 
-|  |  |
-| :--- | :--- |
-| [`Series.dropna`](series.dropna.md) | Return a new Series with missing values removed. |
-| [`Series.fillna`](series.fillna.md) | Fill NaN values using the specified method. |
-| [`Series.isna`](series.isna.md) | Detect missing values. |
-| [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value. |
+|                                       |                                                  |
+| ------------------------------------- | ------------------------------------------------ |
+| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
+| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
+| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
+| [`Series.replace`](series.replace.md) | Replace values given in to_replace with value.   |
 
 ### Reshaping, sorting
 
-| [`Series.argsort`](series.argsort.md) | Return the integer indices that would sort the Series values. |
-| :--- | :--- |
-| [`Series.argmin`](series.argmin.md) | Return int position of the smallest value in the Series. |
-| [`Series.argmax`](series.argmax.md) | Return int position of the largest value in the Series. |
-| [`Series.sort_values`](series.sort_values.md) | Sort by the values. |
+| [`Series.argsort`](series.argsort.md)         | Return the integer indices that would sort the Series values. |
+| --------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.argmin`](series.argmin.md)           | Return int position of the smallest value in the Series.      |
+| [`Series.argmax`](series.argmax.md)           | Return int position of the largest value in the Series.       |
+| [`Series.sort_values`](series.sort_values.md) | Sort by the values.                                           |
 
 ### Accessors
 
 Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
 
 | Data Type | Accessor |
-| :--- | :--- |
-| Datetime | dt |
-| String | str |
+| --------- | -------- |
+| Datetime  | dt       |
+| String    | str      |
 
 #### Datetimelike properties
 
@@ -122,63 +121,62 @@ Danfo provides dtype-specific methods under various accessors. These are separat
 
 **Datetime methods**
 
-|  |  |
-| :--- | :--- |
-| [`Series.dt.year`](series.dt.year.md) | The year of the datetime. |
-| [`Series.dt.month`](series.dt.month.md) | The month as January=1, December=12. |
-| [`Series.dt.day`](series.dt.day.md) | The day of the datetime. |
-| [`Series.dt.hour`](series.dt.hour.md) | The hours of the datetime. |
-| [`Series.dt.minute`](series.dt.minute.md) | The minutes of the datetime. |
-| [`Series.dt.second`](series.dt.second.md) | The seconds of the datetime. |
-| [`Series.dt.weekdays`](series.dt.weekdays.md) | The day of the week with Monday=0, Sunday=6. |
+|                                                   |                                                                    |
+| ------------------------------------------------- | ------------------------------------------------------------------ |
+| [`Series.dt.year`](series.dt.year.md)             | The year of the datetime.                                          |
+| [`Series.dt.month`](series.dt.month.md)           | The month as January=1, December=12.                               |
+| [`Series.dt.day`](series.dt.day.md)               | The day of the datetime.                                           |
+| [`Series.dt.hour`](series.dt.hour.md)             | The hours of the datetime.                                         |
+| [`Series.dt.minute`](series.dt.minute.md)         | The minutes of the datetime.                                       |
+| [`Series.dt.second`](series.dt.second.md)         | The seconds of the datetime.                                       |
+| [`Series.dt.weekdays`](series.dt.weekdays.md)     | The day of the week with Monday=0, Sunday=6.                       |
 | [`Series.dt.month_name`](series.dt.month_name.md) | Return the month names of the DateTimeIndex with specified locale. |
 
 #### String handling
 
 `Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
 
-| [`Series.str.capitalize`](series.str.capitalize.md) | Capitalize the first character of each string |
-| :--- | :--- |
-| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase. |
-| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase. |
-| [`Series.str.charAt`](series.str.charat.md) | Returns the character at the specified index \(position\). |
-| [`Series.str.concat`](series.str.concat.md) | Joins two or more strings/arrays. |
-| [`Series.str.startsWith`](series.str.startswith.md) | Checks whether a string begins with specified characters. |
-| [`Series.str.endsWith`](series.str.endswith.md) | Checks whether a string ends with specified characters |
-| [`Series.str.includes`](series.str.includes.md) | Checks whether a string contains the specified string/characters. |
-| [`Series.str.indexOf`](series.str.indexof.md) | Returns the position of the first found occurrence of a specified value in a string. |
-| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string. |
-| [`Series.str.repeat`](series.str.repeat.md) | Returns a new string with a specified number of copies of an existing string. |
-| [`Series.str.search`](series.str.search.md) | Searches a string for a specified value, or regular expression, and returns the position of the match. |
-| [`Series.str.slice`](series.str.slice.md) | Extracts a part of a string and returns a new string. |
-| [`Series.str.split`](series.str.split.md) | Splits a string into an array of substrings. |
-| [`Series.str.substr`](series.str.substr.md) | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
-| [`Series.str.substring`](series.str.substring.md) | Extracts the characters from a string, between two specified indices. |
-| [`Series.str.len`](series.str.len.md) | Counts the number of characters in each string. |
-| [`Series.str.trim`](series.str.trim.md) | Removes whitespace from both ends of a string. |
-| [`Series.str.join`](series.str.join.md) | Joins strings to specified value. |
-| [`Series.str.replace`](series.str.replace.md) | Replace each occurrence of pattern/regex in the Series/Index. |
+| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
+| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
+| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
+| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
+| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
+| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
+| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
+| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
+| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
+| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
+| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
+| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
+| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
+| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
+| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
+| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
+| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
+| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
+| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
+| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
 
 ### Plotting
 
 `Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
 
-|  |  |
-| :--- | :--- |
-| [`Series.plot.bar`](../plotting/bar-charts.md) | Vertical bar plot. |
-| [`Series.plot.box`](../plotting/box-plots.md) | Make a box plot of the DataFrame columns. |
-| [`Series.plot.violin`](../plotting/box-plots.md) | Make a violin plot of the DataFrame columns. |
-| [`Series.plot.hist`](../plotting/histograms.md) | Draw one histogram of the DataFrame’s columns. |
+|                                                       |                                                               |
+| ----------------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
+| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
 | [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`Series.plot.line`](../plotting/line-charts.md) | Plot Series or DataFrame as lines. |
-| [`Series.plot.pie`](../plotting/pie-charts.md) | Generate a pie plot. |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots |
-| [`Table`](../plotting/tables.md) | Display Series as Interactive table in Div |
+| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
 
 ### Serialization / IO / conversion
 
-|  |  |
-| :--- | :--- |
-| [`Series.to_csv`](../dataframe/dataframe.to_csv.md) | Write object to a comma-separated values \(csv\) file. |
-| [`Series.to_json`](../dataframe/dataframe.to_json.md) | Convert the object to a JSON string. |
-
+|                                                       |                                                      |
+| ----------------------------------------------------- | ---------------------------------------------------- |
+| [`Series.to_csv`](../dataframe/dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`Series.to_json`](../dataframe/dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index db9a8b4..3c9f46a 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,11 +4,13 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)\]
+> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
 
-**Parameters**: None
+| Parameters | Type   | Description                                                                                          | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 **Example**
 
@@ -27,7 +29,7 @@ sf.abs().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -48,4 +50,3 @@ sf.abs().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.add.md b/api-reference/series/series.add.md
index edde21c..e55b1b8 100644
--- a/api-reference/series/series.add.md
+++ b/api-reference/series/series.add.md
@@ -1,14 +1,15 @@
 ---
-description: 'Return Addition of series and other, element-wise (binary operator add).'
+description: Return Addition of series and other, element-wise (binary operator add).
 ---
 
 # Series.add
 
-> danfo.Series.add\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)\]
+> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -32,7 +33,7 @@ sf1.add(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -65,7 +66,7 @@ sf1.add(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -83,5 +84,3 @@ sf1.add(2).print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.append.md b/api-reference/series/series.append.md
index c2e69a8..9c84620 100644
--- a/api-reference/series/series.append.md
+++ b/api-reference/series/series.append.md
@@ -4,50 +4,19 @@ description: Add a new value or values to the end of a Series.
 
 # Series.append
 
-danfo.Series.**append**\(newValue, index, options\) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">newValue</td>
-      <td style="text-align:left">Array, Series</td>
-      <td style="text-align:left">Object to append</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">index</td>
-      <td style="text-align:left">Array</td>
-      <td style="text-align:left">The new index value(s) to append to the Series. Must contain the same
-        number of values as <code>newValues</code> as they map <code>1 - 1</code>.</td>
-      <td
-      style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>{
-          <br /><b>inplace</b>: Whether to perform operation in-place or not.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left">false</td>
-    </tr>
-  </tbody>
-</table>
+danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
+
+| Parameters | Type          | Description                                                                                                                | Default |
+| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
+| newValue   | Array, Series | Object to append                                                                                                           |         |
+| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
+| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
-\*\*\*\*
+****
 
 ### **Append new Series to the end of a Series**
 
@@ -67,7 +36,7 @@ new_sf.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔════╤═══╗
 ║ f1 │ 1 ║
 ╟────┼───╢
@@ -104,7 +73,7 @@ sf1.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔════╤═══╗
 ║ f1 │ 1 ║
 ╟────┼───╢
@@ -138,14 +107,13 @@ new_sf.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔════╤═══╗
 ║ f1 │ 1 ║
 ╟────┼───╢
@@ -165,4 +133,3 @@ new_sf.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.apply.md b/api-reference/series/series.apply.md
index f32717f..d5feb72 100644
--- a/api-reference/series/series.apply.md
+++ b/api-reference/series/series.apply.md
@@ -1,20 +1,21 @@
 ---
-description: invoke a function on Series Value
+description: Invoke a function on each value in a Series.
 ---
 
 # Series.apply
 
-> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function | Function \(can be anonymous\) to apply |  |
+| Parameters | Type     | Description                                                                                    | Default                               |
+| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
+| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
-\*\*\*\*
+****
 
 **Example**
 
@@ -34,14 +35,13 @@ sf.apply(apply_func).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -78,14 +78,13 @@ sf.apply(Math.log).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -124,14 +123,13 @@ sf.apply((x)=>{
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -149,5 +147,3 @@ sf.apply((x)=>{
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 29c19e3..443935e 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -4,13 +4,13 @@ description: Return the integer indices that would sort the Series values
 
 # Series.argsort
 
-> danfo.Series.**argsort**\(ascending\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\)\]
+> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| ascending | boolean | How to sort the indices. either **True** or **False** | true |
+| Parameters | Type   | Description                            | Default                                               |
+| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
+| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
 
-**Returns:**  Series \(int element\)
+**Returns: ** Series (int element)
 
 **Example**
 
@@ -22,14 +22,16 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print()
+sf.argsort().print() //defaults to ascending order
+sf.argsort({ ascending: false }).print()
+
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,7 +51,25 @@ sf.argsort().print()
 ╟───┼──────────────────────╢
 ║ 7 │ 1                    ║
 ╚═══╧══════════════════════╝
+
+//sorted in descending order
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 6 ║
+╟───┼───╢
+║ 2 │ 4 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.copy.md b/api-reference/series/series.copy.md
index 323fb47..9bbdb47 100644
--- a/api-reference/series/series.copy.md
+++ b/api-reference/series/series.copy.md
@@ -1,10 +1,10 @@
 ---
-description: Make a new copy of a Series
+description: Makes a deep copy of a Series
 ---
 
 # Series.copy
 
-> danfo.Series.copy\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)\]
+> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
 
 **parameter:** 
 
@@ -28,7 +28,7 @@ sf2.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -43,4 +43,3 @@ sf2.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.count.md b/api-reference/series/series.count.md
index 222ef23..832c794 100644
--- a/api-reference/series/series.count.md
+++ b/api-reference/series/series.count.md
@@ -4,7 +4,7 @@ description: Obtain the total number of values in a series
 
 # Series.count
 
-> danfo.Series.count\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)\]
+> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.count())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 9
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 201ae11..8aded1a 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -4,11 +4,11 @@ description: Returns cumulative maximum over a series
 
 # Series.cummax
 
-> danfo.Series.**cummax**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L825)\]
+> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
 
-**Parameters:** None
-
-**Return**: Series
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -28,7 +28,7 @@ sf1.cummax().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf1.cummax().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index f2337a8..736cee5 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -4,11 +4,11 @@ description: Returns the cumulative min of a Series
 
 # Series.cummin
 
-> danfo.Series.**cummin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L816)\]
+> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
 
-**Parameters:** None
-
-**Return**: Series
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -28,7 +28,7 @@ sf1.cummin().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf1.cummin().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 6b72547..84ec0e7 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -4,11 +4,11 @@ description: Return the cumulative product of a series
 
 # Series.cumprod
 
-> danfo.Series.**cumprod**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L834)\]
+> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
 
-**Parameters:** None
-
-**Return**: Series
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -28,7 +28,7 @@ sf1.cumprod().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf1.cumprod().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index 205d777..7b7a19a 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -4,11 +4,11 @@ description: Return a cumulative sum of a series
 
 # Series.cumsum
 
-> danfo.Series.**cumsum**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L807)\]
+> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
 
-**Parameters:** None
-
-**Return**: Series
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -53,7 +53,7 @@ sf1.cumsum().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,4 +72,3 @@ sf1.cumsum().print()
 ║ 6 │ 189                  ║
 ╚═══╧══════════════════════╝
 ```
-
diff --git a/api-reference/series/series.describe.md b/api-reference/series/series.describe.md
index 020cbb1..f532bac 100644
--- a/api-reference/series/series.describe.md
+++ b/api-reference/series/series.describe.md
@@ -7,9 +7,9 @@ description: >-
 
 # Series.describe
 
-> danfo.Series.describe\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)\]
+> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
 
-**Parameters:** No parameter
+**Parameters: **No parameter
 
 **return:** Series
 
@@ -28,14 +28,13 @@ sf.describe().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔══════════╤══════════════════════╗
 ║          │ 0                    ║
 ╟──────────┼──────────────────────╢
@@ -56,4 +55,3 @@ sf.describe().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.div.md b/api-reference/series/series.div.md
index 4dd4fd0..656a796 100644
--- a/api-reference/series/series.div.md
+++ b/api-reference/series/series.div.md
@@ -6,12 +6,12 @@ description: >-
 
 # Series.div
 
-> danfo.Series.div\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)\]
+> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
-| round | bool | specify if to round off the floating number | true |
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -35,7 +35,7 @@ sf1.div(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -51,7 +51,7 @@ sf1.div(sf2).print()
 {% endtab %}
 {% endtabs %}
 
-divide with a value
+### divide with a value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -68,7 +68,7 @@ sf1.div(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -85,4 +85,3 @@ sf1.div(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index d5fd7e2..c169043 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -2,20 +2,19 @@
 description: Remove duplicate rows
 ---
 
-# Series.drop\_duplicates
+# Series.drop_duplicates
 
-> danfo.Series.**drop\_duplicates**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)\]
+> danfo.Series.**drop_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-| kwargs\["**keep**"\] | String | {"**first**"or "**last**"}. Specify if to keep the last or the first duplicate value  | first |
+| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
+| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 **Examples**
 
-Drop duplicate by keeping the first value of the duplicate value
+### Drop duplicate by keeping the first occurrence of the duplicate value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -33,7 +32,7 @@ sf_drop.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -51,7 +50,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Drop duplicate and keep only the last duplicated value
+### Drop duplicate and keep only the last duplicated value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -69,7 +68,7 @@ sf_drop.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -87,7 +86,7 @@ sf_drop.print()
 {% endtab %}
 {% endtabs %}
 
-Remove duplicate value in series without returning a new series
+### Remove duplicate value in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -105,7 +104,7 @@ sf.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -120,4 +119,3 @@ sf.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 6fa1100..2fab716 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -4,17 +4,17 @@ description: Remove missing values from Series
 
 # Series.dropna
 
-> danfo.Series.**dropna**\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)\]
+> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
+| Parameters | Type   | Description                                                                                    | Default                             |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
 
 **Returns**: Series
 
 **Examples**
 
-Drop all nan value and then return New Series.
+### Drop all nan value and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,7 +32,7 @@ sf_rep.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -52,7 +52,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Drop nan values without returning new series
+### Drop nan values in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -70,7 +70,7 @@ sf.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -89,4 +89,3 @@ sf.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 09334c1..d3722c4 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -4,11 +4,11 @@ description: Obtain the numerical representation of the week day.
 
 # Series.dt.day
 
-> danfo.Series.dt.**day**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)\]
+> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
 
 **Parameters**: None
 
-**Returns:** Series \(int elements\)
+**Returns: **Series (int elements)
 
 **Examples**
 
@@ -17,7 +17,7 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
 let sf = new dfd.Series(data)
 
 sf.dt.day().print()
@@ -26,32 +26,30 @@ sf.dt.day().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 0                    ║
-╚═══╧══════════════════════╝
 ```
-
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
+```
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 1243049..9656aff 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -4,11 +4,11 @@ description: Obtain the hours in a time series
 
 # Series.dt.hour
 
-> danfo.Series.dt.**hour**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)\]
+> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
 
-**Parameters:** None
+**Parameters: **None
 
-**Returns:** Series \(int elements\)
+**Returns: **Series (int elements)
 
 **Examples**
 
@@ -22,37 +22,31 @@ let sf = new dfd.Series(data)
 // print series
 sf.print()
 // print hour series
-sf.dt.hour().print()
+sf.dt.hours().print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 2:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print hour series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╚═══╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.minute.md b/api-reference/series/series.dt.minute.md
index 4fec5c6..97baa73 100644
--- a/api-reference/series/series.dt.minute.md
+++ b/api-reference/series/series.dt.minute.md
@@ -4,11 +4,11 @@ description: Obtain the minutes in a Time Series
 
 # Series.dt.minutes
 
-> danfo.Series.dt.**minutes**\(\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)\]
+> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
 
 **Parameters**: None
 
-**Returns:** Series \(int Elements\)
+**Returns: **Series (int Elements)
 
 **Example**
 
@@ -28,14 +28,13 @@ sf.dt.minutes().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -59,4 +58,3 @@ sf.dt.minutes().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index 0e6dedb..09841bc 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -4,11 +4,11 @@ description: Obtain the month in a date time series
 
 # Series.dt.month
 
-> danfo.Series.dt.**month**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)\]
+> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
 
 **Parameters**: None
 
-**Returns:** Series \(int elements\)
+**Returns: **Series (int elements)
 
 **Examples**
 
@@ -26,26 +26,22 @@ sf.dt.month().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 7                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╟───┼──────────────────────╢
-║ 4 │ 11                   ║
-╟───┼──────────────────────╢
-║ 5 │ 11                   ║
-╚═══╧══════════════════════╝
 ```
-
+╔═══╤════╗
+║ 0 │ 6  ║
+╟───┼────╢
+║ 1 │ 7  ║
+╟───┼────╢
+║ 2 │ 9  ║
+╟───┼────╢
+║ 3 │ 9  ║
+╟───┼────╢
+║ 4 │ 11 ║
+╟───┼────╢
+║ 5 │ 11 ║
+╚═══╧════╝
+```
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index 82a7d3c..2deb259 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -2,13 +2,13 @@
 description: obtain the month name in a Time Series
 ---
 
-# Series.dt.month\_name
+# Series.dt.month_name
 
-> danfo.Series.dt.month\_name\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)\]
+> danfo.Series.dt.month_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
 
 **Parameters**: None
 
-**Returns:** Series \(String elements\)
+**Returns: **Series (String elements)
 
 **Examples**
 
@@ -28,17 +28,14 @@ sf.dt.month_name().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2018, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 2/1/2018, 1:00:00 AM ║
@@ -46,17 +43,13 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print month name series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ Jan ║
+╟───┼─────╢
+║ 1 │ Feb ║
+╟───┼─────╢
+║ 2 │ Mar ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index 1c7e556..70026a5 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -4,11 +4,11 @@ description: Obtain the day of the month
 
 # Series.dt.monthday
 
-> danfo.Series.dt.**monthday**\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)\]
+> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
 
-**Parameters:** None
+**Parameters: **None
 
-**Returns**: Series \(Int elements\)
+**Returns**: Series (Int elements)
 
 **Examples**
 
@@ -28,17 +28,14 @@ sf.dt.monthday().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/2/2000, 1:00:00 AM ║
@@ -46,17 +43,13 @@ sf.dt.monthday().print()
 ║ 2 │ 1/3/2000, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print monthdays
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index e6fd771..68d63b3 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -4,11 +4,11 @@ description: Obtain the seconds in Date series
 
 # Series.dt.seconds
 
-> danfo.Series.dt.**seconds**\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)\]
+> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
 
 **Parameters**: None
 
-**Returns:** Series \(Int elements\)
+**Returns: **Series (Int elements)
 
 **Example**
 
@@ -25,24 +25,21 @@ let sf = new dfd.Series(data)
 sf.print()
 
 //print the seconds obtained
-sf.seconds().print()
+sf.dt.seconds().print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2000, 1:00:01 AM ║
@@ -50,18 +47,14 @@ sf.seconds().print()
 ║ 2 │ 1/1/2000, 1:00:02 AM ║
 ╚═══╧══════════════════════╝
 
-//the seconds obtained
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╚═══╧═══╝
 
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index dc79e6c..101bd50 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -4,11 +4,11 @@ description: Obtain the days of the weeks
 
 # Series.dt.weekdays
 
-> danfo.Series.dt.**weekdays**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)\]
+> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
 
 **Parameters**: None
 
-**Returns:** Series \(String elements\)
+**Returns: **Series (String elements)
 
 **Examples**
 
@@ -28,55 +28,52 @@ sf.dt.weekdays().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12/31/2016, 1:00:... ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-//print days of the week
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 1 │ Sun                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 3 │ Tue                  ║
-╟───┼──────────────────────╢
-║ 4 │ Wed                  ║
-╟───┼──────────────────────╢
-║ 5 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 6 │ Fri                  ║
-╟───┼──────────────────────╢
-║ 7 │ Sat                  ║
-╟───┼──────────────────────╢
-║ 8 │ Sun                  ║
-╚═══╧══════════════════════╝
 ```
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
 
+╔═══╤══════╗
+║ 0 │ Sat  ║
+╟───┼──────╢
+║ 1 │ Sun  ║
+╟───┼──────╢
+║ 2 │ Mon  ║
+╟───┼──────╢
+║ 3 │ Tue  ║
+╟───┼──────╢
+║ 4 │ Wed  ║
+╟───┼──────╢
+║ 5 │ Thur ║
+╟───┼──────╢
+║ 6 │ Fri  ║
+╟───┼──────╢
+║ 7 │ Sat  ║
+╟───┼──────╢
+║ 8 │ Sun  ║
+╟───┼──────╢
+║ 9 │ Mon  ║
+╚═══╧══════╝
+```
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index a594255..db495d9 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -4,11 +4,11 @@ description: Obtain the year in a date time series
 
 # Series.dt.year
 
-> danfo.Series.dt.**year**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)\]
+> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
 
 **Parameters**: None
 
-**Returns:** Series \(int elements\)
+**Returns: **Series (int elements)
 
 **Examples**
 
@@ -25,11 +25,9 @@ sf.dt.year().print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //print date time series
 ╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
 ║ 1 │ 1/1/2001, 1:00:00 AM ║
@@ -37,15 +35,11 @@ sf.dt.year().print()
 ║ 2 │ 1/1/2002, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-//print the year series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 1 │ 2001                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2002                 ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ 2000 ║
+╟───┼──────╢
+║ 1 │ 2001 ║
+╟───┼──────╢
+║ 2 │ 2002 ║
+╚═══╧══════╝
 ```
-
diff --git a/api-reference/series/series.dtype.md b/api-reference/series/series.dtype.md
index b59170e..c4634cb 100644
--- a/api-reference/series/series.dtype.md
+++ b/api-reference/series/series.dtype.md
@@ -4,11 +4,11 @@ description: Obtain the dtype of a series
 
 # Series.dtype
 
-> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)\]
+> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
 
 **Parameters**: None
 
-**Returns:** String
+**Returns: **String
 
 **Example**
 
@@ -27,9 +27,8 @@ console.log(sf1.dtype)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 float32
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 341dbb9..43a3ece 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -4,13 +4,13 @@ description: Check all the values in a series is equal to another value
 
 # Series.eq
 
-> danfo.Series.eq\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)\]
+> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
 
-**Returns**: Series \(Boolean element\)
+**Returns**: Series (Boolean element)
 
 **Examples**
 
@@ -33,7 +33,7 @@ sf1.eq(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.eq(10).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -93,4 +93,3 @@ sf1.eq(10).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index b1bea1b..a1db3a8 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -4,18 +4,15 @@ description: Replace all NaN value with specified value
 
 # Series.fillna
 
-> danfo.Series.**fillna**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)\]
+> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**value**"\] | int \| String\| bool | value to replace the NaN values |  |
-| kwargs\["**inplace**"\] | bool | return a new series or not.  | false |
-
-**Returns:**  Series
+| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Examples**
 
-Fill nan value and then return new series
+### Fill nan value and then return new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -34,7 +31,7 @@ sf_rep.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -62,7 +59,7 @@ sf_rep.print()
 {% endtab %}
 {% endtabs %}
 
-Fill nan value without returning new Series
+### Fill nan value in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -80,7 +77,7 @@ sf.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -107,4 +104,3 @@ sf.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index b3d8b69..ec83ef9 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -4,13 +4,13 @@ description: Check if all the values in a series is greater than or equal a valu
 
 # Series.ge
 
-> danfo.Series.ge\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)\]
+> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
 
-**Returns:** Series \(Boolean element\)
+**Returns: **Series (Boolean element)
 
 **Example**
 
@@ -33,7 +33,7 @@ sf1.ge(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.ge(20).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -93,4 +93,3 @@ sf1.ge(20).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index a98f618..184ca28 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -4,13 +4,13 @@ description: Check if all the value in a series is greater than a value
 
 # Series.gt
 
-> danfo.Series.gt\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)\]
+> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
 
-**Returns**: Series \(boolean element\)
+**Returns**: Series (boolean element)
 
 **Example**
 
@@ -31,7 +31,7 @@ sf1.gt(20).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.gt(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -93,4 +93,3 @@ sf1.gt(sf2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index e580803..ab578cf 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -1,26 +1,27 @@
 # Series.iloc
 
-danfo.Series.**iloc**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)\]
+danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Array | Array, slice or index of row position to return |  |
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
 
 **Returns:**
 
-       ****return **Series**
+**       **return** Series**
 
 ## **Examples**
 
-`.iloc()` is primarily integer position based \(from `0` to `length-1` of the axis\).
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
 
 Allowed inputs are:
 
 * An integer, e.g. `5`.
 * A list or array of integers, e.g. `[4, 3, 0]`.
+* A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only ****the start label is included._
+_**Note: **only** **the start label is included, and the end label is ignored. _
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -30,7 +31,6 @@ _**Note:** only ****the start label is included._
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-// const tf = require("@tensorflow/tfjs-node")
 
 
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
@@ -41,14 +41,13 @@ s.iloc([0,5]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -62,7 +61,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end\], e.g "\[1: 4\]". This will return all values between index position 1 and 3. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4. 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -76,14 +75,13 @@ s.iloc(["0:5"]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -115,14 +113,13 @@ s.iloc(["5:"]).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -136,5 +133,26 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
+### Slice Series by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
 
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
 
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index e9056d7..4571b72 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -4,13 +4,13 @@ description: Check if all the values in a series is less than or equal to a valu
 
 # Series.le
 
-> danfo.Series.le\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)\]
+> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
 
-**Returns:** Series \(Boolean Element\)
+**Returns: **Series (Boolean Element)
 
 **Example**
 
@@ -31,7 +31,7 @@ sf1.le(20).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.le(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -94,5 +94,3 @@ sf1.le(sf2).print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index bb18486..7af18bc 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -4,13 +4,13 @@ description: Check if all values in a Series are less than a value.
 
 # Series.lt
 
-> danfo.Series.lt\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)\]
+> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|float | value\(s\) to compare |  |
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
 
-**Returns**: Series \(boolean element\)
+**Returns**: Series (boolean element)
 
 **Example**
 
@@ -31,7 +31,7 @@ sf1.lt(20).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.lt(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -94,4 +94,3 @@ sf1.lt(sf2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.map.md b/api-reference/series/series.map.md
index 1071a1f..0e0850a 100644
--- a/api-reference/series/series.map.md
+++ b/api-reference/series/series.map.md
@@ -1,25 +1,26 @@
 ---
-description: Map the value of a series to it representation
+description: Map the value of a series to a function or Object
 ---
 
 # Series.map
 
-> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
+> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
 
-| Parameter | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function or Object | callable can either be a function or an object\({}\) |  |
+| Parameter | Type               | Description                                                                                    | Default                               |
+| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable  | Function or Object | A function or object({})                                                                       |                                       |
+| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Example**
 
-Mapping the element in a Series to a word
+Mapping the element in a Series  words in an Object
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let sf = new dfd.Series([1,2,3,4])
+let sf = new dfd.Series([1, 2, 3, 4])
 let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
 sf.map(map).print()
 
@@ -28,14 +29,13 @@ sf.map(map).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -69,14 +69,13 @@ sf.map((x)=>{
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -91,4 +90,3 @@ sf.map((x)=>{
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.max.md b/api-reference/series/series.max.md
index 34195a2..4f7193a 100644
--- a/api-reference/series/series.max.md
+++ b/api-reference/series/series.max.md
@@ -4,7 +4,7 @@ description: Obtain the maximum value in a Series
 
 # Series.max
 
-> danfo.Series.max\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)\]
+> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.max())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 89
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.mean.md b/api-reference/series/series.mean.md
index ace7e71..17d97e6 100644
--- a/api-reference/series/series.mean.md
+++ b/api-reference/series/series.mean.md
@@ -4,7 +4,7 @@ description: Obtain the mean of a series
 
 # Series.mean
 
-> danfo.Series.mean\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)\]
+> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.mean())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 23.000001907348633
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.median.md b/api-reference/series/series.median.md
index 280a565..d1cde75 100644
--- a/api-reference/series/series.median.md
+++ b/api-reference/series/series.median.md
@@ -4,7 +4,7 @@ description: Obtain the median of a series
 
 # Series.median
 
-> danfo.Series.median\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)\]
+> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.median())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 4
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.min.md b/api-reference/series/series.min.md
index 3f57bd1..6e11a67 100644
--- a/api-reference/series/series.min.md
+++ b/api-reference/series/series.min.md
@@ -4,7 +4,7 @@ description: Obtain the minimum value in a series
 
 # Series.min
 
-> danfo.Series.min\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)\]
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.min())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 0
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.mod.md b/api-reference/series/series.mod.md
index 59a0320..fdf0555 100644
--- a/api-reference/series/series.mod.md
+++ b/api-reference/series/series.mod.md
@@ -1,14 +1,15 @@
 ---
-description: 'Return Modulo of series and other, element-wise (binary operator mod).'
+description: Return Modulo of series and other, element-wise (binary operator mod).
 ---
 
 # Series.mod
 
-> danfo.Series.mod\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)\]
+> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\|float | values  |  |
+| Parameters | Type               | Description                                                                                    | Default                               |
+| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\|float | values                                                                                         |                                       |
+| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -32,7 +33,7 @@ sf1.mod(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -65,7 +66,7 @@ sf1.mod(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -82,4 +83,3 @@ sf1.mod(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.mode.md b/api-reference/series/series.mode.md
index 5c93091..6077686 100644
--- a/api-reference/series/series.mode.md
+++ b/api-reference/series/series.mode.md
@@ -4,7 +4,7 @@ description: Obtain the center value in a series
 
 # Series.mode
 
-> danfo.Series.min\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)\]
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.mode())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [ 4 ]
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.mul.md b/api-reference/series/series.mul.md
index 855173b..d5d33de 100644
--- a/api-reference/series/series.mul.md
+++ b/api-reference/series/series.mul.md
@@ -1,14 +1,15 @@
 ---
-description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
+description: Return Multiplication of series and other, element-wise (binary operator mul).
 ---
 
 # Series.mul
 
-> danfo.Series.mul\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)\]
+> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -32,7 +33,7 @@ sf1.mul(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -65,7 +66,7 @@ sf1.mul(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -83,5 +84,3 @@ sf1.mul(2).print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.ndim.md b/api-reference/series/series.ndim.md
index f7f466e..8258e46 100644
--- a/api-reference/series/series.ndim.md
+++ b/api-reference/series/series.ndim.md
@@ -4,11 +4,11 @@ description: Obtain the dimension of a series
 
 # Series.ndim
 
-> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)\]
+> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
 
-**Parameters:** None
+**Parameters: **None
 
-**Returns:** int
+**Returns: **int
 
 **Example**
 
@@ -27,9 +27,8 @@ console.log(sf1.ndim)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 1
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index 9901dcd..16cf1dc 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -4,13 +4,13 @@ description: Check if all values in a  series is not equal to a value(s)
 
 # Series.ne
 
-> danfo.Series.ne\(other\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)\]
+> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series**\|** int\|String\|float |  value to compare |  |
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
 
-**Returns**: Series \(Boolean element\)
+**Returns**: Series (Boolean element)
 
 **Example**
 
@@ -33,7 +33,7 @@ sf1.ne(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -72,7 +72,7 @@ sf1.ne(10).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -93,4 +93,3 @@ sf1.ne(10).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 8ddafe4..1adfe98 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -1,14 +1,14 @@
 ---
-description: Obtain the number of unique values in a series
+description: Returns the number of unique values in a series
 ---
 
 # Series.nunique
 
-> danfo.Series.**nunique**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)\]
+> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
 
 **Parameters**: None
 
-**Returns:** int
+**Returns: **int
 
 **Example**
 
@@ -27,9 +27,8 @@ console.log(sf.nunique())
 
 {% tabs %}
 {% tab title="Ouptut" %}
-```text
+```
 9
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.pow.md b/api-reference/series/series.pow.md
index 6a67b3b..2fbe542 100644
--- a/api-reference/series/series.pow.md
+++ b/api-reference/series/series.pow.md
@@ -6,11 +6,12 @@ description: >-
 
 # Series.pow
 
-> danfo.Series.pow\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)\]
+> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -34,7 +35,7 @@ sf1.pow(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -67,7 +68,7 @@ sf1.pow(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -84,4 +85,3 @@ sf1.pow(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index 4b49fa2..8a1f48b 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,19 +4,17 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**\(kwargs\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)\]
+> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["**replace**"\] | int \| String\| bool | value to be replaced |  |
-| kwargs\["**with**"\] | int \| String \| bool | value to replace the previous value |  |
-| kwargs\["**inplace**"\] | Bool | mutate the series or create the new series | false |
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Returns**: Series
 
 **Examples**
 
-Replace a value in a series and return a new series
+### Replace a value in a series and return a new series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -25,7 +23,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ replace: 10, with: -50 })
+let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
 
 sf_rep.print()
 ```
@@ -34,29 +32,28 @@ sf_rep.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
+```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-Replace a value in a series , with out returning a new series
+### Replace a value in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -65,30 +62,28 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ replace: 10, with: -50, inplace:true })
+sf.replace({ oldValue: 10, newValue: -50, inplace: true})
 
 sf.print()
 ```
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -50                  ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ -50                  ║
-╚═══╧══════════════════════╝
 ```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
 
+```
diff --git a/api-reference/series/series.reset_index.md b/api-reference/series/series.reset_index.md
index e03ea87..7ff93af 100644
--- a/api-reference/series/series.reset_index.md
+++ b/api-reference/series/series.reset_index.md
@@ -2,142 +2,112 @@
 description: Reset the index of a series.
 ---
 
-# Series.reset\_index
+# Series.reset_index
 
-> danfo.series.reset\_index\(kwargs\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
+> danfo.series.reset_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
 
-Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
+| Parameters | Type   | Description                                                                                         | Default          |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object |  **inplace: **Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object | kwargs is an object {} with key **inplace** with a boolean value. e.g {inplace: false} | inplace:false |
+**Returns : **Series
 
-**Returns :** Series
+`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
 
-**Example**
+### **Reset index to default values**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+let data = [20, 30, 40]
+let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
+sf.print()
 
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
-let sf_reset = sf_new.reset_index()
-sf_reset.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ {"alpha":"A","cou... ║
-╟───┼──────────────────────╢
-║ 1 │ {"alpha":"B","cou... ║
-╟───┼──────────────────────╢
-║ 2 │ {"alpha":"C","cou... ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
-
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
 let sf_reset = sf.reset_index()
 sf_reset.print()
-
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ a │ 20 ║
+╟───┼────╢
+║ b │ 30 ║
+╟───┼────╢
+║ c │ 40 ║
+╚═══╧════╝
+
+╔═══╤════╗
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 2 │ 40 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Reset index without returning a new Series
+### Reset index to new values in-place
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
+sf.print()
 
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-sf.reset_index({"inplace":true})
+sf.reset_index({ inplace: true })
 sf.print()
+
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╟───┼───╢
+║ f │ 6 ║
+╚═══╧═══╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 4 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 6 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.round.md b/api-reference/series/series.round.md
index 3dcc39f..7b7ed7c 100644
--- a/api-reference/series/series.round.md
+++ b/api-reference/series/series.round.md
@@ -4,13 +4,14 @@ description: round off floating values in series
 
 # Series.round
 
-> danfo.Series.round\(dp\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)\]
+> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| dp | int | decimal place to round off to |  |
+| Parameters | Type   | Description                                                                                    | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| dp         | int    | decimal place to round off to                                                                  |                                       |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 **Example**
 
@@ -29,7 +30,7 @@ sf1.round(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -45,5 +46,3 @@ sf1.round(2).print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.sample.md b/api-reference/series/series.sample.md
index 4ab195e..762e635 100644
--- a/api-reference/series/series.sample.md
+++ b/api-reference/series/series.sample.md
@@ -4,16 +4,16 @@ description: Return a random sample of items from an axis of object.
 
 # Series.sample
 
-> danfo.Series.sample\(num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)\]
+> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | Int | The number of rows to return. Defaults to -1, which shuffles and return all rows.  | -1 |
-| seed | int | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1 |
+| Parameters | Type   | Description                                                                                                                                  | Default                        |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
+| num        | Int    | The number of rows to return.                                                                                                                |                                |
+| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
 
 **Returns:**
 
-       ****return **{Promies} resolves to Series**
+**       **return** {Promies} resolves to Series**
 
 **Example**
 
@@ -33,20 +33,33 @@ load_data()
 {% tabs %}
 {% tab title="Output" %}
 ```javascript
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 7 │ 40                   ║
-╟───┼──────────────────────╢
-║ 6 │ 30                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 2 │ 3  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 0 │ 1  ║
+╟───┼────╢
+║ 7 │ 40 ║
+╟───┼────╢
+║ 6 │ 30 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
+### Specify a seed when sampling
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+    let sf1 = new dfd.Series(data1);
+    let sample = await sf1.sample(5, { seed: 2 })
+    sample.print()
+
+}
+load_data()
+
+```
diff --git a/api-reference/series/series.set_index.md b/api-reference/series/series.set_index.md
index 91adf23..0b9cad9 100644
--- a/api-reference/series/series.set_index.md
+++ b/api-reference/series/series.set_index.md
@@ -2,16 +2,16 @@
 description: Assign new Index to Series
 ---
 
-# Series.set\_index
+# Series.set_index
 
-> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)\]
+> danfo.series.**set_index(**options**) **\[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["index"\] | Array | index to replace the former index  |  |
-| kwargs\["inplace"\] | Boolean | return new series or not | false |
+| Parameter | Type   | Description                                                                                    | Default                               |
+| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| index     | Array  | new index values                                                                               |                                       |
+| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 **Example**
 
@@ -19,9 +19,10 @@ description: Assign new Index to Series
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
 let sf = new dfd.Series(data)
+sf.print()
+
 let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
 sf_new.print()
 ```
@@ -29,23 +30,28 @@ sf_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ one   │ {"alpha":"A","cou... ║
-╟───────┼──────────────────────╢
-║ two   │ {"alpha":"B","cou... ║
-╟───────┼──────────────────────╢
-║ three │ {"alpha":"C","cou... ║
-╚═══════╧══════════════════════╝
+```
+╔═══╤═════════════════════════╗
+║ 0 │ {"alpha":"A","count":1} ║
+╟───┼─────────────────────────╢
+║ 1 │ {"alpha":"B","count":2} ║
+╟───┼─────────────────────────╢
+║ 2 │ {"alpha":"C","count":3} ║
+╚═══╧═════════════════════════╝
+
+╔═══════╤═════════════════════════╗
+║ one   │ {"alpha":"A","count":1} ║
+╟───────┼─────────────────────────╢
+║ two   │ {"alpha":"B","count":2} ║
+╟───────┼─────────────────────────╢
+║ three │ {"alpha":"C","count":3} ║
+╚═══════╧═════════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -64,14 +70,13 @@ sf_new.print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -89,46 +94,43 @@ sf_new.print()
 {% endtab %}
 {% endtabs %}
 
-set index without creating a new series by using `inplace = true`
+### Set index in-place
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs")
 
-let data = [1,2,3,4,5,6]
+let data = [1, 2, 3, 4, 5, 6]
 let sf = new dfd.Series(data)
-sf.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
 sf.print()
 ```
 {% endtab %}
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ one   │ 1                    ║
-╟───────┼──────────────────────╢
-║ two   │ 2                    ║
-╟───────┼──────────────────────╢
-║ three │ 3                    ║
-╟───────┼──────────────────────╢
-║ four  │ 4                    ║
-╟───────┼──────────────────────╢
-║ five  │ 5                    ║
-╟───────┼──────────────────────╢
-║ six   │ 6                    ║
-╚═══════╧══════════════════════╝
+```
+╔═══════╤═══╗
+║ one   │ 1 ║
+╟───────┼───╢
+║ two   │ 2 ║
+╟───────┼───╢
+║ three │ 3 ║
+╟───────┼───╢
+║ four  │ 4 ║
+╟───────┼───╢
+║ five  │ 5 ║
+╟───────┼───╢
+║ six   │ 6 ║
+╚═══════╧═══╝
+
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.sort_values.md b/api-reference/series/series.sort_values.md
index 54966ac..5c7e5fa 100644
--- a/api-reference/series/series.sort_values.md
+++ b/api-reference/series/series.sort_values.md
@@ -1,21 +1,18 @@
 ---
-description: Sort a Series in ascending or descending order
+description: Sorts a Series in ascending or descending order
 ---
 
-# Series.sort\_values
+# Series.sort_values
 
-> danfo.Series.sort\_values\(kwargs\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)\]
+> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs\["inplace"\] | Boolean | return new series or not | false |
-| kwargs\["ascending"\] | Boolean | select if to sort by ascending or descending | true |
+| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
+| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
 
   **Return:** Series
 
-**Examples**
-
-Sort series values using the default settings
+### Sort values in a Series 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -33,33 +30,31 @@ sf2.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Sort series value without returning a new series
+### Sort Series in-place
 
 {% tabs %}
 {% tab title="Node" %}
@@ -68,7 +63,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
 let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "inplace": true })
+sf1.sort_values({ inplace: true })
 
 sf1.print()
 ```
@@ -77,33 +72,32 @@ sf1.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+
 ```
 {% endtab %}
 {% endtabs %}
 
-Sort series value in descending order
+Sort Series values in descending order
 
 {% tabs %}
 {% tab title="Node" %}
@@ -121,29 +115,26 @@ sf1.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 6 │ 89                   ║
-╟───┼──────────────────────╢
-║ 5 │ 57                   ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 8 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 7 │ 0                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 6 │ 89 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 7 │ 0  ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.capitalize.md b/api-reference/series/series.str.capitalize.md
index 5df261a..aea9e91 100644
--- a/api-reference/series/series.str.capitalize.md
+++ b/api-reference/series/series.str.capitalize.md
@@ -4,11 +4,13 @@ description: Capitalize the first character of each string
 
 # Series.str.capitalize
 
-> danfo.Series.str.**capitalize**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)\]
+> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
 
-**Parameters:** None
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns**:  Series \(String element\)
+**Returns**:  Series (String element)
 
 **Example**
 
@@ -27,14 +29,13 @@ sf.str.capitalize().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +50,3 @@ sf.str.capitalize().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.charat.md b/api-reference/series/series.str.charat.md
index 3df2bbc..931bb48 100644
--- a/api-reference/series/series.str.charat.md
+++ b/api-reference/series/series.str.charat.md
@@ -4,13 +4,14 @@ description: Obtain the character at the specified index (position)
 
 # Series.str.charAt
 
-> danfo.Series.str.**charAt**\(index\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)\]
+> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| index | int | the index at which to obtain the character | 0 |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| index      | int    | the index at which to obtain the character                      | 0                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns**:  Series \(Character element\)
+**Returns**:  Series (Character element)
 
 **Example**
 
@@ -29,14 +30,13 @@ sf.str.charAt(2).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -51,4 +51,3 @@ sf.str.charAt(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index 0a24597..2fa49d4 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -4,14 +4,15 @@ description: Joins two or more strings/arrays
 
 # Series.str.concat
 
-> danfo.Series.str.**concat**\(other, position\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)\]
+> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | string or Array | string or list of strings to add to each string element of the series | "" |
-| position | Int | The position to add the **other** \(string or array\) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1  |
+| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
+| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
+| position   | Int             | The position to add the **other **(string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
+| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:** Series \(String element\)
+**Returns: **Series (String element)
 
 **Examples**
 
@@ -31,14 +32,13 @@ sf.str.concat(data2,0).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -70,14 +70,13 @@ sf.str.concat(data2,1).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -109,14 +108,13 @@ sf.str.concat("pre",0).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -148,12 +146,11 @@ sf.str.concat("post",1).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -166,4 +163,3 @@ sf.str.concat("post",1).print()
 ║ 3 │ SwApCaSepost         ║
 ╚═══╧══════════════════════╝
 ```
-
diff --git a/api-reference/series/series.str.endswith.md b/api-reference/series/series.str.endswith.md
index 645294d..2fb44cc 100644
--- a/api-reference/series/series.str.endswith.md
+++ b/api-reference/series/series.str.endswith.md
@@ -4,13 +4,14 @@ description: Checks whether a string ends with specified characters
 
 # Series.str.endsWith
 
-> danfo.Series.str.**endsWith**\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)\]
+> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns**: Series \(Boolean element\)
+**Returns**: Series (Boolean element)
 
 **Example**
 
@@ -27,14 +28,13 @@ sf.str.endsWith("e").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf.str.endsWith("e").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.includes.md b/api-reference/series/series.str.includes.md
index c2cb4af..8918773 100644
--- a/api-reference/series/series.str.includes.md
+++ b/api-reference/series/series.str.includes.md
@@ -4,13 +4,14 @@ description: Checks whether a string contains the specified string/characters
 
 # Series.str.includes
 
-> danfo.Series.str.includes\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)\]
+> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns**: Series \(boolean element\)
+**Returns**: Series (boolean element)
 
 **Example**
 
@@ -27,14 +28,13 @@ sf.str.includes("C").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf.str.includes("C").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index a823d20..8328d8b 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -4,13 +4,14 @@ description: the position of the first found occurrence of a specified value in
 
 # Series.str.indexOf
 
-> danfo.Series.str.indexOf\(str\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)\]
+> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to obtain its index | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to obtain its index                                  | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 **Example**
 
@@ -27,14 +28,13 @@ sf.str.indexOf("C").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf.str.indexOf("C").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index 4c17295..386da02 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -4,16 +4,17 @@ description: Join a new string value to all string elements in a Series.
 
 # Series.str.join
 
-> danfo.Series.str.**join**\(valToJoin,joinChar\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)\]
+> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| valToJoin | String | the string value you want to  |  "" |
-| joinChar | String | The delimiter to specify the joining | " " |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| valToJoin  | String | the string value you want to                                    |  ""                                                    |
+| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns:**
 
-   ****return **Series**
+**   **return **Series**
 
 **Examples**
 
@@ -30,26 +31,22 @@ sf.str.join("new", "_").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part_new       ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city_new    ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentenc... ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe_new        ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════════════════════════╗
+║ 0 │ lower part_new         ║
+╟───┼────────────────────────╢
+║ 1 │ CAPITALS city_new      ║
+╟───┼────────────────────────╢
+║ 2 │ this is a sentence_new ║
+╟───┼────────────────────────╢
+║ 3 │ SwAp CaSe_new          ║
+╚═══╧════════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.lastindexof.md b/api-reference/series/series.str.lastindexof.md
index 130c50c..889a1f4 100644
--- a/api-reference/series/series.str.lastindexof.md
+++ b/api-reference/series/series.str.lastindexof.md
@@ -6,11 +6,12 @@ description: >-
 
 # Series.str.lastIndexOf
 
-danfo.Series.str.lastIndexOf\(str\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)\]
+danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the string to search for | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns**: Series
 
@@ -29,14 +30,13 @@ sf.str.lastIndexOf("r").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -52,5 +52,3 @@ sf.str.lastIndexOf("r").print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.str.len.md b/api-reference/series/series.str.len.md
index 60153e8..0ef06b2 100644
--- a/api-reference/series/series.str.len.md
+++ b/api-reference/series/series.str.len.md
@@ -4,24 +4,22 @@ description: Obtain the length of each string element in a Series
 
 # Series.str.len
 
-> danfo.Series.str.**len**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)\]
+> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
 
-**Parameters**: None
-
-**Returns:**
-
-      return Series
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Examples**
 
-Returns the length \(number of character\) of a string, and also return the length \(number of elements\) of Array
+Returns the length (number of character) of a string, and also return the length (number of elements) of Array
 
 {% tabs %}
 {% tab title="JavaScript" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = ["dog", 5,"cat",["fog","mug"],"animals"]
+let data = ["dog", 5,"cat","fog","mug","animals"]
 let sf = new dfd.Series(data)
 sf.str.len().print()
 ```
@@ -29,28 +27,26 @@ sf.str.len().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ NaN                  ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index e6c1f32..76f9073 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -4,13 +4,14 @@ description: Repeat the the character(s) in a string for a specified number of t
 
 # Series.str.repeat
 
-> danfo.Series.str.**repeat**\(num\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)\]
+> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| num | integer | the string to search for | 1 |
+| Parameters | Type    | Description                                                     | Default                                                |
+| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
+| num        | integer | the string to search for                                        | 1                                                      |
+| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:**  Series
+**Returns:  **Series
 
 **Example**
 
@@ -27,14 +28,13 @@ sf.str.repeat(4).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf.str.repeat(4).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index c96137c..da02575 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,14 +4,15 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace\(searchValue, replaceValue\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)\]
+> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]    
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| searchValue | string | the string to search for | "" |
-| replaceValue | String | string to replace the searched string | "" |
+| Parameters   | Type   | Description                                                     | Default                                                |
+| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
+| replaceValue | String | string to replace the searched string                           | ""                                                     |
+| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:** Series
+**Returns: **Series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -26,14 +27,13 @@ sf.str.replace("A", "XXX").print()
 
 {% tab title="Browse" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -48,4 +48,3 @@ sf.str.replace("A", "XXX").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 8824095..9dc48e0 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -4,17 +4,18 @@ description: Obtain the index position of a searched  character in a String
 
 # Series.str.search
 
-> danfo.Series.str.**search**\(str\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)\]
+> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
 
 
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | String | the string to search for | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | String | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns:**
 
-     ****return Series: Series of index position
+**     **return Series: Series of index position
 
 **Example**
 
@@ -33,14 +34,13 @@ sf.str.search("S").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -71,14 +71,13 @@ sf.str.search("city").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -93,4 +92,3 @@ sf.str.search("city").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index d314066..a807a36 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -4,16 +4,17 @@ description: Obtain the substring of each element in a series
 
 # Series.str.slice
 
-> danfo.Series.str.slice\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)\]
+> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns:**
 
-  ****return Series.
+**  **return Series.
 
 **Example**
 
@@ -30,14 +31,13 @@ sf.str.slice(2, 4).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -52,4 +52,3 @@ sf.str.slice(2, 4).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 65a82c7..8ba84b6 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,11 +6,12 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**\(splitVal\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L250)\]
+> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| splitVal | String | separator or delimiter used to split the string  | " " |
+| Parameters | Type   | Description                                                | Default                         |
+| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
+| splitVal   | String | separator or delimiter used to split the string            | " "                             |
+| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
 
 **Returns**
 
@@ -33,12 +34,11 @@ console.log(sf.str.split().values)
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
-**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
+**OUTPUT:     **`[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
 
 {% tabs %}
 {% tab title="JavaScript" %}
@@ -53,14 +53,13 @@ sf.str.split("_").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -73,4 +72,3 @@ sf.str.split("_").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index 311bb2f..6290122 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -4,13 +4,14 @@ description: Test whether a string begins with specified characters
 
 # Series.str.startsWith
 
-> danfo.Series.str.**startsWith**\(str\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)\]
+> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| str | string | the character\(s\) to check | "" |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:**  Series \(Boolean element\)
+**Returns:  **Series (Boolean element)
 
 **Examples**
 
@@ -27,14 +28,13 @@ sf.str.startsWith("S").print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +49,3 @@ sf.str.startsWith("S").print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index 1512f02..bb58cfd 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -6,20 +6,21 @@ description: >-
 
 # Series.str.substr
 
-> danfo.Series.str.substr\(startIndex, num\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)\]
+> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| num | Number | The number of character to obtain starting from the startIndex | 1 |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns:**
 
-      ****return Series
+**      **return Series
 
 **Example**
 
-Obtain substring\( containing 4 characters\) starting from the third character \(2nd index\).
+Obtain substring( containing 4 characters) starting from the third character (2nd index).
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -47,4 +48,3 @@ sf.str.substr(2, 4).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 73ab3a8..39bd460 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -4,16 +4,17 @@ description: Obtain the substring of each element in a series
 
 # Series.str.substring
 
-> danfo.Series.str.**substring**\(startIndex, endIndex\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)\]
+> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| startIndex | Number | specify the index to start obtaining the substring | 0 |
-| endIndex | Number | specify the index to end the substring | 1 |
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns**
 
-     ****return **Series**
+**     **return **Series**
 
 **Example**
 
@@ -32,14 +33,13 @@ sf.str.substring(2, 4).print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -54,4 +54,3 @@ sf.str.substring(2, 4).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.tolowercase.md b/api-reference/series/series.str.tolowercase.md
index ada457b..9abe0f5 100644
--- a/api-reference/series/series.str.tolowercase.md
+++ b/api-reference/series/series.str.tolowercase.md
@@ -4,11 +4,11 @@ description: Converts all characters to lower case.
 
 # Series.str.toLowerCase
 
-> danfo.Series.str.toLowerCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)\]
+> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
 
-**Parameters:** None
-
-**Returns**:  Series \(String element\)
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -27,14 +27,13 @@ sf.str.toLowerCase().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +48,3 @@ sf.str.toLowerCase().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.touppercase.md b/api-reference/series/series.str.touppercase.md
index 7e23c08..f484390 100644
--- a/api-reference/series/series.str.touppercase.md
+++ b/api-reference/series/series.str.touppercase.md
@@ -4,11 +4,13 @@ description: Converts all characters to uppercase.
 
 # Series.str.toUpperCase
 
-> danfo.Series.str.toUpperCase\(\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)\]
+> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
 
-**Parameters:** None
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns**:  Series \(String element\)
+**Returns**:  Series (String element)
 
 **Example**
 
@@ -27,14 +29,13 @@ sf.str.toUpperCase().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -49,4 +50,3 @@ sf.str.toUpperCase().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index 7e30db5..c5df92a 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -4,13 +4,15 @@ description: Remove leading and trailing Whitespace from a String element
 
 # Series.str.trim
 
-> danfo.Series.str.**trim**\(\)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**\]**
+> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
 
-**Parameters:** None
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Returns:**
 
-         ****return Series
+**         **return Series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -25,14 +27,13 @@ sf.str.trim().print()
 
 {% tab title="Browser" %}
 ```
-
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -47,4 +48,3 @@ sf.str.trim().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.sub.md b/api-reference/series/series.sub.md
index 95da267..e281d06 100644
--- a/api-reference/series/series.sub.md
+++ b/api-reference/series/series.sub.md
@@ -1,14 +1,15 @@
 ---
-description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
+description: Return Subtraction of series and other, element-wise (binary operator sub).
 ---
 
 # Series.sub
 
-> danfo.Series.sub\(other\)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)\]
+> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series\|int\| | values  |  |
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Return:** Series
 
@@ -32,7 +33,7 @@ sf1.sub(sf2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -65,7 +66,7 @@ sf1.sub(2).print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -83,5 +84,3 @@ sf1.sub(2).print()
 {% endtab %}
 {% endtabs %}
 
-
-
diff --git a/api-reference/series/series.sum.md b/api-reference/series/series.sum.md
index 838283c..fabcba7 100644
--- a/api-reference/series/series.sum.md
+++ b/api-reference/series/series.sum.md
@@ -4,7 +4,7 @@ description: Return the sum of the values in a series.
 
 # Series.sum
 
-> danfo.Series.sum\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)\]
+> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
 
 **Parameter:** None
 
@@ -27,11 +27,10 @@ console.log(sf1.sum())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 207
 ```
 {% endtab %}
 {% endtabs %}
 
-\*\*\*\*
-
+****
diff --git a/api-reference/series/series.value_counts.md b/api-reference/series/series.value_counts.md
index 7d99ff2..e8d0ad7 100644
--- a/api-reference/series/series.value_counts.md
+++ b/api-reference/series/series.value_counts.md
@@ -2,13 +2,13 @@
 description: Count the number of occurrence for each element in a Series
 ---
 
-# Series.value\_counts
+# Series.value_counts
 
-> danfo.Series.value\_counts\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)\]
+> danfo.Series.value_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
 
-**Parameters:** None
+**Parameters: **None
 
-**Returns:** Series \(int element\)
+**Returns: **Series (int element)
 
 **Example**
 
@@ -27,7 +27,7 @@ sf.value_counts().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔════╤══════════════════════╗
 ║    │ 0                    ║
 ╟────┼──────────────────────╢
@@ -52,4 +52,3 @@ sf.value_counts().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index ea67970..0bfd0a3 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -1,6 +1,6 @@
 # Building Data Driven Applications with Danfo.js - Book
 
-## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo_  code before  31st December 2020 and get 25% discount. 
+## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo _ code before  31st December 2020 and get 25% discount. 
 
 ## What this book is about
 
@@ -8,7 +8,7 @@ The book then shows you how to load different datasets, combine and analyze them
 
 By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
 
-![Danfo.js book cover](.gitbook/assets/b17076_cover.jpg)
+![Danfo.js book cover](.gitbook/assets/b17076\_cover.jpg)
 
 ## **What you will learn**
 
@@ -39,5 +39,3 @@ This book is for data analysts, data scientists, and JavaScript developers who w
 12. Building a Twitter Analysis Dashboard
 13. Appendix: Essential JavaScript Concepts
 
-
-
diff --git a/contributing-guide.md b/contributing-guide.md
index 878a606..05d635b 100644
--- a/contributing-guide.md
+++ b/contributing-guide.md
@@ -25,7 +25,7 @@ description: >-
   * Committing your code
   * Pushing your changes
   * Review your code and finally, make the pull request
-* Danfojs internal \(Brief\)
+* Danfojs internal (Brief)
 
 ## TL:DR
 
@@ -33,7 +33,7 @@ All contributions, bug reports, bug fixes, documentation improvements, enhanceme
 
 For contributors familiar with open-source,  below is a quick guide to setting up danfojs locally.  
 
-```text
+```
 git clone https://github.com/opensource9ja/danfojs.git
 cd danfojs
 git checkout -b <your-branch-name>
@@ -43,14 +43,14 @@ There are two folders, **danfojs-browser** and **danfojs-node**. If you are cont
 
 For instance, if I want to do some bug fixes in danfojs-node. I can do the following:
 
-```text
+```
 cd danfojs-node 
 yarn ##install all packages 
 ```
 
 Add my bug fixes and ensure test passes:
 
-```text
+```
 yarn test ## run test 
 ```
 
@@ -80,14 +80,14 @@ You will need your own fork to work on the code. Go to the danfojs [project page
 
 Next, you will clone your fork to your local machine:
 
-```text
+```
 git clone https://github.com/opensource9ja/danfojs.git
 cd danfojs
 ```
 
-This creates the directory danfojs and connects your repository to the upstream \(main project\) repository.
+This creates the directory danfojs and connects your repository to the upstream (main project) repository.
 
-> **All development are done in two folders--**[**danfojs-browser**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-browser) **and** [**danfojs-node**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-node) **folders. The two folders are similar and it is always recommended to pull latest changes from master before development in any of the folder.**
+> **All development are done in two folders--**[**danfojs-browser**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-browser)** and **[**danfojs-node**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-node)** folders. The two folders are similar and it is always recommended to pull latest changes from master before development in any of the folder. **
 
 Some Javascript features are supported both in the browser and node environment, and it is recommended to add these to both versions. 
 
@@ -205,7 +205,7 @@ describe("Name of the class|module", function(){
 });
 ```
 
-**Example**: Let write a test, to test if the values in a dataframe are off a certain length. Assuming the method to obtain length is values\_len\(\)
+**Example**: Let write a test, to test if the values in a dataframe are off a certain length. Assuming the method to obtain length is values_len()
 
 ```javascript
 import { assert } from "chai"
@@ -236,22 +236,22 @@ describe("DataFrame", function(){
 
 To run the test for the module you created,
 
-**1\)** Open the package.json 
+**1)** Open the package.json 
 
-**2\)** change the name of the test file to the file name you want. and don't forget the file is in the test folder
+**2)** change the name of the test file to the file name you want. and don't forget the file is in the test folder
 
 ```python
 "scripts": {
     "test": "....... danfojs/tests/sub_directory_name/filename",
 ```
 
-**3\)**  run the test, in the danfojs directory terminal
+**3)  **run the test, in the danfojs directory terminal
 
 ```python
 yarn test
 ```
 
-Learn more about mocha [here](https://mochajs.org/)
+Learn more about mocha [here](https://mochajs.org)
 
 ## Contributing your changes to danfojs
 
@@ -259,19 +259,19 @@ Learn more about mocha [here](https://mochajs.org/)
 
 Once you’ve made changes, you can see them by typing:
 
-```text
+```
 git status
 ```
 
 Next, you can track your changes using
 
-```text
+```
 git add .
 ```
 
 Next, you commit changes using:
 
-```text
+```
 git commit -m "Enter any commit message here"
 ```
 
@@ -279,7 +279,7 @@ git commit -m "Enter any commit message here"
 
 When you want your changes to appear publicly on your GitHub page, you can push to your forked repo with:
 
-```text
+```
 git push
 ```
 
@@ -300,31 +300,30 @@ This request then goes to the repository maintainers, and they will review the c
 
 In other to contribute to the code base of danfojs, there are some functions and properties provided to make implementation easy.
 
-The main exposed modules are the **Frame** and **Series** module. This module inherits from the **Generic** module.
+The main exposed modules are the **Frame** and **Series** module. This module inherits from the **Generic **module.
 
 The **Generic** module consists of the following methods and properties
 
-* `.dtypes`    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L213)\] is used to obtain the dtype for each column
-* `.index` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L250)\] to obtain the index for Dataframe or Series
-* `.__set_index(label)`   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L257)\] to set the index value
-* `.__reset_index()`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L271)\] to reset the index in DataFrame and Series
-* `.values`    Obtain the values in  DataFrame and Series per rows
+* `.dtypes`    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L213)] is used to obtain the dtype for each column
+* `.index` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L250)] to obtain the index for Dataframe or Series
+* `.__set_index(label) `  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L257)] to set the index value
+* `.__reset_index()`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L271)] to reset the index in DataFrame and Series
+* `.values `   Obtain the values in  DataFrame and Series per rows
 * `.col_data` Obtain the values in DataFrame and Series per columns
-* `.column_names`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\] Obtain the list of column names
-* `.__set_col_types` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L165)\] set the dtype for a column or infer the dtype from it
+* `.column_names`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)] Obtain the list of column names
+* `.__set_col_types` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L165)] set the dtype for a column or infer the dtype from it
 * `.columns` to  access the column names directly
 * `row_data_tensor`  store the tensor representation of the data in DataFrame and Series
 
-The **Frame** module consists of the following methods and properties to aid implementation.
+The **Frame **module consists of the following methods and properties to aid implementation.
 
-* `__frame_is_compactible_for_operation`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1754)\]:  check if all the values in a DataFrame are numerical. This helps to check if the numerical operation can be done using the dataframe.
+* `__frame_is_compactible_for_operation`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1754)]:  check if all the values in a DataFrame are numerical. This helps to check if the numerical operation can be done using the dataframe.
 * `.__get_ops_tensors(tensors, axis)`   \[[source\]](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1767) : obtain tensors from dataframes along axis 0 or 1.
-* `.__get_df_from_tensor(val, col_names)`   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1741)\]:  Obtain dataframe from tensor.
-* `.__get_tensor_and_idx(df, axis)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L928)\]:  Obtain tensors, their index value and their axis from dataframe.
+* `.__get_df_from_tensor(val, col_names) `  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1741)]:  Obtain dataframe from tensor.
+* `.__get_tensor_and_idx(df, axis)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L928)]:  Obtain tensors, their index value and their axis from dataframe.
 
-The **Series** module contains mostly Generic properties and less special internal properties.
+The **Series **module contains mostly Generic properties and less special internal properties.
 
-* `__check_series_op_compactibility(other)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L666)\]  check if two series are compatible for numerical operation
+* `__check_series_op_compactibility(other)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L666)]  check if two series are compatible for numerical operation
 
 Lastly, the **Utils** module contains important utility functions.
-
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 66dd124..b9f9cca 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -7,11 +7,9 @@ description: >-
 
 # Titanic Survival Prediction using Danfo.js and Tensorflow.js
 
-> The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. \([Wikipedia](https://en.wikipedia.org/wiki/Titanic)\)
+> The RMS Titanic was a British passenger liner that sank in the North Atlantic Ocean in the early morning hours of 15 April 1912, after it collided with an iceberg during its maiden voyage from Southampton to New York City. There were an estimated 2,224 passengers and crew aboard the ship, and more than 1,500 died, making it one of the deadliest commercial peacetime maritime disasters in modern history. The RMS Titanic was the largest ship afloat at the time it entered service and was the second of three Olympic-class ocean liners operated by the White Star Line. The Titanic was built by the Harland and Wolff shipyard in Belfast. Thomas Andrews, her architect, died in the disaster. ([Wikipedia](https://en.wikipedia.org/wiki/Titanic))
 
-
-
-In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning. 
+In this tutorial, I will show you how to load and process the famous Titanic dataset with danfo.js, and also how to create a deep learning model with Tensorflow.js to predict survival. This is a classic problem used to introduce new concepts in the field of Machine Learning.
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
@@ -19,9 +17,9 @@ The main objective of this tutorial is to show you how to use danfo.js to load a
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
-### Setting up your environment
+## Setting up your environment
 
-Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment. 
+Danfo.js comes in two builds. There's the browser-based build, optimized for browser environments, and there is the node.js version optimized for Node.js environment.
 
 In this tutorial, you're going to use the Node.js build. If you do not have Node.js installed, following the guide [here](https://nodejs.org/en/). When you're done, create a new project by running the command below in a terminal opened in your preferred terminal.
 
@@ -31,9 +29,9 @@ npm init
 
 Fill in the necessary details to create your app. Next, in your terminal, install danfo.js:
 
-**Update \(14th Feb 2021\):** 
+**Update (14th Feb 2021):**
 
-Danfo now ships with an exported version of tensorflow \(v2.8.5\). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past. 
+Danfo now ships with an exported version of tensorflow (v2.8.5). This is exported under the namespace `tf`. This fixes the **double registration of runtime** issue many users have faced in the past.
 
 ```javascript
 npm install danfojs-node
@@ -46,23 +44,23 @@ const dfd = require("danfojs-node")
 const tf = dfd.tf //Reference to the exported tensorflowjs library
 ```
 
-### Loading and processing your data
+## Loading and processing your data
 
-To load a CSV dataset, you can use the [read\_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
+To load a CSV dataset, you can use the [read_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
 Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
-    
+
     let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
-    
-    
+
+
 }
 ```
 
-```text
+```
  Shape: (5,8) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -80,7 +78,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function. 
+You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -110,7 +108,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature. 
+From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns
@@ -120,11 +118,11 @@ let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 df.addColumn({ column: "Name", values: title, inplace: true })
 ```
 
-In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function. 
+In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
 
 So what exactly is the function doing? Well, it is basically slicing each name and extracting the title. And finally, you are using the result to replace the original name column. When you're done, your output becomes:
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -138,7 +136,6 @@ So what exactly is the function doing? Well, it is basically slicing each name a
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 4 │ 0                 │ 3                 │ Mr                │ male              │ ...               │ 35                │ 0                 │ 0                 │ 8.05              ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 You notice we now have titles inplace of names. You can easily one hot encode this feature. You will do that below:
@@ -158,8 +155,7 @@ df.head().print()
 
 In code cell above, you're[ label encoding](../api-reference/general-functions/danfo.labelencoder.md) the Sex and Name column. You loop over each column name, fit the encoder to the column, transform it and finally reassign it to the DataFrame. The output is shown below:
 
-```text
-
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -183,7 +179,7 @@ Xtrain = df.iloc({ columns: [`1:`] })
 ytrain = df['Survived']
 ```
 
-Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training. 
+Next, you'll scale the data using [MinMaxScaler](../api-reference/general-functions/danfo.minmaxscaler.md). It is important to scale your data before model training, as this will affect training.
 
 ```javascript
 // Standardize the data with MinMaxScaler
@@ -193,9 +189,9 @@ Xtrain = scaler.transform(Xtrain)
 return [Xtrain.tensor, ytrain.tensor]
 ```
 
-In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled. 
+In the code cell above, first, you create an instance from the MinMaxScaler class. Next, you fit the train data and finally, you transform. The output from the scaler is a DataFrame of same size with the values scaled.
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 │ 4                 │ 5                 │ 6                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -211,7 +207,7 @@ In the code cell above, first, you create an instance from the MinMaxScaler clas
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The full code for the load\_process\_data function becomes:
+The full code for the load_process_data function becomes:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -250,11 +246,11 @@ async function load_process_data() {
 load_process_data()
 ```
 
-### Model Building With Tensorflow.js
+## Model Building With Tensorflow.js
 
-In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html). 
+In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get\_model. This will construct and return a model when called. 
+Create a simple function called get_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -268,12 +264,11 @@ function get_model() {
 }
 ```
 
-In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem. 
+In the code cell above, you created a neural network with 4 layers. Note the input shape, this should be the same as your column numbers. Also, note that you used a sigmoid in the output layer. This is because you're working on a binary classification problem.
 
 Next, you will create a function called _**train:**_
 
 ```javascript
-
 async function train() {
     const model = get_model()
     const data = await load_process_data()
@@ -285,7 +280,7 @@ async function train() {
         loss: 'binaryCrossentropy',
         metrics: ['accuracy'],
     });
-    
+
     console.log("Training started....")
     await model.fit(Xtrain, ytrain,{
         batchSize: 32,
@@ -298,15 +293,15 @@ async function train() {
             }
         }
     });
-    
+
 }
 ```
 
-This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
+This function calls the _**load_process_data**_ function to retrieve training data as tensors and also calls the _**get_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
-Next, you call the **fit** function on the model, by passing the training data and labels \(tensors\), specify batch size, epoch size, validation split size, and also a callback function to track training progress. 
+Next, you call the **fit** function on the model, by passing the training data and labels (tensors), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
-The training progress is printed to the console at the end of each Epoch.  Below is the full code from loading data to training your model:
+The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -392,8 +387,7 @@ node app.js
 
 This runs the script, and displays training progress after each Epoch as shown below:
 
-```text
-
+```
 Epoch 12 / 15
 eta=0.0 ===============================================================================================> 
 322ms 455us/step - acc=0.812 loss=0.433 val_acc=0.826 val_loss=0.371 
@@ -419,13 +413,12 @@ EPOCH (15): Train Accuracy: 80.39,
                                                      Val Accuracy:  83.15
 ```
 
-After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here. 
+After 15 epochs, you reach an accuracy of about 83%. This can definitely be improved, but for the sake of simplicity, we'll stop here.
 
-In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python. 
+In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers. 
+You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
 
-As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model. 
+As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
 Go danfo! 😎
-
diff --git a/examples/using-danfojs-in-react.md b/examples/using-danfojs-in-react.md
index 118de23..b11ca0c 100644
--- a/examples/using-danfojs-in-react.md
+++ b/examples/using-danfojs-in-react.md
@@ -1,6 +1,6 @@
 # Using Danfojs in React
 
-**TL:DR** See Example react application using danfojs [here](https://github.com/opensource9ja/Data-aRT)
+**TL:DR **See Example react application using danfojs [here](https://github.com/opensource9ja/Data-aRT)
 
 Danfojs works for both browser and NodeJs environment, and as such is available to frontend frameworks like React and Vue. 
 
@@ -67,4 +67,3 @@ import { DataFrame } from "danfojs/src/index";
 ```
 
 Following these steps, you can use danfojs in any client-side library. 
-
diff --git a/getting-started.md b/getting-started.md
index a88f855..5e92af5 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -8,27 +8,43 @@ description: >-
 
 ## Installation
 
-There are two ways to get danfo.js. We built an optimized and fast version for node.js and its available under the [danfojs-node](https://www.npmjs.com/package/danfojs-node) namespace. To install it via npm, you can do the following:
+There are three ways to install and use Danfo.js in your application
 
-```text
+For Nodejs applications, you can install the [danfojs-node](https://www.npmjs.com/package/danfojs-node) version via package managers like yarn and npm:
+
+```
 npm install danfojs-node
+
+or
+
+yarn add danfojs-node
 ```
 
-You can also install and use it in the browsers by using the CDN below:
+For client-side applications built with frameworks like React, Vue, Next.js, etc, you can install the [danfojs](https://www.npmjs.com/package/danfojs) version:
+
+```
+npm install danfojs
+
+or
+
+yarn add danfojs
+```
+
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment , see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environment and Node.js environment. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM works the same way in both environments.
+We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -45,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -64,9 +80,9 @@ const dfd = require("danfojs-node")
 {% endtab %}
 {% endtabs %}
 
-### Object creation
+### Creating a DataFrame/Series
 
-Creating a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting danfo.js create a default integer index:
+You can create a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) by passing a list of values, letting Danfo.js create a default integer index:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -103,7 +119,7 @@ s.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
@@ -114,7 +130,7 @@ s.print()
 ╟───┼──────────────────────╢
 ║ 2 │ 5                    ║
 ╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
+║ 3 │ undefined            ║
 ╟───┼──────────────────────╢
 ║ 4 │ 6                    ║
 ╟───┼──────────────────────╢
@@ -167,18 +183,16 @@ s.print()
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 1 │ 34 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 2  ║
+╚═══╧════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a JSON object:
@@ -279,7 +293,7 @@ df.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -363,7 +377,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output in console
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
@@ -384,21 +398,19 @@ The columns of the resulting [`DataFrame`](https://pandas.pydata.org/pandas-docs
 df.ctypes.print()
 ```
 
-```text
+```
 //output
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ string               ║
-╟───┼──────────────────────╢
-║ B │ string               ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ float32              ║
-╟───┼──────────────────────╢
-║ E │ string               ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ string  ║
+╟───┼─────────╢
+║ B │ string  ║
+╟───┼─────────╢
+║ C │ int32   ║
+╟───┼─────────╢
+║ D │ float32 ║
+╟───┼─────────╢
+║ E │ string  ║
+╚═══╧═════════╝
 ```
 
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing an array of arrays. Index and column labels are automatically generated for you.
@@ -450,7 +462,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output in console
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -470,12 +482,12 @@ df.print()
 
 Here is how to view the top and bottom rows of the frame above:
 
-```text
+```
 df.head(2).print()
 df.tail(2).print()
 ```
 
-```text
+```
 //output from head
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
@@ -560,7 +572,7 @@ console.log(df.columns);
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output
 [ 0, 1, 2, 3 ]
 [ 'A', 'B', 'C', 'D', 'E' ]
@@ -624,7 +636,7 @@ df.tensor.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output
 
 Tensor {
@@ -702,25 +714,29 @@ df.describe().print()
 {% endtab %}
 {% endtabs %}
 
-```text
-//output in console
-
-╔════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║        │ A                 │ B                 │ C                 │ D                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count  │ 4                 │ 4                 │ 4                 │ 4                 ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean   │ 0.533175          │ 0.484235          │ -0.474898         │ 1.5816            ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std    │ 0.107543          │ 2.569317          │ 3.437147          │ 2.200545          ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min    │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
-╟────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median │ 0.4902            │ -0.52863          │ -1.50745          │ 1.6492            ║
-╚════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
+//output in console
 
-Sorting by values \(Defaults to ascending\):
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 4                 │ 4                 │ 4                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 0.533175          │ 0.4842349999999…  │ -0.474897500000…  │ 1.5816            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 0.1075428712963…  │ 2.5693167249095…  │ 3.4371471031498…  │ 2.2005448052698…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0.4612            │ -1.28863          │ -3.39059          │ -1.1352           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 0.4901999999999…  │ -0.528629999999…  │ -1.50745          │ 1.6492            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 0.6911            │ 4.28283           │ 4.5059            │ 4.1632            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 0.0115654691666…  │ 6.6013884328999…  │ 11.813980208691…  │ 4.84239744        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Sorting by values (Defaults to ascending):
 
 {% tabs %}
 {% tab title="Node" %}
@@ -771,16 +787,18 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ -4                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 47.3              │ 5                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -20               │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ NaN               │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Selection
@@ -840,7 +858,7 @@ df['A'].print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output
 ╔═══╤══════════════════════╗
 ║   │ A                    ║
@@ -873,7 +891,7 @@ let sub_df = df.loc({rows: ["a", "c"]})
 sub_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -914,7 +932,7 @@ let sub_df = df.loc({ rows: [0,1], columns: ["Name", "Price"] })
 sub_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -939,7 +957,7 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Showing label slicing, both endpoints are _included_:
+Showing label slicing:
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -955,7 +973,7 @@ let sub_df = df.loc({ rows: ["0:2"], columns: ["Name", "Price"] })
 sub_df.print()
 ```
 
-```text
+```
 //before slicing
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
@@ -970,17 +988,15 @@ sub_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 //after slicing
- Shape: (3,2) 
+ 
 
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Selection by position
@@ -1000,7 +1016,7 @@ let sub_df = df.iloc({rows: [1,3]})
 sub_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1025,16 +1041,14 @@ let sub_df = df.iloc({rows: ["1:3"]})
 sub_df.print()
 ```
 
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 By lists of integer position locations:
@@ -1052,7 +1066,7 @@ let sub_df = df.iloc({rows: [1,3], columns: [0,2]})
 sub_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Price             ║
 ╟───┼───────────────────┼───────────────────╢
@@ -1077,14 +1091,12 @@ let sub_df = df.iloc({rows: ["2:3"], columns: [":"]})
 sub_df.print()
 ```
 
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 For slicing columns explicitly:
@@ -1102,18 +1114,63 @@ let sub_df = df.iloc({rows: [":"], columns: ["1:2"]})
 sub_df.print()
 ```
 
-```text
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╗
+║            │ Count             ║
+╟────────────┼───────────────────╢
+║ 0          │ 21                ║
+╟────────────┼───────────────────╢
+║ 1          │ 5                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 30                ║
+╟────────────┼───────────────────╢
+║ 3          │ 10                ║
+╚════════════╧═══════════════════╝
+```
+
+#### Selection with Boolean Mask
+
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+
+```javascript
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+
+let sub_df = df.iloc({ rows: df["Count"].gt(10) })
+sub_df.print()
+```
+
+```
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+
+```javascript
+let sub_df = df.iloc({
+    rows: df["Count"].gt(10).and(df["Name"].eq("Apples")),
+    columns: [0]
+})
+sub_df.print()
+
+//output
+╔════════════╤═══════════════════╗
+║            │ Name              ║
+╟────────────┼───────────────────╢
+║ 0          │ Apples            ║
+╚════════════╧═══════════════════╝
 ```
 
 #### Boolean Querying/Filtering
@@ -1170,7 +1227,7 @@ query_df.print() //after query
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //before query
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -1194,7 +1251,7 @@ query_df.print() //after query
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Selecting values from a DataFrame works on string columns:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
 let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
@@ -1202,34 +1259,36 @@ let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
              {"C": [20, 20, 30, 40]}]
 let df = new dfd.DataFrame(data)
 
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+let query_df = df.query({ condition: df["B"].gt(5) })
 query_df.print() //after query
 ```
 
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
 
-//after query
+Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let query_df = df.query({
+    condition:
+        df["B"].gt(5).and(df["A"].lt(30))
+})
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### Adding a new column
@@ -1249,7 +1308,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
+df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1281,7 +1340,7 @@ df.print()
 
         let new_col = [1, 2, 3, 4]
         df.addColumn({ "column": "D", "values": new_col, inplace: true }); //happens inplace
-        
+
         df.print()
 
     </script>
@@ -1292,7 +1351,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //before adding column
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -1309,22 +1368,22 @@ df.print()
 //after adding column
  Shape: (4,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                │ 45                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                │ 55                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ### Missing data
 
-danfo primarily uses the value **NaN** to represent missing data. It converts **undefined** type to **NaN** by default when creating DataFrames/Series with missing values.
+ **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
 
 To drop any rows that have missing data:
 
@@ -1333,13 +1392,13 @@ To drop any rows that have missing data:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, 20, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
@@ -1378,29 +1437,29 @@ df_drop.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
- Shape: (1,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 To drop any columns with have missing data, set the axis to 1:
@@ -1408,44 +1467,45 @@ To drop any columns with have missing data, set the axis to 1:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 1})
+let df_drop = df.dropna(1)
 df_drop.print()
 ```
 
-```text
+```
 //Before dropping
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 34                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
 //after droppping
 
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
+
 ```
 
 Filling missing data:
@@ -1455,18 +1515,18 @@ const dfd = require("danfojs-node")
 
 
 let data = {
-            "Name": ["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10],
-            "Price": [200, 300, 40, 250]
-          }
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+  }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1485,18 +1545,20 @@ Filling missing values in specific columns with specific values:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", NaN],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1523,7 +1585,7 @@ let df = new dfd.DataFrame(data)
 df.isna().print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1554,7 +1616,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
 df.mean().print() //defaults to column axis
 ```
@@ -1592,7 +1654,7 @@ df.mean().print() //defaults to column axis
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1608,11 +1670,11 @@ df.mean().print() //defaults to column axis
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
-║ 0 │ 4                    ║
+║ A │ 4                    ║
 ╟───┼──────────────────────╢
-║ 1 │ 38.5                 ║
+║ B │ 38.5                 ║
 ╟───┼──────────────────────╢
-║ 2 │ 31.75                ║
+║ C │ 31.75                ║
 ╚═══╧══════════════════════╝
 ```
 
@@ -1630,7 +1692,7 @@ df.print()
 df.mean(0).print() //row axis=0, column=1
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -1666,12 +1728,12 @@ let data = { "Col1": [1, 4, 5, 1], "Col2": [3, 2, 0, 4] }
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([4, 5])
 
-let df_new = df.sub(sf, axis = 1)
+let df_new = df.sub(sf, { axis: 1 })
 
 df_new.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ Col1              │ Col2              ║
 ╟───┼───────────────────┼───────────────────╢
@@ -1687,7 +1749,7 @@ df_new.print()
 
 #### Apply
 
-Applying JavaScript functions to the data:
+Applying functions to the data along specified axis. If axis = 1 (default), then the specified function (`callable)` will be called with each column data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1696,15 +1758,15 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 
-```text
+```
 //before applying
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -1721,22 +1783,18 @@ df_new.print()
 
 //after applying
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 
-Applying Tensorflow functions to the data:
+Applying Element wise operations to the data:
 
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1745,17 +1803,15 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.print()
-
-function log_sig(x) {
-    return x.logSigmoid()
+function sum_vals(x) {
+    return x + 10
 }
 
-let df_new = df.apply({axis: 0, callable: log_sig })
+let df_new = df.apply_map(sum_vals)
 df_new.print()
 ```
 
-```text
+```
 //before applying
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
@@ -1770,24 +1826,24 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after applying
+ //after apply_map
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 12                │ 13                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 14                │ 15                │ 16                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                │ 50                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 49                │ 99                │ 88                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 #### String Methods
 
-Series is equipped with a set of string processing methods in the **str** attribute that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in **str** generally uses JavaScript [regular expressions](https://docs.python.org/3/library/re.html) by default \(and in some cases always uses them\).
+Series is equipped with a set of string processing methods in the **str** attribute that make it easy to operate on each element of the array, as in the code snippet below. Note that pattern-matching in **str** generally uses JavaScript [regular expressions](https://docs.python.org/3/library/re.html) by default (and in some cases always uses them).
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1797,7 +1853,7 @@ lower_s = s.str.toLowerCase()
 lower_s.print()
 ```
 
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -1850,7 +1906,7 @@ let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 }) //along column axis
 com_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -1864,7 +1920,7 @@ com_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Concatenate along row axis \(0\).
+Concatenate along row axis (0).
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1887,7 +1943,7 @@ let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 }) //along row axis
 com_df.print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -1934,7 +1990,7 @@ let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
 merge_df.print()
 ```
 
-```text
+```
  //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -2012,7 +2068,7 @@ grp.get_groups(["foo"]).print()
 grp.get_groups(["bar"]).print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -2061,7 +2117,7 @@ let grp = df.groupby(["A"])
 grp.col(["C"]).sum().print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ C_sum             ║
 ╟───┼───────────────────┼───────────────────╢
@@ -2091,7 +2147,7 @@ let grp = df.groupby(["A","B"])
 grp.col(["C"]).sum().print()
 ```
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C_sum             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -2124,7 +2180,7 @@ sf.print()
 sf.dt.month_name().print()
 ```
 
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -2159,7 +2215,7 @@ sf.print()
 sf.dt.weekdays().print()
 ```
 
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -2232,7 +2288,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
 </html>
 ```
 
-![](.gitbook/assets/newplot-29-%20%282%29.png)
+![](<.gitbook/assets/newplot-29- (2).png>)
 
 On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html#pandas.DataFrame.plot)method exposes various [plot types](api-reference/plotting/). And by default, all columns are plotted unless specified otherwise.
 
@@ -2263,38 +2319,45 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 </html>
 ```
 
-![](.gitbook/assets/newplot-2-%20%281%29%20%281%29.png)
+![](<.gitbook/assets/newplot-2- (1) (1).png>)
 
 ### Getting data in/out
 
 #### CSV
 
-[Writing to a csv file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
 
-Convert any DataFrame to csv format.
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
 
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
-          "Abs": [20.2, 30, 47.3],
-          "Count": [34, 4, 5],
-          "country code": ["NG", "FR", "GH"]
-        }
+    "Abs": [20.2, 30, 47.3],
+    "Count": [34, 4, 5],
+    "country code": ["NG", "FR", "GH"]
+}
 
 
 let df = new dfd.DataFrame(data)
 
-df.to_csv().then((csv) => {
-  console.log(csv);
+const csv = df.to_csv()
+console.log(csv);
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+
+
+df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
+
+
+df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-}).catch((err) => {
 
-  console.log(err);
-})
 ```
 
-```text
+```
 Abs,Count,country code
 20.2,34,NG
 30,4,FR
@@ -2303,7 +2366,7 @@ Abs,Count,country code
 
 [Reading from a CSV file.](https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#io-read-csv-table)
 
-The **read\_csv** method can read CSV file from local disk, or over the internet. If the file is to be read from a local disk in Node environment, you have to prefix the full path name with a "**file://**" prefix. For instance, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
+The **read_csv** method can read CSV file from local disk, or over the internet. If the file is to be read from a local disk in Node environment, you have to prefix the full path name with a "**file://**" prefix. For instance, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
 
 {% tabs %}
 {% tab title="JavaScript" %}
@@ -2372,18 +2435,23 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-df.to_json().then((json) => {
-  console.log(json);
+const json = df.to_json()
+console.log(json);
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
 
-}).catch((err) => {
 
-  console.log(err);
-})
-```
+const json = df.to_json({format: "row"})
+console.log(json);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
 
-```text
-[{"Abs":20.2,"Count":34,"country code":"NG"},
-{"Abs":30,"Count":4,"country code":"FR"},
-{"Abs":47.3,"Count":5,"country code":"GH"}]
 ```
-
diff --git a/release-notes.md b/release-notes.md
index fc8d8e9..34a3249 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,12 +1,12 @@
 # Release Notes
 
-### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.2\), Browser \(0.3.2\)
+### \[LATEST] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.3.2), Browser (0.3.2)
 
 **Date:** 2nd Oct 2021
 
 Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis. 
 
-### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.3.1\), Browser \(0.3.1\)
+### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.3.1), Browser (0.3.1)
 
 **Date:** 1st Oct 2021
 
@@ -21,12 +21,18 @@ Minor patch update for column name display after aggregation functions like sum,
 * Add loc indexing support for Series
 * Add configuration support for formating DataFrame display in the console
 * New DataFrame `applyMap` function for element-wise apply function
-* `and` and `or` logical comparison support. E.g       `df.loc({`        `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60)) })`
-* `read_csv` now uses [Papaparse](https://www.papaparse.com/) and supports config values for headers, separator, etc.
+* `and` and `or` logical comparison support. E.g \
+       `df.loc({`\
+         `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
+  `})`
+* `read_csv` now uses [Papaparse](https://www.papaparse.com) and supports config values for headers, separator, etc.
 * `to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output. 
 * `read_json` now supports config values for headers, authentication, separator, etc.
 * `read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options. 
-* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g  `df.query({`   `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))  })`
+* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g \
+  `df.query({`\
+    `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60)) `\
+  `})`
 
 **Bug Fixes**
 
@@ -39,22 +45,22 @@ Minor patch update for column name display after aggregation functions like sum,
 
 Contributors [@risenW](https://github.com/risenW) 
 
-### \[LATEST\] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.2.7\), Browser \(0.2.6\)
+### \[LATEST] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.2.7), Browser (0.2.6)
 
 **Date:** 30th May 2021
 
-\[Bug Fixes\]: [\#206](https://github.com/opensource9ja/danfojs/issues/206) [\#203](https://github.com/opensource9ja/danfojs/issues/203) [\#200](https://github.com/opensource9ja/danfojs/issues/200) [\#198](https://github.com/opensource9ja/danfojs/issues/198) [\#198](https://github.com/opensource9ja/danfojs/issues/198) [\#188](https://github.com/opensource9ja/danfojs/issues/188) [\#181](https://github.com/opensource9ja/danfojs/issues/181) [\#175](https://github.com/opensource9ja/danfojs/issues/175) [\#183](https://github.com/opensource9ja/danfojs/issues/183) [\#168](https://github.com/opensource9ja/danfojs/issues/168)  
-\[Patches\] [\#191](https://github.com/opensource9ja/danfojs/issues/191) [\#161](https://github.com/opensource9ja/danfojs/issues/161) [\#206](https://github.com/opensource9ja/danfojs/issues/206)
+\[Bug Fixes]: [#206](https://github.com/opensource9ja/danfojs/issues/206) [#203](https://github.com/opensource9ja/danfojs/issues/203) [#200](https://github.com/opensource9ja/danfojs/issues/200) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#188](https://github.com/opensource9ja/danfojs/issues/188) [#181](https://github.com/opensource9ja/danfojs/issues/181) [#175](https://github.com/opensource9ja/danfojs/issues/175) [#183](https://github.com/opensource9ja/danfojs/issues/183) [#168](https://github.com/opensource9ja/danfojs/issues/168)\
+\[Patches] [#191](https://github.com/opensource9ja/danfojs/issues/191) [#161](https://github.com/opensource9ja/danfojs/issues/161) [#206](https://github.com/opensource9ja/danfojs/issues/206)
 
 Contributors [@risenW](https://github.com/risenW) [@steveoni](https://github.com/steveoni) [@jpjagt](https://github.com/jpjagt) [@sponsfreixes](https://github.com/sponsfreixes) [@bherbruck](https://github.com/bherbruck) [@woosuk288](https://github.com/woosuk288) and [@adithyaakrishna](https://github.com/adithyaakrishna)
 
-### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node \(v0.2.6\), Browser \(0.2.5\)
+### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.2.6), Browser (0.2.5)
 
 **Date:** 29th March 2021
 
-* \[Bug Fixes\]: [\#150](https://github.com/opensource9ja/danfojs/pull/150) [\#152 ](https://github.com/opensource9ja/danfojs/pull/152)
-* \[Patches\] [\#159](https://github.com/opensource9ja/danfojs/pull/159) , [\#158 ](https://github.com/opensource9ja/danfojs/pull/158)
-* \[Feature\] [\#154](https://github.com/opensource9ja/danfojs/pull/154) Perform groupby operation on grouped columns directly:
+* \[Bug Fixes]: [#150](https://github.com/opensource9ja/danfojs/pull/150) [#152 ](https://github.com/opensource9ja/danfojs/pull/152)
+* \[Patches] [#159](https://github.com/opensource9ja/danfojs/pull/159) , [#158 ](https://github.com/opensource9ja/danfojs/pull/158)
+* \[Feature] [#154](https://github.com/opensource9ja/danfojs/pull/154) Perform groupby operation on grouped columns directly:
 
 ```javascript
 group = df.groupby(['A"])
@@ -67,14 +73,14 @@ groupby.col(["C"]).apply((x) => x.min())
 
 **Contributors**: @steveoni @PrawiraGenestonlia @woosuk288 @risenW
 
-### Release Node \(v0.2.5\), Browser \(0.2.4\)
+### Release Node (v0.2.5), Browser (0.2.4)
 
 **Date:** 6th March 2021
 
 We added/updated the following features:
 
 * Fix error thrown when danfojs CDN is placed in an HTML header
-* Smaller bundle size for browser: From ~1.7mb to about ~550kb
+* Smaller bundle size for browser: From \~1.7mb to about \~550kb
 * Stopped bundling Danfojs with Plotly. This means that as of v0.2.3, we no longer ship with Plotly distribution due to the huge size. Plotly plots are still supported, but in order to make them, you have to explicitly add the Plotly CDN or package. 
 
 A simple example:
@@ -120,16 +126,16 @@ A simple example:
 </html>
 ```
 
-### Release [ \(v0.2.2\)](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.2)
+### Release [ (v0.2.2)](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.2)
 
 **Date:** 14th February 2021
 
 We added/updated the following features:
 
 * Fix babel runtime issue in node version 
-* Smaller size in browser version in this version. From ~8mb to about ~5mb
+* Smaller size in browser version in this version. From \~8mb to about \~5mb
 * Fix browser tag issue and returns back to specific versioning instead of @latest
-* Danfojs now ships with an exported version of tensorflowjs-node \(2.8.5\). This fixes the double dependency issue when building ML models, as you no longer need to install/import tensorflowjs separately.
+* Danfojs now ships with an exported version of tensorflowjs-node (2.8.5). This fixes the double dependency issue when building ML models, as you no longer need to install/import tensorflowjs separately.
 
 To use tensoflowjs-node, you can reference it from danfo as shown below:
 
@@ -143,24 +149,24 @@ model.add(tf.layers.dense({ units: 64, activation: 'relu' }));
 model.summary();
 ```
 
-### Release \(v0.1.5\)
+### Release (v0.1.5)
 
 **Date:** 25th September 2020
 
 We added/updated the following features:
 
-* [Read JSON](api-reference/input-output/danfo.read_json.md) files from local and remote URL into DataFrame \(New feature\)
-* [Read Excel](api-reference/input-output/danfo.read_excel.md) files from local or remote URL into DataFrame \(New feature\)
-* Fix string comparison bug in [query](api-reference/dataframe/danfo.dataframe.query.md) function \(Fix\)
-* Add append function for [DataFrame](api-reference/dataframe/dataframe.append.md) and [Series](api-reference/series/series.append.md) \(New feature\)
-* Fix null value bug when creating DataFrame from JSON files \(Fix\)
+* [Read JSON](api-reference/input-output/danfo.read_json.md) files from local and remote URL into DataFrame (New feature)
+* [Read Excel](api-reference/input-output/danfo.read_excel.md) files from local or remote URL into DataFrame (New feature)
+* Fix string comparison bug in [query](api-reference/dataframe/danfo.dataframe.query.md) function (Fix)
+* Add append function for [DataFrame](api-reference/dataframe/dataframe.append.md) and [Series](api-reference/series/series.append.md) (New feature)
+* Fix null value bug when creating DataFrame from JSON files (Fix)
 * Add relative import for reading files into DataFrame
-* Add [sort\_index](api-reference/dataframe/dataframe.sort_index.md) function to DataFrame and Series \(New feature\)
-* Minor patch and overall optimizations \(Fix\)
+* Add [sort_index](api-reference/dataframe/dataframe.sort_index.md) function to DataFrame and Series (New feature)
+* Minor patch and overall optimizations (Fix)
 
 **Contributors**: [Rising Odegua](https://github.com/risenW), [Stephen Oni](https://github.com/steveoni), [Jhenner Tigreros](https://github.com/JhennerTigreros), [Aditya Zope](https://github.com/adzo261) 
 
-### Release \(v0.1.0-beta\)
+### Release (v0.1.0-beta)
 
 **Date:** 15th August 2020
 
@@ -176,5 +182,3 @@ This is a minor release for browser-based environments. We added/updated the fol
 
 **Contributors**: Rising Odegua, Stephen Oni
 
-
-

From be4ec5dc028116e9a6066a412bb4c23875beafda Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 18:55:40 +0000
Subject: [PATCH 144/202] GitBook: [#199] Update docs

---
 .../dataframe/danfo.dataframe.abs.md          |   8 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |   4 +-
 .../dataframe/danfo.dataframe.describe.md     |  34 ++---
 .../dataframe/danfo.dataframe.groupby.md      | 138 ++++++++++++++----
 .../dataframe/danfo.dataframe.query.md        |  51 +++++++
 .../dataframe/danfo.dataframe.sum.md          |  50 +++----
 6 files changed, 208 insertions(+), 77 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.abs.md b/api-reference/dataframe/danfo.dataframe.abs.md
index 303a649..83c6cd3 100644
--- a/api-reference/dataframe/danfo.dataframe.abs.md
+++ b/api-reference/dataframe/danfo.dataframe.abs.md
@@ -4,11 +4,15 @@ description: Return a DataFrame with the absolute numeric value of each element.
 
 # DataFrame.abs
 
-danfo.DataFrame.**abs**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L973)]
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
 
 **Returns:**
 
-**       **return** DataFrame**
+**       **return** Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index 2ba2b93..ef0ecc9 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -4,11 +4,11 @@ description: Add new column to a DataFrame
 
 # DataFrame.addColumn
 
-danfo.DataFrame.**addColumn**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
+danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
 
 | Parameters | Type   | Description                                                                                                                                                                                                    | Default |
 | ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| kwargs     | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
+| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
 
 **Returns:**
 
diff --git a/api-reference/dataframe/danfo.dataframe.describe.md b/api-reference/dataframe/danfo.dataframe.describe.md
index 525c51f..4dac614 100644
--- a/api-reference/dataframe/danfo.dataframe.describe.md
+++ b/api-reference/dataframe/danfo.dataframe.describe.md
@@ -37,23 +37,23 @@ df.describe().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔══════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║          │ col1              │ col2              │ col3              ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count    │ 3                 │ 3                 │ 3                 ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean     │ 120.666664        │ 62                │ 123.333336        ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std      │ 207.271159        │ 102.19589         │ 204.961785        ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min      │ 0                 │ 2                 │ 4                 ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median   │ 2                 │ 4                 │ 6                 ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max      │ 360               │ 180               │ 360               ║
-╟──────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance │ 42961.333333      │ 10444             │ 42009.333333      ║
-╚══════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 3                 │ 3                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0                 │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 2                 │ 4                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 360               │ 180               │ 360               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index 0b9dad9..a31f095 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -16,18 +16,52 @@ danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja
 
 ## **Examples**
 
-## **Select a single column from a DataFrame**
+## **Groupby a single column from a DataFrame**
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
 let cols = ["A", "B", "C"]
-let df = new DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"]);
 
-group_df.col_dict
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"])
+console.log(group_df)
+
+//GroupBy Object
+GroupBy {
+  key_col: [ 'A' ],
+  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
+  data: [
+    [ 'Pear', 2, 3 ],
+    [ 'Pear', 5, 6 ],
+    [ 'Apple', 30, 40 ],
+    [ 'Apple', 89, 78 ]
+  ],
+  column_name: [ 'A', 'B', 'C' ],
+  data_tensors: {
+    Pear: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+      '$index': [Array],
+      '$dtypes': [Array],
+      '$columns': [Array]
+    },
+    Apple: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+       ...
+      '$columns': [Array]
+    }
+  },
+  col_dtype: [ 'string' ]
+}
 ```
 {% endtab %}
 
@@ -37,34 +71,78 @@ group_df.col_dict
 {% endtab %}
 {% endtabs %}
 
+A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
+
+1. [count](danfo.dataframe.count.md)
+2. [sum](danfo.dataframe.sum.md)
+3. [std](danfo.dataframe.std.md)
+4. [var](danfo.dataframe.var.md)
+5. [mean](danfo.dataframe.mean.md)
+6. [cumsum](danfo.dataframe.cumsum.md) 
+7. [cummax](danfo.dataframe.cummax.md)
+8. [cumprod](danfo.dataframe.cumprod.md)
+9. [cummin](danfo.dataframe.cummin.md)
+10. [max](danfo.dataframe.max.md)
+11. [min](danfo.dataframe.min.md)
+
+## Example of Groupby and apply a sum function
+
 {% tabs %}
-{% tab title="Output" %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"]).sum()
+
+group_df.print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B_sum             │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 119               │ 118               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+## **Groupby a two columns from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A", "B"]).sum()
+
+group_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
 ```
-╔═══╤══════════════════════╗
-║   │ Name                 ║
-╟───┼──────────────────────╢
-║ 0 │ Apples               ║
-╟───┼──────────────────────╢
-║ 1 │ Mango                ║
-╟───┼──────────────────────╢
-║ 2 │ Banana               ║
-╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ Name                 ║
-╟───┼──────────────────────╢
-║ 0 │ Apples               ║
-╟───┼──────────────────────╢
-║ 1 │ Mango                ║
-╟───┼──────────────────────╢
-║ 2 │ Banana               ║
-╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 2                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Apple             │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference/dataframe/danfo.dataframe.query.md b/api-reference/dataframe/danfo.dataframe.query.md
index 141b642..847fbe0 100644
--- a/api-reference/dataframe/danfo.dataframe.query.md
+++ b/api-reference/dataframe/danfo.dataframe.query.md
@@ -18,6 +18,57 @@ danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/da
 
 ## **Examples**
 
+## **Query a DataFrame using boolean mask**
+
+{% hint style="info" %}
+Querying by a boolean condition is supported from v0.3.0 and above.
+{% endhint %}
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5) })
+query_df.print() //after query
+```
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Ng                │ 34                │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
 ## **Query a DataFrame using logical operators**
 
 To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against. 
diff --git a/api-reference/dataframe/danfo.dataframe.sum.md b/api-reference/dataframe/danfo.dataframe.sum.md
index 6a8125c..515788b 100644
--- a/api-reference/dataframe/danfo.dataframe.sum.md
+++ b/api-reference/dataframe/danfo.dataframe.sum.md
@@ -4,15 +4,15 @@ description: Return the sum of the values for the requested axis.
 
 # DataFrame.sum
 
-danfo.DataFrame.**sum**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
 
-| Parameters | Type   | Description                            | Default   |
-| ---------- | ------ | -------------------------------------- | --------- |
-| kwargs     | Object | {**axis**: 0 for row and 1 for column} | {axis: 1} |
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
 **Returns:**
 
-**       **return** DataFrame**
+**       **return** Series**
 
 ## **Examples**
 
@@ -43,27 +43,25 @@ df_sum.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ sum                  ║
-╟───┼──────────────────────╢
-║ A │ 37.2                 ║
-╟───┼──────────────────────╢
-║ B │ 41                   ║
-╟───┼──────────────────────╢
-║ C │ -10                  ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20.1             │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ -20               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ -20               │ 6                 │ -40               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════════════════════╗
+║ A │ 37.199999999999996 ║
+╟───┼────────────────────╢
+║ B │ 41                 ║
+╟───┼────────────────────╢
+║ C │ -10                ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}

From 2ef665f55512b9926eb6f58d54ad0fd3ebe98507 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 19:45:36 +0000
Subject: [PATCH 145/202] GitBook: [#200] Update doc

---
 SUMMARY.md                                    |   2 +-
 .../dataframe/danfo.dataframe.apply.md        | 159 ++++--------------
 .../dataframe/danfo.dataframe.column.md       |  51 +++---
 .../dataframe/danfo.dataframe.dropna.md       |  13 +-
 api-reference/dataframe/danfo.dataframe.eq.md |  16 +-
 .../dataframe/danfo.dataframe.fillna.md       |  41 +++--
 api-reference/dataframe/danfo.dataframe.ge.md |  16 +-
 api-reference/dataframe/danfo.dataframe.gt.md |  12 +-
 api-reference/dataframe/danfo.dataframe.it.md |  22 +--
 api-reference/dataframe/danfo.dataframe.le.md |  16 +-
 .../dataframe/danfo.dataframe.nanindex.md     |  60 -------
 api-reference/dataframe/danfo.dataframe.ne.md |  14 +-
 .../dataframe/danfo.dataframe.replace.md      |  37 ++--
 .../dataframe/dataframe.apply_map.md          |  68 ++++++++
 14 files changed, 226 insertions(+), 301 deletions(-)
 delete mode 100644 api-reference/dataframe/danfo.dataframe.nanindex.md
 create mode 100644 api-reference/dataframe/dataframe.apply_map.md

diff --git a/SUMMARY.md b/SUMMARY.md
index fd962ba..44764c2 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -168,9 +168,9 @@
     * [DataFrame.column](api-reference/dataframe/danfo.dataframe.column.md)
     * [DataFrame.fillna](api-reference/dataframe/danfo.dataframe.fillna.md)
     * [DataFrame.isna](api-reference/dataframe/danfo.dataframe.isna.md)
-    * [DataFrame.nanindex](api-reference/dataframe/danfo.dataframe.nanindex.md)
     * [DataFrame.dropna](api-reference/dataframe/danfo.dataframe.dropna.md)
     * [DataFrame.apply](api-reference/dataframe/danfo.dataframe.apply.md)
+    * [DataFrame.apply_map](api-reference/dataframe/dataframe.apply_map.md)
     * [DataFrame.It](api-reference/dataframe/danfo.dataframe.it.md)
     * [DataFrame.gt](api-reference/dataframe/danfo.dataframe.gt.md)
     * [DataFrame.le](api-reference/dataframe/danfo.dataframe.le.md)
diff --git a/api-reference/dataframe/danfo.dataframe.apply.md b/api-reference/dataframe/danfo.dataframe.apply.md
index 1d664dd..01fab60 100644
--- a/api-reference/dataframe/danfo.dataframe.apply.md
+++ b/api-reference/dataframe/danfo.dataframe.apply.md
@@ -1,17 +1,15 @@
 ---
-description: >-
-  Apply a function to each element or along a specified axis of a DataFrame.
-  Supports JavaScipt functions when axis is not specified, and accepts
-  Tensorflow functions when axis is specified.
+description: Apply a function to each element or along a specified axis of a DataFrame.
 ---
 
 # DataFrame.apply
 
-danfo.DataFrame.**apply**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                     | Default   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
-| kwargs     | Object | <p>{<strong>callable</strong>: Function to call on each element,</p><p><strong>axis</strong>: <em>undefined</em>: if undefined, then any JavaScript function </p><p>                            is accepted and will be applied element-wise.</p><p><em><strong>             </strong>0<strong>: </strong>Apply along</em> row/index axis</p><p><em><strong>             </strong>1</em>: Apply across columns axis</p><p>}</p> | undefined |
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
 
 **Returns:**
 
@@ -19,9 +17,11 @@ danfo.DataFrame.**apply**(kwargs) \[[source](https://github.com/opensource9ja/da
 
 ## **Examples**
 
-### Apply a JavaScript function to all elements in DataFrame
+### Apply a  function along default axis 1 (columns)
 
-The **apply** function calls a JavaScript function on every element of the DataFrame when the axis is not specified.  
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
+{% endhint %}
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,11 +32,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x + 20
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 1 })
 df_new.print()
 ```
 {% endtab %}
@@ -50,68 +50,18 @@ df_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 22                │ 23                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 24                │ 25                │ 26                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 40                │ 50                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 59                │ 109               │ 98                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [{ short_name: ["NG", "GH", "EGY", "SA"] },
-             { long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"] }]
-let df = new dfd.DataFrame(data)
-
-function lower(x) {
-    return `${x}`.toLowerCase()
-}
-
-let df_new = df.apply({ callable: lower })
-df_new.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ short_name        │ long_name         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ ng                │ nigeria           ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ gh                │ ghana             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ egy               │ eqypt             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ sa                │ south africa      ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Apply [Tensorflow](https://js.tensorflow.org/api/latest/) function element-wise
-
-You can call any compatible [Tensorflow](https://js.tensorflow.org/api/latest/) function on a DataFrame across a specified axis. For functions that operate _**element-wise**_ and returns the same shape as the original DataFrame, you must specify an axis of 0.
+### Apply a  function along  axis 0 (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,11 +72,11 @@ let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-function sum_vals(x) {
-    return x.logSigmoid()
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
 }
 
-let df_new = df.apply({axis: 0, callable: sum_vals })
+let df_new = df.apply(sum_vals, { axis: 0 })
 df_new.print()
 
 ```
@@ -141,59 +91,16 @@ df_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.3132616579...  │ -0.1269280463...  │ -0.0485873296...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.0181499607...  │ -0.0067153489...  │ -0.0024756519...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -2.0611536921...  │ -9.3576229122...  │ -4.2483541311...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -1.1548223864...  │ -2.2273639090...  │ -1.3336148713...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Apply [Tensorflow](https://js.tensorflow.org/api/latest/) function along column axis
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(x) {
-    return x.sum()
-}
-
-let df_new = df.apply({axis: 1, callable: sum_vals })
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
+╔═══╤═════╗
+║ 0 │ 6   ║
+╟───┼─────╢
+║ 1 │ 15  ║
+╟───┼─────╢
+║ 2 │ 90  ║
+╟───┼─────╢
+║ 3 │ 206 ║
+╚═══╧═════╝
 
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 64                   ║
-╟───┼──────────────────────╢
-║ B │ 126                  ║
-╟───┼──────────────────────╢
-║ C │ 127                  ║
-╚═══╧══════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.column.md b/api-reference/dataframe/danfo.dataframe.column.md
index eabb06d..2d70bfd 100644
--- a/api-reference/dataframe/danfo.dataframe.column.md
+++ b/api-reference/dataframe/danfo.dataframe.column.md
@@ -4,11 +4,11 @@ description: Return the elements of the specified column in the DataFrame
 
 # DataFrame.column
 
-danfo.DataFrame.**column**(col_name) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
+danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
 
-| Parameters | Type | Description                           | Default |
-| ---------- | ---- | ------------------------------------- | ------- |
-| col_name   | Str  | The name of a column in the DataFrame |         |
+| Parameters | Type   | Description                           | Default |
+| ---------- | ------ | ------------------------------------- | ------- |
+| column     | String | The name of a column in the DataFrame |         |
 
 **Returns:**
 
@@ -45,29 +45,26 @@ df['Name'].print() //produces the same result as above
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ Name                 ║
-╟───┼──────────────────────╢
-║ 0 │ Apples               ║
-╟───┼──────────────────────╢
-║ 1 │ Mango                ║
-╟───┼──────────────────────╢
-║ 2 │ Banana               ║
-╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ Name                 ║
-╟───┼──────────────────────╢
-║ 0 │ Apples               ║
-╟───┼──────────────────────╢
-║ 1 │ Mango                ║
-╟───┼──────────────────────╢
-║ 2 │ Banana               ║
-╟───┼──────────────────────╢
-║ 3 │ NaN                  ║
-╚═══╧══════════════════════╝
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.dropna.md b/api-reference/dataframe/danfo.dataframe.dropna.md
index cb0d5a4..81006a1 100644
--- a/api-reference/dataframe/danfo.dataframe.dropna.md
+++ b/api-reference/dataframe/danfo.dataframe.dropna.md
@@ -1,14 +1,15 @@
 ---
-description: Remove missing values (NaNs, undefined) for DataFrame
+description: Remove missing values (NaNs, undefined, null) for DataFrame
 ---
 
 # DataFrame.dropna
 
-danfo.DataFrame.**dropna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
+danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                       | Default                                                                    |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
-| kwargs     | Object | <p>{<strong>axis</strong>: <em>0<strong>: </strong>Apply along</em> row/index axis</p><p><em><strong>             </strong>1</em>: Apply across columns axis</p><p><strong>inplace</strong>:If true, perform operation inplace </p><p>              and return None.</p><p> }</p> | <p>{<strong>axis</strong>: 0, </p><p> <strong>inplace: </strong>false}</p> |
+| Parameters | Type   | Description                                                                                                                   | Default              |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
+| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
+| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace: **false} |
 
 **Returns:**
 
@@ -29,7 +30,7 @@ let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna({axis: 0})
+let df_drop = df.dropna(0)
 df_drop.print()
 ```
 {% endtab %}
diff --git a/api-reference/dataframe/danfo.dataframe.eq.md b/api-reference/dataframe/danfo.dataframe.eq.md
index be1f7ff..a43fbd0 100644
--- a/api-reference/dataframe/danfo.dataframe.eq.md
+++ b/api-reference/dataframe/danfo.dataframe.eq.md
@@ -4,16 +4,16 @@ description: Get Equal to of DataFrame and other, element-wise (binary operator
 
 # DataFrame.eq
 
-danfo.DataFrame.**eq**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
+danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
-**       **return** DataFrame**
+****
 
 ## **Examples**
 
@@ -70,7 +70,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([10,40])
 
-let df_rep = df.eq(sf, axis=1)
+let df_rep = df.eq(sf, {axis:1})
 
 df_rep.print()
 
@@ -159,7 +159,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let val = [10,40]
 
-let df_rep = df.eq(val, axis=1)
+let df_rep = df.eq(val, {axis:1})
 
 df_rep.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.fillna.md b/api-reference/dataframe/danfo.dataframe.fillna.md
index ac7cc79..49aa13d 100644
--- a/api-reference/dataframe/danfo.dataframe.fillna.md
+++ b/api-reference/dataframe/danfo.dataframe.fillna.md
@@ -6,11 +6,12 @@ description: >-
 
 # DataFrame.fillna
 
-danfo.DataFrame.**fillna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
+danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                        | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| kwargs     | Object | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns</p><p><strong>values</strong>: Array | Scalar of value(s) to fill with. </p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p> }</p> |         |
+| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
+| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
 
 **Returns:**
 
@@ -18,21 +19,26 @@ danfo.DataFrame.**fillna**(kwargs) \[[source](https://github.com/opensource9ja/d
 
 ## **Examples**
 
-### Fill NaNs in specified columns with specified values 
+### Fill missing values in specified columns with specified values 
+
+Missing values are NaN, undefined or null values
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
-            
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna({columns: ["Name", "Count"], values: ["Apples", df["Count"].mean()]})
+let values = ["Apples", df["Count"].mean()]
+let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
 df_filled.print()
 
 ```
@@ -85,12 +91,14 @@ df_filled.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Name":["Apples", "Mango", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10], 
-            "Price": [200, 300, 40, 250]}
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna({ values: ["Apples"] })
+let df_filled = df.fillna("Apples")
 
 df_filled.print()
 
@@ -128,7 +136,6 @@ df_filled.print()
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-
 let data = {
     "Name": ["Apples", "Mango", "Banana", undefined],
     "Count": [NaN, 5, NaN, 10],
@@ -136,9 +143,9 @@ let data = {
 }
 
 let df = new dfd.DataFrame(data)
-df.fillna({
+let values = ["Apples", df["Count"].mean()]
+df.fillna(values, {
     columns: ["Name", "Count"],
-    values: ["Apples", df["Count"].mean()],
     inplace: true
 })
 df.print()
diff --git a/api-reference/dataframe/danfo.dataframe.ge.md b/api-reference/dataframe/danfo.dataframe.ge.md
index ab0ea5c..3b41ec3 100644
--- a/api-reference/dataframe/danfo.dataframe.ge.md
+++ b/api-reference/dataframe/danfo.dataframe.ge.md
@@ -6,16 +6,16 @@ description: >-
 
 # DataFrame.ge
 
-danfo.DataFrame.**ge**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1616)]
+danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
-**       **return** DataFrame**
+**     DataFrame**
 
 ## **Examples**
 
@@ -74,7 +74,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([10,40])
 
-let df_rep = df.ge(sf, axis=1)
+let df_rep = df.ge(sf, {axis:1})
 
 df_rep.print()
 
@@ -164,7 +164,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let val = [10,40]
 
-let df_rep = df.ge(val, axis=1)
+let df_rep = df.ge(val, {axis:1})
 
 df_rep.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.gt.md b/api-reference/dataframe/danfo.dataframe.gt.md
index 0d6cb3c..121c7e7 100644
--- a/api-reference/dataframe/danfo.dataframe.gt.md
+++ b/api-reference/dataframe/danfo.dataframe.gt.md
@@ -4,12 +4,12 @@ description: Get Greater than of DataFrame and other, element-wise (binary opera
 
 # DataFrame.gt
 
-danfo.DataFrame.**gt**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1583)]
+danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
@@ -70,7 +70,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([10,40])
 
-let df_rep = df.gt(sf, axis=1)
+let df_rep = df.gt(sf, {axis:1})
 
 df_rep.print()
 
diff --git a/api-reference/dataframe/danfo.dataframe.it.md b/api-reference/dataframe/danfo.dataframe.it.md
index 5d5d67b..69093a2 100644
--- a/api-reference/dataframe/danfo.dataframe.it.md
+++ b/api-reference/dataframe/danfo.dataframe.it.md
@@ -4,12 +4,12 @@ description: Get Less than of DataFrame and other, element-wise (binary operator
 
 # DataFrame.It
 
-danfo.DataFrame.l**t**(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
@@ -65,12 +65,14 @@ df_rep.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-           "Col2": [23, 20, 10, 24]}
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
+let sf = new dfd.Series([10, 40])
 
-let df_rep = df.lt(sf, axis=1)
+let df_rep = df.lt(sf, { axis: 1 })
 
 df_rep.print()
 
@@ -148,7 +150,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing** **DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.le.md b/api-reference/dataframe/danfo.dataframe.le.md
index 9b86440..0b88ff1 100644
--- a/api-reference/dataframe/danfo.dataframe.le.md
+++ b/api-reference/dataframe/danfo.dataframe.le.md
@@ -6,12 +6,12 @@ description: >-
 
 # DataFrame.le
 
-danfo.DataFrame.le(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
+danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
@@ -74,7 +74,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([10,40])
 
-let df_rep = df.le(sf, axis=1)
+let df_rep = df.le(sf, {axis:1})
 
 df_rep.print()
 
@@ -151,7 +151,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing** **DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
@@ -163,7 +163,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let val = [10,40]
 
-let df_rep = df.le(val, axis=1)
+let df_rep = df.le(val, {axis:1})
 
 df_rep.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.nanindex.md b/api-reference/dataframe/danfo.dataframe.nanindex.md
deleted file mode 100644
index 31db040..0000000
--- a/api-reference/dataframe/danfo.dataframe.nanindex.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Returns array of index with missing values
----
-
-# DataFrame.nanindex
-
-danfo.DataFrame.**nanIndex**\(\) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1410)\]
-
-**Returns:**
-
-```text
-   ****return **Array**
-```
-
-## **Examples**
-
-### Drop rows \(axis=0\) with missing values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-console.log(df.nanIndex());
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```text
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ NaN               │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ NaN               │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ NaN               │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-[ 1, 2, 3 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.ne.md b/api-reference/dataframe/danfo.dataframe.ne.md
index 8dfddc9..1996400 100644
--- a/api-reference/dataframe/danfo.dataframe.ne.md
+++ b/api-reference/dataframe/danfo.dataframe.ne.md
@@ -4,16 +4,16 @@ description: Get Not Equal to of DataFrame and other, element-wise (binary opera
 
 # DataFrame.ne
 
-danfo.DataFrame.ne(other, axis) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1633)]
+danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
-| Parameters | Type                             | Description                                             | Default |
-| ---------- | -------------------------------- | ------------------------------------------------------- | ------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against |         |
-| axis       | Int                              | Whether to compare by the index (0) or columns (1).     | 0       |
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
-**       **return** DataFrame**
+****
 
 ## **Examples**
 
@@ -70,7 +70,7 @@ let data = {"Col1": [10, 45, 56, 10],
 let df = new dfd.DataFrame(data)
 let sf = new dfd.Series([10,40])
 
-let df_rep = df.ne(sf, axis=1)
+let df_rep = df.ne(sf, {axis:1})
 
 df_rep.print()
 
diff --git a/api-reference/dataframe/danfo.dataframe.replace.md b/api-reference/dataframe/danfo.dataframe.replace.md
index e4dae64..9a0b39f 100644
--- a/api-reference/dataframe/danfo.dataframe.replace.md
+++ b/api-reference/dataframe/danfo.dataframe.replace.md
@@ -4,11 +4,13 @@ description: Replaces values in a DataFrame with specified values
 
 # DataFrame.replace
 
-> danfo.DataFrame.**replace**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
+> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                        | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| kwargs     | Object | <p> {<strong>replace: </strong>int, float, str.<strong> </strong>The value to replace.</p><p>  <strong>with</strong>: Int, float, str. The new value to replace with.</p><p>  <strong>in: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p>}</p> |         |
+| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
+| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
+| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
+| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
+| options    | Object                  | <p><strong>columns: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
 
 **Returns:**
 
@@ -23,11 +25,13 @@ description: Replaces values in a DataFrame with specified values
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
 
-let df_rep = df.replace({ "replace": 10, "with": -999, "in": ["Col1"] })
+let df_rep = df.replace(10, -999, { columns: ["Col1"] })
 
 df_rep.print()
  
@@ -64,13 +68,12 @@ By not specifying a** **column**, **the** **replace works on all columns ** **
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-const dfd = require("danfojs-js")
-
+const dfd = require("danfojs-node")
 
 let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
 let df = new dfd.DataFrame(data)
 //replace value in all column
-let df_rep = df.replace({ "replace": "A", "with": "boy" })
+let df_rep = df.replace("A", "BOY")
 
 df_rep.print()
 
@@ -87,13 +90,13 @@ df_rep.print()
 {% tab title="Output" %}
 ```javascript
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ boy               │ boy               │ boy               │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ B                 │ C                 │ C                 │ D                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ B                 │ C                 │ C                 │ D                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/dataframe.apply_map.md b/api-reference/dataframe/dataframe.apply_map.md
new file mode 100644
index 0000000..986566f
--- /dev/null
+++ b/api-reference/dataframe/dataframe.apply_map.md
@@ -0,0 +1,68 @@
+---
+description: Apply a function to a Dataframe values element-wise.
+---
+
+# DataFrame.apply_map
+
+danfo.DataFrame.**apply_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Apply a  function to all values in a DataFrame
+
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function. 
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    short_name: ["NG", "GH", "EGY", "SA"],
+    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
+}
+let df = new dfd.DataFrame(data)
+
+function lower(x) {
+    return `${x}`.toLowerCase()
+}
+
+let df_new = df.apply_map(lower)
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ short_name        │ long_name         ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ ng                │ nigeria           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ gh                │ ghana             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ egy               │ eqypt             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ sa                │ south africa      ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}

From 1c69e67c4355e2a71f657026d158592048a5e3c3 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 21:05:06 +0100
Subject: [PATCH 146/202] Update version number

---
 .../dataframe/creating-a-dataframe.md         |  8 +--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  2 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/box-plots.md           |  6 +-
 .../plotting/configuring-your-plots.md        |  2 +-
 api-reference/plotting/histograms.md          |  4 +-
 api-reference/plotting/line-charts.md         |  6 +-
 api-reference/plotting/pie-charts.md          |  6 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/tables.md              |  4 +-
 api-reference/plotting/timeseries-plots.md    |  2 +-
 api-reference/plotting/violin-plots.md        |  6 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 64 +++++++++++--------
 release-notes.md                              |  2 +-
 21 files changed, 74 insertions(+), 66 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index dd9931b..0228131 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -75,7 +75,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -178,7 +178,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -256,7 +256,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 655b7e8..ee31a5e 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -47,7 +47,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index f6082a0..59f7e34 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -60,7 +60,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 030ccb7..79644f3 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -69,7 +69,7 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -110,7 +110,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index fe3453a..459aa30 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -44,7 +44,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 6566efe..85412ea 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -64,7 +64,7 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -103,7 +103,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index 06e7f95..5bd4105 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -47,7 +47,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 6ec9f70..80eaa04 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index a946ebe..aee82cd 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -20,7 +20,7 @@ The **bar** plot is exposed by the .**plot\(\)** function called on a Series or
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -51,7 +51,7 @@ The **bar** plot is exposed by the .**plot\(\)** function called on a Series or
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/box-plots.md b/api-reference/plotting/box-plots.md
index 8f73a43..8a6e490 100644
--- a/api-reference/plotting/box-plots.md
+++ b/api-reference/plotting/box-plots.md
@@ -18,7 +18,7 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -49,7 +49,7 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -87,7 +87,7 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/configuring-your-plots.md b/api-reference/plotting/configuring-your-plots.md
index 359a802..7d96b4d 100644
--- a/api-reference/plotting/configuring-your-plots.md
+++ b/api-reference/plotting/configuring-your-plots.md
@@ -12,7 +12,7 @@ For example in the following code, we show how to set some basic configuration a
 
 <head>
     <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 
 </head>
 
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index fb63b24..12497e3 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -20,7 +20,7 @@ In the example below, we use the titanic dataset, to show a close to a real-worl
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -57,7 +57,7 @@ In the example below, we use the titanic dataset, to show a close to a real-worl
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 073e173..73326f4 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -20,7 +20,7 @@ The **line** plot is exposed by the .**plot()** function called on a Series or D
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -53,7 +53,7 @@ The example below shows the plot of column values against a common x-axis (index
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -85,7 +85,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 73278d1..c355bcb 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -18,7 +18,7 @@ A pie plot is a proportional representation of the numerical data in a column
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -54,7 +54,7 @@ A pie plot is a proportional representation of the numerical data in a column
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -93,7 +93,7 @@ If you have more than one pie charts displayed, you can set the grid parameter,
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index a05de5d..739a49f 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -20,7 +20,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -57,7 +57,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/tables.md b/api-reference/plotting/tables.md
index 83bf86c..efa1fbb 100644
--- a/api-reference/plotting/tables.md
+++ b/api-reference/plotting/tables.md
@@ -16,7 +16,7 @@ description: Turn DataFrame/Series in D3.js-based tables
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -57,7 +57,7 @@ To configure the header and cell of a table, you can pass header/cell styles to
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index e910f57..7bbb089 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -16,7 +16,7 @@ In the example below, we plot the yearly trend of a financial dataset. First, we
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 9b55644..e0c1c8f 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -14,7 +14,7 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -45,7 +45,7 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -83,7 +83,7 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index dd16a93..3c8e4ba 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -62,7 +62,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -119,7 +119,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index 5e92af5..438fddd 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -33,7 +33,7 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -61,7 +61,7 @@ const dfd = require("danfojs-node")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.1/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -100,7 +100,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -161,7 +161,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -222,7 +222,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -270,7 +270,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -348,7 +348,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -439,7 +439,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -542,7 +542,7 @@ console.log(df.columns);
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -610,7 +610,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -690,7 +690,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -763,7 +763,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -833,7 +833,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1202,7 +1202,7 @@ query_df.print() //after query
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1254,31 +1254,38 @@ query_df.print() //after query
 The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
 
 ```javascript
-let data = [{"A": ["Ng", "Yu", "Mo", "Ng"]},
-            {"B": [34, 4, 5, 6]}, 
-             {"C": [20, 20, 30, 40]}]
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
 let df = new dfd.DataFrame(data)
 
 let query_df = df.query({ condition: df["B"].gt(5) })
-query_df.print() //after query
+query_df.print()
 ```
 
 ```
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
+║ 0          │ Ng                │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
+║ 3          │ Ng                │ 6                 │ 40                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Querying by a boolean condition is supported from v0.3.0 and above. It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
 
 ```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
 let query_df = df.query({
     condition:
-        df["B"].gt(5).and(df["A"].lt(30))
+        df["B"].gt(5).and(df["C"].lt(30))
 })
 query_df.print() //after query
 
@@ -1286,9 +1293,10 @@ query_df.print() //after query
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
+║ 0          │ Ng                │ 34                │ 20                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
+
 ```
 
 #### Adding a new column
@@ -1323,7 +1331,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1412,7 +1420,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1631,7 +1639,7 @@ df.mean().print() //defaults to column axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2253,7 +2261,7 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2300,7 +2308,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2393,7 +2401,7 @@ dfd.read_csv("file:///home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 34a3249..e58b398 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -92,7 +92,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.3/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From 2775ddea75a26f7f378f0cdcda396a0c947fe44e Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 20:16:52 +0000
Subject: [PATCH 147/202] GitBook: No commit message

---
 release-notes.md | 45 +++++++++++++++++++++++++--------------------
 1 file changed, 25 insertions(+), 20 deletions(-)

diff --git a/release-notes.md b/release-notes.md
index e58b398..a954ab0 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,12 +1,18 @@
 # Release Notes
 
-### \[LATEST] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.3.2), Browser (0.3.2)
+### \[LATEST] Release Node (v0.3.3), Browser (0.3.3)
+
+**Date:** 10th Oct 2021
+
+Minor patch update
+
+### \[LATEST] ReleaseNode (v0.3.2), Browser (0.3.2)
 
 **Date:** 2nd Oct 2021
 
-Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis. 
+Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis.
 
-### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.3.1), Browser (0.3.1)
+### ReleaseNode (v0.3.1), Browser (0.3.1)
 
 **Date:** 1st Oct 2021
 
@@ -21,17 +27,17 @@ Minor patch update for column name display after aggregation functions like sum,
 * Add loc indexing support for Series
 * Add configuration support for formating DataFrame display in the console
 * New DataFrame `applyMap` function for element-wise apply function
-* `and` and `or` logical comparison support. E.g \
-       `df.loc({`\
-         `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
+* `and` and `or` logical comparison support. E.g\
+  `df.loc({`\
+  `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
   `})`
 * `read_csv` now uses [Papaparse](https://www.papaparse.com) and supports config values for headers, separator, etc.
-* `to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output. 
+* `to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output.
 * `read_json` now supports config values for headers, authentication, separator, etc.
-* `read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options. 
-* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g \
+* `read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options.
+* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g\
   `df.query({`\
-    `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60)) `\
+  `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
   `})`
 
 **Bug Fixes**
@@ -43,9 +49,9 @@ Minor patch update for column name display after aggregation functions like sum,
 * Fix loc slicing bug for row index with string labels
 * DataFrame apply function now works only across a specified axis
 
-Contributors [@risenW](https://github.com/risenW) 
+Contributors [@risenW](https://github.com/risenW)
 
-### \[LATEST] Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.2.7), Browser (0.2.6)
+### \[LATEST] ReleaseNode (v0.2.7), Browser (0.2.6)
 
 **Date:** 30th May 2021
 
@@ -54,12 +60,12 @@ Contributors [@risenW](https://github.com/risenW)
 
 Contributors [@risenW](https://github.com/risenW) [@steveoni](https://github.com/steveoni) [@jpjagt](https://github.com/jpjagt) [@sponsfreixes](https://github.com/sponsfreixes) [@bherbruck](https://github.com/bherbruck) [@woosuk288](https://github.com/woosuk288) and [@adithyaakrishna](https://github.com/adithyaakrishna)
 
-### Release [ ](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.3)Node (v0.2.6), Browser (0.2.5)
+### ReleaseNode (v0.2.6), Browser (0.2.5)
 
 **Date:** 29th March 2021
 
-* \[Bug Fixes]: [#150](https://github.com/opensource9ja/danfojs/pull/150) [#152 ](https://github.com/opensource9ja/danfojs/pull/152)
-* \[Patches] [#159](https://github.com/opensource9ja/danfojs/pull/159) , [#158 ](https://github.com/opensource9ja/danfojs/pull/158)
+* \[Bug Fixes]: [#150](https://github.com/opensource9ja/danfojs/pull/150) [#152](https://github.com/opensource9ja/danfojs/pull/152)
+* \[Patches] [#159](https://github.com/opensource9ja/danfojs/pull/159) , [#158](https://github.com/opensource9ja/danfojs/pull/158)
 * \[Feature] [#154](https://github.com/opensource9ja/danfojs/pull/154) Perform groupby operation on grouped columns directly:
 
 ```javascript
@@ -81,7 +87,7 @@ We added/updated the following features:
 
 * Fix error thrown when danfojs CDN is placed in an HTML header
 * Smaller bundle size for browser: From \~1.7mb to about \~550kb
-* Stopped bundling Danfojs with Plotly. This means that as of v0.2.3, we no longer ship with Plotly distribution due to the huge size. Plotly plots are still supported, but in order to make them, you have to explicitly add the Plotly CDN or package. 
+* Stopped bundling Danfojs with Plotly. This means that as of v0.2.3, we no longer ship with Plotly distribution due to the huge size. Plotly plots are still supported, but in order to make them, you have to explicitly add the Plotly CDN or package.
 
 A simple example:
 
@@ -126,13 +132,13 @@ A simple example:
 </html>
 ```
 
-### Release [ (v0.2.2)](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.2)
+### Release [(v0.2.2)](https://github.com/opensource9ja/danfojs/releases/tag/v0.2.2)
 
 **Date:** 14th February 2021
 
 We added/updated the following features:
 
-* Fix babel runtime issue in node version 
+* Fix babel runtime issue in node version
 * Smaller size in browser version in this version. From \~8mb to about \~5mb
 * Fix browser tag issue and returns back to specific versioning instead of @latest
 * Danfojs now ships with an exported version of tensorflowjs-node (2.8.5). This fixes the double dependency issue when building ML models, as you no longer need to install/import tensorflowjs separately.
@@ -164,7 +170,7 @@ We added/updated the following features:
 * Add [sort_index](api-reference/dataframe/dataframe.sort_index.md) function to DataFrame and Series (New feature)
 * Minor patch and overall optimizations (Fix)
 
-**Contributors**: [Rising Odegua](https://github.com/risenW), [Stephen Oni](https://github.com/steveoni), [Jhenner Tigreros](https://github.com/JhennerTigreros), [Aditya Zope](https://github.com/adzo261) 
+**Contributors**: [Rising Odegua](https://github.com/risenW), [Stephen Oni](https://github.com/steveoni), [Jhenner Tigreros](https://github.com/JhennerTigreros), [Aditya Zope](https://github.com/adzo261)
 
 ### Release (v0.1.0-beta)
 
@@ -181,4 +187,3 @@ This is a minor release for browser-based environments. We added/updated the fol
 * Fixed upper bound bug in indexing
 
 **Contributors**: Rising Odegua, Stephen Oni
-

From 211d2d2fe3c1f4bfdba7264698772b2f634dc75d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 20:18:32 +0000
Subject: [PATCH 148/202] GitBook: No commit message

---
 release-notes.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/release-notes.md b/release-notes.md
index a954ab0..e4ad9a3 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -6,13 +6,13 @@
 
 Minor patch update
 
-### \[LATEST] ReleaseNode (v0.3.2), Browser (0.3.2)
+### Release- Node (v0.3.2), Browser (0.3.2)
 
 **Date:** 2nd Oct 2021
 
 Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis.
 
-### ReleaseNode (v0.3.1), Browser (0.3.1)
+### Release Node (v0.3.1), Browser (0.3.1)
 
 **Date:** 1st Oct 2021
 

From 04ac423518c88c7e563c2ae5754dead9fb42dad1 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 10 Oct 2021 20:18:43 +0000
Subject: [PATCH 149/202] GitBook: [#203] Update release note

---
 release-notes.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/release-notes.md b/release-notes.md
index e4ad9a3..36ef577 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -6,13 +6,13 @@
 
 Minor patch update
 
-### Release- Node (v0.3.2), Browser (0.3.2)
+### Release - Node (v0.3.2), Browser (0.3.2)
 
 **Date:** 2nd Oct 2021
 
 Minor patch update for column name display after aggregation functions like sum, mean, var, are applied to a column axis.
 
-### Release Node (v0.3.1), Browser (0.3.1)
+### Release - Node (v0.3.1), Browser (0.3.1)
 
 **Date:** 1st Oct 2021
 

From 449fbcec5f6e5cc4ca643bbf5692c93ee3f8c673 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Tue, 12 Oct 2021 11:57:27 +0000
Subject: [PATCH 150/202] GitBook: [#204] Update date time doc

---
 api-reference/general-functions/danfo.to_datetime.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 6112004..97ad1d7 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -25,7 +25,7 @@ let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
 let sf = new dfd.Series(data)
 sf.print()
 
-let dt = dfd.toDateTime({data:sf})
+let dt = dfd.toDateTime(data)
 
 dt.month().print()
 dt.month_name().print()

From f3789c51d4735086baf85c6b612e729ed5a21215 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 5 Dec 2021 19:24:04 +0000
Subject: [PATCH 151/202] GitBook: [#205] Update datetime name

---
 SUMMARY.md                                    | 50 +++++++++----------
 .../general-functions/danfo.to_datetime.md    |  6 +--
 2 files changed, 28 insertions(+), 28 deletions(-)

diff --git a/SUMMARY.md b/SUMMARY.md
index 44764c2..43e65db 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -4,22 +4,22 @@
 * [Getting Started](getting-started.md)
 * [API reference](api-reference/README.md)
   * [General Functions](api-reference/general-functions/README.md)
-    * [danfo.date_range](api-reference/general-functions/danfo.date_range.md)
+    * [danfo.date\_range](api-reference/general-functions/danfo.date\_range.md)
     * [danfo.OneHotEncoder](api-reference/general-functions/danfo.onehotencoder.md)
     * [danfo.StandardScaler](api-reference/general-functions/danfo.standardscaler.md)
     * [danfo.MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md)
     * [danfo.LabelEncoder](api-reference/general-functions/danfo.labelencoder.md)
-    * [danfo.to_datetime](api-reference/general-functions/danfo.to_datetime.md)
-    * [danfo.get_dummies](api-reference/general-functions/danfo.get_dummies.md)
+    * [danfo.toDateTime](api-reference/general-functions/danfo.to\_datetime.md)
+    * [danfo.get\_dummies](api-reference/general-functions/danfo.get\_dummies.md)
     * [danfo.concat](api-reference/general-functions/danfo.concat.md)
     * [danfo.merge](api-reference/general-functions/danfo.merge.md)
   * [Input/Output](api-reference/input-output/README.md)
-    * [danfo.read_excel](api-reference/input-output/danfo.read_excel.md)
-    * [danfo.read_json](api-reference/input-output/danfo.read_json.md)
-    * [danfo.read_csv](api-reference/input-output/danfo.read_csv.md)
-    * [danfo.to_csv](api-reference/input-output/danfo.to_csv.md)
-    * [danfo.to_excel](api-reference/input-output/danfo.to_excel.md)
-    * [danfo.to_json](api-reference/input-output/danfo.to_json.md)
+    * [danfo.read\_excel](api-reference/input-output/danfo.read\_excel.md)
+    * [danfo.read\_json](api-reference/input-output/danfo.read\_json.md)
+    * [danfo.read\_csv](api-reference/input-output/danfo.read\_csv.md)
+    * [danfo.to\_csv](api-reference/input-output/danfo.to\_csv.md)
+    * [danfo.to\_excel](api-reference/input-output/danfo.to\_excel.md)
+    * [danfo.to\_json](api-reference/input-output/danfo.to\_json.md)
   * [Series](api-reference/series/README.md)
     * [Creating a Series](api-reference/series/creating-a-series.md)
     * [Series.append](api-reference/series/series.append.md)
@@ -50,7 +50,7 @@
     * [Series.dt.seconds](api-reference/series/series.dt.second.md)
     * [Series.dt.minutes](api-reference/series/series.dt.minute.md)
     * [Series.dt.monthday](api-reference/series/series.dt.monthday.md)
-    * [Series.dt.month_name](api-reference/series/series.dt.month_name.md)
+    * [Series.dt.month\_name](api-reference/series/series.dt.month\_name.md)
     * [Series.dt.hour](api-reference/series/series.dt.hour.md)
     * [Series.dt.weekdays](api-reference/series/series.dt.weekdays.md)
     * [Series.dt.day](api-reference/series/series.dt.day.md)
@@ -63,8 +63,8 @@
     * [Series.isna](api-reference/series/series.isna.md)
     * [Series.fillna](api-reference/series/series.fillna.md)
     * [Series.dropna](api-reference/series/series.dropna.md)
-    * [Series.drop_duplicates](api-reference/series/series.drop_duplicates.md)
-    * [Series.value_counts](api-reference/series/series.value_counts.md)
+    * [Series.drop\_duplicates](api-reference/series/series.drop\_duplicates.md)
+    * [Series.value\_counts](api-reference/series/series.value\_counts.md)
     * [Series.nunique](api-reference/series/series.nunique.md)
     * [Series.unique](api-reference/series/series.unique.md)
     * [Series.abs](api-reference/series/series.abs.md)
@@ -84,11 +84,11 @@
     * [Series.index](api-reference/series/series.index.md)
     * [Series.apply](api-reference/series/series.apply.md)
     * [Series.map](api-reference/series/series.map.md)
-    * [Series.set_index](api-reference/series/series.set_index.md)
-    * [Series.reset_index](api-reference/series/series.reset_index.md)
+    * [Series.set\_index](api-reference/series/series.set\_index.md)
+    * [Series.reset\_index](api-reference/series/series.reset\_index.md)
     * [Series.describe](api-reference/series/series.describe.md)
     * [Series.copy](api-reference/series/series.copy.md)
-    * [Series.sort_values](api-reference/series/series.sort_values.md)
+    * [Series.sort\_values](api-reference/series/series.sort\_values.md)
     * [Series.var](api-reference/series/series.var.md)
     * [Series.std](api-reference/series/series.std.md)
     * [Series.round](api-reference/series/series.round.md)
@@ -114,17 +114,17 @@
     * [Series.or](api-reference/series/series.or.md)
   * [Dataframe](api-reference/dataframe/README.md)
     * [Creating a DataFrame](api-reference/dataframe/creating-a-dataframe.md)
-    * [DataFrame.sort_index](api-reference/dataframe/dataframe.sort_index.md)
+    * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort\_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
     * [DataFrame.nunique](api-reference/dataframe/dataframe.nunique-1.md)
     * [DataFrame.tensor](api-reference/dataframe/dataframe.tensor.md)
     * [DataFrame.print](api-reference/dataframe/dataframe.print.md)
-    * [DataFrame.to_csv](api-reference/dataframe/dataframe.to_csv.md)
-    * [DataFrame.to_json](api-reference/dataframe/dataframe.to_json.md)
-    * [DataFrame.to_excel](api-reference/dataframe/dataframe.to_excel.md)
-    * [DataFrame.sort_values](api-reference/dataframe/dataframe.sort_values.md)
-    * [DataFrame.set_index](api-reference/dataframe/dataframe.set_index.md)
-    * [DataFrame.reset_index](api-reference/dataframe/dataframe.reset_index.md)
+    * [DataFrame.to\_csv](api-reference/dataframe/dataframe.to\_csv.md)
+    * [DataFrame.to\_json](api-reference/dataframe/dataframe.to\_json.md)
+    * [DataFrame.to\_excel](api-reference/dataframe/dataframe.to\_excel.md)
+    * [DataFrame.sort\_values](api-reference/dataframe/dataframe.sort\_values.md)
+    * [DataFrame.set\_index](api-reference/dataframe/dataframe.set\_index.md)
+    * [DataFrame.reset\_index](api-reference/dataframe/dataframe.reset\_index.md)
     * [DataFrame.rename](api-reference/dataframe/dataframe.rename.md)
     * [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
     * [DataFrame.astype](api-reference/dataframe/dataframe.astype.md)
@@ -132,7 +132,7 @@
     * [DataFrame.axis](api-reference/dataframe/dataframe.axes.md)
     * [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
     * [DataFrame.values](api-reference/dataframe/dataframe.values.md)
-    * [DataFrame.select_dtypes](api-reference/dataframe/dataframe.select_dtypes.md)
+    * [DataFrame.select\_dtypes](api-reference/dataframe/dataframe.select\_dtypes.md)
     * [DataFrame.ctypes](api-reference/dataframe/dataframe.dtypes.md)
     * [DataFrame.index](api-reference/dataframe/dataframe.index.md)
     * [DataFrame.loc](api-reference/dataframe/danfo.dataframe.loc.md)
@@ -170,7 +170,7 @@
     * [DataFrame.isna](api-reference/dataframe/danfo.dataframe.isna.md)
     * [DataFrame.dropna](api-reference/dataframe/danfo.dataframe.dropna.md)
     * [DataFrame.apply](api-reference/dataframe/danfo.dataframe.apply.md)
-    * [DataFrame.apply_map](api-reference/dataframe/dataframe.apply_map.md)
+    * [DataFrame.apply\_map](api-reference/dataframe/dataframe.apply\_map.md)
     * [DataFrame.It](api-reference/dataframe/danfo.dataframe.it.md)
     * [DataFrame.gt](api-reference/dataframe/danfo.dataframe.gt.md)
     * [DataFrame.le](api-reference/dataframe/danfo.dataframe.le.md)
@@ -191,7 +191,7 @@
     * [Line Charts](api-reference/plotting/line-charts.md)
     * [Configuring your plots](api-reference/plotting/configuring-your-plots.md)
   * [Groupby](api-reference/groupby/README.md)
-    * [Groupby.get_groups](api-reference/groupby/groupby.get_groups.md)
+    * [Groupby.get\_groups](api-reference/groupby/groupby.get\_groups.md)
     * [Groupby.col](api-reference/groupby/groupby.col.md)
     * [Groupby.max](api-reference/groupby/groupby.max.md)
     * [Groupby.min](api-reference/groupby/groupby.min.md)
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 97ad1d7..7012100 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -2,9 +2,9 @@
 description: Converts an array of Date time string to Date object.
 ---
 
-# danfo.to_datetime
+# danfo.toDateTime
 
-danfo.**to_datetime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 | Parameters | Type          | Description                                                                                                       | Default |
 | ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
@@ -12,7 +12,7 @@ danfo.**to_datetime**(data) \[[source](https://github.com/opensource9ja/danfojs/
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 

From 685b7076b7cfcd31f1853a1d5b215675e325fe14 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 5 Dec 2021 21:31:18 +0000
Subject: [PATCH 152/202] GitBook: [#207] Update query page

---
 .../dataframe/danfo.dataframe.query.md         | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/api-reference/dataframe/danfo.dataframe.query.md b/api-reference/dataframe/danfo.dataframe.query.md
index 847fbe0..129c8e7 100644
--- a/api-reference/dataframe/danfo.dataframe.query.md
+++ b/api-reference/dataframe/danfo.dataframe.query.md
@@ -1,24 +1,24 @@
 ---
 description: >-
-  Query the DataFrame by the result of a logical comparison. Supports logical
-  operations like (">", "<", ">=", "<=", and. "==")
+  Query the DataFrame by the result of a logical comparison or boolean mask.
+  Supports logical operations like (">", "<", ">=", "<=", and. "==")
 ---
 
 # DataFrame.query
 
 danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                               | Default              |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- |
-| kwargs     | Object | <p>{<strong>column</strong> : str, name of the column </p><p><strong> is: </strong>Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
+| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
 
 **Returns:**
 
-**       **return** new DataFrame**
+&#x20;      ****       return **new DataFrame**
 
 ## **Examples**
 
-## **Query a DataFrame using boolean mask**
+## **Query a DataFrame using a boolean mask**
 
 {% hint style="info" %}
 Querying by a boolean condition is supported from v0.3.0 and above.
@@ -71,7 +71,7 @@ query_df.print() //after query
 
 ## **Query a DataFrame using logical operators**
 
-To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against. 
+To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -177,7 +177,7 @@ query_df.print() //after query
 
 ## **Query by a string column in a DataFrame**
 
-The query method also works on string columns. 
+The query method also works on string columns.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}

From cd6d216b721bd178e45bc855698faff22724d4fb Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 5 Dec 2021 21:34:19 +0000
Subject: [PATCH 153/202] GitBook: [#208] update getting started

---
 README.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/README.md b/README.md
index 0c09b3c..1d1d31c 100644
--- a/README.md
+++ b/README.md
@@ -7,26 +7,26 @@ description: >-
 
 # Danfo.js Documentation
 
-D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js. **
+D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.**&#x20;
 
 ## Main Features
 
-* Danfo.js is fast. It is built on[ Tensorflow.js](https://js.tensorflow.org), and supports tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa. 
-* Easy handling of missing** **data (represented as `NaN`) in floating point as well as non-floating point data
+* Danfo.js is fast and supports[ Tensorflow.js](https://js.tensorflow.org)'s tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa.&#x20;
+* Easy handling of missing **** data (represented as `NaN`) in floating point as well as non-floating point data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
 * Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
 * Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
 * Intelligent label-based slicing, fancy indexing, and querying of large data sets
 * Intuitive [merging](api-reference/general-functions/danfo.merge.md) and [joining](api-reference/general-functions/danfo.concat.md) data sets
-* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read_csv.md) (CSV and delimited), Excel, and JSON data format.
+* Robust IO tools for loading data from [flat-files](api-reference/input-output/danfo.read\_csv.md) (CSV and delimited), Excel, and JSON data format.
 * Powerful, flexible, and intiutive API for [plotting](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MESZnq3\_VBU0EW71MxS/api-reference/plotting) DataFrames and Series interactively.
 * Timeseries-specific functionality: date range generation and date and time properties.
 * Robust data preprocessing functions like [OneHotEncoders](api-reference/general-functions/danfo.onehotencoder.md), [LabelEncoders](api-reference/general-functions/danfo.labelencoder.md), and scalers like [StandardScaler](api-reference/general-functions/danfo.standardscaler.md) and [MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md) are supported on DataFrame and Series
 
 ## Getting Started
 
-New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's _main concepts and links to additional content.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
 
 {% content-ref url="getting-started.md" %}
 [getting-started.md](getting-started.md)
@@ -34,7 +34,7 @@ New to Danfo? Check out the getting started guides. It contains a quick introduc
 
 ## **API Reference**
 
-The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used. 
+The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used.&#x20;
 
 {% content-ref url="api-reference/" %}
 [api-reference](api-reference/)
@@ -54,7 +54,7 @@ The reference guide contains a detailed description of the **danfo** API. The re
 
 ## Contributing Guide
 
-Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process. 
+Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process.&#x20;
 
 {% content-ref url="contributing-guide.md" %}
 [contributing-guide.md](contributing-guide.md)

From f0de80466cd1de8a28fbf5e7b6e3529cc03f2357 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 2 Jan 2022 20:30:27 +0100
Subject: [PATCH 154/202] Duplicate new page for stable release doc

---
 api-reference-v1-stable/README.md             |  54 +++
 .../configuration-options.md                  | 128 +++++
 api-reference-v1-stable/dataframe/README.md   | 145 ++++++
 .../dataframe/creating-a-dataframe.md         | 355 ++++++++++++++
 .../dataframe/danfo.dataframe.abs.md          |  74 +++
 .../dataframe/danfo.dataframe.add.md          | 246 ++++++++++
 .../dataframe/danfo.dataframe.addcolumn.md    | 118 +++++
 .../dataframe/danfo.dataframe.apply.md        | 106 ++++
 .../dataframe/danfo.dataframe.column.md       |  72 +++
 .../dataframe/danfo.dataframe.copy.md         |  53 ++
 .../dataframe/danfo.dataframe.count.md        | 100 ++++
 .../dataframe/danfo.dataframe.cummax.md       |  99 ++++
 .../dataframe/danfo.dataframe.cummin.md       |  99 ++++
 .../dataframe/danfo.dataframe.cumprod.md      |  99 ++++
 .../dataframe/danfo.dataframe.cumsum.md       |  99 ++++
 .../dataframe/danfo.dataframe.describe.md     |  61 +++
 .../dataframe/danfo.dataframe.div.md          | 254 ++++++++++
 .../dataframe/danfo.dataframe.dropna.md       |  96 ++++
 .../dataframe/danfo.dataframe.eq.md           | 190 ++++++++
 .../dataframe/danfo.dataframe.fillna.md       | 178 +++++++
 .../dataframe/danfo.dataframe.ge.md           | 195 ++++++++
 .../dataframe/danfo.dataframe.groupby.md      | 148 ++++++
 .../dataframe/danfo.dataframe.gt.md           | 191 ++++++++
 .../dataframe/danfo.dataframe.head.md         |  53 ++
 .../dataframe/danfo.dataframe.iloc.md         | 331 +++++++++++++
 .../dataframe/danfo.dataframe.isna.md         |  54 +++
 .../dataframe/danfo.dataframe.it.md           | 194 ++++++++
 .../dataframe/danfo.dataframe.le.md           | 194 ++++++++
 .../dataframe/danfo.dataframe.loc.md          | 367 ++++++++++++++
 .../dataframe/danfo.dataframe.max.md          | 118 +++++
 .../dataframe/danfo.dataframe.mean.md         | 120 +++++
 .../dataframe/danfo.dataframe.median.md       | 120 +++++
 .../dataframe/danfo.dataframe.min.md          | 120 +++++
 .../dataframe/danfo.dataframe.mod.md          | 258 ++++++++++
 .../dataframe/danfo.dataframe.mul.md          | 252 ++++++++++
 .../dataframe/danfo.dataframe.ne.md           | 187 ++++++++
 .../dataframe/danfo.dataframe.pow.md          | 260 ++++++++++
 .../dataframe/danfo.dataframe.query.md        | 278 +++++++++++
 .../dataframe/danfo.dataframe.replace.md      | 102 ++++
 .../dataframe/danfo.dataframe.round.md        | 128 +++++
 .../dataframe/danfo.dataframe.sample.md       | 112 +++++
 .../dataframe/danfo.dataframe.std.md          |  94 ++++
 .../dataframe/danfo.dataframe.sub.md          | 250 ++++++++++
 .../dataframe/danfo.dataframe.sum.md          | 121 +++++
 .../dataframe/danfo.dataframe.tail.md         |  53 ++
 .../dataframe/danfo.dataframe.var.md          |  94 ++++
 .../dataframe/dataframe.append.md             |  75 +++
 .../dataframe/dataframe.apply_map.md          |  68 +++
 .../dataframe/dataframe.astype.md             | 222 +++++++++
 .../dataframe/dataframe.axes.md               |  47 ++
 .../dataframe/dataframe.drop.md               | 143 ++++++
 .../dataframe/dataframe.dtypes.md             | 100 ++++
 .../dataframe/dataframe.index.md              |  69 +++
 .../dataframe/dataframe.ndim.md               |  46 ++
 .../dataframe/dataframe.nunique-1.md          |  98 ++++
 .../dataframe/dataframe.print.md              | 105 ++++
 .../dataframe/dataframe.rename.md             | 148 ++++++
 .../dataframe/dataframe.reset_index.md        |  73 +++
 .../dataframe/dataframe.select_dtypes.md      |  94 ++++
 .../dataframe/dataframe.set_index.md          | 176 +++++++
 .../dataframe/dataframe.shape.md              |  43 ++
 .../dataframe/dataframe.sort_index.md         |  73 +++
 .../dataframe/dataframe.sort_values.md        |  99 ++++
 .../dataframe/dataframe.tensor.md             | 107 +++++
 .../dataframe/dataframe.to_csv.md             | 114 +++++
 .../dataframe/dataframe.to_excel.md           |  53 ++
 .../dataframe/dataframe.to_json.md            | 126 +++++
 .../dataframe/dataframe.values.md             |  50 ++
 .../general-functions/README.md               |  27 ++
 .../general-functions/danfo.concat.md         | 187 ++++++++
 .../general-functions/danfo.date_range.md     | 111 +++++
 .../general-functions/danfo.get_dummies.md    | 188 ++++++++
 .../general-functions/danfo.labelencoder.md   | 140 ++++++
 .../general-functions/danfo.merge.md          | 453 ++++++++++++++++++
 .../general-functions/danfo.minmaxscaler.md   | 125 +++++
 .../general-functions/danfo.onehotencoder.md  | 148 ++++++
 .../general-functions/danfo.standardscaler.md | 132 +++++
 .../general-functions/danfo.to_datetime.md    | 141 ++++++
 api-reference-v1-stable/groupby.md            | 122 +++++
 api-reference-v1-stable/groupby/README.md     |  34 ++
 .../groupby/groupby.agg.md                    |  93 ++++
 .../groupby/groupby.apply.md                  |  84 ++++
 .../groupby/groupby.col.md                    | 105 ++++
 .../groupby/groupby.count.md                  | 175 +++++++
 .../groupby/groupby.cummax.md                 | 258 ++++++++++
 .../groupby/groupby.cummin.md                 | 258 ++++++++++
 .../groupby/groupby.cumprod.md                | 258 ++++++++++
 .../groupby/groupby.cumsum.md                 | 259 ++++++++++
 .../groupby/groupby.get_groups.md             | 129 +++++
 .../groupby/groupby.max.md                    | 170 +++++++
 .../groupby/groupby.mean.md                   | 173 +++++++
 .../groupby/groupby.min.md                    | 171 +++++++
 .../groupby/groupby.std.md                    | 175 +++++++
 .../groupby/groupby.sum.md                    | 172 +++++++
 .../groupby/groupby.var.md                    | 175 +++++++
 .../input-output/README.md                    |  18 +
 .../input-output/danfo.read_csv.md            | 135 ++++++
 .../input-output/danfo.read_excel.md          |  68 +++
 .../input-output/danfo.read_json.md           | 128 +++++
 .../input-output/danfo.to_csv.md              | 115 +++++
 .../input-output/danfo.to_excel.md            |  54 +++
 .../input-output/danfo.to_json.md             | 124 +++++
 api-reference-v1-stable/input-output/read.md  | 138 ++++++
 api-reference-v1-stable/plotting/README.md    |  19 +
 .../plotting/bar-charts.md                    |  78 +++
 api-reference-v1-stable/plotting/box-plots.md | 122 +++++
 .../plotting/configuring-your-plots.md        |  69 +++
 .../plotting/histograms.md                    | 120 +++++
 .../plotting/line-charts.md                   | 112 +++++
 .../plotting/pie-charts.md                    | 127 +++++
 .../plotting/scatter-plots.md                 |  91 ++++
 api-reference-v1-stable/plotting/tables.md    |  97 ++++
 .../plotting/timeseries-plots.md              |  58 +++
 .../plotting/violin-plots.md                  | 116 +++++
 api-reference-v1-stable/series/README.md      | 182 +++++++
 .../series/creating-a-series.md               | 210 ++++++++
 .../series/danfo.series.add.md                |  22 +
 .../series/danfo.series.apply.md              |  63 +++
 .../series/danfo.series.copy.md               |  22 +
 .../series/danfo.series.count.md              |  24 +
 .../series/danfo.series.describe.md           |  26 +
 .../series/danfo.series.div.md                |  26 +
 .../series/danfo.series.head.md               |  25 +
 .../series/danfo.series.map.md                |  42 ++
 .../series/danfo.series.max.md                |   2 +
 .../series/danfo.series.maximum.md            |  22 +
 .../series/danfo.series.mean.md               |   2 +
 .../series/danfo.series.median.md             |   2 +
 .../series/danfo.series.min.md                |   2 +
 .../series/danfo.series.minimum.md            |  22 +
 .../series/danfo.series.mod.md                |  24 +
 .../series/danfo.series.mode.md               |   2 +
 .../series/danfo.series.mul.md                |  26 +
 .../series/danfo.series.pow.md                |  26 +
 .../series/danfo.series.reset_index.md        |  31 ++
 .../series/danfo.series.round.md              |  20 +
 .../series/danfo.series.sample.md             |  22 +
 .../series/danfo.series.set_index.md          |  40 ++
 .../series/danfo.series.sort_values.md        |  27 ++
 .../series/danfo.series.std.md                |  20 +
 .../series/danfo.series.sub.md                |  24 +
 .../series/danfo.series.sum-1.md              |  22 +
 .../series/danfo.series.tail.md               |  22 +
 .../series/danfo.series.tostring.md           |  18 +
 .../series/danfo.series.var.md                |  20 +
 api-reference-v1-stable/series/series.abs.md  |  52 ++
 api-reference-v1-stable/series/series.add.md  |  86 ++++
 api-reference-v1-stable/series/series.and.md  | 132 +++++
 .../series/series.append.md                   | 135 ++++++
 .../series/series.apply.md                    | 149 ++++++
 .../series/series.argmax.md                   |  35 ++
 .../series/series.argmin.md                   |  35 ++
 .../series/series.argsort.md                  |  75 +++
 .../series/series.astype.md                   |   2 +
 api-reference-v1-stable/series/series.copy.md |  45 ++
 api-reference-v1-stable/series/series.corr.md |   2 +
 .../series/series.count.md                    |  36 ++
 .../series/series.cummax.md                   |  51 ++
 .../series/series.cummin.md                   |  51 ++
 .../series/series.cumprod.md                  |  51 ++
 .../series/series.cumsum.md                   |  74 +++
 .../series/series.describe.md                 |  57 +++
 api-reference-v1-stable/series/series.div.md  |  87 ++++
 api-reference-v1-stable/series/series.dot.md  |   2 +
 .../series/series.drop_duplicates.md          | 121 +++++
 .../series/series.dropna.md                   |  91 ++++
 .../series/series.dt.day.md                   |  55 +++
 .../series/series.dt.hour.md                  |  52 ++
 .../series/series.dt.minute.md                |  60 +++
 .../series/series.dt.month.md                 |  47 ++
 .../series/series.dt.month_name.md            |  55 +++
 .../series/series.dt.monthday.md              |  55 +++
 .../series/series.dt.second.md                |  60 +++
 .../series/series.dt.weekdays.md              |  79 +++
 .../series/series.dt.year.md                  |  45 ++
 .../series/series.dtype.md                    |  34 ++
 api-reference-v1-stable/series/series.eq.md   |  95 ++++
 .../series/series.fillna.md                   | 106 ++++
 api-reference-v1-stable/series/series.ge.md   |  95 ++++
 api-reference-v1-stable/series/series.gt.md   |  95 ++++
 api-reference-v1-stable/series/series.head.md |  51 ++
 api-reference-v1-stable/series/series.iloc.md | 158 ++++++
 .../series/series.index.md                    |  33 ++
 api-reference-v1-stable/series/series.isna.md |  45 ++
 api-reference-v1-stable/series/series.le.md   |  96 ++++
 api-reference-v1-stable/series/series.loc.md  | 198 ++++++++
 api-reference-v1-stable/series/series.lt.md   |  96 ++++
 api-reference-v1-stable/series/series.map.md  |  92 ++++
 api-reference-v1-stable/series/series.max.md  |  36 ++
 .../series/series.maximum.md                  |  50 ++
 api-reference-v1-stable/series/series.mean.md |  36 ++
 .../series/series.median.md                   |  36 ++
 api-reference-v1-stable/series/series.min.md  |  36 ++
 .../series/series.minimum.md                  |  48 ++
 api-reference-v1-stable/series/series.mod.md  |  85 ++++
 api-reference-v1-stable/series/series.mode.md |  36 ++
 api-reference-v1-stable/series/series.mul.md  |  86 ++++
 api-reference-v1-stable/series/series.ndim.md |  34 ++
 api-reference-v1-stable/series/series.ne.md   |  95 ++++
 .../series/series.nunique.md                  |  34 ++
 api-reference-v1-stable/series/series.or.md   | 132 +++++
 api-reference-v1-stable/series/series.pow.md  |  87 ++++
 .../series/series.replace.md                  |  89 ++++
 .../series/series.reset_index.md              | 113 +++++
 .../series/series.round.md                    |  48 ++
 .../series/series.sample.md                   |  65 +++
 .../series/series.set_index.md                | 136 ++++++
 .../series/series.shape.md                    |  35 ++
 api-reference-v1-stable/series/series.size.md |  37 ++
 .../series/series.sort_values.md              | 140 ++++++
 api-reference-v1-stable/series/series.std.md  |  39 ++
 .../series/series.str.capitalize.md           |  52 ++
 .../series/series.str.charat.md               |  53 ++
 .../series/series.str.concat.md               | 165 +++++++
 .../series/series.str.endswith.md             |  51 ++
 .../series/series.str.includes.md             |  51 ++
 .../series/series.str.indexof.md              |  51 ++
 .../series/series.str.join.md                 |  52 ++
 .../series/series.str.lastindexof.md          |  54 +++
 .../series/series.str.len.md                  |  52 ++
 .../series/series.str.repeat.md               |  51 ++
 .../series/series.str.replace.md              |  50 ++
 .../series/series.str.search.md               |  94 ++++
 .../series/series.str.slice.md                |  54 +++
 .../series/series.str.split.md                |  74 +++
 .../series/series.str.startswith.md           |  51 ++
 .../series/series.str.substr.md               |  50 ++
 .../series/series.str.substring.md            |  56 +++
 .../series/series.str.tolowercase.md          |  50 ++
 .../series/series.str.touppercase.md          |  52 ++
 .../series/series.str.trim.md                 |  50 ++
 api-reference-v1-stable/series/series.sub.md  |  86 ++++
 api-reference-v1-stable/series/series.sum.md  |  36 ++
 api-reference-v1-stable/series/series.tail.md |  49 ++
 .../series/series.tensor.md                   |  46 ++
 .../series/series.unique.md                   |  55 +++
 .../series/series.value_counts.md             |  54 +++
 .../series/series.values.md                   |  35 ++
 api-reference-v1-stable/series/series.var.md  |  35 ++
 239 files changed, 22652 insertions(+)
 create mode 100644 api-reference-v1-stable/README.md
 create mode 100644 api-reference-v1-stable/configuration-options.md
 create mode 100644 api-reference-v1-stable/dataframe/README.md
 create mode 100644 api-reference-v1-stable/dataframe/creating-a-dataframe.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.add.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.column.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.count.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.div.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.head.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.it.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.le.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.max.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.median.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.min.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.query.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.round.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.std.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
 create mode 100644 api-reference-v1-stable/dataframe/danfo.dataframe.var.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.append.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.apply_map.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.astype.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.axes.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.drop.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.dtypes.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.index.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.ndim.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.nunique-1.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.print.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.rename.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.reset_index.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.set_index.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.shape.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.sort_index.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.sort_values.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.tensor.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.to_csv.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.to_excel.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.to_json.md
 create mode 100644 api-reference-v1-stable/dataframe/dataframe.values.md
 create mode 100644 api-reference-v1-stable/general-functions/README.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.concat.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.date_range.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.get_dummies.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.labelencoder.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.merge.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.onehotencoder.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.standardscaler.md
 create mode 100644 api-reference-v1-stable/general-functions/danfo.to_datetime.md
 create mode 100644 api-reference-v1-stable/groupby.md
 create mode 100644 api-reference-v1-stable/groupby/README.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.agg.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.apply.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.col.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.count.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.cummax.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.cummin.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.cumprod.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.cumsum.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.get_groups.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.max.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.mean.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.min.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.std.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.sum.md
 create mode 100644 api-reference-v1-stable/groupby/groupby.var.md
 create mode 100644 api-reference-v1-stable/input-output/README.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.read_csv.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.read_excel.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.read_json.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.to_csv.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.to_excel.md
 create mode 100644 api-reference-v1-stable/input-output/danfo.to_json.md
 create mode 100644 api-reference-v1-stable/input-output/read.md
 create mode 100644 api-reference-v1-stable/plotting/README.md
 create mode 100644 api-reference-v1-stable/plotting/bar-charts.md
 create mode 100644 api-reference-v1-stable/plotting/box-plots.md
 create mode 100644 api-reference-v1-stable/plotting/configuring-your-plots.md
 create mode 100644 api-reference-v1-stable/plotting/histograms.md
 create mode 100644 api-reference-v1-stable/plotting/line-charts.md
 create mode 100644 api-reference-v1-stable/plotting/pie-charts.md
 create mode 100644 api-reference-v1-stable/plotting/scatter-plots.md
 create mode 100644 api-reference-v1-stable/plotting/tables.md
 create mode 100644 api-reference-v1-stable/plotting/timeseries-plots.md
 create mode 100644 api-reference-v1-stable/plotting/violin-plots.md
 create mode 100644 api-reference-v1-stable/series/README.md
 create mode 100644 api-reference-v1-stable/series/creating-a-series.md
 create mode 100644 api-reference-v1-stable/series/danfo.series.add.md
 create mode 100644 api-reference-v1-stable/series/danfo.series.apply.md
 create mode 100644 api-reference-v1-stable/series/danfo.series.copy.md
 create mode 100644 api-reference-v1-stable/series/danfo.series.count.md
 create mode 100644 api-reference-v1-stable/series/danfo.series.describe.md
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diff --git a/api-reference-v1-stable/README.md b/api-reference-v1-stable/README.md
new file mode 100644
index 0000000..b5d5d28
--- /dev/null
+++ b/api-reference-v1-stable/README.md
@@ -0,0 +1,54 @@
+---
+description: >-
+  This page gives an overview of all public danfo objects, functions and
+  methods. All classes and functions exposed in danfo.* namespace are public.
+---
+
+# API reference
+
+* [General Functions](general-functions/)
+  * [Data manipulations](general-functions/#data-manipulations)
+  * [Data Processing/Normalization](general-functions/#data-processing-normalization)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
+* [Input/output](input-output/)
+  * [CSV](input-output/#csv)
+  * [JSON](input-output/#json)
+* [Series](series/)
+  * [Attributes](series/#attributes)
+  * [Conversion](series/#conversion)
+  * [Indexing, iteration](series/#indexing-iteration)
+  * [Binary operator functions](series/#binary-operator-functions)
+  * [Function application, GroupBy & window](series/#function-application-and-groupby)
+  * [Computations / descriptive stats](series/#computations-descriptive-stats)
+  * [Reindexing / selection / label manipulation](series/#reindexing-selection-label-manipulation)
+  * [Missing data handling](series/#missing-data-handling)
+  * [Reshaping, sorting](series/#reshaping-sorting)
+  * [Accessors](series/#accessors)
+  * [Serialization / IO / conversion](series/#serialization-io-conversion)
+* [DataFrame](dataframe/)
+  * [Attributes ](dataframe/#attributes)
+  * [Conversion](dataframe/#conversion)
+  * [Indexing, iteration](dataframe/#indexing-iteration)
+  * [Binary operator functions](dataframe/#binary-operator-functions)
+  * [Function application, GroupBy & window](dataframe/#function-application-and-groupby)
+  * [Computations / descriptive stats](dataframe/#computations-descriptive-stats)
+  * [Reindexing / selection / label manipulation](dataframe/#reindexing-selection-label-manipulation)
+  * [Missing data handling](dataframe/#missing-data-handling)
+  * [Reshaping, sorting, transposing](dataframe/#sorting-and-transposing)
+  * [Combining / comparing / joining / merging](dataframe/#combining-comparing-joining-merging)
+  * [Serialization / IO / conversion](dataframe/#serialization-io-conversion)
+* [Plotting](plotting/)
+  * [Line Charts](plotting/line-charts.md)
+  * [Bar Charts](plotting/bar-charts.md)
+  * [Scatter Plots](plotting/scatter-plots.md)
+  * [Histograms](plotting/histograms.md)
+  * [Pie Charts](plotting/pie-charts.md)
+  * [Tables](plotting/tables.md)
+  * [Box Plots](plotting/box-plots.md)
+  * [Violin Plots](plotting/violin-plots.md)
+  * [Timeseries Plots](plotting/timeseries-plots.md)
+* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
+  * [Indexing, iteration](groupby/#indexing-iteration)
+  * [Function application](groupby/#function-application)
+  * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
+
diff --git a/api-reference-v1-stable/configuration-options.md b/api-reference-v1-stable/configuration-options.md
new file mode 100644
index 0000000..f4c2136
--- /dev/null
+++ b/api-reference-v1-stable/configuration-options.md
@@ -0,0 +1,128 @@
+---
+description: >-
+  This section describes all user configurable options available on
+  DataFrame/Series creation.
+---
+
+# Configuration Options
+
+On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
+
+| Parameter          | Description                                                                                                                                                                                                           |
+| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
+| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
+| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
+| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
+
+> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
+
+## Examples of setting configs
+
+### Add a DataFrame header
+
+```javascript
+ const data = {
+                "Name": ["Apples", "Mango", "Banana", "Pear"],
+                "Count": [21, 5, 30, 10],
+                "Price": [200, 300, 40, 250]
+            };
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔════════════════════════════════════════════════════════════════════════╗
+║                               THE HEADER                               ║
+║                   This is the table about something                    ║
+╟────────────┬───────────────────┬───────────────────┬───────────────────╢
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Configure column size and display format of DataFrame
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+};
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+            columns: [
+                { alignment: 'left' },
+                { alignment: 'center', width: 20 },
+                { alignment: 'right' },
+                { alignment: 'justify' }
+            ],
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔══════════════════════════════════════════╗
+║                THE HEADER                ║
+║    This is the table about something     ║
+╟───┬──────────────────────┬───────┬───────╢
+║   │         Name         │ Count │ Price ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 0 │        Apples        │    21 │ 200   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 1 │        Mango         │     5 │ 300   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 2 │        Banana        │    30 │ 40    ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 3 │         Pear         │    10 │ 250   ║
+╚═══╧══════════════════════╧═══════╧═══════╝
+```
+
+### Configure the number of rows displayed when **print** is called
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250],
+
+};
+const df = new DataFrame(data, {
+    config: {
+        tableMaxColInConsole: 6,
+        tableMaxRow: 1
+    }
+});
+df.print()
+```
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference-v1-stable/dataframe/README.md b/api-reference-v1-stable/dataframe/README.md
new file mode 100644
index 0000000..a45aabd
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/README.md
@@ -0,0 +1,145 @@
+---
+description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
+---
+
+# Dataframe
+
+> `DataFrame`(data, {\
+>                                 **columns:** \[ Array ],\
+>                                  **dtypes:** \[ Array ],** **\
+> **                                 index: **\[Array], \
+>                                  **options**: Object})
+
+### Attributes
+
+| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
+| ------------------------------------------------ | ---------------------------------------- |
+| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
+
+| [`DataFrame.ctypes`](dataframe.dtypes.md)               | Return the data types in the DataFrame.                                |
+| ------------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.select_dtypes`](dataframe.select_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
+| [`DataFrame.values`](dataframe.values.md)               | Return a Numpy representation of the DataFrame.                        |
+| [`DataFrame.axes`](dataframe.axes.md)                   | Return a Object representing the axes of the DataFrame.                |
+| [`DataFrame.ndim`](dataframe.ndim.md)                   | Return an int representing the number of axes / array dimensions.      |
+| [`DataFrame.size`](broken-reference)                    | Return an int representing the number of elements in this object.      |
+| [`DataFrame.shape`](dataframe.shape.md)                 | Return a tuple representing the dimensionality of the DataFrame.       |
+
+### Conversion
+
+| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
+| ------------------------------------------- | -------------------------------------------------- |
+| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
+
+### Indexing, iteration
+
+| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
+| --------------------------------------------- | ------------------------------------------------------------------ |
+| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
+| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
+| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
+
+### Binary operator functions
+
+| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
+| ----------------------------------------- | --------------------------------------------------------------------------------------- |
+| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
+| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
+| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
+| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
+| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
+| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
+| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
+| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
+| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
+| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
+| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
+
+### Function application & GroupBy
+
+| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
+| --------------------------------------------- | --------------------------------------------------------- |
+| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
+| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
+
+### Computations / descriptive stats
+
+| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
+| --------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
+| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
+| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
+| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
+| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
+| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
+| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
+| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
+| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
+| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
+| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
+| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
+| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
+| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
+| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
+| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
+| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
+
+### Reindexing / selection / label manipulation
+
+|                                                     |                                                         |
+| --------------------------------------------------- | ------------------------------------------------------- |
+| [`DataFrame.drop`](dataframe.drop.md)               | Drop specified labels from rows or columns.             |
+| [`DataFrame.head`](danfo.dataframe.head.md)         | Return the first n rows.                                |
+| [`DataFrame.rename`](dataframe.rename.md)           | Alter axes labels.                                      |
+| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame                          |
+| [`DataFrame.sample`](danfo.dataframe.sample.md)     | Return a random sample of items from an axis of object. |
+| [`DataFrame.set_index`](dataframe.set_index.md)     | Set the DataFrame index using existing columns.         |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)         | Return the last n rows.                                 |
+
+### Missing data handling
+
+|                                                   |                                             |
+| ------------------------------------------------- | ------------------------------------------- |
+| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
+| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
+| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
+| [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
+
+### Sorting & transposing
+
+|                                                                                                                        |                                       |
+| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| [`DataFrame.sort_values`](dataframe.sort_values.md)                                                                    | Sort by the values along either axis. |
+| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
+
+### Combining / comparing / joining / merging
+
+|                                                            |                                                                     |
+| ---------------------------------------------------------- | ------------------------------------------------------------------- |
+| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
+| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
+| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
+
+### Plotting
+
+`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
+
+|                                                          |                                                               |
+| -------------------------------------------------------- | ------------------------------------------------------------- |
+| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
+| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
+| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
+| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
+
+### Serialization / IO / conversion
+
+|                                             |                                                      |
+| ------------------------------------------- | ---------------------------------------------------- |
+| [`DataFrame.to_csv`](dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/dataframe/creating-a-dataframe.md b/api-reference-v1-stable/dataframe/creating-a-dataframe.md
new file mode 100644
index 0000000..0228131
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/creating-a-dataframe.md
@@ -0,0 +1,355 @@
+---
+description: Creates a DataFrame object from flat structure
+---
+
+# Creating a DataFrame
+
+new danfo.**DataFrame**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>columns:</b> Array of column names. If not specified, column names are
+          auto generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
+In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
+
+### Creating a `DataFrame` from a JSON object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+df = new dfd.DataFrame(json_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Creating a `DataFrame` from an array of array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
+let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` from a 2D tensor
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const tf = require("@tensorflow/tfjs-node")
+
+
+let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
+let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ int32                ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+```
+
+### Creating a `DataFrame` from an object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+console.log(dates);
+
+obj_data = {'A': dates,
+            'B': ["bval1", "bval2", "bval3", "bval4"],
+            'C': [10, 20, 30, 40],
+            'D': [1.2, 3.45, 60.1, 45],
+            'E': ["test", "train", "test", "train"]
+            }
+
+df = new dfd.DataFrame(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+        console.log(dates);
+
+        obj_data = {'A': dates,
+                    'B': ["bval1", "bval2", "bval3", "bval4"],
+                    'C': [10, 20, 30, 40],
+                    'D': [1.2, 3.45, 60.1, 45],
+                    'E': ["test", "train", "test", "train"]
+                    }
+
+        df = new dfd.DataFrame(obj_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//output in console
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying index, dtypes, columns
+
+You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
+
+> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+let index = ["a", "b"];
+let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
+let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
+
+let df = new DataFrame(data1, { index, columns, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying memory mode
+
+To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+
+let df = new DataFrame(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
+{% endhint %}
+
+For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md b/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
new file mode 100644
index 0000000..83c6cd3
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
@@ -0,0 +1,74 @@
+---
+description: Return a DataFrame with the absolute numeric value of each element.
+---
+
+# DataFrame.abs
+
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+             
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_abs = df.abs()
+df_abs.abs().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after applying abs function
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20.1              │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 20                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.add.md b/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
new file mode 100644
index 0000000..467c143
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
@@ -0,0 +1,246 @@
+---
+description: Get Addition of DataFrame and other, element-wise (binary operator add).
+---
+
+# DataFrame.add
+
+danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Addition of** scalar to **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.add(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 12                │ 25                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 47                │ 22                ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 58                │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ 26                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of**  Series to **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.add(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 5                 │ 8                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 8                 │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 9                 │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 5                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of**  **DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.add(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 2                 │ 22                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 9                 │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 25                │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of** ** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.add(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.add(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md b/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
new file mode 100644
index 0000000..ef0ecc9
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
@@ -0,0 +1,118 @@
+---
+description: Add new column to a DataFrame
+---
+
+# DataFrame.addColumn
+
+danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
+
+**Returns:**
+
+## **Examples**
+
+## **Add Array as a new column to DataFrame**
+
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3], 
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_col = [1, 2, 3, 4]
+df.addColumn({ "column": "D", "values": new_col, inplace: true });
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Add Series as a new column to DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3], 
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+
+let df = new dfd.DataFrame(data)
+let s = new dfd.Series([1, 2, 3, 4])
+df.addColumn({ "column": "D", "values": s, inplace: true });
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md b/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
new file mode 100644
index 0000000..01fab60
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
@@ -0,0 +1,106 @@
+---
+description: Apply a function to each element or along a specified axis of a DataFrame.
+---
+
+# DataFrame.apply
+
+danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Apply a  function along default axis 1 (columns)
+
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
+}
+
+let df_new = df.apply(sum_vals, { axis: 1 })
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Apply a  function along  axis 0 (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
+}
+
+let df_new = df.apply(sum_vals, { axis: 0 })
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 0 │ 6   ║
+╟───┼─────╢
+║ 1 │ 15  ║
+╟───┼─────╢
+║ 2 │ 90  ║
+╟───┼─────╢
+║ 3 │ 206 ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.column.md b/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
new file mode 100644
index 0000000..2d70bfd
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
@@ -0,0 +1,72 @@
+---
+description: Return the elements of the specified column in the DataFrame
+---
+
+# DataFrame.column
+
+danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
+
+| Parameters | Type   | Description                           | Default |
+| ---------- | ------ | ------------------------------------- | ------- |
+| column     | String | The name of a column in the DataFrame |         |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## **Select a single column from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = { "Name": ["Apples", "App", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10] ,
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+
+df.column("Name").print()
+
+//Alternatively, you can retrieve columns by using the object property
+df['Name'].print() //produces the same result as above
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md b/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
new file mode 100644
index 0000000..ef705ed
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
@@ -0,0 +1,53 @@
+---
+description: Makes a new copy of the DataFrame
+---
+
+# DataFrame.copy
+
+danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+
+**Returns:**
+
+**       **return** new DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+let new_df = df.copy()
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.count.md b/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
new file mode 100644
index 0000000..9e9916e
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
@@ -0,0 +1,100 @@
+---
+description: >-
+  Count non-NaN cells for each column or row. The values NaN and undefined are
+  considered NaN
+---
+
+# DataFrame.count
+
+danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Count Non-NaN values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", undefined],
+           "Count": [NaN, 5, NaN, 10],
+           "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.count().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══════╤══════════════════════╗
+║       │ 0                    ║
+╟───────┼──────────────────────╢
+║ Name  │ 3                    ║
+╟───────┼──────────────────────╢
+║ Count │ 2                    ║
+╟───────┼──────────────────────╢
+║ Price │ 4                    ║
+╚═══════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Count Non-NaN values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", undefined],
+           "Count": [NaN, 5, NaN, 10],
+           "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.count({axis: 0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 3                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
new file mode 100644
index 0000000..c46ae7b
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
@@ -0,0 +1,99 @@
+---
+description: Return cumulative maximum over a DataFrame or Series axis.
+---
+
+# DataFrame.cummax
+
+danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+## Cumulative maximum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummax({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 11                │ 20                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 11                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 11                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative maximum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummax({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 15                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 89                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
new file mode 100644
index 0000000..53f4045
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
@@ -0,0 +1,99 @@
+---
+description: Return cumulative minimum over a DataFrame or Series axis.
+---
+
+# DataFrame.cummin
+
+danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+## Cumulative minimum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummin({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 15                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 1                 │ 15                │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative minimum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummin({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 11                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 2                 │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
new file mode 100644
index 0000000..b780cd2
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
@@ -0,0 +1,99 @@
+---
+description: Return cumulative product over a DataFrame or Series axis.
+---
+
+# DataFrame.cumprod
+
+danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+## Cumulative product of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumprod()
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 10                │ 18                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 300               │ 720               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 4                 │ 26700             │ 56160             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative product of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumprod({axis: 1})
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 60                │ 2400              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 178               │ 13884             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
new file mode 100644
index 0000000..4863805
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
@@ -0,0 +1,99 @@
+---
+description: Return cumulative sum over a DataFrame or Series axis.
+---
+
+# DataFrame.cumsum
+
+danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+## Cumulative sum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumsum({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 12                │ 35                │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 14                │ 65                │ 49                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 16                │ 154               │ 127               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative sum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumsum({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 31                │ 34                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 16                │ 22                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 32                │ 72                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 91                │ 169               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md b/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
new file mode 100644
index 0000000..4dac614
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
@@ -0,0 +1,61 @@
+---
+description: >-
+  Generate descriptive statistics for each numeric column. Numeric columns are
+  of type Int and float.
+---
+
+# DataFrame.describe
+
+danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
+let col_names = ["col1", "col2", "col3", "col4"]
+let df = new dfd.DataFrame(data, {columns: col_names})
+
+df.describe().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 3                 │ 3                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0                 │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 2                 │ 4                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 360               │ 180               │ 360               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.div.md b/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
new file mode 100644
index 0000000..54123d9
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
@@ -0,0 +1,254 @@
+---
+description: >-
+  Get Float division of DataFrame and other, element-wise (binary operator
+  truediv).
+---
+
+# DataFrame.div
+
+danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Division of** scalar with **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.div(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of**  Series with **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.div(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0.25              │ 0.6000000238418…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0.4000000059604…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1.25              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0.25              │ 0.8000000119209…  ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of**  **DataFrame **with** a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.div(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0.1000000014901…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0.8000000119209…  │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0.25              │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of** ** Array **with** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.div(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.div(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
new file mode 100644
index 0000000..81006a1
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
@@ -0,0 +1,96 @@
+---
+description: Remove missing values (NaNs, undefined, null) for DataFrame
+---
+
+# DataFrame.dropna
+
+danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
+
+| Parameters | Type   | Description                                                                                                                   | Default              |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
+| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
+| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace: **false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Drop rows (axis=0) with missing values  
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.print()
+
+let df_drop = df.dropna(0)
+df_drop.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop columns (axis=1) with missing values  
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.print()
+
+df.dropna({axis: 1, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md b/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
new file mode 100644
index 0000000..a43fbd0
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
@@ -0,0 +1,190 @@
+---
+description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.eq
+
+danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+****
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.eq(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.eq(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.eq(df2)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.eq(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
new file mode 100644
index 0000000..49aa13d
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
@@ -0,0 +1,178 @@
+---
+description: >-
+  Fill NaN/undefined values using the specified method. Detect missing values
+  for an array-like object.
+---
+
+# DataFrame.fillna
+
+danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
+
+| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
+| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Fill missing values in specified columns with specified values 
+
+Missing values are NaN, undefined or null values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let values = ["Apples", df["Count"].mean()]
+let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
+df_filled.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Before filling
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ NaN               │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ NaN               │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ NaN               │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After filling
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 7.5               │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 7.5               │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill all columns with NaNs with a specified value 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+let df_filled = df.fillna("Apples")
+
+df_filled.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ Apples            │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill NaNs inplace 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+let values = ["Apples", df["Count"].mean()]
+df.fillna(values, {
+    columns: ["Name", "Count"],
+    inplace: true
+})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ Apples            │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
new file mode 100644
index 0000000..3b41ec3
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
@@ -0,0 +1,195 @@
+---
+description: >-
+  Get Greater or Equal to of DataFrame and other, element-wise (binary operator
+  eq).
+---
+
+# DataFrame.ge
+
+danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+**     DataFrame**
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.ge(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.ge(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.ge(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.ge(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md b/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
new file mode 100644
index 0000000..a31f095
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
@@ -0,0 +1,148 @@
+---
+description: Group DataFrame using a mapper or by a Series of columns.
+---
+
+# DataFrame.groupby
+
+danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
+
+| Parameters | Type  | Description                                           | Default |
+| ---------- | ----- | ----------------------------------------------------- | ------- |
+| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
+
+**Returns:**
+
+**       **return** DataFrame.groups**
+
+## **Examples**
+
+## **Groupby a single column from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"])
+console.log(group_df)
+
+//GroupBy Object
+GroupBy {
+  key_col: [ 'A' ],
+  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
+  data: [
+    [ 'Pear', 2, 3 ],
+    [ 'Pear', 5, 6 ],
+    [ 'Apple', 30, 40 ],
+    [ 'Apple', 89, 78 ]
+  ],
+  column_name: [ 'A', 'B', 'C' ],
+  data_tensors: {
+    Pear: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+      '$index': [Array],
+      '$dtypes': [Array],
+      '$columns': [Array]
+    },
+    Apple: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+       ...
+      '$columns': [Array]
+    }
+  },
+  col_dtype: [ 'string' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
+
+1. [count](danfo.dataframe.count.md)
+2. [sum](danfo.dataframe.sum.md)
+3. [std](danfo.dataframe.std.md)
+4. [var](danfo.dataframe.var.md)
+5. [mean](danfo.dataframe.mean.md)
+6. [cumsum](danfo.dataframe.cumsum.md) 
+7. [cummax](danfo.dataframe.cummax.md)
+8. [cumprod](danfo.dataframe.cumprod.md)
+9. [cummin](danfo.dataframe.cummin.md)
+10. [max](danfo.dataframe.max.md)
+11. [min](danfo.dataframe.min.md)
+
+## Example of Groupby and apply a sum function
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"]).sum()
+
+group_df.print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B_sum             │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 119               │ 118               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+## **Groupby a two columns from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A", "B"]).sum()
+
+group_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 2                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Apple             │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md b/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
new file mode 100644
index 0000000..121c7e7
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
@@ -0,0 +1,191 @@
+---
+description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.gt
+
+danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.gt(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.gt(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.gt(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.gt(val, axis=1)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.head.md b/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
new file mode 100644
index 0000000..10ae0f2
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
@@ -0,0 +1,53 @@
+---
+description: Returns the first n rows of the DataFrame based on position.
+---
+
+# DataFrame.head
+
+danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let s_df = df.head(2)
+s_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
new file mode 100644
index 0000000..f8e0f4c
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
@@ -0,0 +1,331 @@
+---
+description: Purely integer-location based indexing for selection by position.
+---
+
+# DataFrame.iloc
+
+danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                         | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `5`.
+* A list or array of integers, e.g. `[4, 3, 0]`.
+* A string slice object with ints, e.g. `"1:7"`
+* A boolean array.
+
+_**Note:** only the start index is included._
+
+`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
+
+### **Indexing specific rows by index and return all columns**
+
+If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: [0,1,3]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row and return all columns**
+
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: ["1:3"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of column and return all rows**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({columns: ["1:"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Indexing both axes by the specified index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: [0,3], columns: [1,2]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after indexing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Indexing both axes by slices
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+╔═══╤═══════════════════╗
+║   │ Count             ║
+╟───┼───────────────────╢
+║ 2 │ 30                ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### More default slicing behavior
+
+If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
new file mode 100644
index 0000000..b919db5
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
@@ -0,0 +1,54 @@
+---
+description: >-
+  Return a boolean same-sized object indicating if the values are NaN.
+  NaN/undefined values gets mapped to true values, and everything else gets
+  mapped to false values.
+---
+
+# DataFrame.isna
+
+danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.isna().print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.it.md b/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
new file mode 100644
index 0000000..69093a2
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
@@ -0,0 +1,194 @@
+---
+description: Get Less than of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.It
+
+danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+           "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.lt(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10, 40])
+
+let df_rep = df.lt(sf, { axis: 1 })
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+         "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.lt(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with an Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.lt(val, axis=1)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.le.md b/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
new file mode 100644
index 0000000..0b88ff1
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
@@ -0,0 +1,194 @@
+---
+description: >-
+  Get Less than or Equal to of DataFrame and other, element-wise (binary
+  operator eq).
+---
+
+# DataFrame.le
+
+danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.le(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.le(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+              "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.le(df2)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with an Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.le(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
new file mode 100644
index 0000000..88d7556
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
@@ -0,0 +1,367 @@
+---
+description: Access a group of rows and columns by label(s)
+---
+
+# DataFrame.loc
+
+danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                            | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+`.loc()` is  label position based-from `0` to `length-1` of the row axis.
+
+Allowed inputs for are:
+
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
+
+_**Note: **only** **the start label is included, and the end label is ignored. _
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
+
+### **Index by specific rows and return all columns**
+
+If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.print()
+let sub_df = df.loc({rows: ["a", "c"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a list of column names and return all rows**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.print()
+let sub_df = df.loc({columns: ["Count", "Price"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after indexing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ a │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ b │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ c │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ d │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Index both axes by the specified labels
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+df.print()
+let sub_df = df.loc({ rows: ["c","d"], columns: ["Name", "Price"] })
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//after slicing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+df.print()
+let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+df`.loc({ row: [a:e]}).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+df``.loc({ row: [`"a":"e"`]}).print()``\
+\
+_**Inner**_ _**quotes are not needed for numeric indices!**_
+{% endhint %}
+
+### Slice DataFrame rows by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let sub_df = df.loc({ rows: df["Count"].gt(6) })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
+### Slice DataFrame rows by multiple boolean conditions
+
+{% hint style="info" %}
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let condition = df["Count"].gt(6).and(df["Price"].lt(250))
+let sub_df = df.loc({ rows: condition })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+### Slice DataFrame with boolean mask
+
+{% hint style="info" %}
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+
+let sub_df = df.loc({ rows: [false, true, true, true] })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.max.md b/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
new file mode 100644
index 0000000..f8e9124
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
@@ -0,0 +1,118 @@
+---
+description: Return the maximum of the values for the requested axis.
+---
+
+# DataFrame.max
+
+danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Return the maximum value along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.max().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 11                   ║
+╟───┼──────────────────────╢
+║ B │ 89                   ║
+╟───┼──────────────────────╢
+║ C │ 78                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Return the maximum value along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.max({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 20                   ║
+╟───┼──────────────────────╢
+║ 1 │ 15                   ║
+╟───┼──────────────────────╢
+║ 2 │ 40                   ║
+╟───┼──────────────────────╢
+║ 3 │ 89                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
new file mode 100644
index 0000000..fbc005e
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
@@ -0,0 +1,120 @@
+---
+description: Return the mean of the values for the requested axis.
+---
+
+# DataFrame.mean
+
+danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Computes the mean of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.mean().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 4                    ║
+╟───┼──────────────────────╢
+║ B │ 38.5                 ║
+╟───┼──────────────────────╢
+║ C │ 31.75                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Computes the mean of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.mean({ axis: 0 }).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 11.333333015441895   ║
+╟───┼──────────────────────╢
+║ 1 │ 7.333333492279053    ║
+╟───┼──────────────────────╢
+║ 2 │ 24                   ║
+╟───┼──────────────────────╢
+║ 3 │ 56.33333206176758    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.median.md b/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
new file mode 100644
index 0000000..e75519f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
@@ -0,0 +1,120 @@
+---
+description: Return the median of the values for the requested axis.
+---
+
+# DataFrame.median
+
+danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Calculates the median of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.median().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 2                    ║
+╟───┼──────────────────────╢
+║ B │ 25                   ║
+╟───┼──────────────────────╢
+║ C │ 23                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculates the median of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.median({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 11                   ║
+╟───┼──────────────────────╢
+║ 1 │ 6                    ║
+╟───┼──────────────────────╢
+║ 2 │ 30                   ║
+╟───┼──────────────────────╢
+║ 3 │ 78                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.min.md b/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
new file mode 100644
index 0000000..93b9bf8
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
@@ -0,0 +1,120 @@
+---
+description: Return the minimum of the values for the requested axis.
+---
+
+# DataFrame.min
+
+danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Returns the minimum value along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.min().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 1                    ║
+╟───┼──────────────────────╢
+║ B │ 15                   ║
+╟───┼──────────────────────╢
+║ C │ 3                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Return the minimum value along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.min({axis: 0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
new file mode 100644
index 0000000..8cd7e9f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
@@ -0,0 +1,258 @@
+---
+description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
+---
+
+# DataFrame.mod
+
+danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Modulo of** scalar with **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.mod(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of**  Series with **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.mod(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1                 │ 4                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of**  **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.mod(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 5                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of** ** Array with DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.mod(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.mod(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
new file mode 100644
index 0000000..3627b59
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
@@ -0,0 +1,252 @@
+---
+description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
+---
+
+# DataFrame.mul
+
+danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Multiplication of** scalar to **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.mul(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of**  Series to **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.mul(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 4                 │ 15                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 16                │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 4                 │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of**  **DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.mul(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 100               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 8                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of** ** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.mul(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.mul(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
new file mode 100644
index 0000000..1996400
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
@@ -0,0 +1,187 @@
+---
+description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.ne
+
+danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+****
+
+## **Examples**
+
+### Comparing** **DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.ne(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.ne(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.ne(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing** **DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10, 40, 30, 20]
+
+let df_rep = df.le(val)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             │ false             │ true              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md b/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
new file mode 100644
index 0000000..634e6e2
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
@@ -0,0 +1,260 @@
+---
+description: >-
+  Get Exponential power of dataframe and other, element-wise (binary operator
+  pow).
+---
+
+# DataFrame.pow
+
+danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Exponential of** scalar with **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.pow(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of**  Series with **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.pow(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 243               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 256               │ 32                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 625               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1                 │ 1024              ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of**  **DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.pow(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 1048576           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1024              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 95367433551872    │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 16                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of** ** Array with DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.pow(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.pow(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.query.md b/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
new file mode 100644
index 0000000..129c8e7
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
@@ -0,0 +1,278 @@
+---
+description: >-
+  Query the DataFrame by the result of a logical comparison or boolean mask.
+  Supports logical operations like (">", "<", ">=", "<=", and. "==")
+---
+
+# DataFrame.query
+
+danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
+| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
+
+**Returns:**
+
+&#x20;      ****       return **new DataFrame**
+
+## **Examples**
+
+## **Query a DataFrame using a boolean mask**
+
+{% hint style="info" %}
+Querying by a boolean condition is supported from v0.3.0 and above.
+{% endhint %}
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5) })
+query_df.print() //after query
+```
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Ng                │ 34                │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
+## **Query a DataFrame using logical operators**
+
+To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print() //before query
+
+let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
+query_df.print() //after query
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//before query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 4                 │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 20                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 20                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
+query_df.print() //after query
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Query by a string column in a DataFrame**
+
+The query method also works on string columns.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": ["Ng", "Yu", "Mo", "Ng"],
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+            
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+query_df.print() //after query
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Query a DataFrame inplace**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.query({
+    column: "B",
+    is: ">",
+    to: 5,
+    inplace: true
+})
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md b/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
new file mode 100644
index 0000000..9a0b39f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
@@ -0,0 +1,102 @@
+---
+description: Replaces values in a DataFrame with specified values
+---
+
+# DataFrame.replace
+
+> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
+
+| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
+| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
+| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
+| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
+| options    | Object                  | <p><strong>columns: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+****
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.replace(10, -999, { columns: ["Col1"] })
+
+df_rep.print()
+ 
+ 
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ -999              │ 23                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 45                │ 20                ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 56                │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ -999              │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+By not specifying a** **column**, **the** **replace works on all columns ** **
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
+let df = new dfd.DataFrame(data)
+//replace value in all column
+let df_rep = df.replace("A", "BOY")
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ B                 │ C                 │ C                 │ D                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.round.md b/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
new file mode 100644
index 0000000..32e7c8a
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
@@ -0,0 +1,128 @@
+---
+description: Round elements in a DataFrame to a specified number of decimal places.
+---
+
+# DataFrame.round
+
+danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+## Round elements to 1dp (Default)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
+
+let new_df = df.round()
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.234            ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after round
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1              │ 3.6               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.1               │ 40.2              ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Round elements to a specified number of decimal places
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
+
+let new_df = df.round(2)
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.234            ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after round operation 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.12             │ 3.57              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.23             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
new file mode 100644
index 0000000..73e057a
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
@@ -0,0 +1,112 @@
+---
+description: Return a random sample of rows from DataFrame.
+---
+
+# DataFrame.sample
+
+danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
+
+| Parameters | Type | Description                                                                                                                        | Default |
+| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
+| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
+
+**Returns:**
+
+**       **return** {Promies} resolves to DataFrame**
+
+****
+
+## Sample a DataFrame randomly
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+  let data = {
+    Name: ["Apples", "Mango", "Banana", "Pear"],
+    Count: [21, 5, 30, 10],
+    Price: [200, 300, 40, 250],
+  };
+
+  let df = new dfd.DataFrame(data);
+  let s_df = await df.sample(2);
+  s_df.print();
+  
+}
+
+load_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Sample a DataFrame randomly with seed
+
+By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data = {
+        Name: ["Apples", "Mango", "Banana", "Pear"],
+        Count: [21, 5, 30, 10],
+        Price: [200, 300, 40, 250],
+    };
+
+    let df = new dfd.DataFrame(data);
+    let s_df = await df.sample(3, { seed: 2 });
+    s_df.print();
+
+}
+
+load_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.std.md b/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
new file mode 100644
index 0000000..b94372e
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
@@ -0,0 +1,94 @@
+---
+description: Return sample standard deviation over requested axis.
+---
+
+# DataFrame.std
+
+danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Calculates the standard deviation of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.std().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4.69041575982343     ║
+╟───┼──────────────────────╢
+║ 1 │ 34.23935357645254    ║
+╟───┼──────────────────────╢
+║ 2 │ 35.103418636936205   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculates the standard deviation of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.std({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 8.504900548115383    ║
+╟───┼──────────────────────╢
+║ 1 │ 7.094598884597588    ║
+╟───┼──────────────────────╢
+║ 2 │ 19.697715603592208   ║
+╟───┼──────────────────────╢
+║ 3 │ 47.37439533475159    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
new file mode 100644
index 0000000..aded5cb
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
@@ -0,0 +1,250 @@
+---
+description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
+---
+
+# DataFrame.sub
+
+danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Subtraction of** scalar to **DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.sub(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of**  Series to **DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.sub(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ -3                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ -3                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ -5                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -3                │ -1                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of**  **DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.sub(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ -18               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ -1                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ -15               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -10               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of** ** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.sub(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.sub(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
new file mode 100644
index 0000000..515788b
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
@@ -0,0 +1,121 @@
+---
+description: Return the sum of the values for the requested axis.
+---
+
+# DataFrame.sum
+
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Sum elements along default axis (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_sum = df.sum()
+df_sum.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20.1             │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ -20               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ -20               │ 6                 │ -40               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════════════════════╗
+║ A │ 37.199999999999996 ║
+╟───┼────────────────────╢
+║ B │ 41                 ║
+╟───┼────────────────────╢
+║ C │ -10                ║
+╚═══╧════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Sum elements along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_sum = df.sum({axis: 0})
+df_sum.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ sum                  ║
+╟───┼──────────────────────╢
+║ 0 │ 33.9                 ║
+╟───┼──────────────────────╢
+║ 1 │ 6                    ║
+╟───┼──────────────────────╢
+║ 2 │ 82.3                 ║
+╟───┼──────────────────────╢
+║ 3 │ -54                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md b/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
new file mode 100644
index 0000000..f317ba2
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
@@ -0,0 +1,53 @@
+---
+description: Returns the last n rows from the DataFrame based on position.
+---
+
+# DataFrame.tail
+
+danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let s_df = df.tail(3)
+s_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.var.md b/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
new file mode 100644
index 0000000..b95bb1a
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
@@ -0,0 +1,94 @@
+---
+description: Return unbiased variance over requested axis.
+---
+
+# DataFrame.var
+
+danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+## Calculate variance of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.var().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 22                   ║
+╟───┼──────────────────────╢
+║ 1 │ 1172.3333333333333   ║
+╟───┼──────────────────────╢
+║ 2 │ 1232.25              ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculate variance of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.var({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 72.33333333333334    ║
+╟───┼──────────────────────╢
+║ 1 │ 50.33333333333333    ║
+╟───┼──────────────────────╢
+║ 2 │ 388                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2244.333333333333    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference-v1-stable/dataframe/dataframe.append.md b/api-reference-v1-stable/dataframe/dataframe.append.md
new file mode 100644
index 0000000..ae84a8b
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.append.md
@@ -0,0 +1,75 @@
+---
+description: Adds new row to the end of a DataFrame
+---
+# DataFrame.append
+
+danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
+
+| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
+| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
+| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
+| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
+| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Appends a new row to the end of a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = [[0, 2, 4, "b"],
+            [360, 180, 360, "a"],
+            [2, 4, 6, "c"]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_df = df.append([[20, 40, 60, "d"]], [3])
+new_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 20                │ 40                │ 60                │ d                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/dataframe/dataframe.apply_map.md b/api-reference-v1-stable/dataframe/dataframe.apply_map.md
new file mode 100644
index 0000000..986566f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.apply_map.md
@@ -0,0 +1,68 @@
+---
+description: Apply a function to a Dataframe values element-wise.
+---
+
+# DataFrame.apply_map
+
+danfo.DataFrame.**apply_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Apply a  function to all values in a DataFrame
+
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function. 
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    short_name: ["NG", "GH", "EGY", "SA"],
+    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
+}
+let df = new dfd.DataFrame(data)
+
+function lower(x) {
+    return `${x}`.toLowerCase()
+}
+
+let df_new = df.apply_map(lower)
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ short_name        │ long_name         ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ ng                │ nigeria           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ gh                │ ghana             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ egy               │ eqypt             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ sa                │ south africa      ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.astype.md b/api-reference-v1-stable/dataframe/dataframe.astype.md
new file mode 100644
index 0000000..fb388a3
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.astype.md
@@ -0,0 +1,222 @@
+---
+description: Cast column of a DataFrame to a specified dtype.
+---
+
+# DataFrame.astype
+
+danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Cast a float dtype column to int**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+df.ctypes.print()
+
+let df_new = df.astype({column: "A", dtype: "int32"})
+df_new.print()
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//before casting
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+
+
+ //after casting
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20.1              │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47                │ 5                 │ 30.3              │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ int32                ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Casting a string column of numbers to int**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["20", "13", "45", "90"] }
+
+let df = new dfd.DataFrame(data)
+let df_new = df.astype({column: "D", dtype: "int32"})
+df_new.print()
+
+df_new.ctypes.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ 13                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ 45                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+**Note: **Casting a string column of alphabets/words to numeric form will return NaNs as values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+let df_new = df.astype({column: "D", dtype: "int32"})
+df_new.print()
+
+df_new.ctypes.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.axes.md b/api-reference-v1-stable/dataframe/dataframe.axes.md
new file mode 100644
index 0000000..4bdc319
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.axes.md
@@ -0,0 +1,47 @@
+---
+description: >-
+  Return an Object containing the axes of the DataFrame. It has the row axis
+  labels and column axis labels as the only members. They are returned in that
+  order.
+---
+
+# DataFrame.axes
+
+danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+**       **return** Object**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+            
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+
+console.log(df.axis)
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.drop.md b/api-reference-v1-stable/dataframe/dataframe.drop.md
new file mode 100644
index 0000000..2376308
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.drop.md
@@ -0,0 +1,143 @@
+---
+description: >-
+  Drop specified labels from rows or columns.Remove rows or columns by
+  specifying label names and corresponding axis.
+---
+
+# DataFrame.drop
+
+danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
+| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Drop columns by specifying the names
+
+By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20],
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.drop({ columns: ["C", "B"], inplace: true });
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ a                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ b                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ c                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop rows by specifying int labels/index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3, -20],
+    "B": [34, -4, 5, 6],
+    "C": [20, 20, 30, 30],
+    "D": ["a", "b", "c", "c"]
+}
+
+let df = new dfd.DataFrame(data)
+df.drop({ index: [0, 2], inplace: true });
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 30                │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop rows by specifying string labels/index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20],
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.drop({ index: ["a", "c"], inplace: true });
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 30                │ -4                │ 20                │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ -20               │ 6                 │ 30                │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.dtypes.md b/api-reference-v1-stable/dataframe/dataframe.dtypes.md
new file mode 100644
index 0000000..6e856d5
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.dtypes.md
@@ -0,0 +1,100 @@
+---
+description: >-
+  Return the inferred column types in the DataFrame. This returns a Series with
+  the data type of each column. The result’s index is the original DataFrame’s
+  columns.
+---
+
+# DataFrame.ctypes
+
+danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
+
+**Returns:**
+
+**       **return**  Series**
+
+## **Examples**
+
+Returns auto-generated** **index of a** **DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+
+let df = new dfd.DataFrame(data)
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Columns with mixed types are represented as **string.**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40],
+            "D": ["a", "b", 20, 2.5]}
+            
+let df = new dfd.DataFrame(data)
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note**: To cast a type, use the [astype](dataframe.astype.md) method. 
diff --git a/api-reference-v1-stable/dataframe/dataframe.index.md b/api-reference-v1-stable/dataframe/dataframe.index.md
new file mode 100644
index 0000000..0983db8
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.index.md
@@ -0,0 +1,69 @@
+---
+description: The index (row labels) of the DataFrame.
+---
+
+# DataFrame.index
+
+danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+
+## **Examples**
+
+Returns auto-generated** **index of a** **DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+console.log(df.index);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[0, 1, 2, 3]
+```
+{% endtab %}
+{% endtabs %}
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
+
+console.log(df.index);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[ 'r1', 'r2', 'r3', 'r4' ]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.ndim.md b/api-reference-v1-stable/dataframe/dataframe.ndim.md
new file mode 100644
index 0000000..002da15
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.ndim.md
@@ -0,0 +1,46 @@
+---
+description: >-
+  Return an int representing the number of axes / array dimensions. Returns 1 if
+  Series. Otherwise return 2 for DataFrame.
+---
+
+# DataFrame.ndim
+
+danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+**       **return** Int**
+
+**Note:** To get the **shape **of the DataFrame use the .[shape](dataframe.shape.md) property.
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+console.log(df.ndim)
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+2
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.nunique-1.md b/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
new file mode 100644
index 0000000..f06d4ed
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
@@ -0,0 +1,98 @@
+# DataFrame.nunique
+
+danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
+
+| Parameters | Type | Description                            | Default |
+| ---------- | ---- | -------------------------------------- | ------- |
+| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+### Return number of unique values along column axis (axis=1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.nunique().print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 4 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Return number of unique values in row axis (axis=0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.nunique(axis=0).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note: **To get the unique elements along an axis, use** **[DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference-v1-stable/dataframe/dataframe.print.md b/api-reference-v1-stable/dataframe/dataframe.print.md
new file mode 100644
index 0000000..d03232d
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.print.md
@@ -0,0 +1,105 @@
+---
+description: >-
+  Pretty prints default (10) number of rows in a DataFrame or Series to the
+  console
+---
+
+# DataFrame.print
+
+danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 4, 5] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Abs               │ Count             │ country code      ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20.2              │ 34                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 4                 │ FR                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ GH                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Using JavaScript default **console.log** to display a DataFrame will return the Object instead unless you manually cast it to a String
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 4, 5, 6] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+console.log(df)
+console.log(String(df));
+// console.log(df + ""); //same result as above
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+DataFrame {
+  '$isSeries': false,
+  '$config': Configs {
+    tableDisplayConfig: {},
+    tableMaxRow: 10,
+    tableMaxColInConsole: 21,
+    dtypeTestLim: 7,
+    lowMemoryMode: false
+  },
+  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
+  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
+  '$index': [ 0, 1, 2 ],
+  '$dtypes': [ 'float32', 'int32', 'string' ],
+  '$columns': [ 'Abs', 'Count', 'country code' ]
+}
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Abs               │ Count             │ country code      ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20.2              │ 34                │ NG                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ FR                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ GH                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.rename.md b/api-reference-v1-stable/dataframe/dataframe.rename.md
new file mode 100644
index 0000000..6625bc1
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.rename.md
@@ -0,0 +1,148 @@
+---
+description: >-
+  Change axes labels. Object values must be unique (1-to-1). Labels not
+  contained in a dict / Series will be left as-is. Extra labels listed don’t
+  throw an error.
+---
+
+# DataFrame.rename
+
+danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
+| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### Rename columns 
+
+By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -4, 5],
+             "C": [20, 2, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.rename({ mapper: {"A": "new_name"},inplace: true })
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ new_name          │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Rename more the one column at time
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -4, 6],
+             "C": [20, 2, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ new_name          │ B                 │ new_c             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Rename index by labels
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, -4, 6],
+    "C": [20, 2, 30]
+}
+
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
+df = df.rename({ mapper: { "a": 0 }, axis: 0 })
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.reset_index.md b/api-reference-v1-stable/dataframe/dataframe.reset_index.md
new file mode 100644
index 0000000..00239fc
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.reset_index.md
@@ -0,0 +1,73 @@
+---
+description: Reset the index of the DataFrame, and use the default one instead.
+---
+
+# DataFrame.reset_index
+
+danfo.DataFrame.**reset_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object | <p><strong>{ </strong></p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, 5, 6],
+    "C": [20, 3, 30]
+}
+
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
+df.print()
+
+df.reset_index({ inplace: true }) //inplace
+//df = df.reset_index() //not in inplace
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md b/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
new file mode 100644
index 0000000..127b433
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
@@ -0,0 +1,94 @@
+---
+description: Return a subset of the DataFrame’s columns based on the column dtypes.
+---
+
+# DataFrame.select_dtypes
+
+danfo.DataFrame.**select_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
+
+| Parameters | Type  | Description                      | Default |
+| ---------- | ----- | -------------------------------- | ------- |
+| include    | Array | List of column dtypes to return  |         |
+
+**Returns:**
+
+**       **return**  DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40],
+            "D": ["a", "b", 20, 2.5]}
+            
+let df = new dfd.DataFrame(data)
+
+float_df = df.select_dtypes(['float32'])
+float_df.print()
+
+mix_df = df.select_dtypes(include=['float32', "int32"])
+mix_df.print()
+
+str_df = df.select_dtypes(include=['string'])
+str_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//select float column(s)
+╔═══╤══════════════════════╗
+║   │ A                    ║
+╟───┼──────────────────────╢
+║ 0 │ -20.1                ║
+╟───┼──────────────────────╢
+║ 1 │ 30                   ║
+╟───┼──────────────────────╢
+║ 2 │ 47.3                 ║
+╟───┼──────────────────────╢
+║ 3 │ -20                  ║
+╚═══╧══════════════════════╝
+
+
+ //select both float and int columns
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//return string type column
+╔═══╤══════════════════════╗
+║   │ D                    ║
+╟───┼──────────────────────╢
+║ 0 │ a                    ║
+╟───┼──────────────────────╢
+║ 1 │ b                    ║
+╟───┼──────────────────────╢
+║ 2 │ 20                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2.5                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.set_index.md b/api-reference-v1-stable/dataframe/dataframe.set_index.md
new file mode 100644
index 0000000..e82c213
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.set_index.md
@@ -0,0 +1,176 @@
+---
+description: >-
+  Set the DataFrame index using existing columns or an array (of the equal
+  length).
+---
+
+# DataFrame.set_index
+
+danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
+| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
+
+## **Examples**
+
+### **Setting index to a column in the DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
+df.print()
+
+df.set_index({column: "A", inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ -20        │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 30         │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### ****
+
+### **Setting index to a column in the DataFrame and dropping the column**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
+df.print()
+
+df.set_index({column: "A", drop: true, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ -20        │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 30         │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Set index to an array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_index = ["a", "b", "c"]
+df.set_index({index: new_index, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
diff --git a/api-reference-v1-stable/dataframe/dataframe.shape.md b/api-reference-v1-stable/dataframe/dataframe.shape.md
new file mode 100644
index 0000000..3e8486f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.shape.md
@@ -0,0 +1,43 @@
+---
+description: Returns an Array representing the dimensionality of the DataFrame.
+---
+
+# DataFrame.shape
+
+danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+**       **return** Int**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+
+console.log(df.shape)
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[4,3]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_index.md b/api-reference-v1-stable/dataframe/dataframe.sort_index.md
new file mode 100644
index 0000000..0829afe
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.sort_index.md
@@ -0,0 +1,73 @@
+---
+description: Sort DataFrame by index
+---
+# DataFrame.sort_index
+
+DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
+
+| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Sort DataFrame by a column in ascending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[0, 2, 4, "b"],
+            [360, 180, 360, "a"],
+            [2, 4, 6, "c"]]
+
+let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
+                           index: ["b", "a", "c"] })
+df.print()
+
+let df2 = df.sort_index({ ascending: false })
+df2.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ col1              │ col2              │ col3              │ col4              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ 2                 │ 4                 │ 6                 │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after sorting in descending order
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ col1              │ col2              │ col3              │ col4              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ 2                 │ 4                 │ 6                 │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ 360               │ 180               │ 360               │ a                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_values.md b/api-reference-v1-stable/dataframe/dataframe.sort_values.md
new file mode 100644
index 0000000..8da51fe
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.sort_values.md
@@ -0,0 +1,99 @@
+---
+description: Sort a Dataframe in ascending or descending order by a specified column name.
+---
+
+# DataFrame.sort_values
+
+danfo.DataFrame.**sort_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending: </strong>Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Sort DataFrame by a column in ascending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.sort_values({by: "C", inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Sort DataFrame by a column in descending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.sort_values({by: "B", inplace: true, ascending: false})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.tensor.md b/api-reference-v1-stable/dataframe/dataframe.tensor.md
new file mode 100644
index 0000000..125198f
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.tensor.md
@@ -0,0 +1,107 @@
+---
+description: Return a Tensorflow tensor representation of the DataFrame. Only the values in the DataFrame will be returned, the axes labels will be removed.
+---
+# DataFrame.tensor
+
+danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+**       **return** tf.tensor**
+
+> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care. 
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30]}
+             
+let df = new dfd.DataFrame(data)
+let tf_tensor = df.tensor
+
+console.log(tf_tensor.dtype);
+
+console.log(tf_tensor);
+
+tf_tensor.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32
+Tensor
+    [[-20       , 34, 20],
+     [30        , -4, 20],
+     [47.2999992, 5 , 30],
+     [-20       , 6 , 30]]
+```
+{% endtab %}
+{% endtabs %}
+
+String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 5, 6] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+let tf_tensor = df.tensor
+
+console.log(tf_tensor.dtype);
+
+console.log(tf_tensor);
+
+tf_tensor.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32 
+
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 3, 3 ],
+  dtype: 'float32',
+  size: 9,
+  strides: [ 3 ],
+  dataId: {},
+  id: 0,
+  rankType: '2'
+}
+
+Tensor
+    [[20.2000008, 34, NaN],
+     [30        , 4 , NaN],
+     [47.2999992, 5 , NaN]]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_csv.md b/api-reference-v1-stable/dataframe/dataframe.to_csv.md
new file mode 100644
index 0000000..ee31a5e
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.to_csv.md
@@ -0,0 +1,114 @@
+---
+description: Convert DataFrame data to a comma-separated values (csv)
+---
+# DataFrame.to_csv
+
+DataFrame.**to_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
+| -------------- | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+****
+
+### Convert DataFrame to CSV string and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const csv = df.to_csv({ download: false });
+console.log(csv);
+
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ filePath: "testOut.csv"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and download file in browser
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ fileName: "testOut.csv", download: true});
+```
+
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_excel.md b/api-reference-v1-stable/dataframe/dataframe.to_excel.md
new file mode 100644
index 0000000..4adf437
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.to_excel.md
@@ -0,0 +1,53 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# DataFrame.to_excel
+
+> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in a browser
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ fileName: "testOut.xlsx"});
+```
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_json.md b/api-reference-v1-stable/dataframe/dataframe.to_json.md
new file mode 100644
index 0000000..59f7e34
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.to_json.md
@@ -0,0 +1,126 @@
+---
+description: Convert DataFrame to JSON format
+---
+# DataFrame.to_json
+
+> DataFrame.**to_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
+| -------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+
+### Convert DataFrame/Series to JSON and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = df.to_json({ download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = df.to_json({
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON  and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ filePath: "./testOutput.json" });
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ fileName: "test_out.json" });
+```
diff --git a/api-reference-v1-stable/dataframe/dataframe.values.md b/api-reference-v1-stable/dataframe/dataframe.values.md
new file mode 100644
index 0000000..6b7ea1d
--- /dev/null
+++ b/api-reference-v1-stable/dataframe/dataframe.values.md
@@ -0,0 +1,50 @@
+---
+description: Return a the JavaScript array representation of the DataFrame.
+---
+
+# DataFrame.values
+
+danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+**       **return** Array**
+
+**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.  
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+            
+let df = new dfd.DataFrame(data)
+
+console.log(df.values)
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  [ -20.1, 34, 20 ],
+  [ 30, -4, -20 ],
+  [ 47.3, 5, 30 ],
+  [ -20, 6, -40 ]
+]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/general-functions/README.md b/api-reference-v1-stable/general-functions/README.md
new file mode 100644
index 0000000..07815b0
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/README.md
@@ -0,0 +1,27 @@
+---
+description: Top level functions that can be called from the Danfo namespace
+---
+
+# General Functions
+
+### Data manipulations
+
+|                                       |                                                                                                 |
+| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
+| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
+| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
+| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
+
+### Data Processing/Normalization
+
+| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
+| ----------------------------------------- | ---------------------------------------------------------------------- |
+| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
+| [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
+| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
+
+### Top-level dealing with datetime
+
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
+| ------------------------------------ | --------------------------------------- |
+| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference-v1-stable/general-functions/danfo.concat.md b/api-reference-v1-stable/general-functions/danfo.concat.md
new file mode 100644
index 0000000..19c3d8e
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.concat.md
@@ -0,0 +1,187 @@
+---
+description: Concatenate DataFrames and Series along an axis
+---
+
+# danfo.concat
+
+danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
+| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Concatenate two DataFrames along column axis (1) **
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
+com_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Concatenate two DataFrames along row axis (0) **
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+com_df.print(10)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Concatenate two Series along row axis (0) **
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+com_df.print(10)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
diff --git a/api-reference-v1-stable/general-functions/danfo.date_range.md b/api-reference-v1-stable/general-functions/danfo.date_range.md
new file mode 100644
index 0000000..32d18b8
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.date_range.md
@@ -0,0 +1,111 @@
+---
+description: Return a fixed frequency Dates spread between start and end parameters.
+---
+
+# danfo.date_range
+
+danfo.**date_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
+| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+console.log(data);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+        console.log(data);
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  '1/1/2018, 12:00:00 AM',
+  '2/1/2018, 12:00:00 AM',
+  '3/1/2018, 12:00:00 AM',
+  '4/1/2018, 12:00:00 AM',
+  '5/1/2018, 12:00:00 AM'
+]
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
+console.log(data);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  '1/1/2018, 12:00:00 AM',
+  '1/1/2019, 12:00:00 AM',
+  '1/1/2020, 12:00:00 AM',
+  '1/1/2021, 12:00:00 AM',
+  '1/1/2022, 12:00:00 AM',
+  '1/1/2023, 12:00:00 AM',
+  '1/1/2024, 12:00:00 AM',
+  '1/1/2025, 12:00:00 AM',
+  '1/1/2026, 12:00:00 AM',
+  '1/1/2027, 12:00:00 AM',
+  '1/1/2028, 12:00:00 AM',
+  '1/1/2029, 12:00:00 AM'
+]
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.get_dummies.md b/api-reference-v1-stable/general-functions/danfo.get_dummies.md
new file mode 100644
index 0000000..793aa58
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.get_dummies.md
@@ -0,0 +1,188 @@
+---
+description: Convert categorical variable into dummy/indicator variables.
+---
+
+# danfo.get_dummies
+
+danfo.**get_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
+| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
+| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+### **Convert Series to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
+let sf1 = new dfd.Series(datasf)
+
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Convert all categorical columns in a DataFrame to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let dum_df = dfd.get_dummies(df)
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruits            │ Count             │ Country           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ pear              │ 20                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ mango             │ 30                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ pawpaw            │ 89                │ GH                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ mango             │ 12                │ RU                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bean              │ 30                │ RU                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after dummification
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Count             │ fruits_pear       │ fruits_mango      │ ...               │ fruits_bean       │ Country_NG        │ Country_GH        │ Country_RU        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20                │ 1                 │ 0                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 0                 │ 1                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 89                │ 0                 │ 0                 │ ...               │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ 0                 │ 1                 │ ...               │ 0                 │ 0                 │ 0                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 30                │ 0                 │ 0                 │ ...               │ 1                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Convert a specific column in a DataFrame to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruits            │ Count             │ Country           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ pear              │ 20                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ mango             │ 30                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ pawpaw            │ 89                │ GH                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ mango             │ 12                │ RU                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bean              │ 30                │ RU                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after dummification
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Country           │ fruits_pear       │ fruits_mango      │ fruits_pawpaw     │ fruits_bean       ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20                │ NG                │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ NG                │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 89                │ GH                │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ RU                │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 30                │ RU                │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
+{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.labelencoder.md b/api-reference-v1-stable/general-functions/danfo.labelencoder.md
new file mode 100644
index 0000000..12d57ee
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.labelencoder.md
@@ -0,0 +1,140 @@
+---
+description: Encode target labels with value between 0 and n_classes-1.
+---
+
+# danfo.LabelEncoder
+
+class danfo.**LabelEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n_classes -1. This is mostly used as a preprocessing step before most machine learning tasks. 
+
+The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method. 
+
+## **Examples**
+
+### **Label Encode values in a Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = ["dog","cat","man","dog","cat","man","man","cat"]
+let series = new dfd.Series(data)
+
+let encode = new dfd.LabelEncoder()
+
+encode.fit(series)
+console.log(encode);
+
+let sf_enc = encode.transform(series.values)
+sf_enc.print()
+
+let new_sf = encode.transform(["dog","man"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 1                    ║
+╟───┼──────────────────────╢
+║ 5 │ 2                    ║
+╟───┼──────────────────────╢
+║ 6 │ 2                    ║
+╟───┼──────────────────────╢
+║ 7 │ 1                    ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+**Labels not found in the original data used for fitting are represented with -1**
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.LabelEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","man"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.merge.md b/api-reference-v1-stable/general-functions/danfo.merge.md
new file mode 100644
index 0000000..82a9a3d
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.merge.md
@@ -0,0 +1,453 @@
+---
+description: >-
+  Merge DataFrame or named Series objects with a database-style join.The join is
+  done on columns or indexes.
+---
+
+# danfo.merge
+
+danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
+
+**Returns:**
+
+**       **return** DataFrame**
+
+## **Examples**
+
+**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
+
+danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
+
+For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
+
+### **Merging by a single key found in both axis**
+
+By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+ //first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //Second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After inner join on column 'Key1'
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Inner Join/Merge by multiple keys found in both axis**
+
+Merging by two keys takes into consideration the keys appearing in both`left` and `right DataFrame.`
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", 'Key2'], how: "inner"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After inner join on two keys
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
+
+### Outer join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1"], how: "outer"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//First DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //Second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//After outer join
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Left join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", "Key2"], how: "left"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ After left join
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K2                │ K2                │ A3                │ B3                │ NaN               │ NaN               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Right join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", "Key2"], how: "right"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//after right join
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ NaN               │ NaN               │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
+{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md b/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
new file mode 100644
index 0000000..06add63
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
@@ -0,0 +1,125 @@
+---
+description: Transform features by scaling each feature to a range of max and min values.
+---
+
+# danfo.MinMaxScaler
+
+class danfo.**MinMaxScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
+
+This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
+
+The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method. 
+
+## **Examples**
+
+### Standardize DataFrame Object using MinMaxScaler
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let scaler = new dfd.MinMaxScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 20, 10],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+scaler.fit(df)
+
+let df_enc = scaler.transform(df)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 20                │ 30                │ 20                │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Standardize Series Object Using MinMaxScaler
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let scaler = new dfd.MinMaxScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 20, 10],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+let sf = df.iloc({columns: ["0"]})
+
+scaler.fit(sf)
+
+let df_enc = scaler.transform(sf)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+ Shape: (3,1) 
+
+╔═══╤═══════════════════╗
+║   │ 0                 ║
+╟───┼───────────────────╢
+║ 0 │ 1                 ║
+╟───┼───────────────────╢
+║ 1 │ 0.19191919267...  ║
+╟───┼───────────────────╢
+║ 2 │ 0                 ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.onehotencoder.md b/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
new file mode 100644
index 0000000..fdb8d4a
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
@@ -0,0 +1,148 @@
+---
+description: Encode categorical features as a one-hot numeric array.
+---
+
+# danfo.OneHotEncoder
+
+class danfo.**OneHotEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
+
+danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
+
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+
+## **Examples**
+
+### **Convert Series to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.OneHotEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","bean"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+**Labels not found in the original data used for fitting are represented with 0s all through**
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.OneHotEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","woman", "cup"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.standardscaler.md b/api-reference-v1-stable/general-functions/danfo.standardscaler.md
new file mode 100644
index 0000000..298d86e
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.standardscaler.md
@@ -0,0 +1,132 @@
+---
+description: Standardize features by removing the mean and scaling to unit variance.
+---
+
+# danfo.StandardScaler
+
+class danfo.**StandScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+
+> z = (x - u) / s
+
+where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
+
+The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method. 
+
+## **Examples**
+
+### Standardize Series Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let scaler = new dfd.StandardScaler()
+
+let sf = new dfd.Series([100,1000,2000, 3000])
+sf.print()
+
+scaler.fit(sf)
+
+let sf_enc = scaler.transform(sf)
+sf_enc.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 100                  ║
+╟───┼──────────────────────╢
+║ 1 │ 1000                 ║
+╟───┼──────────────────────╢
+║ 2 │ 2000                 ║
+╟───┼──────────────────────╢
+║ 3 │ 3000                 ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1.1375757455825806  ║
+╟───┼──────────────────────╢
+║ 1 │ -0.4191068708896637  ║
+╟───┼──────────────────────╢
+║ 2 │ 0.37919193506240845  ║
+╟───┼──────────────────────╢
+║ 3 │ 1.1774907112121582   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Standardize DataFrame Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let scaler = new dfd.StandardScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 89, 12],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+scaler.fit(df)
+
+let df_enc = scaler.transform(df)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 20                │ 30                │ 20                │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.to_datetime.md b/api-reference-v1-stable/general-functions/danfo.to_datetime.md
new file mode 100644
index 0000000..7012100
--- /dev/null
+++ b/api-reference-v1-stable/general-functions/danfo.to_datetime.md
@@ -0,0 +1,141 @@
+---
+description: Converts an array of Date time string to Date object.
+---
+
+# danfo.toDateTime
+
+danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type          | Description                                                                                                       | Default |
+| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
+| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+Converts a **Series** of Date strings to Date time and get time properties
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
+let sf = new dfd.Series(data)
+sf.print()
+
+let dt = dfd.toDateTime(data)
+
+dt.month().print()
+dt.month_name().print()
+dt.weekdays().print()
+dt.day().print()
+dt.seconds().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
+//Int representation for month
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
+
+//string representation for month
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
+
+//string representation for day of the week
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
+//Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+{% endhint %}
diff --git a/api-reference-v1-stable/groupby.md b/api-reference-v1-stable/groupby.md
new file mode 100644
index 0000000..1db2e52
--- /dev/null
+++ b/api-reference-v1-stable/groupby.md
@@ -0,0 +1,122 @@
+---
+description: >-
+  GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby(),
+  danfo.Series.groupby()
+---
+
+# Groupby
+
+### Indexing, iteration
+
+| [`GroupBy.__iter__`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.__iter__.html#pandas.core.groupby.GroupBy.__iter__)\(\) | Groupby iterator. |
+| :--- | :--- |
+| [`GroupBy.groups`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.groups.html#pandas.core.groupby.GroupBy.groups) | Dict {group name -&gt; group labels}. |
+| [`GroupBy.indices`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.indices.html#pandas.core.groupby.GroupBy.indices) | Dict {group name -&gt; group indices}. |
+| [`GroupBy.get_group`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.get_group.html#pandas.core.groupby.GroupBy.get_group)\(name\[, obj\]\) | Construct DataFrame from group with provided name. |
+
+| [`Grouper`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Grouper.html#pandas.Grouper)\(\*args, \*\*kwargs\) | A Grouper allows the user to specify a groupby instruction for an object. |
+| :--- | :--- |
+
+
+### Function application
+
+| [`GroupBy.apply`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.apply.html#pandas.core.groupby.GroupBy.apply)\(func, \*args, \*\*kwargs\) | Apply function func group-wise and combine the results together. |
+| :--- | :--- |
+| [`GroupBy.agg`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.agg.html#pandas.core.groupby.GroupBy.agg)\(func, \*args, \*\*kwargs\) |  |
+| [`SeriesGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.html#pandas.core.groupby.SeriesGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
+| [`DataFrameGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html#pandas.core.groupby.DataFrameGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
+| [`SeriesGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html#pandas.core.groupby.SeriesGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values |
+| [`DataFrameGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html#pandas.core.groupby.DataFrameGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values |
+| [`GroupBy.pipe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pipe.html#pandas.core.groupby.GroupBy.pipe)\(func, \*args, \*\*kwargs\) | Apply a function func with arguments to this GroupBy object and return the function’s result. |
+
+### Computations / descriptive stats
+
+| [`GroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.all.html#pandas.core.groupby.GroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
+| :--- | :--- |
+| [`GroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.any.html#pandas.core.groupby.GroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
+| [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
+| [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
+| [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
+| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
+| [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
+| [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
+| [`GroupBy.last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.last.html#pandas.core.groupby.GroupBy.last)\(\[numeric\_only, min\_count\]\) | Compute last of group values. |
+| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max)\(\[numeric\_only, min\_count\]\) | Compute max of group values. |
+| [`GroupBy.mean`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean)\(\[numeric\_only\]\) | Compute mean of groups, excluding missing values. |
+| [`GroupBy.median`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.median.html#pandas.core.groupby.GroupBy.median)\(\[numeric\_only\]\) | Compute median of groups, excluding missing values. |
+| [`GroupBy.min`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.min.html#pandas.core.groupby.GroupBy.min)\(\[numeric\_only, min\_count\]\) | Compute min of group values. |
+| [`GroupBy.ngroup`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ngroup.html#pandas.core.groupby.GroupBy.ngroup)\(\[ascending\]\) | Number each group from 0 to the number of groups - 1. |
+| [`GroupBy.nth`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.nth.html#pandas.core.groupby.GroupBy.nth)\(n\[, dropna\]\) | Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. |
+| [`GroupBy.ohlc`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ohlc.html#pandas.core.groupby.GroupBy.ohlc)\(\) | Compute open, high, low and close values of a group, excluding missing values. |
+| [`GroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pad.html#pandas.core.groupby.GroupBy.pad)\(\[limit\]\) | Forward fill the values. |
+| [`GroupBy.prod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.prod.html#pandas.core.groupby.GroupBy.prod)\(\[numeric\_only, min\_count\]\) | Compute prod of group values. |
+| [`GroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.rank.html#pandas.core.groupby.GroupBy.rank)\(\[method, ascending, na\_option, …\]\) | Provide the rank of values within each group. |
+| [`GroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pct_change.html#pandas.core.groupby.GroupBy.pct_change)\(\[periods, fill\_method, …\]\) | Calculate pct\_change of each value to previous entry in group. |
+| [`GroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.size.html#pandas.core.groupby.GroupBy.size)\(\) | Compute group sizes. |
+| [`GroupBy.sem`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sem.html#pandas.core.groupby.GroupBy.sem)\(\[ddof\]\) | Compute standard error of the mean of groups, excluding missing values. |
+| [`GroupBy.std`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.std.html#pandas.core.groupby.GroupBy.std)\(\[ddof\]\) | Compute standard deviation of groups, excluding missing values. |
+| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum)\(\[numeric\_only, min\_count\]\) | Compute sum of group values. |
+| [`GroupBy.var`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.var.html#pandas.core.groupby.GroupBy.var)\(\[ddof\]\) | Compute variance of groups, excluding missing values. |
+| [`GroupBy.tail`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.tail.html#pandas.core.groupby.GroupBy.tail)\(\[n\]\) | Return last n rows of each group. |
+
+The following methods are available in both `SeriesGroupBy` and `DataFrameGroupBy` objects, but may differ slightly, usually in that the `DataFrameGroupBy` version usually permits the specification of an axis argument, and often an argument indicating whether to restrict application to columns of a specific data type.
+
+| [`DataFrameGroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.all.html#pandas.core.groupby.DataFrameGroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
+| :--- | :--- |
+| [`DataFrameGroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.any.html#pandas.core.groupby.DataFrameGroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
+| [`DataFrameGroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.backfill.html#pandas.core.groupby.DataFrameGroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
+| [`DataFrameGroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.html#pandas.core.groupby.DataFrameGroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
+| [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
+| [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
+| [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
+| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
+| [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
+| [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
+| [`DataFrameGroupBy.fillna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.html#pandas.core.groupby.DataFrameGroupBy.fillna) | Fill NA/NaN values using the specified method. |
+| [`DataFrameGroupBy.filter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html#pandas.core.groupby.DataFrameGroupBy.filter)\(func\[, dropna\]\) | Return a copy of a DataFrame excluding filtered elements. |
+| [`DataFrameGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.hist.html#pandas.core.groupby.DataFrameGroupBy.hist) | Make a histogram of the DataFrame’s. |
+| [`DataFrameGroupBy.idxmax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.html#pandas.core.groupby.DataFrameGroupBy.idxmax) | Return index of first occurrence of maximum over requested axis. |
+| [`DataFrameGroupBy.idxmin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.html#pandas.core.groupby.DataFrameGroupBy.idxmin) | Return index of first occurrence of minimum over requested axis. |
+| [`DataFrameGroupBy.mad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mad.html#pandas.core.groupby.DataFrameGroupBy.mad) | Return the mean absolute deviation of the values for the requested axis. |
+| [`DataFrameGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html#pandas.core.groupby.DataFrameGroupBy.nunique)\(\[dropna\]\) | Return DataFrame with counts of unique elements in each position. |
+| [`DataFrameGroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pad.html#pandas.core.groupby.DataFrameGroupBy.pad)\(\[limit\]\) | Forward fill the values. |
+| [`DataFrameGroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.html#pandas.core.groupby.DataFrameGroupBy.pct_change)\(\[periods, …\]\) | Calculate pct\_change of each value to previous entry in group. |
+| [`DataFrameGroupBy.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.plot.html#pandas.core.groupby.DataFrameGroupBy.plot) | Class implementing the .plot attribute for groupby objects. |
+| [`DataFrameGroupBy.quantile`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.html#pandas.core.groupby.DataFrameGroupBy.quantile)\(\[q, interpolation\]\) | Return group values at the given quantile, a la numpy.percentile. |
+| [`DataFrameGroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.rank.html#pandas.core.groupby.DataFrameGroupBy.rank)\(\[method, ascending, …\]\) | Provide the rank of values within each group. |
+| [`DataFrameGroupBy.resample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.resample.html#pandas.core.groupby.DataFrameGroupBy.resample)\(rule, \*args, \*\*kwargs\) | Provide resampling when using a TimeGrouper. |
+| [`DataFrameGroupBy.sample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.sample.html#pandas.core.groupby.DataFrameGroupBy.sample)\(\[n, frac, replace, …\]\) | Return a random sample of items from each group. |
+| [`DataFrameGroupBy.shift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.shift.html#pandas.core.groupby.DataFrameGroupBy.shift)\(\[periods, freq, …\]\) | Shift each group by periods observations. |
+| [`DataFrameGroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.size.html#pandas.core.groupby.DataFrameGroupBy.size)\(\) | Compute group sizes. |
+| [`DataFrameGroupBy.skew`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.skew.html#pandas.core.groupby.DataFrameGroupBy.skew) | Return unbiased skew over requested axis. |
+| [`DataFrameGroupBy.take`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.take.html#pandas.core.groupby.DataFrameGroupBy.take) | Return the elements in the given _positional_ indices along an axis. |
+| [`DataFrameGroupBy.tshift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.tshift.html#pandas.core.groupby.DataFrameGroupBy.tshift) | \(DEPRECATED\) Shift the time index, using the index’s frequency if available. |
+
+The following methods are available only for `SeriesGroupBy` objects.
+
+| [`SeriesGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html#pandas.core.groupby.SeriesGroupBy.hist) | Draw histogram of the input series using matplotlib. |
+| :--- | :--- |
+| [`SeriesGroupBy.nlargest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.html#pandas.core.groupby.SeriesGroupBy.nlargest) | Return the largest n elements. |
+| [`SeriesGroupBy.nsmallest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.html#pandas.core.groupby.SeriesGroupBy.nsmallest) | Return the smallest n elements. |
+| [`SeriesGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nunique.html#pandas.core.groupby.SeriesGroupBy.nunique)\(\[dropna\]\) | Return number of unique elements in the group. |
+| [`SeriesGroupBy.unique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html#pandas.core.groupby.SeriesGroupBy.unique) | Return unique values of Series object. |
+| [`SeriesGroupBy.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.html#pandas.core.groupby.SeriesGroupBy.value_counts)\(\[normalize, …\]\) |  |
+| [`SeriesGroupBy.is_monotonic_increasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing) | Alias for is\_monotonic. |
+| [`SeriesGroupBy.is_monotonic_decreasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing) | Return boolean if values in the object are monotonic\_decreasing. |
+
+The following methods are available only for `DataFrameGroupBy` objects.
+
+| [`DataFrameGroupBy.corrwith`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html#pandas.core.groupby.DataFrameGroupBy.corrwith) | Compute pairwise correlation. |
+| :--- | :--- |
+| [`DataFrameGroupBy.boxplot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html#pandas.core.groupby.DataFrameGroupBy.boxplot)\(\[subplots, column, …\]\) | Make box plots from DataFrameGroupBy data. |
+
diff --git a/api-reference-v1-stable/groupby/README.md b/api-reference-v1-stable/groupby/README.md
new file mode 100644
index 0000000..9a1db65
--- /dev/null
+++ b/api-reference-v1-stable/groupby/README.md
@@ -0,0 +1,34 @@
+---
+description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby()'
+---
+
+# Groupby
+
+### Indexing, iteration
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
+
+### Function application
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.agg`](groupby.agg.md) | Aggregate using one or more operations over the specified axis. |
+
+### Computations / descriptive stats
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
+| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
+| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
+| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
+| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
+| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
+| [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
+| [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
+| [`GroupBy.std`](groupby.std.md) | Compute standard deviation of groups, excluding missing values. |
+| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum) | Compute sum of group values. |
+| [`GroupBy.var`](groupby.var.md) | Compute variance of groups, excluding missing values. |
+
diff --git a/api-reference-v1-stable/groupby/groupby.agg.md b/api-reference-v1-stable/groupby/groupby.agg.md
new file mode 100644
index 0000000..f9d6a5f
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.agg.md
@@ -0,0 +1,93 @@
+---
+description: Obtain data aggregate per groups for each column
+---
+
+# Groupby.agg
+
+> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
+
+| Parameters | Type   | Description                                                                                               | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
+| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
+
+**Return: **DataFrame
+
+**Examples**
+
+Using mean and sum aggregate
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.agg({"C":"mean","D":"sum"}).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  │ 27                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Mean and Sum aggregate on dataframe groupby two column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.agg({"C":"mean","D":"sum"}).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference-v1-stable/groupby/groupby.apply.md b/api-reference-v1-stable/groupby/groupby.apply.md
new file mode 100644
index 0000000..2150a21
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.apply.md
@@ -0,0 +1,84 @@
+---
+description: Apply custom aggregate function to grouped data
+---
+
+# Groupby.apply
+
+danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function \| function to be applied to grouped data | Undefined |  |
+
+**Returns:**
+
+       ****return **DataFrame**
+
+## **Examples**
+
+Using apply to create a custom function that subtract the minimum value of each grouped data from each of its values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+      'A': ['foo', 'bar', 'foo', 'bar',
+
+        'foo', 'bar', 'foo', 'foo'],
+
+      'B': ['one', 'one', 'two', 'three',
+
+        'two', 'two', 'one', 'three'],
+
+      'C': [1, 3, 2, 4, 5, 2, 6, 7],
+
+      'D': [3, 2, 4, 1, 5, 6, 7, 8]
+    };
+let df = new dfd.DataFrame(data);
+let group_df = df.groupby(["A", "B"]);
+
+const subMin = (x) => {
+  return x.sub(x.min());
+};
+
+group_df.apply(subMin).print();
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_apply           │ D_apply           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 5                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 3                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+\*\*\*\*
diff --git a/api-reference-v1-stable/groupby/groupby.col.md b/api-reference-v1-stable/groupby/groupby.col.md
new file mode 100644
index 0000000..02e7cdd
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.col.md
@@ -0,0 +1,105 @@
+---
+description: Obtain the column(s) per groups
+---
+
+# Groupby.col
+
+> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| col\_names | Array | List of column |  |
+
+Returns: Groupby Data structure
+
+Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
+
+**Examples**
+
+Obtain a column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"])
+
+//for more coumns
+grp.col(["C","D"])
+```
+{% endtab %}
+{% endtabs %}
+
+Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
+
+```text
+//it returns the groupby data structure
+GroupBy {
+  key_col: [ 'A' ],
+  col_dict: {
+    foo: [ [Array], [Array], [Array], [Array], [Array] ],
+    bar: [ [Array], [Array], [Array] ]
+  },
+  data: [
+    [ 'foo', 'one', 1, 3 ],
+    [ 'bar', 'one', 3, 2 ],
+    [ 'foo', 'two', 2, 4 ],
+    [ 'bar', 'three', 4, 1 ],
+    [ 'foo', 'two', 5, 5 ],
+    [ 'bar', 'two', 2, 6 ],
+    [ 'foo', 'one', 6, 7 ],
+    [ 'foo', 'three', 7, 8 ]
+  ],
+  column_name: [ 'A', 'B', 'C', 'D' ],
+  data_tensors: {
+    foo: DataFrame {
+      kwargs: [Object],
+      series: false,
+      data: [Array],
+      row_data_tensor: [Tensor],
+      index_arr: [Array],
+      columns: [Array],
+      col_data: [Array],
+      col_data_tensor: [Tensor],
+      col_types: [Array],
+      A: [Getter/Setter],
+      B: [Getter/Setter],
+      C: [Getter/Setter],
+      D: [Getter/Setter]
+    },
+    bar: DataFrame {
+      kwargs: [Object],
+      series: false,
+      data: [Array],
+      row_data_tensor: [Tensor],
+      index_arr: [Array],
+      columns: [Array],
+      col_data: [Array],
+      col_data_tensor: [Tensor],
+      col_types: [Array],
+      A: [Getter/Setter],
+      B: [Getter/Setter],
+      C: [Getter/Setter],
+      D: [Getter/Setter]
+    }
+  },
+  group_col_name: [ 'C' ],
+  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
+}
+```
+
+
+
diff --git a/api-reference-v1-stable/groupby/groupby.count.md b/api-reference-v1-stable/groupby/groupby.count.md
new file mode 100644
index 0000000..36733be
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.count.md
@@ -0,0 +1,175 @@
+---
+description: Count the occurrence of values in columns per groups
+---
+
+# Groupby.count
+
+> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the variance of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+  Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_count           ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_count           │ D_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).count().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_count           │ D_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 1                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.cummax.md b/api-reference-v1-stable/groupby/groupby.cummax.md
new file mode 100644
index 0000000..8231a61
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.cummax.md
@@ -0,0 +1,258 @@
+---
+description: Obtain the cummulative max per groups for each column
+---
+
+# Groupby.cummax
+
+> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative max of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cummax().head().print()
+grp.col(["C"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 4                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cummax().head().print()
+grp.col(["C","D"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cummax          │ D_cummax          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 4                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 4                 │ 6                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 4                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 4                 │ 6                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummax for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cummax().head().print()
+grp.col(["C"]).cummax().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummax for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cummax().head().print()
+grp.col(["C","D"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference-v1-stable/groupby/groupby.cummin.md b/api-reference-v1-stable/groupby/groupby.cummin.md
new file mode 100644
index 0000000..7fd9ed6
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.cummin.md
@@ -0,0 +1,258 @@
+---
+description: Obtain the cummulative minimum per groups for each column
+---
+
+# Groupby.cummin
+
+> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative min of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cummin          │ D_cummin          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 2                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 2                 │ 1                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference-v1-stable/groupby/groupby.cumprod.md b/api-reference-v1-stable/groupby/groupby.cumprod.md
new file mode 100644
index 0000000..af46123
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.cumprod.md
@@ -0,0 +1,258 @@
+---
+description: Obtain the cumulative product per group for each column
+---
+
+# Groupby.cumprod
+
+> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative product of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                │ 420               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               │ 3360              ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumprod         │ D_cumprod         ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 24                │ 12                ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 24                │ 12                ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 21                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference-v1-stable/groupby/groupby.cumsum.md b/api-reference-v1-stable/groupby/groupby.cumsum.md
new file mode 100644
index 0000000..3b2b0e6
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.cumsum.md
@@ -0,0 +1,259 @@
+---
+description: Obtain the cumulative sum per groups for each column
+---
+
+# Groupby.cumsum
+
+> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative sum of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                │ 19                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                │ 27                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumsum          │ D_cumsum          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 9                 │ 9                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 9                 │ 9                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.get_groups.md b/api-reference-v1-stable/groupby/groupby.get_groups.md
new file mode 100644
index 0000000..0cdf912
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.get_groups.md
@@ -0,0 +1,129 @@
+---
+description: Obtain the data for each element of the groupby column
+---
+
+# Groupby.get\_groups
+
+> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
+
+| Parameters | Type | Description | default |
+| :--- | :--- | :--- | :--- |
+| key | Array | element of the groupby column |  |
+
+**Returns**: DataFrame
+
+**Example**
+
+Group the dataframe by column A and obtain the group belonging to the values in column A
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+
+grp.get_groups(["foo"]).print()
+
+grp.get_groups(["bar"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//get groups for key "foo"
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get groups for key "bar"
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ three             │ 4                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+
+grp.get_groups(["foo","one"]).print()
+
+grp.get_groups(["bar","one"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//get_groups(["foo","one"]
+
+
+ Shape: (2,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get_groups(["bar","one"])
+
+
+ Shape: (1,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference-v1-stable/groupby/groupby.max.md b/api-reference-v1-stable/groupby/groupby.max.md
new file mode 100644
index 0000000..6bebae5
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.max.md
@@ -0,0 +1,170 @@
+---
+description: Obtain the maximum value of columns per groups
+---
+
+# Groupby.max
+
+> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
+
+**Parameters: **None
+
+**Returns**: DataFrame
+
+**Example**
+
+Obtain the maximum value for a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_max             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_max             │ D_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 4                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_max             │ D_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference-v1-stable/groupby/groupby.mean.md b/api-reference-v1-stable/groupby/groupby.mean.md
new file mode 100644
index 0000000..add6958
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.mean.md
@@ -0,0 +1,173 @@
+---
+description: Obtain the mean per groups for each column(s)
+---
+
+# Groupby.mean
+
+> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the mean of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+  Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            │ D_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  │ 5.40000009536...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            │ D_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               │ 4.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.min.md b/api-reference-v1-stable/groupby/groupby.min.md
new file mode 100644
index 0000000..0151e64
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.min.md
@@ -0,0 +1,171 @@
+---
+description: Obtain the minimum value per groups for a coumn(s)
+---
+
+# Groupby.min
+
+> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the minimum value for a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_min             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the minimum value for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_min             │ D_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 2                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_min             │ D_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.std.md b/api-reference-v1-stable/groupby/groupby.std.md
new file mode 100644
index 0000000..c792a8e
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.std.md
@@ -0,0 +1,175 @@
+---
+description: Obtain the standard deviation per groups for specified columns
+---
+
+# Groupby.std
+
+> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the standard deviation of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_std             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 2.58843582110...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_std             │ D_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 2.58843582110...  │ 2.07364413533...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 │ 2.64575131106...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).std().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.53553390593...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2.12132034355...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_std             │ D_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.53553390593...  │ 2.82842712474...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2.12132034355...  │ 0.70710678118...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.sum.md b/api-reference-v1-stable/groupby/groupby.sum.md
new file mode 100644
index 0000000..f6f2900
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.sum.md
@@ -0,0 +1,172 @@
+---
+description: Obtain the sum per groups for columns
+---
+
+# Groupby.sum
+
+> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the sum of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_sum             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 21                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_sum             │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 21                │ 27                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 9                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+   Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_sum             │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 7                 │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/groupby/groupby.var.md b/api-reference-v1-stable/groupby/groupby.var.md
new file mode 100644
index 0000000..373109f
--- /dev/null
+++ b/api-reference-v1-stable/groupby/groupby.var.md
@@ -0,0 +1,175 @@
+---
+description: Obtain the variance per groups for a specified column
+---
+
+# Groupby.var
+
+> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the variance of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_var             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 6.7               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_var             │ D_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 6.7               │ 4.3               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).var().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 12.5              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 4.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_var             │ D_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 12.5              │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 4.5               │ 0.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference-v1-stable/input-output/README.md b/api-reference-v1-stable/input-output/README.md
new file mode 100644
index 0000000..e86d5de
--- /dev/null
+++ b/api-reference-v1-stable/input-output/README.md
@@ -0,0 +1,18 @@
+---
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
+---
+
+# Input/Output
+
+## CSV
+
+| \`\`                                |                                                          |
+| ----------------------------------- | -------------------------------------------------------- |
+| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
+| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
+| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
+| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
+| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
+
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference-v1-stable/input-output/danfo.read_csv.md b/api-reference-v1-stable/input-output/danfo.read_csv.md
new file mode 100644
index 0000000..79644f3
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.read_csv.md
@@ -0,0 +1,135 @@
+---
+description: >-
+  Reads a comma-separated values (CSV) file into DataFrame. Also supports the
+  reading of CSV files in chunks.
+---
+
+# danfo.read_csv
+
+> danfo.**read_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
+
+| **Parameters** | Type                         | Description                                                                                                                                                                                                                  | Default                                                                                                           |
+| -------------- | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
+| _**source**_   | File object, File path, URL  | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path. </p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported. </p> |                                                                                                                   |
+| **configs**:   |  object, optional            | <p></p><p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>. </p><p><strong></strong></p>                                              | <p><strong>{</strong></p><p><strong>dynamicTyping: </strong>true,</p><p><strong>header: </strong>true</p><p>}</p> |
+
+**Returns:**
+
+**     **_**Promise**_. Resolves to DataFrame
+
+The **read_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
+
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading files from a URL**
+
+By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                //do something like display descriptive statistics
+                df.describe().print()
+                
+            }).catch(err => {
+                console.log(err);
+            })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_excel.md b/api-reference-v1-stable/input-output/danfo.read_excel.md
new file mode 100644
index 0000000..459aa30
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.read_excel.md
@@ -0,0 +1,68 @@
+---
+description: Reads an excel file into DataFrame.
+---
+
+# danfo.read_excel
+
+> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
+| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
+
+> **Returns:**
+>
+> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
+
+### Example
+
+The **read_excel** method can read excel files saved on a local disk, or over the internet.
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+const path = require("path")
+
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+
+async function load_process_data() {
+    let df = await dfd.read_excel(local_xcel)
+    df.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
+        dfd.read_excel(remote_url).then(df => {
+            df.head().print()
+        })
+
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_json.md b/api-reference-v1-stable/input-output/danfo.read_json.md
new file mode 100644
index 0000000..85412ea
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.read_json.md
@@ -0,0 +1,128 @@
+---
+description: Reads a JSON file into DataFrame.
+---
+
+# danfo.read_json
+
+> danfo.**read_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
+
+| **Parameters** | Type                                            | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                         |
+| -------------- | ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
+| _**source**_   | Input file object, string file** **path or URL  | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p></p><p>An input file object is also supported in the browser. </p>                                                                                                                                                                                                              |                                                 |
+| options        | Object                                          | <p>Configuration options for reading JSON files. Supported options:</p><p> {<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>} </p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
+
+**Returns:**
+
+**     **_**Promise**_. Resolves to DataFrame
+
+The **read_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+
+### **Reading JSON files from local disk**
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.to_csv.md b/api-reference-v1-stable/input-output/danfo.to_csv.md
new file mode 100644
index 0000000..5bd4105
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.to_csv.md
@@ -0,0 +1,115 @@
+---
+description: Writes a DataFrame or Series to CSV format.
+---
+
+# danfo.to_csv
+
+> danfo.**to_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
+| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |                                                                                    |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+### Convert DataFrame to CSV string and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const csv = dfd.to_csv(df, { download: false });
+console.log(csv);
+
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_csv(df, { filePath: "testOut.csv"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and download file in Client-side lib
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+const dfd = require("danfojs")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_csv(df, { fileName: "testOut.csv", download: true});
+```
diff --git a/api-reference-v1-stable/input-output/danfo.to_excel.md b/api-reference-v1-stable/input-output/danfo.to_excel.md
new file mode 100644
index 0000000..1fe1adf
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.to_excel.md
@@ -0,0 +1,54 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# danfo.to_excel
+
+> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_excel(df, { filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in  Client-side lib
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_excel(df, { fileName: "testOut.xlsx"});
+```
diff --git a/api-reference-v1-stable/input-output/danfo.to_json.md b/api-reference-v1-stable/input-output/danfo.to_json.md
new file mode 100644
index 0000000..80eaa04
--- /dev/null
+++ b/api-reference-v1-stable/input-output/danfo.to_json.md
@@ -0,0 +1,124 @@
+# danfo.to_json
+
+> danfo.**to_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
+| -------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+
+### Convert DataFrame/Series to JSON and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = dfd.to_json(df, { download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = dfd.to_json(df, {
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON  and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_json(df, { filePath: "./testOutput.json" });
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_json(df, { fileName: "test_out.json" });
+```
diff --git a/api-reference-v1-stable/input-output/read.md b/api-reference-v1-stable/input-output/read.md
new file mode 100644
index 0000000..c38778e
--- /dev/null
+++ b/api-reference-v1-stable/input-output/read.md
@@ -0,0 +1,138 @@
+---
+description: >-
+  The generic read function loads a tabular data using the Frictionless
+  specification.
+---
+
+# read
+
+> danfo.**read**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">A path to the file/resources. It can be a local file, a URL to tabular
+        data (CSV, EXCEL) or Datahub.io Data Resource.</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>configs</b>
+      </td>
+      <td style="text-align:left">object</td>
+      <td style="text-align:left">
+        <p></p>
+        <p>Configuration options. Supported params are:</p>
+        <p><b>data_num</b> (Defaults =&gt; 0): The specific dataset to load, when
+          reading data from a datapackage.json,</p>
+        <p><b>header</b> (Defaults =&gt; true): Whether the dataset contains a header
+          or not.</p>
+        <p><b>sheet</b> (Defaults =&gt; 0): Number of the excel sheet which u want
+          to load.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left"></td>
+    </tr>
+  </tbody>
+</table>
+
+**Returns:**
+
+     ****_**Promise**_. Resolves to DataFrame
+
+The **read** function uses [frictionless.js](https://github.com/frictionlessdata/frictionless-js) underhood.[`frictionless.js`](https://github.com/frictionlessdata/frictionless-js) is a lightweight, standardized "stream-plus-metadata" interface for accessing files and datasets, especially tabular ones \(CSV, Excel\). It follows the [Frictionless spec](https://frictionlessdata.io/specs/)
+
+> ### **Note**: The `read` method is only available in danfojs-node at the moment.
+
+### Read a CSV file
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let df = await dfd.read("file.csv")
+    let sample = await df.sample(10)
+    sample.print()
+}
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+### **Loading Files from URL**
+
+By specifying a valid URL, you can load CSV/EXCEL file:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+ let df = await dfd.read("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+ df.head().print()
+}
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+### Loading Data from a Data Package Descriptor
+
+You can load data from a frictionless data package [descriptor](https://specs.frictionlessdata.io/data-package/#descriptor). A data package descriptor is a central file in a Data Package. It is a JSON file that provides:
+
+* General metadata such as the package’s title, license, publisher etc
+* A list of the data “resources” that make up the package including their location on disk or online and other relevant information \(including, possibly, schema information about these data resources in a structured form\)
+
+For instance, in the example below, we load the first resource in the [Natural Gas dataset](https://datahub.io/core/natural-gas) from datahub.io. 
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+ const package_url =
+    "https://datahub.io/core/natural-gas/datapackage.json";
+
+  const df = await dfd.read(package_url, { data_num: 1 });
+  df.head().print();
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+```bash
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Date              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 1997-01-07        │ 3.81999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 1997-01-08        │ 3.79999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 1997-01-09        │ 3.60999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 1997-01-10        │ 3.91999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ 1997-01-13        │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+
+
diff --git a/api-reference-v1-stable/plotting/README.md b/api-reference-v1-stable/plotting/README.md
new file mode 100644
index 0000000..93161e3
--- /dev/null
+++ b/api-reference-v1-stable/plotting/README.md
@@ -0,0 +1,19 @@
+---
+description: >-
+  DataFrame and Series have inbuilt support for plotting using Plotly's backend.
+  All customization can be done using Plotly's parameter passed to the config
+  object.
+---
+
+# Plotting
+
+* [Line Charts](line-charts.md)
+* [Bar Charts](bar-charts.md)
+* [Scatter Plots](scatter-plots.md)
+* [Histograms](histograms.md)
+* [Pie Charts](pie-charts.md)
+* [Tables](tables.md)
+* [Box Plots](box-plots.md)
+* [Violin Plots](violin-plots.md)
+* [Timeseries Plots](timeseries-plots.md)
+
diff --git a/api-reference-v1-stable/plotting/bar-charts.md b/api-reference-v1-stable/plotting/bar-charts.md
new file mode 100644
index 0000000..aee82cd
--- /dev/null
+++ b/api-reference-v1-stable/plotting/bar-charts.md
@@ -0,0 +1,78 @@
+---
+description: Makes a vertical bar plot.
+---
+
+# Bar Charts
+
+A bar plot presents categorical data with rectangular bars with lengths proportional to the values that they represent.
+
+## Examples
+
+The **bar** plot is exposed by the .**plot\(\)** function called on a Series or DataFrame. The **.plot\(\)** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter. 
+
+### Bar plot on Series
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        s.plot("plot_div").bar()
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-6-.png)
+
+### Bar plot on DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").bar()
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-7-.png)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
+
diff --git a/api-reference-v1-stable/plotting/box-plots.md b/api-reference-v1-stable/plotting/box-plots.md
new file mode 100644
index 0000000..8a6e490
--- /dev/null
+++ b/api-reference-v1-stable/plotting/box-plots.md
@@ -0,0 +1,122 @@
+---
+description: Make a box plot from DataFrame columns.
+---
+
+# Box Plots
+
+Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.
+
+## Examples
+
+### Boxplot for a Series Object
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
+        s.plot("plot_div").box()
+         
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-23-.png)
+
+### Box plots on a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                sub_df = df.loc({ columns: ["Age", "Fare"] })
+                sub_df.plot("plot_div").box()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am%20%281%29%20%281%29.png)
+
+### Box plot for selected columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df.plot("plot_div").box({x: "Survived", y: "Age"})
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-24-.png)
+
+
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
+
diff --git a/api-reference-v1-stable/plotting/configuring-your-plots.md b/api-reference-v1-stable/plotting/configuring-your-plots.md
new file mode 100644
index 0000000..7d96b4d
--- /dev/null
+++ b/api-reference-v1-stable/plotting/configuring-your-plots.md
@@ -0,0 +1,69 @@
+# Configuring your plots
+
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
+
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name. 
+
+For example in the following code, we show how to set some basic configuration as well as layout for a line plot. 
+
+```markup
+<!doctype html>
+<html>
+
+<head>
+    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+
+</head>
+
+<body>
+
+    <div id="mydiv"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+
+                var layout = {
+                    title: {
+                        text: "Time series plot of AAPL open and close points",
+                        x: 0
+                    },
+                    legend: {
+                        bgcolor: "#fcba03",
+                        bordercolor: "#444",
+                        borderwidth: 1,
+                        font: { family: "Arial", size: 10, color: "#fff" }
+                    },
+                    width: 1000,
+                    yaxis: {
+                        title: 'AAPL open points',
+                    },
+                    xaxis: {
+                        title: 'Date',
+                    }
+                }
+                var config = {
+                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
+                    displayModeBar: true,
+                    modeBarButtonsToAdd: [{ //Add custom button
+                        name: 'about',
+                        icon: Plotly.Icons.question,
+                        click: function (gd) {
+                            alert('An example of configuring Danfojs Plots')
+                        }
+                    }],
+                    layout //layout object
+                }
+
+                df.plot("mydiv").line(config)
+            })
+    </script>
+</body>
+
+</html>
+```
+
+![](../../.gitbook/assets/newplot-32-.png)
+
diff --git a/api-reference-v1-stable/plotting/histograms.md b/api-reference-v1-stable/plotting/histograms.md
new file mode 100644
index 0000000..12497e3
--- /dev/null
+++ b/api-reference-v1-stable/plotting/histograms.md
@@ -0,0 +1,120 @@
+---
+description: 'Draw one histogram of the DataFrame’s columns, or single histogram for Series'
+---
+
+# Histograms
+
+A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
+
+## Examples
+
+### Histogram of a Column in a DataFrame
+
+In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df['Age'].plot("plot_div").hist()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-10-.png)
+
+### Customized Histogram plots on DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                var layout = {
+                    bargap: 0,
+                    bargroupgap: 0.1,
+                    barmode: "stack",
+                    title: "Histogram of two columns stacked",
+                    xaxis: { title: "Value" },
+                    yaxis: { title: "Count" }
+                }
+
+                sub_df = df.loc({ columns: ["Fare", "Age"] })
+                sub_df.plot("plot_div").hist({layout: layout })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-20-.png)
+
+### Configuring your plots
+
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
+
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
+
+```javascript
+var layout = {
+    title: 'A sample plot',
+    xaxis: {
+        title: 'X',
+    },
+    yaxis: {
+        title: 'Y',
+    }
+}
+
+df.plot("div_tag").histogram({layout: layout})
+```
+
+{% hint style="info" %}
+For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
+{% endhint %}
+
diff --git a/api-reference-v1-stable/plotting/line-charts.md b/api-reference-v1-stable/plotting/line-charts.md
new file mode 100644
index 0000000..73326f4
--- /dev/null
+++ b/api-reference-v1-stable/plotting/line-charts.md
@@ -0,0 +1,112 @@
+---
+description: >-
+  Plot Series or DataFrame as lines. This function is useful to plot lines using
+  DataFrame’s values as coordinates.
+---
+
+# Line Charts
+
+## Examples
+
+### Basic Line plot on Series
+
+The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        s.plot("plot_div").line()
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-4-.png)
+
+### Line plots on DataFrame
+
+The example below shows the plot of column values against a common x-axis (index)
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").line()
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](<../../.gitbook/assets/newplot-2- (1) (1) (2) (2).png>)
+
+The example below shows how to plot two columns in a DataFrame against each other.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").line({x: 'pig', y: 'horse'})
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-3-.png)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference-v1-stable/plotting/pie-charts.md b/api-reference-v1-stable/plotting/pie-charts.md
new file mode 100644
index 0000000..c355bcb
--- /dev/null
+++ b/api-reference-v1-stable/plotting/pie-charts.md
@@ -0,0 +1,127 @@
+---
+description: Generate a pie plot.
+---
+
+# Pie Charts
+
+A pie plot is a proportional representation of the numerical data in a column
+
+## Examples
+
+### Pie Chart from Columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Location: ["NG", "GH", "SA"],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+        
+        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-12-.png)
+
+### Multiple Pie Chart from Columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Count: [20, 50, 25],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+
+        df.plot("plot_div").pie({ labels: "Type"})
+
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-21-.png)
+
+### Configure Position of Pie Charts
+
+If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie. 
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Count: [20, 50, 25],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+
+       df.plot("plot_div").pie({ labels: "Type",
+                                 grid: { rows: 2, columns: 2 },
+                                 row_pos: [0, 1], col_pos: [0, 1] })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-22-.png)
+
+{% hint style="info" %}
+For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
+{% endhint %}
+
diff --git a/api-reference-v1-stable/plotting/scatter-plots.md b/api-reference-v1-stable/plotting/scatter-plots.md
new file mode 100644
index 0000000..739a49f
--- /dev/null
+++ b/api-reference-v1-stable/plotting/scatter-plots.md
@@ -0,0 +1,91 @@
+---
+description: Create a scatter plot of columns in a DataFrame
+---
+
+# Scatter Plots
+
+The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables. 
+
+## Examples
+
+### Scatter Plots on Columns in a DataFrame
+
+In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-8-%20%281%29.png)
+
+### More Examples
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
+                sub_df.plot("plot_div").scatter()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-19-.png)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
+
diff --git a/api-reference-v1-stable/plotting/tables.md b/api-reference-v1-stable/plotting/tables.md
new file mode 100644
index 0000000..efa1fbb
--- /dev/null
+++ b/api-reference-v1-stable/plotting/tables.md
@@ -0,0 +1,97 @@
+---
+description: Turn DataFrame/Series in D3.js-based tables
+---
+
+# Tables
+
+## Examples
+
+### Create Interactive Tables from DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                df.plot("plot_div").table()
+              
+              
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png)
+
+### Configure the header and cell of a table
+
+To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass. 
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                header_style = {
+                    align: "center",
+                    fill: { color: ['gray'] },
+                    font: { family: "Arial", size: 15, color: "white" }
+                }
+                cell_style = {
+                    align: ["center"],
+                    line: { color: "black", width: 1 }
+                }
+
+                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+
+```
+
+![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png)
+
diff --git a/api-reference-v1-stable/plotting/timeseries-plots.md b/api-reference-v1-stable/plotting/timeseries-plots.md
new file mode 100644
index 0000000..7bbb089
--- /dev/null
+++ b/api-reference-v1-stable/plotting/timeseries-plots.md
@@ -0,0 +1,58 @@
+---
+description: Timeseries plot are based on date index
+---
+
+# Timeseries Plots
+
+## Examples
+
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                var layout = {
+                    title: 'A financial charts',
+                    xaxis: {
+                        title: 'Date',
+                    },
+                    yaxis: {
+                        title: 'Count',
+                    }
+                }
+
+                new_df = df.set_index({ column: "Date" })
+                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference-v1-stable/plotting/violin-plots.md b/api-reference-v1-stable/plotting/violin-plots.md
new file mode 100644
index 0000000..e0c1c8f
--- /dev/null
+++ b/api-reference-v1-stable/plotting/violin-plots.md
@@ -0,0 +1,116 @@
+# Violin Plots
+
+Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also [Box Plot](box-plots.md)
+
+## Examples
+
+### Boxplot for a Series Object
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
+        s.plot("plot_div").violin()
+         
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-25-.png)
+
+### Box plots on a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                sub_df = df.loc({ columns: ["Age", "Fare"] })
+                sub_df.plot("plot_div").violin()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-26-.png)
+
+### Box plot for selected columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df.plot("plot_div").violin({x: "Survived", y: "Age"})
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](../../.gitbook/assets/newplot-27-.png)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
+
diff --git a/api-reference-v1-stable/series/README.md b/api-reference-v1-stable/series/README.md
new file mode 100644
index 0000000..7eefaa7
--- /dev/null
+++ b/api-reference-v1-stable/series/README.md
@@ -0,0 +1,182 @@
+---
+description: One-dimensional ndarray with axis labels (including time series).
+---
+
+# Series
+
+> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ],** index: **\[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
+
+### Attributes
+
+| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
+| --------------------------------- | ------------------------------------------- |
+
+| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
+| ----------------------------------- | ---------------------------------------------------------------- |
+| [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
+| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
+| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
+| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
+| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
+
+### Conversion
+
+| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
+| --------------------------------------------------- | ---------------------------------------------- |
+| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
+
+### Indexing, iteration
+
+|                                                         |                                                                    |
+| ------------------------------------------------------- | ------------------------------------------------------------------ |
+| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
+| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
+
+### Binary operator functions
+
+| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
+| --------------------------------- | --------------------------------------------------------------------------------------- |
+| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
+| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
+| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
+| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
+| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
+| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
+| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
+| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
+| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
+| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
+| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
+| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
+| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
+
+### Function application & GroupBy
+
+| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
+| --------------------------------- | ------------------------------------------------------- |
+| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
+
+### Computations / descriptive stats
+
+| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
+| ----------------------------------------------------------- | ---------------------------------------------------------------- |
+| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
+| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
+| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
+| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
+| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
+| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
+| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
+| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
+| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
+| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
+| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
+| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
+| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
+| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
+| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
+| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
+| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
+| [`Series.value_counts`](series.value_counts.md)             | Return a Series containing counts of unique values.              |
+
+### Reindexing / selection / label manipulation
+
+|                                                       |                                                          |
+| ----------------------------------------------------- | -------------------------------------------------------- |
+| [`Series.drop_duplicates`](series.drop_duplicates.md) | Return Series with duplicate values removed.             |
+| [`Series.head`](series.head.md)                       | Return the first n rows.                                 |
+| [`Series.reset_index`](series.reset_index.md)         | Generate a new DataFrame or Series with the index reset. |
+| [`Series.sample`](series.sample.md)                   | Return a random sample of items from an axis of object.  |
+| [`Series.tail`](series.tail.md)                       | Return the last n rows.                                  |
+
+### Missing data handling
+
+|                                       |                                                  |
+| ------------------------------------- | ------------------------------------------------ |
+| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
+| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
+| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
+| [`Series.replace`](series.replace.md) | Replace values given in to_replace with value.   |
+
+### Reshaping, sorting
+
+| [`Series.argsort`](series.argsort.md)         | Return the integer indices that would sort the Series values. |
+| --------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.argmin`](series.argmin.md)           | Return int position of the smallest value in the Series.      |
+| [`Series.argmax`](series.argmax.md)           | Return int position of the largest value in the Series.       |
+| [`Series.sort_values`](series.sort_values.md) | Sort by the values.                                           |
+
+### Accessors
+
+Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
+
+| Data Type | Accessor |
+| --------- | -------- |
+| Datetime  | dt       |
+| String    | str      |
+
+#### Datetimelike properties
+
+`Series.dt` can be used to access the values of the series as datetime and return several properties. These can be accessed like `Series.dt.<property>`.
+
+**Datetime methods**
+
+|                                                   |                                                                    |
+| ------------------------------------------------- | ------------------------------------------------------------------ |
+| [`Series.dt.year`](series.dt.year.md)             | The year of the datetime.                                          |
+| [`Series.dt.month`](series.dt.month.md)           | The month as January=1, December=12.                               |
+| [`Series.dt.day`](series.dt.day.md)               | The day of the datetime.                                           |
+| [`Series.dt.hour`](series.dt.hour.md)             | The hours of the datetime.                                         |
+| [`Series.dt.minute`](series.dt.minute.md)         | The minutes of the datetime.                                       |
+| [`Series.dt.second`](series.dt.second.md)         | The seconds of the datetime.                                       |
+| [`Series.dt.weekdays`](series.dt.weekdays.md)     | The day of the week with Monday=0, Sunday=6.                       |
+| [`Series.dt.month_name`](series.dt.month_name.md) | Return the month names of the DateTimeIndex with specified locale. |
+
+#### String handling
+
+`Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
+
+| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
+| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
+| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
+| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
+| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
+| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
+| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
+| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
+| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
+| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
+| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
+| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
+| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
+| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
+| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
+| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
+| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
+| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
+| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
+| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
+
+### Plotting
+
+`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
+
+|                                                       |                                                               |
+| ----------------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
+| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
+| [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
+| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
+
+### Serialization / IO / conversion
+
+|                                                       |                                                      |
+| ----------------------------------------------------- | ---------------------------------------------------- |
+| [`Series.to_csv`](../dataframe/dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`Series.to_json`](../dataframe/dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/series/creating-a-series.md b/api-reference-v1-stable/series/creating-a-series.md
new file mode 100644
index 0000000..3c8e4ba
--- /dev/null
+++ b/api-reference-v1-stable/series/creating-a-series.md
@@ -0,0 +1,210 @@
+# Creating a Series
+
+new danfo.**Series**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
+In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
+
+### Creating a Series from an object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```javascript
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series from an array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = ["bval1", "bval2", "bval3", "bval4"]
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series and specifying index and dtypes
+
+You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
+
+> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2, 3, 4, 5];
+let index = ["a", "b", "c", "d", "e"];
+let dtypes = ["int32",]
+
+let df = new Series(data1, { index, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╚═══╧═══╝
+```
+
+### Creating a Series and specifying memory mode
+
+To use less space on Series creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2.3, 3, 4, 5, "girl"];
+
+let df = new Series(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the Series.
+{% endhint %}
+
diff --git a/api-reference-v1-stable/series/danfo.series.add.md b/api-reference-v1-stable/series/danfo.series.add.md
new file mode 100644
index 0000000..7cd6150
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.add.md
@@ -0,0 +1,22 @@
+---
+description: 'Return Addition of series and other, element-wise (binary operator add).'
+---
+
+# danfo.Series.add
+
+Return Addition of series and other, element-wise \(binary operator add\).
+
+            **parameter:** {other} Series or Number to add
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 6]
+let data2 = [30, 40, 39, 1, 2, 1]
+let sf = new Series(data)
+let sf2 = new Series(data2)
+sf.add(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.apply.md b/api-reference-v1-stable/series/danfo.series.apply.md
new file mode 100644
index 0000000..d59a99c
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.apply.md
@@ -0,0 +1,63 @@
+---
+description: invoke a function on Series Value
+---
+
+# danfo.Series.apply
+
+> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function | Function \(can be anonymous\) to apply |  |
+
+**Returns:**
+
+       ****return **Series**
+
+\*\*\*\*
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+let apply_func = (x) => {
+    return x + x
+}
+sf.apply(apply_func).print()
+```
+
+**OUTPUT:**
+
+![](../../.gitbook/assets/series_apply.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+sf.apply(Math.log).print()
+```
+
+**OUTPUT:**
+
+![](../../.gitbook/assets/series_apply1.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
+
+sf.apply((x)=>{
+    return x.toLocaleLowerCase()
+}).print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_apply2.png)
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.copy.md b/api-reference-v1-stable/series/danfo.series.copy.md
new file mode 100644
index 0000000..c610c04
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.copy.md
@@ -0,0 +1,22 @@
+# danfo.Series.copy
+
+Make a new copy of Series
+
+
+
+**parameter:** 
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
+sf_copy = sf.copy()
+
+
+let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
+sf = sf.set_index({ "index": ["a", "b", "c", "d"] })
+sf_copy = sf.copy()
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.count.md b/api-reference-v1-stable/series/danfo.series.count.md
new file mode 100644
index 0000000..50a5789
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.count.md
@@ -0,0 +1,24 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# danfo.Series.count
+
+Return number of non-NA/null observations in the Series.
+
+This is equivalent to the method numpy.sum
+
+            **parameter:** 
+
+            **return:** {Number}, sum of values in Series
+
+**Example**
+
+```javascript
+let data = ["boy", "gitl", "woman", NaN]
+let sf = new Series(data)
+sf.count()
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.describe.md b/api-reference-v1-stable/series/danfo.series.describe.md
new file mode 100644
index 0000000..184dbe9
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.describe.md
@@ -0,0 +1,26 @@
+# danfo.Series.describe
+
+
+
+Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values
+
+
+
+**parameter:** 
+
+            **return:** {frame}
+
+**Example**
+
+```javascript
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three"] })
+
+
+let data = [1,2,3,4,5,6]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+df.reset_index()
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.div.md b/api-reference-v1-stable/series/danfo.series.div.md
new file mode 100644
index 0000000..ae2731b
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.div.md
@@ -0,0 +1,26 @@
+---
+description: >-
+  Return Floating division of series and other, element-wise (binary operator
+  truediv).
+---
+
+# danfo.Series.div
+
+Return division of series and other, element-wise \(binary operator div\).
+
+Equivalent to series / other
+
+            **parameter:** {other} Series, Number to divide with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.div(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.head.md b/api-reference-v1-stable/series/danfo.series.head.md
new file mode 100644
index 0000000..1bc9d5e
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.head.md
@@ -0,0 +1,25 @@
+---
+description: This function returns the first n rows for the object based on position.
+---
+
+# danfo.Series.head
+
+
+
+Prints the first n values in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let cols = ["A"]
+let sf = new Series(data, { columns: cols })
+sf.head()
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.map.md b/api-reference-v1-stable/series/danfo.series.map.md
new file mode 100644
index 0000000..9d7cad4
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.map.md
@@ -0,0 +1,42 @@
+---
+description: Map the value of a series to it representation
+---
+
+# danfo.Series.map
+
+> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
+
+| Parameter | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function or Object | callable can either be a function or an object\({}\) |  |
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1,2,3,4])
+let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
+sf.map(map)
+
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_map.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1,2,3,4])
+
+sf.map((x)=>{
+    return `I have ${x} cat(s)`
+}).print()
+
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_map1.png)
+
diff --git a/api-reference-v1-stable/series/danfo.series.max.md b/api-reference-v1-stable/series/danfo.series.max.md
new file mode 100644
index 0000000..cac4ba1
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.max.md
@@ -0,0 +1,2 @@
+# danfo.Series.max
+
diff --git a/api-reference-v1-stable/series/danfo.series.maximum.md b/api-reference-v1-stable/series/danfo.series.maximum.md
new file mode 100644
index 0000000..9082120
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.maximum.md
@@ -0,0 +1,22 @@
+# danfo.Series.maximum
+
+Return maximum of series and other, element-wise \(binary operator div\).
+
+
+
+            **parameter:** {other} Series, Numbers to check maximum against
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.maximum(sf2)
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.mean.md b/api-reference-v1-stable/series/danfo.series.mean.md
new file mode 100644
index 0000000..6ace487
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.mean.md
@@ -0,0 +1,2 @@
+# danfo.Series.mean
+
diff --git a/api-reference-v1-stable/series/danfo.series.median.md b/api-reference-v1-stable/series/danfo.series.median.md
new file mode 100644
index 0000000..077c0ec
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.median.md
@@ -0,0 +1,2 @@
+# danfo.Series.median
+
diff --git a/api-reference-v1-stable/series/danfo.series.min.md b/api-reference-v1-stable/series/danfo.series.min.md
new file mode 100644
index 0000000..22f3589
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.min.md
@@ -0,0 +1,2 @@
+# danfo.Series.min
+
diff --git a/api-reference-v1-stable/series/danfo.series.minimum.md b/api-reference-v1-stable/series/danfo.series.minimum.md
new file mode 100644
index 0000000..2a9d9c6
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.minimum.md
@@ -0,0 +1,22 @@
+# danfo.Series.minimum
+
+
+
+Return minimum of series and other, element-wise \(binary operator div\).
+
+
+
+            **parameter:** {other} Series, Numbers to check minimum against
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.minimum(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.mod.md b/api-reference-v1-stable/series/danfo.series.mod.md
new file mode 100644
index 0000000..577014d
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.mod.md
@@ -0,0 +1,24 @@
+---
+description: 'Return Modulo of series and other, element-wise (binary operator mod).'
+---
+
+# danfo.Series.mod
+
+Return Modulo of series and other, element-wise \(binary operator mod\).
+
+Equivalent to series % other
+
+            **parameter:** {other} Series, Number
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [2, 30, 4, 5]
+let data2 = [1.1, 2.2, 3.3, 2.4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.mod(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.mode.md b/api-reference-v1-stable/series/danfo.series.mode.md
new file mode 100644
index 0000000..8d86e6e
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.mode.md
@@ -0,0 +1,2 @@
+# danfo.Series.mode
+
diff --git a/api-reference-v1-stable/series/danfo.series.mul.md b/api-reference-v1-stable/series/danfo.series.mul.md
new file mode 100644
index 0000000..6cdac92
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.mul.md
@@ -0,0 +1,26 @@
+---
+description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
+---
+
+# danfo.Series.mul
+
+Return Multiplication of series and other, element-wise \(binary operator mul\).
+
+Equivalent to series \* other, but with support to substitute a fill\_value for missing data in one of the inputs.
+
+            **parameter:** {Series, Number to multiply with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.mul(sf2)
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.pow.md b/api-reference-v1-stable/series/danfo.series.pow.md
new file mode 100644
index 0000000..291a993
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.pow.md
@@ -0,0 +1,26 @@
+---
+description: >-
+  Return Exponential power of series and other, element-wise (binary operator
+  pow).
+---
+
+# danfo.Series.pow
+
+Return Exponential power of series and other, element-wise \(binary operator pow\).
+
+Equivalent to series \*\* other
+
+            **parameter:** {other} Series, Number to multiply with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [2, 3, 4, 5]
+let data2 = [1, 2, 3, 0]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.pow(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.reset_index.md b/api-reference-v1-stable/series/danfo.series.reset_index.md
new file mode 100644
index 0000000..7a908a9
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.reset_index.md
@@ -0,0 +1,31 @@
+# danfo.Series.reset\_index
+
+
+
+Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
+
+
+
+**parameter:** {kwargs} {inplace: Modify the Series in place \(do not create a new object, drop: Just reset the index, without inserting it as a column in the new DataFrame.}
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["one", "two", "three"] })
+let df_reset = df_new.reset_index()
+df_reset.print()
+
+
+let data = [1,2,3,4,5,6]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+let df_new = df.reset_index()
+df_new 
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.round.md b/api-reference-v1-stable/series/danfo.series.round.md
new file mode 100644
index 0000000..2bbacbb
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.round.md
@@ -0,0 +1,20 @@
+# danfo.Series.round
+
+Round each value in a Series to the given number of decimals.
+
+
+
+ **parameter:** {dp} Number, Numbers of Decimal places to round to
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf = new Series(data1)
+sf.round(1)
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.sample.md b/api-reference-v1-stable/series/danfo.series.sample.md
new file mode 100644
index 0000000..fa8f326
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.sample.md
@@ -0,0 +1,22 @@
+---
+description: Return a random sample of items from an axis of object.
+---
+
+# danfo.Series.sample
+
+Gets \[num\] number of random rows in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf = new Series(data)
+sf.sample(2)
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.set_index.md b/api-reference-v1-stable/series/danfo.series.set_index.md
new file mode 100644
index 0000000..5cb3d28
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.set_index.md
@@ -0,0 +1,40 @@
+---
+description: Assign new Index to Series
+---
+
+# danfo.Series.set\_index
+
+> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs | Object {} | The object contains the key **index** and assigned an array value of equal length to the Series. format {"index": \[Array\] } |   |
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["one", "two", "three"] })
+df_new.print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series.reset_index.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let data = ["Humans","Life","Meaning","Fact","Truth"]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["H", "L", "M","F","T"] })
+df_new.print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_reset_index2.png)
+
diff --git a/api-reference-v1-stable/series/danfo.series.sort_values.md b/api-reference-v1-stable/series/danfo.series.sort_values.md
new file mode 100644
index 0000000..0a0c4e7
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.sort_values.md
@@ -0,0 +1,27 @@
+# danfo.Series.sort\_values
+
+
+
+Sort a Series in ascending or descending order by some criterion.
+
+
+
+ **parameter:** {kwargs} Object, {ascending \(Bool\): Whether to return sorted values in ascending order or not, inplace \(Bool\): Whether to perform sorting on the original Series or not}
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values()
+
+
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values({ "inplace": true })
+
+
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values({ "ascending": false, "inplace": true })
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.std.md b/api-reference-v1-stable/series/danfo.series.std.md
new file mode 100644
index 0000000..8f48ef2
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.std.md
@@ -0,0 +1,20 @@
+# danfo.Series.std
+
+Return sample standard deviation over requested axis.
+
+
+
+ **parameter:** 
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.std()
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.sub.md b/api-reference-v1-stable/series/danfo.series.sub.md
new file mode 100644
index 0000000..8867c14
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.sub.md
@@ -0,0 +1,24 @@
+---
+description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
+---
+
+# danfo.Series.sub
+
+Returns the subtraction between a series and other, element-wise \(binary operator subtraction\).
+
+Equivalent to series - other
+
+            **parameter:** {other} Series, Number to subtract
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 39, 1, 2, 1]
+let data2 = [1, 2, 3, 4, 5, 6]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.sub(sf2)
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.sum-1.md b/api-reference-v1-stable/series/danfo.series.sum-1.md
new file mode 100644
index 0000000..6ec14cb
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.sum-1.md
@@ -0,0 +1,22 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# danfo.Series.sum
+
+Return the sum of the values for the requested axis.
+
+This is equivalent to the method numpy.sum.
+
+            **parameter:** 
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.sum()
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.tail.md b/api-reference-v1-stable/series/danfo.series.tail.md
new file mode 100644
index 0000000..e83307d
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.tail.md
@@ -0,0 +1,22 @@
+---
+description: Prints the last n values in a Series
+---
+
+# danfo.Series.tail
+
+Prints the first n values in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf = new Series(data)
+sf.tail()
+```
+
+
+
diff --git a/api-reference-v1-stable/series/danfo.series.tostring.md b/api-reference-v1-stable/series/danfo.series.tostring.md
new file mode 100644
index 0000000..5807850
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.tostring.md
@@ -0,0 +1,18 @@
+# danfo.Series.toString
+
+
+
+Prints the data in a Series as a grid of row and columns
+
+
+
+**parameter:** 
+
+            **return:** {frame}
+
+**Example**
+
+```javascript
+
+```
+
diff --git a/api-reference-v1-stable/series/danfo.series.var.md b/api-reference-v1-stable/series/danfo.series.var.md
new file mode 100644
index 0000000..822edc7
--- /dev/null
+++ b/api-reference-v1-stable/series/danfo.series.var.md
@@ -0,0 +1,20 @@
+# danfo.Series.var
+
+
+
+Return unbiased variance of Series.
+
+
+
+ **parameter:** 
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.var()
+```
+
diff --git a/api-reference-v1-stable/series/series.abs.md b/api-reference-v1-stable/series/series.abs.md
new file mode 100644
index 0000000..3c9f46a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.abs.md
@@ -0,0 +1,52 @@
+---
+description: Returns the absolute value in a Series
+---
+
+# Series.abs
+
+> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
+
+| Parameters | Type   | Description                                                                                          | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns: **Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [-10, 45, 56, -25, 23, -20, 10]
+let sf = new dfd.Series(data1)
+
+sf.abs().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.add.md b/api-reference-v1-stable/series/series.add.md
new file mode 100644
index 0000000..e55b1b8
--- /dev/null
+++ b/api-reference-v1-stable/series/series.add.md
@@ -0,0 +1,86 @@
+---
+description: Return Addition of series and other, element-wise (binary operator add).
+---
+
+# Series.add
+
+> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+subtract from values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.add(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 31                   ║
+╟───┼──────────────────────╢
+║ 1 │ 42                   ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 9                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+subtract from a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.add(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 5                    ║
+╟───┼──────────────────────╢
+║ 3 │ 6                    ║
+╟───┼──────────────────────╢
+║ 4 │ 7                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.and.md b/api-reference-v1-stable/series/series.and.md
new file mode 100644
index 0000000..85c22cb
--- /dev/null
+++ b/api-reference-v1-stable/series/series.and.md
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical AND between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.and
+
+> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical AND between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.and(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.append.md b/api-reference-v1-stable/series/series.append.md
new file mode 100644
index 0000000..9c84620
--- /dev/null
+++ b/api-reference-v1-stable/series/series.append.md
@@ -0,0 +1,135 @@
+---
+description: Add a new value or values to the end of a Series.
+---
+
+# Series.append
+
+danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
+
+| Parameters | Type          | Description                                                                                                                | Default |
+| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
+| newValue   | Array, Series | Object to append                                                                                                           |         |
+| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
+| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
+
+**Returns:**
+
+**       **return** Series**
+
+****
+
+### **Append new Series to the end of a Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+
+new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
+new_sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Append new Series to the end of a Series in-place**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+let newIndex = ["f5", "f6", "f7"]
+
+sf1.append(sf2, newIndex, { inplace: true })
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+```
+
+### **Append an array to the end of Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sfArr = ["a", "b", "c"]
+
+new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
+new_sf.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.apply.md b/api-reference-v1-stable/series/series.apply.md
new file mode 100644
index 0000000..d5feb72
--- /dev/null
+++ b/api-reference-v1-stable/series/series.apply.md
@@ -0,0 +1,149 @@
+---
+description: Invoke a function on each value in a Series.
+---
+
+# Series.apply
+
+> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
+
+| Parameters | Type     | Description                                                                                    | Default                               |
+| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
+| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:**
+
+**       **return** Series**
+
+****
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+let apply_func = (x) => {
+    return x + x
+}
+sf.apply(apply_func).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 8                    ║
+╟───┼──────────────────────╢
+║ 4 │ 10                   ║
+╟───┼──────────────────────╢
+║ 5 │ 12                   ║
+╟───┼──────────────────────╢
+║ 6 │ 14                   ║
+╟───┼──────────────────────╢
+║ 7 │ 16                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+sf.apply(Math.log).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0.6931471805599453   ║
+╟───┼──────────────────────╢
+║ 2 │ 1.0986122886681096   ║
+╟───┼──────────────────────╢
+║ 3 │ 1.3862943611198906   ║
+╟───┼──────────────────────╢
+║ 4 │ 1.6094379124341003   ║
+╟───┼──────────────────────╢
+║ 5 │ 1.791759469228055    ║
+╟───┼──────────────────────╢
+║ 6 │ 1.9459101490553132   ║
+╟───┼──────────────────────╢
+║ 7 │ 2.0794415416798357   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
+
+sf.apply((x)=>{
+    return x.toLocaleLowerCase()
+}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ rice                 ║
+╟───┼──────────────────────╢
+║ 1 │ beans                ║
+╟───┼──────────────────────╢
+║ 2 │ yam                  ║
+╟───┼──────────────────────╢
+║ 3 │ banana               ║
+╟───┼──────────────────────╢
+║ 4 │ wheat                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.argmax.md b/api-reference-v1-stable/series/series.argmax.md
new file mode 100644
index 0000000..d7927d2
--- /dev/null
+++ b/api-reference-v1-stable/series/series.argmax.md
@@ -0,0 +1,35 @@
+---
+description: Returns the int position of the largest value in the series
+---
+
+# Series.argmax
+
+> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
+
+**Parameters**: None
+
+**Returns**: int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,30,20,40,50,70,90,200,10,20,12]
+let sf = new dfd.Series(data)
+
+sf.argmax()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+7
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.argmin.md b/api-reference-v1-stable/series/series.argmin.md
new file mode 100644
index 0000000..dfc661f
--- /dev/null
+++ b/api-reference-v1-stable/series/series.argmin.md
@@ -0,0 +1,35 @@
+---
+description: Returns the int position of the smallest value in the series
+---
+
+# Series.argmin
+
+> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
+
+**Parameters**: None
+
+**Returns**: int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,30,20,40,50,70,90,200,10,20,12]
+let sf = new dfd.Series(data)
+
+sf.argmin()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+0
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.argsort.md b/api-reference-v1-stable/series/series.argsort.md
new file mode 100644
index 0000000..443935e
--- /dev/null
+++ b/api-reference-v1-stable/series/series.argsort.md
@@ -0,0 +1,75 @@
+---
+description: Return the integer indices that would sort the Series values
+---
+
+# Series.argsort
+
+> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
+
+| Parameters | Type   | Description                            | Default                                               |
+| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
+| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
+
+**Returns: ** Series (int element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [10, 45, 20, 10, 23, 20, 30, 11]
+let sf = new dfd.Series(data)
+
+sf.argsort().print() //defaults to ascending order
+sf.argsort({ ascending: false }).print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 3                    ║
+╟───┼──────────────────────╢
+║ 2 │ 7                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 4                    ║
+╟───┼──────────────────────╢
+║ 6 │ 6                    ║
+╟───┼──────────────────────╢
+║ 7 │ 1                    ║
+╚═══╧══════════════════════╝
+
+//sorted in descending order
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 6 ║
+╟───┼───╢
+║ 2 │ 4 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 3 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.astype.md b/api-reference-v1-stable/series/series.astype.md
new file mode 100644
index 0000000..15a61ae
--- /dev/null
+++ b/api-reference-v1-stable/series/series.astype.md
@@ -0,0 +1,2 @@
+# Series.astype
+
diff --git a/api-reference-v1-stable/series/series.copy.md b/api-reference-v1-stable/series/series.copy.md
new file mode 100644
index 0000000..9bbdb47
--- /dev/null
+++ b/api-reference-v1-stable/series/series.copy.md
@@ -0,0 +1,45 @@
+---
+description: Makes a deep copy of a Series
+---
+
+# Series.copy
+
+> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
+
+**parameter:** 
+
+**Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+let sf2 = sf1.copy()
+
+sf2.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30.21091             ║
+╟───┼──────────────────────╢
+║ 1 │ 40.190901            ║
+╟───┼──────────────────────╢
+║ 2 │ 3.564                ║
+╟───┼──────────────────────╢
+║ 3 │ 5.0212               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.corr.md b/api-reference-v1-stable/series/series.corr.md
new file mode 100644
index 0000000..ee3263f
--- /dev/null
+++ b/api-reference-v1-stable/series/series.corr.md
@@ -0,0 +1,2 @@
+# Series.corr
+
diff --git a/api-reference-v1-stable/series/series.count.md b/api-reference-v1-stable/series/series.count.md
new file mode 100644
index 0000000..832c794
--- /dev/null
+++ b/api-reference-v1-stable/series/series.count.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the total number of values in a series
+---
+
+# Series.count
+
+> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.count())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+9
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.cummax.md b/api-reference-v1-stable/series/series.cummax.md
new file mode 100644
index 0000000..8aded1a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.cummax.md
@@ -0,0 +1,51 @@
+---
+description: Returns cumulative maximum over a series
+---
+
+# Series.cummax
+
+> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cummax().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 56                   ║
+╟───┼──────────────────────╢
+║ 5 │ 56                   ║
+╟───┼──────────────────────╢
+║ 6 │ 56                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cummin.md b/api-reference-v1-stable/series/series.cummin.md
new file mode 100644
index 0000000..736cee5
--- /dev/null
+++ b/api-reference-v1-stable/series/series.cummin.md
@@ -0,0 +1,51 @@
+---
+description: Returns the cumulative min of a Series
+---
+
+# Series.cummin
+
+> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 5, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cummin().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 10                   ║
+╟───┼──────────────────────╢
+║ 2 │ 10                   ║
+╟───┼──────────────────────╢
+║ 3 │ 5                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 5                    ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumprod.md b/api-reference-v1-stable/series/series.cumprod.md
new file mode 100644
index 0000000..84ec0e7
--- /dev/null
+++ b/api-reference-v1-stable/series/series.cumprod.md
@@ -0,0 +1,51 @@
+---
+description: Return the cumulative product of a series
+---
+
+# Series.cumprod
+
+> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cumprod().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 450                  ║
+╟───┼──────────────────────╢
+║ 2 │ 25200                ║
+╟───┼──────────────────────╢
+║ 3 │ 630000               ║
+╟───┼──────────────────────╢
+║ 4 │ 14490000             ║
+╟───┼──────────────────────╢
+║ 5 │ 289800000            ║
+╟───┼──────────────────────╢
+║ 6 │ 2898000000           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumsum.md b/api-reference-v1-stable/series/series.cumsum.md
new file mode 100644
index 0000000..7b7a19a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.cumsum.md
@@ -0,0 +1,74 @@
+---
+description: Return a cumulative sum of a series
+---
+
+# Series.cumsum
+
+> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cumsum().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/dist/index.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+      //danfo is exposed on dfd namespace 
+      s = new dfd.Series([1,2,3,4,5]) 
+
+    </script>
+
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 55                   ║
+╟───┼──────────────────────╢
+║ 2 │ 111                  ║
+╟───┼──────────────────────╢
+║ 3 │ 136                  ║
+╟───┼──────────────────────╢
+║ 4 │ 159                  ║
+╟───┼──────────────────────╢
+║ 5 │ 179                  ║
+╟───┼──────────────────────╢
+║ 6 │ 189                  ║
+╚═══╧══════════════════════╝
+```
diff --git a/api-reference-v1-stable/series/series.describe.md b/api-reference-v1-stable/series/series.describe.md
new file mode 100644
index 0000000..f532bac
--- /dev/null
+++ b/api-reference-v1-stable/series/series.describe.md
@@ -0,0 +1,57 @@
+---
+description: >-
+  Generate descriptive statistics. Descriptive statistics include those that
+  summarize the central tendency, dispersion and shape of a dataset’s
+  distribution, excluding NaN values
+---
+
+# Series.describe
+
+> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
+
+**Parameters: **No parameter
+
+**return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,2,3,4,5,6]
+let sf = new dfd.Series(data)
+sf.describe().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔══════════╤══════════════════════╗
+║          │ 0                    ║
+╟──────────┼──────────────────────╢
+║ count    │ 6                    ║
+╟──────────┼──────────────────────╢
+║ mean     │ 3.5                  ║
+╟──────────┼──────────────────────╢
+║ std      │ 1.8708286933869707   ║
+╟──────────┼──────────────────────╢
+║ min      │ 1                    ║
+╟──────────┼──────────────────────╢
+║ median   │ 3.5                  ║
+╟──────────┼──────────────────────╢
+║ max      │ 6                    ║
+╟──────────┼──────────────────────╢
+║ variance │ 3.5                  ║
+╚══════════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.div.md b/api-reference-v1-stable/series/series.div.md
new file mode 100644
index 0000000..656a796
--- /dev/null
+++ b/api-reference-v1-stable/series/series.div.md
@@ -0,0 +1,87 @@
+---
+description: >-
+  Return Floating division of series and other, element-wise (binary operator
+  truediv).
+---
+
+# Series.div
+
+> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+divide with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.div(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 20                   ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1.25                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### divide with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.div(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0.5                  ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1.5                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 2.5                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dot.md b/api-reference-v1-stable/series/series.dot.md
new file mode 100644
index 0000000..61a8bc2
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dot.md
@@ -0,0 +1,2 @@
+# Series.dot
+
diff --git a/api-reference-v1-stable/series/series.drop_duplicates.md b/api-reference-v1-stable/series/series.drop_duplicates.md
new file mode 100644
index 0000000..c169043
--- /dev/null
+++ b/api-reference-v1-stable/series/series.drop_duplicates.md
@@ -0,0 +1,121 @@
+---
+description: Remove duplicate rows
+---
+
+# Series.drop_duplicates
+
+> danfo.Series.**drop_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
+| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns: **Series
+
+**Examples**
+
+### Drop duplicate by keeping the first occurrence of the duplicate value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
+let sf = new dfd.Series(data1)
+let sf_drop = sf.drop_duplicates()
+
+sf_drop.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop duplicate and keep only the last duplicated value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
+let sf = new dfd.Series(data1)
+let sf_drop = sf.drop_duplicates({keep:"last"})
+
+sf_drop.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Remove duplicate value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
+let sf = new dfd.Series(data1)
+sf.drop_duplicates({inplace:true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ A                    ║
+╟───┼──────────────────────╢
+║ 3 │ B                    ║
+╟───┼──────────────────────╢
+║ 5 │ C                    ║
+╟───┼──────────────────────╢
+║ 7 │ D                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dropna.md b/api-reference-v1-stable/series/series.dropna.md
new file mode 100644
index 0000000..2fab716
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dropna.md
@@ -0,0 +1,91 @@
+---
+description: Remove missing values from Series
+---
+
+# Series.dropna
+
+> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
+
+| Parameters | Type   | Description                                                                                    | Default                             |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Examples**
+
+### Drop all nan value and then return New Series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
+let sf = new dfd.Series(data1)
+let sf_rep = sf.dropna()
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 3 │ 10                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop nan values in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
+let sf = new dfd.Series(data1)
+sf.dropna({inplace:true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 3 │ 10                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.day.md b/api-reference-v1-stable/series/series.dt.day.md
new file mode 100644
index 0000000..d3722c4
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.day.md
@@ -0,0 +1,55 @@
+---
+description: Obtain the numerical representation of the week day.
+---
+
+# Series.dt.day
+
+> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
+
+**Parameters**: None
+
+**Returns: **Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
+let sf = new dfd.Series(data)
+
+sf.dt.day().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
+```
diff --git a/api-reference-v1-stable/series/series.dt.hour.md b/api-reference-v1-stable/series/series.dt.hour.md
new file mode 100644
index 0000000..9656aff
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.hour.md
@@ -0,0 +1,52 @@
+---
+description: Obtain the hours in a time series
+---
+
+# Series.dt.hour
+
+> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
+
+**Parameters: **None
+
+**Returns: **Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
+let sf = new dfd.Series(data)
+// print series
+sf.print()
+// print hour series
+sf.dt.hours().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 2:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.minute.md b/api-reference-v1-stable/series/series.dt.minute.md
new file mode 100644
index 0000000..97baa73
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.minute.md
@@ -0,0 +1,60 @@
+---
+description: Obtain the minutes in a Time Series
+---
+
+# Series.dt.minutes
+
+> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
+
+**Parameters**: None
+
+**Returns: **Series (int Elements)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
+let sf = new dfd.Series(data)
+//print the series
+sf.print()
+//print the minutes series
+sf.dt.minutes().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 1:01:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2000, 1:02:00 AM ║
+╚═══╧══════════════════════╝
+
+//print the minutes series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.month.md b/api-reference-v1-stable/series/series.dt.month.md
new file mode 100644
index 0000000..09841bc
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.month.md
@@ -0,0 +1,47 @@
+---
+description: Obtain the month in a date time series
+---
+
+# Series.dt.month
+
+> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
+
+**Parameters**: None
+
+**Returns: **Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
+let sf = new dfd.Series(data)
+
+sf.dt.month().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 0 │ 6  ║
+╟───┼────╢
+║ 1 │ 7  ║
+╟───┼────╢
+║ 2 │ 9  ║
+╟───┼────╢
+║ 3 │ 9  ║
+╟───┼────╢
+║ 4 │ 11 ║
+╟───┼────╢
+║ 5 │ 11 ║
+╚═══╧════╝
+```
diff --git a/api-reference-v1-stable/series/series.dt.month_name.md b/api-reference-v1-stable/series/series.dt.month_name.md
new file mode 100644
index 0000000..2deb259
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.month_name.md
@@ -0,0 +1,55 @@
+---
+description: obtain the month name in a Time Series
+---
+
+# Series.dt.month_name
+
+> danfo.Series.dt.month_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
+
+**Parameters**: None
+
+**Returns: **Series (String elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print month names
+sf.dt.month_name().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2018, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 2/1/2018, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 3/1/2018, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═════╗
+║ 0 │ Jan ║
+╟───┼─────╢
+║ 1 │ Feb ║
+╟───┼─────╢
+║ 2 │ Mar ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.monthday.md b/api-reference-v1-stable/series/series.dt.monthday.md
new file mode 100644
index 0000000..70026a5
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.monthday.md
@@ -0,0 +1,55 @@
+---
+description: Obtain the day of the month
+---
+
+# Series.dt.monthday
+
+> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
+
+**Parameters: **None
+
+**Returns**: Series (Int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print monthdays
+sf.dt.monthday().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/2/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/3/2000, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.second.md b/api-reference-v1-stable/series/series.dt.second.md
new file mode 100644
index 0000000..68d63b3
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.second.md
@@ -0,0 +1,60 @@
+---
+description: Obtain the seconds in Date series
+---
+
+# Series.dt.seconds
+
+> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
+
+**Parameters**: None
+
+**Returns: **Series (Int elements)
+
+**Example**
+
+Obtain the seconds of the datetime
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
+let sf = new dfd.Series(data)
+//print the series frame
+sf.print()
+
+//print the seconds obtained
+sf.dt.seconds().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 1:00:01 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2000, 1:00:02 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.weekdays.md b/api-reference-v1-stable/series/series.dt.weekdays.md
new file mode 100644
index 0000000..101bd50
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.weekdays.md
@@ -0,0 +1,79 @@
+---
+description: Obtain the days of the weeks
+---
+
+# Series.dt.weekdays
+
+> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
+
+**Parameters**: None
+
+**Returns: **Series (String elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print days of the week
+sf.dt.weekdays().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
+
+╔═══╤══════╗
+║ 0 │ Sat  ║
+╟───┼──────╢
+║ 1 │ Sun  ║
+╟───┼──────╢
+║ 2 │ Mon  ║
+╟───┼──────╢
+║ 3 │ Tue  ║
+╟───┼──────╢
+║ 4 │ Wed  ║
+╟───┼──────╢
+║ 5 │ Thur ║
+╟───┼──────╢
+║ 6 │ Fri  ║
+╟───┼──────╢
+║ 7 │ Sat  ║
+╟───┼──────╢
+║ 8 │ Sun  ║
+╟───┼──────╢
+║ 9 │ Mon  ║
+╚═══╧══════╝
+```
diff --git a/api-reference-v1-stable/series/series.dt.year.md b/api-reference-v1-stable/series/series.dt.year.md
new file mode 100644
index 0000000..db495d9
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dt.year.md
@@ -0,0 +1,45 @@
+---
+description: Obtain the year in a date time series
+---
+
+# Series.dt.year
+
+> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
+
+**Parameters**: None
+
+**Returns: **Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
+let sf = new dfd.Series(data)
+sf.print()
+sf.dt.year().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+//print date time series
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2001, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2002, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════╗
+║ 0 │ 2000 ║
+╟───┼──────╢
+║ 1 │ 2001 ║
+╟───┼──────╢
+║ 2 │ 2002 ║
+╚═══╧══════╝
+```
diff --git a/api-reference-v1-stable/series/series.dtype.md b/api-reference-v1-stable/series/series.dtype.md
new file mode 100644
index 0000000..c4634cb
--- /dev/null
+++ b/api-reference-v1-stable/series/series.dtype.md
@@ -0,0 +1,34 @@
+---
+description: Obtain the dtype of a series
+---
+
+# Series.dtype
+
+> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
+
+**Parameters**: None
+
+**Returns: **String
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.dtype)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.eq.md b/api-reference-v1-stable/series/series.eq.md
new file mode 100644
index 0000000..43a3ece
--- /dev/null
+++ b/api-reference-v1-stable/series/series.eq.md
@@ -0,0 +1,95 @@
+---
+description: Check all the values in a series is equal to another value
+---
+
+# Series.eq
+
+> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
+
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
+
+**Returns**: Series (Boolean element)
+
+**Examples**
+
+Compare all the values in a series to another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.eq(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Check it all the values are equal to a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.eq(10).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.fillna.md b/api-reference-v1-stable/series/series.fillna.md
new file mode 100644
index 0000000..a1db3a8
--- /dev/null
+++ b/api-reference-v1-stable/series/series.fillna.md
@@ -0,0 +1,106 @@
+---
+description: Replace all NaN value with specified value
+---
+
+# Series.fillna
+
+> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
+
+| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Examples**
+
+### Fill nan value and then return new series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
+let sf = new dfd.Series(data1)
+
+let sf_rep = sf.fillna({ value: -999})
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -999                 ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 33                   ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 5 │ -999                 ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 7                    ║
+╟───┼──────────────────────╢
+║ 9 │ 8                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill nan value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
+let sf = new dfd.Series(data1)
+sf.fillna({ value: -999, inplace: true })
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -999                 ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 33                   ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 5 │ -999                 ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 7                    ║
+╟───┼──────────────────────╢
+║ 9 │ 8                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ge.md b/api-reference-v1-stable/series/series.ge.md
new file mode 100644
index 0000000..ec83ef9
--- /dev/null
+++ b/api-reference-v1-stable/series/series.ge.md
@@ -0,0 +1,95 @@
+---
+description: Check if all the values in a series is greater than or equal a value
+---
+
+# Series.ge
+
+> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns: **Series (Boolean element)
+
+**Example**
+
+Compare all the value in a Series to the values in another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.ge(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Check if all the value in a Series is greater than or equal a value.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.ge(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.gt.md b/api-reference-v1-stable/series/series.gt.md
new file mode 100644
index 0000000..184ca28
--- /dev/null
+++ b/api-reference-v1-stable/series/series.gt.md
@@ -0,0 +1,95 @@
+---
+description: Check if all the value in a series is greater than a value
+---
+
+# Series.gt
+
+> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+Check if all the values in a series are greater than a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.gt(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are greater than values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.gt(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.head.md b/api-reference-v1-stable/series/series.head.md
new file mode 100644
index 0000000..2892263
--- /dev/null
+++ b/api-reference-v1-stable/series/series.head.md
@@ -0,0 +1,51 @@
+---
+description: Obtain the first n rows for the object based on position.
+---
+
+# Series.head
+
+> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| rows | Int | number of first n values | 5 |
+
+ **Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf1 = new dfd.Series(data1)
+
+sf1.head().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference-v1-stable/series/series.iloc.md b/api-reference-v1-stable/series/series.iloc.md
new file mode 100644
index 0000000..ab578cf
--- /dev/null
+++ b/api-reference-v1-stable/series/series.iloc.md
@@ -0,0 +1,158 @@
+# Series.iloc
+
+danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `5`.
+* A list or array of integers, e.g. `[4, 3, 0]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `"1:7"`
+
+_**Note: **only** **the start label is included, and the end label is ignored. _
+
+`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
+
+### **Indexing specific rows by index**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc([0,5]).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 5 │ 30                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row**
+
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(["0:5"]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 2.2                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 30                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+By specifying a start index in a slice, all values after that index are returned. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(["5:"]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 5 │ 30                   ║
+╟───┼──────────────────────╢
+║ 6 │ 2.1                  ║
+╟───┼──────────────────────╢
+║ 7 │ 7                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Slice Series by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
diff --git a/api-reference-v1-stable/series/series.index.md b/api-reference-v1-stable/series/series.index.md
new file mode 100644
index 0000000..1cc95da
--- /dev/null
+++ b/api-reference-v1-stable/series/series.index.md
@@ -0,0 +1,33 @@
+---
+description: Obtain the index of a Series
+---
+
+# Series.index
+
+> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
+
+**Returns**: Array
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.index)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 0, 1, 2, 3 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.isna.md b/api-reference-v1-stable/series/series.isna.md
new file mode 100644
index 0000000..cdf6343
--- /dev/null
+++ b/api-reference-v1-stable/series/series.isna.md
@@ -0,0 +1,45 @@
+---
+description: Detect Missing values
+---
+
+# Series.isna
+
+> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
+
+**Parameters**: None
+
+**Returns**:  Series \(Boolean element\)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, undefined, "girl", "Man"]
+let sf = new dfd.Series(data1)
+
+sf.isna().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.le.md b/api-reference-v1-stable/series/series.le.md
new file mode 100644
index 0000000..4571b72
--- /dev/null
+++ b/api-reference-v1-stable/series/series.le.md
@@ -0,0 +1,96 @@
+---
+description: Check if all the values in a series is less than or equal to a value
+---
+
+# Series.le
+
+> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns: **Series (Boolean Element)
+
+**Example**
+
+Check if all the values in a series is less than or equal to a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.le(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are less than equal to values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.le(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.loc.md b/api-reference-v1-stable/series/series.loc.md
new file mode 100644
index 0000000..aa36e72
--- /dev/null
+++ b/api-reference-v1-stable/series/series.loc.md
@@ -0,0 +1,198 @@
+---
+description: Access a group of rows by label(s) or a boolean array.
+---
+
+# Series.loc
+
+danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
+
+**Returns:**
+
+**       **return** Series**
+
+## **Examples**
+
+`.loc()` is  label position based (from `0` to `length-1` of the row axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
+
+_**Note: **only** **the start label is included, and the end label is ignored. _
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
+
+### **Indexing by specific row index**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc(["a", "g"]).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╟───┼─────╢
+║ e │ 30  ║
+╟───┼─────╢
+║ f │ 30  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╟───┼─────╢
+║ h │ 7   ║
+╚═══╧═════╝
+
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc([`"a":"e"`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+`s.loc([a:e]).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+`s.loc(["a":"e"]).print()`\
+\
+_**Inner quotes are not needed for numeric indices!**_
+{% endhint %}
+
+### By specifying a start index in a slice, all values after that index are returned. 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+let s = new dfd.Series(data)
+
+s.loc([`1:`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 1 │ 34  ║
+╟───┼─────╢
+║ 2 │ 2.2 ║
+╟───┼─────╢
+║ 3 │ 2   ║
+╟───┼─────╢
+║ 4 │ 30  ║
+╟───┼─────╢
+║ 5 │ 30  ║
+╟───┼─────╢
+║ 6 │ 2.1 ║
+╟───┼─────╢
+║ 7 │ 7   ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Slice Series by boolean condition 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.loc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
diff --git a/api-reference-v1-stable/series/series.lt.md b/api-reference-v1-stable/series/series.lt.md
new file mode 100644
index 0000000..7af18bc
--- /dev/null
+++ b/api-reference-v1-stable/series/series.lt.md
@@ -0,0 +1,96 @@
+---
+description: Check if all values in a Series are less than a value.
+---
+
+# Series.lt
+
+> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+Check if all the values in a series are less than a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.lt(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are less than values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.lt(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.map.md b/api-reference-v1-stable/series/series.map.md
new file mode 100644
index 0000000..0e0850a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.map.md
@@ -0,0 +1,92 @@
+---
+description: Map the value of a series to a function or Object
+---
+
+# Series.map
+
+> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
+
+| Parameter | Type               | Description                                                                                    | Default                               |
+| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable  | Function or Object | A function or object({})                                                                       |                                       |
+| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Example**
+
+Mapping the element in a Series  words in an Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4])
+let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
+sf.map(map).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ ok                   ║
+╟───┼──────────────────────╢
+║ 1 │ okie                 ║
+╟───┼──────────────────────╢
+║ 2 │ frit                 ║
+╟───┼──────────────────────╢
+║ 3 │ gop                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Mapping values in a Series to a representation using functions.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1,2,3,4])
+
+sf.map((x)=>{
+    return `I have ${x} cat(s)`
+}).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ I have 1 cat(s)      ║
+╟───┼──────────────────────╢
+║ 1 │ I have 2 cat(s)      ║
+╟───┼──────────────────────╢
+║ 2 │ I have 3 cat(s)      ║
+╟───┼──────────────────────╢
+║ 3 │ I have 4 cat(s)      ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.max.md b/api-reference-v1-stable/series/series.max.md
new file mode 100644
index 0000000..4f7193a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.max.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the maximum value in a Series
+---
+
+# Series.max
+
+> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.max())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+89
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.maximum.md b/api-reference-v1-stable/series/series.maximum.md
new file mode 100644
index 0000000..afc5a48
--- /dev/null
+++ b/api-reference-v1-stable/series/series.maximum.md
@@ -0,0 +1,50 @@
+---
+description: Obtain the maximum number between two series
+---
+
+# Series.maximum
+
+> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series | series to match |  |
+
+**Return:** {Series}
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.maximum(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 41                   ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference-v1-stable/series/series.mean.md b/api-reference-v1-stable/series/series.mean.md
new file mode 100644
index 0000000..17d97e6
--- /dev/null
+++ b/api-reference-v1-stable/series/series.mean.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the mean of a series
+---
+
+# Series.mean
+
+> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.mean())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+23.000001907348633
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.median.md b/api-reference-v1-stable/series/series.median.md
new file mode 100644
index 0000000..d1cde75
--- /dev/null
+++ b/api-reference-v1-stable/series/series.median.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the median of a series
+---
+
+# Series.median
+
+> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.median())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+4
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.min.md b/api-reference-v1-stable/series/series.min.md
new file mode 100644
index 0000000..6e11a67
--- /dev/null
+++ b/api-reference-v1-stable/series/series.min.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the minimum value in a series
+---
+
+# Series.min
+
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.min())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+0
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.minimum.md b/api-reference-v1-stable/series/series.minimum.md
new file mode 100644
index 0000000..a06ba69
--- /dev/null
+++ b/api-reference-v1-stable/series/series.minimum.md
@@ -0,0 +1,48 @@
+---
+description: Obtain the minimum value between two series (element wise)
+---
+
+# Series.minimum
+
+> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series | series to match |  |
+
+**Return:** {Series}
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.minimum(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 40                   ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.mod.md b/api-reference-v1-stable/series/series.mod.md
new file mode 100644
index 0000000..fdf0555
--- /dev/null
+++ b/api-reference-v1-stable/series/series.mod.md
@@ -0,0 +1,85 @@
+---
+description: Return Modulo of series and other, element-wise (binary operator mod).
+---
+
+# Series.mod
+
+> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
+
+| Parameters | Type               | Description                                                                                    | Default                               |
+| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\|float | values                                                                                         |                                       |
+| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+Modulus with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [2, 30, 4, 5]
+let data2 = [1.1, 2.2, 3.3, 2.4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.mod(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0.8999999761581421   ║
+╟───┼──────────────────────╢
+║ 1 │ 1.3999993801116943   ║
+╟───┼──────────────────────╢
+║ 2 │ 0.7000000476837158   ║
+╟───┼──────────────────────╢
+║ 3 │ 0.19999980926513672  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Modulo with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.mod(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.mode.md b/api-reference-v1-stable/series/series.mode.md
new file mode 100644
index 0000000..6077686
--- /dev/null
+++ b/api-reference-v1-stable/series/series.mode.md
@@ -0,0 +1,36 @@
+---
+description: Obtain the center value in a series
+---
+
+# Series.mode
+
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.mode())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[ 4 ]
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.mul.md b/api-reference-v1-stable/series/series.mul.md
new file mode 100644
index 0000000..d5d33de
--- /dev/null
+++ b/api-reference-v1-stable/series/series.mul.md
@@ -0,0 +1,86 @@
+---
+description: Return Multiplication of series and other, element-wise (binary operator mul).
+---
+
+# Series.mul
+
+> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+multiplication with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.mul(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 80                   ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 20                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+multiply with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.mul(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 8                    ║
+╟───┼──────────────────────╢
+║ 4 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.ndim.md b/api-reference-v1-stable/series/series.ndim.md
new file mode 100644
index 0000000..8258e46
--- /dev/null
+++ b/api-reference-v1-stable/series/series.ndim.md
@@ -0,0 +1,34 @@
+---
+description: Obtain the dimension of a series
+---
+
+# Series.ndim
+
+> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
+
+**Parameters: **None
+
+**Returns: **int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.ndim)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+1
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ne.md b/api-reference-v1-stable/series/series.ne.md
new file mode 100644
index 0000000..16cf1dc
--- /dev/null
+++ b/api-reference-v1-stable/series/series.ne.md
@@ -0,0 +1,95 @@
+---
+description: Check if all values in a  series is not equal to a value(s)
+---
+
+# Series.ne
+
+> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
+
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
+
+**Returns**: Series (Boolean element)
+
+**Example**
+
+Compare all the values in a series to that in another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.ne(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Compare all the values in a Series to a value.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.ne(10).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.nunique.md b/api-reference-v1-stable/series/series.nunique.md
new file mode 100644
index 0000000..1adfe98
--- /dev/null
+++ b/api-reference-v1-stable/series/series.nunique.md
@@ -0,0 +1,34 @@
+---
+description: Returns the number of unique values in a series
+---
+
+# Series.nunique
+
+> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+
+**Parameters**: None
+
+**Returns: **int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+console.log(sf.nunique())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Ouptut" %}
+```
+9
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.or.md b/api-reference-v1-stable/series/series.or.md
new file mode 100644
index 0000000..948c61d
--- /dev/null
+++ b/api-reference-v1-stable/series/series.or.md
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical OR between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.or
+
+> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical OR between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.or(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.pow.md b/api-reference-v1-stable/series/series.pow.md
new file mode 100644
index 0000000..2fbe542
--- /dev/null
+++ b/api-reference-v1-stable/series/series.pow.md
@@ -0,0 +1,87 @@
+---
+description: >-
+  Return Exponential power of series and other, element-wise (binary operator
+  pow).
+---
+
+# Series.pow
+
+> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+Exponential power with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [2, 3, 4, 5]
+let data2 = [1, 2, 3, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.pow(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 9                    ║
+╟───┼──────────────────────╢
+║ 2 │ 64                   ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Exponential value with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.pow(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 16                   ║
+╟───┼──────────────────────╢
+║ 4 │ 25                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.replace.md b/api-reference-v1-stable/series/series.replace.md
new file mode 100644
index 0000000..8a1f48b
--- /dev/null
+++ b/api-reference-v1-stable/series/series.replace.md
@@ -0,0 +1,89 @@
+---
+description: Replace values given in replace param with value
+---
+
+# Series.replace
+
+> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Examples**
+
+### Replace a value in a series and return a new series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf = new dfd.Series(data1)
+let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Replace a value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf = new dfd.Series(data1)
+sf.replace({ oldValue: 10, newValue: -50, inplace: true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
+```
diff --git a/api-reference-v1-stable/series/series.reset_index.md b/api-reference-v1-stable/series/series.reset_index.md
new file mode 100644
index 0000000..7ff93af
--- /dev/null
+++ b/api-reference-v1-stable/series/series.reset_index.md
@@ -0,0 +1,113 @@
+---
+description: Reset the index of a series.
+---
+
+# Series.reset_index
+
+> danfo.series.reset_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
+
+| Parameters | Type   | Description                                                                                         | Default          |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object |  **inplace: **Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
+
+**Returns : **Series
+
+`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
+
+### **Reset index to default values**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [20, 30, 40]
+let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
+sf.print()
+
+let sf_reset = sf.reset_index()
+sf_reset.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ a │ 20 ║
+╟───┼────╢
+║ b │ 30 ║
+╟───┼────╢
+║ c │ 40 ║
+╚═══╧════╝
+
+╔═══╤════╗
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 2 │ 40 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Reset index to new values in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
+sf.print()
+
+sf.reset_index({ inplace: true })
+sf.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╟───┼───╢
+║ f │ 6 ║
+╚═══╧═══╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 4 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 6 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.round.md b/api-reference-v1-stable/series/series.round.md
new file mode 100644
index 0000000..7b7ed7c
--- /dev/null
+++ b/api-reference-v1-stable/series/series.round.md
@@ -0,0 +1,48 @@
+---
+description: round off floating values in series
+---
+
+# Series.round
+
+> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
+
+| Parameters | Type   | Description                                                                                    | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| dp         | int    | decimal place to round off to                                                                  |                                       |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns: **Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+sf1.round(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30.21                ║
+╟───┼──────────────────────╢
+║ 1 │ 40.19                ║
+╟───┼──────────────────────╢
+║ 2 │ 3.56                 ║
+╟───┼──────────────────────╢
+║ 3 │ 5.02                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.sample.md b/api-reference-v1-stable/series/series.sample.md
new file mode 100644
index 0000000..762e635
--- /dev/null
+++ b/api-reference-v1-stable/series/series.sample.md
@@ -0,0 +1,65 @@
+---
+description: Return a random sample of items from an axis of object.
+---
+
+# Series.sample
+
+> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
+
+| Parameters | Type   | Description                                                                                                                                  | Default                        |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
+| num        | Int    | The number of rows to return.                                                                                                                |                                |
+| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
+
+**Returns:**
+
+**       **return** {Promies} resolves to Series**
+
+**Example**
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+  let sf1 = new dfd.Series(data1);
+  let sample = await sf1.sample(5)
+  sample.print()
+  
+}
+load_data()
+```
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤════╗
+║ 2 │ 3  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 0 │ 1  ║
+╟───┼────╢
+║ 7 │ 40 ║
+╟───┼────╢
+║ 6 │ 30 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Specify a seed when sampling
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+    let sf1 = new dfd.Series(data1);
+    let sample = await sf1.sample(5, { seed: 2 })
+    sample.print()
+
+}
+load_data()
+
+```
diff --git a/api-reference-v1-stable/series/series.set_index.md b/api-reference-v1-stable/series/series.set_index.md
new file mode 100644
index 0000000..0b9cad9
--- /dev/null
+++ b/api-reference-v1-stable/series/series.set_index.md
@@ -0,0 +1,136 @@
+---
+description: Assign new Index to Series
+---
+
+# Series.set_index
+
+> danfo.series.**set_index(**options**) **\[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
+
+| Parameter | Type   | Description                                                                                    | Default                               |
+| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| index     | Array  | new index values                                                                               |                                       |
+| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns: **Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let sf = new dfd.Series(data)
+sf.print()
+
+let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
+sf_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════════════════════════╗
+║ 0 │ {"alpha":"A","count":1} ║
+╟───┼─────────────────────────╢
+║ 1 │ {"alpha":"B","count":2} ║
+╟───┼─────────────────────────╢
+║ 2 │ {"alpha":"C","count":3} ║
+╚═══╧═════════════════════════╝
+
+╔═══════╤═════════════════════════╗
+║ one   │ {"alpha":"A","count":1} ║
+╟───────┼─────────────────────────╢
+║ two   │ {"alpha":"B","count":2} ║
+╟───────┼─────────────────────────╢
+║ three │ {"alpha":"C","count":3} ║
+╚═══════╧═════════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["Humans","Life","Meaning","Fact","Truth"]
+let sf = new dfd.Series(data)
+let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
+sf_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ H │ Humans               ║
+╟───┼──────────────────────╢
+║ L │ Life                 ║
+╟───┼──────────────────────╢
+║ M │ Meaning              ║
+╟───┼──────────────────────╢
+║ F │ Fact                 ║
+╟───┼──────────────────────╢
+║ T │ Truth                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Set index in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data)
+sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
+sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══════╤═══╗
+║ one   │ 1 ║
+╟───────┼───╢
+║ two   │ 2 ║
+╟───────┼───╢
+║ three │ 3 ║
+╟───────┼───╢
+║ four  │ 4 ║
+╟───────┼───╢
+║ five  │ 5 ║
+╟───────┼───╢
+║ six   │ 6 ║
+╚═══════╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.shape.md b/api-reference-v1-stable/series/series.shape.md
new file mode 100644
index 0000000..9eb5031
--- /dev/null
+++ b/api-reference-v1-stable/series/series.shape.md
@@ -0,0 +1,35 @@
+---
+description: Obtain the shape of a Series
+---
+
+# Series.shape
+
+> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
+
+**Parameters**: None
+
+**Returns**:  Array \[int, int\]
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.shape)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 4, 1 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.size.md b/api-reference-v1-stable/series/series.size.md
new file mode 100644
index 0000000..9665b65
--- /dev/null
+++ b/api-reference-v1-stable/series/series.size.md
@@ -0,0 +1,37 @@
+---
+description: Obtain the size of a series
+---
+
+# Series.size
+
+> danfo.Series.size  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\]
+
+**Parameters**: None
+
+**Returns:** int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.size)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+4
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference-v1-stable/series/series.sort_values.md b/api-reference-v1-stable/series/series.sort_values.md
new file mode 100644
index 0000000..5c7e5fa
--- /dev/null
+++ b/api-reference-v1-stable/series/series.sort_values.md
@@ -0,0 +1,140 @@
+---
+description: Sorts a Series in ascending or descending order
+---
+
+# Series.sort_values
+
+> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
+| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
+
+  **Return:** Series
+
+### Sort values in a Series 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = sf1.sort_values()
+
+sf2.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Sort Series in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+sf1.sort_values({ inplace: true })
+
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+Sort Series values in descending order
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+sf1.sort_values({ "ascending": false, "inplace": true })
+
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 6 │ 89 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 7 │ 0  ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.std.md b/api-reference-v1-stable/series/series.std.md
new file mode 100644
index 0000000..8d83e32
--- /dev/null
+++ b/api-reference-v1-stable/series/series.std.md
@@ -0,0 +1,39 @@
+---
+description: Obtain the standard deviation for a series
+---
+
+# Series.std
+
+> danfo.Series.std\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)\]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.std())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+31.11671576500322
+```
+{% endtab %}
+{% endtabs %}
+
+ ****
+
+
+
diff --git a/api-reference-v1-stable/series/series.str.capitalize.md b/api-reference-v1-stable/series/series.str.capitalize.md
new file mode 100644
index 0000000..aea9e91
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.capitalize.md
@@ -0,0 +1,52 @@
+---
+description: Capitalize the first character of each string
+---
+
+# Series.str.capitalize
+
+> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (String element)
+
+**Example**
+
+Convert  the first character of a string to capital letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'capitals', 'sentence', 'swApCaSe']
+let sf = new dfd.Series(data)
+sf.str.capitalize().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Lower boy            ║
+╟───┼──────────────────────╢
+║ 1 │ Capitals             ║
+╟───┼──────────────────────╢
+║ 2 │ Sentence             ║
+╟───┼──────────────────────╢
+║ 3 │ Swapcase             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.charat.md b/api-reference-v1-stable/series/series.str.charat.md
new file mode 100644
index 0000000..931bb48
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.charat.md
@@ -0,0 +1,53 @@
+---
+description: Obtain the character at the specified index (position)
+---
+
+# Series.str.charAt
+
+> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| index      | int    | the index at which to obtain the character                      | 0                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (Character element)
+
+**Example**
+
+Obtain the character at index 2 of all string elements in the series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.charAt(2).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ w                    ║
+╟───┼──────────────────────╢
+║ 1 │ P                    ║
+╟───┼──────────────────────╢
+║ 2 │ n                    ║
+╟───┼──────────────────────╢
+║ 3 │ A                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.concat.md b/api-reference-v1-stable/series/series.str.concat.md
new file mode 100644
index 0000000..2fa49d4
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.concat.md
@@ -0,0 +1,165 @@
+---
+description: Joins two or more strings/arrays
+---
+
+# Series.str.concat
+
+> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
+
+| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
+| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
+| position   | Int             | The position to add the **other **(string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
+| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns: **Series (String element)
+
+**Examples**
+
+Add the strings from an Array to the start of each of the String element in Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat(data2,0).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ XXlower boy          ║
+╟───┼──────────────────────╢
+║ 1 │ YYCAPITALS           ║
+╟───┼──────────────────────╢
+║ 2 │ BBsentence           ║
+╟───┼──────────────────────╢
+║ 3 │ 01SwApCaSe           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add the strings from an Array to the end of each of the String element in Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat(data2,1).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boyXX          ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALSYY           ║
+╟───┼──────────────────────╢
+║ 2 │ sentenceBB           ║
+╟───┼──────────────────────╢
+║ 3 │ SwApCaSe01           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add a string to the start of each string element in a Series
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat("pre",0).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ prelower boy         ║
+╟───┼──────────────────────╢
+║ 1 │ preCAPITALS          ║
+╟───┼──────────────────────╢
+║ 2 │ presentence          ║
+╟───┼──────────────────────╢
+║ 3 │ preSwApCaSe          ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add a string to the end of each string element in a series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat("post",1).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boypost        ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALSpost         ║
+╟───┼──────────────────────╢
+║ 2 │ sentencepost         ║
+╟───┼──────────────────────╢
+║ 3 │ SwApCaSepost         ║
+╚═══╧══════════════════════╝
+```
diff --git a/api-reference-v1-stable/series/series.str.endswith.md b/api-reference-v1-stable/series/series.str.endswith.md
new file mode 100644
index 0000000..2fb44cc
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.endswith.md
@@ -0,0 +1,51 @@
+---
+description: Checks whether a string ends with specified characters
+---
+
+# Series.str.endsWith
+
+> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series (Boolean element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.endsWith("e").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.includes.md b/api-reference-v1-stable/series/series.str.includes.md
new file mode 100644
index 0000000..8918773
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.includes.md
@@ -0,0 +1,51 @@
+---
+description: Checks whether a string contains the specified string/characters
+---
+
+# Series.str.includes
+
+> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.includes("C").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.indexof.md b/api-reference-v1-stable/series/series.str.indexof.md
new file mode 100644
index 0000000..8328d8b
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.indexof.md
@@ -0,0 +1,51 @@
+---
+description: the position of the first found occurrence of a specified value in a string
+---
+
+# Series.str.indexOf
+
+> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to obtain its index                                  | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns: **Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.indexOf("C").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.join.md b/api-reference-v1-stable/series/series.str.join.md
new file mode 100644
index 0000000..386da02
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.join.md
@@ -0,0 +1,52 @@
+---
+description: Join a new string value to all string elements in a Series.
+---
+
+# Series.str.join
+
+> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| valToJoin  | String | the string value you want to                                    |  ""                                                    |
+| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+**   **return **Series**
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.join("new", "_").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════════════════════════╗
+║ 0 │ lower part_new         ║
+╟───┼────────────────────────╢
+║ 1 │ CAPITALS city_new      ║
+╟───┼────────────────────────╢
+║ 2 │ this is a sentence_new ║
+╟───┼────────────────────────╢
+║ 3 │ SwAp CaSe_new          ║
+╚═══╧════════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.lastindexof.md b/api-reference-v1-stable/series/series.str.lastindexof.md
new file mode 100644
index 0000000..889a1f4
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.lastindexof.md
@@ -0,0 +1,54 @@
+---
+description: >-
+  Obtain the position of the last found occurrence of a specified value in a
+  string
+---
+
+# Series.str.lastIndexOf
+
+danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.lastIndexOf("r").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4                    ║
+╟───┼──────────────────────╢
+║ 1 │ -1                   ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.str.len.md b/api-reference-v1-stable/series/series.str.len.md
new file mode 100644
index 0000000..0ef06b2
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.len.md
@@ -0,0 +1,52 @@
+---
+description: Obtain the length of each string element in a Series
+---
+
+# Series.str.len
+
+> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Examples**
+
+Returns the length (number of character) of a string, and also return the length (number of elements) of Array
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["dog", 5,"cat","fog","mug","animals"]
+let sf = new dfd.Series(data)
+sf.str.len().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.repeat.md b/api-reference-v1-stable/series/series.str.repeat.md
new file mode 100644
index 0000000..76f9073
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.repeat.md
@@ -0,0 +1,51 @@
+---
+description: Repeat the the character(s) in a string for a specified number of time
+---
+
+# Series.str.repeat
+
+> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
+
+| Parameters | Type    | Description                                                     | Default                                                |
+| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
+| num        | integer | the string to search for                                        | 1                                                      |
+| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:  **Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['a', 'b', 'c', 'd']
+let sf = new dfd.Series(data)
+sf.str.repeat(4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ aaaa                 ║
+╟───┼──────────────────────╢
+║ 1 │ bbbb                 ║
+╟───┼──────────────────────╢
+║ 2 │ cccc                 ║
+╟───┼──────────────────────╢
+║ 3 │ dddd                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.replace.md b/api-reference-v1-stable/series/series.str.replace.md
new file mode 100644
index 0000000..da02575
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.replace.md
@@ -0,0 +1,50 @@
+---
+description: Replace a word or character(s) in a String element
+---
+
+# Series.str.replace
+
+> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]    
+
+| Parameters   | Type   | Description                                                     | Default                                                |
+| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
+| replaceValue | String | string to replace the searched string                           | ""                                                     |
+| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns: **Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.replace("A", "XXX").print()
+```
+{% endtab %}
+
+{% tab title="Browse" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower                ║
+╟───┼──────────────────────╢
+║ 1 │ CXXXPITALS           ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentence   ║
+╟───┼──────────────────────╢
+║ 3 │ SwXXXpCaSe           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.search.md b/api-reference-v1-stable/series/series.str.search.md
new file mode 100644
index 0000000..9dc48e0
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.search.md
@@ -0,0 +1,94 @@
+---
+description: Obtain the index position of a searched  character in a String
+---
+
+# Series.str.search
+
+> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
+
+
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | String | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+**     **return Series: Series of index position
+
+**Example**
+
+obtain the index position for a character
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.search("S").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 8                    ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Obtain the index position for a searched word
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower city ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.search("city").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 10                   ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.slice.md b/api-reference-v1-stable/series/series.str.slice.md
new file mode 100644
index 0000000..a807a36
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.slice.md
@@ -0,0 +1,54 @@
+---
+description: Obtain the substring of each element in a series
+---
+
+# Series.str.slice
+
+> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+**  **return Series.
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.slice(2, 4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ we                   ║
+╟───┼──────────────────────╢
+║ 1 │ AP                   ║
+╟───┼──────────────────────╢
+║ 2 │ hi                   ║
+╟───┼──────────────────────╢
+║ 3 │ Sw                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.split.md b/api-reference-v1-stable/series/series.str.split.md
new file mode 100644
index 0000000..8ba84b6
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.split.md
@@ -0,0 +1,74 @@
+---
+description: >-
+  Split string around a given separator/delimiter. The array of strings are then
+  converted to a string.
+---
+
+# Series.str.split
+
+> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
+
+| Parameters | Type   | Description                                                | Default                         |
+| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
+| splitVal   | String | separator or delimiter used to split the string            | " "                             |
+| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
+
+**Returns**
+
+                      return **Series**
+
+**Examples**
+
+Split the string value in the Series by space and obtain the Series values
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["king of the music","the lamba queen","I love the hat"]
+let sf = new dfd.Series(data)
+console.log(sf.str.split().values)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+**OUTPUT:     **`[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["king_of_the_music","the_lamba_queen","I_love_the_hat"]
+let sf = new dfd.Series(data)
+sf.str.split("_").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ king,of,the,music    ║
+╟───┼──────────────────────╢
+║ 1 │ the,lamba,queen      ║
+╟───┼──────────────────────╢
+║ 2 │ I,love,the,hat       ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.startswith.md b/api-reference-v1-stable/series/series.str.startswith.md
new file mode 100644
index 0000000..6290122
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.startswith.md
@@ -0,0 +1,51 @@
+---
+description: Test whether a string begins with specified characters
+---
+
+# Series.str.startsWith
+
+> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:  **Series (Boolean element)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.startsWith("S").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substr.md b/api-reference-v1-stable/series/series.str.substr.md
new file mode 100644
index 0000000..bb58cfd
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.substr.md
@@ -0,0 +1,50 @@
+---
+description: >-
+  Obtain the substring from a String element in a Series, by specifying the
+  number of string to obtain starting from a specific index.
+---
+
+# Series.str.substr
+
+> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+**      **return Series
+
+**Example**
+
+Obtain substring( containing 4 characters) starting from the third character (2nd index).
+
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.substr(2, 4).print()
+```
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ wer                  ║
+╟───┼──────────────────────╢
+║ 1 │ APIT                 ║
+╟───┼──────────────────────╢
+║ 2 │ his                  ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp                 ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substring.md b/api-reference-v1-stable/series/series.str.substring.md
new file mode 100644
index 0000000..39bd460
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.substring.md
@@ -0,0 +1,56 @@
+---
+description: Obtain the substring of each element in a series
+---
+
+# Series.str.substring
+
+> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**
+
+**     **return **Series**
+
+**Example**
+
+Obtain the substring from index 2 to index 4 of the string elements in a Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.substring(2, 4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ we                   ║
+╟───┼──────────────────────╢
+║ 1 │ AP                   ║
+╟───┼──────────────────────╢
+║ 2 │ hi                   ║
+╟───┼──────────────────────╢
+║ 3 │ Sw                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.tolowercase.md b/api-reference-v1-stable/series/series.str.tolowercase.md
new file mode 100644
index 0000000..9abe0f5
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.tolowercase.md
@@ -0,0 +1,50 @@
+---
+description: Converts all characters to lower case.
+---
+
+# Series.str.toLowerCase
+
+> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+Convert all characters in each string element to small letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['LOWER BOY', 'CAPITALS', 'SENTENCE', 'SWAPCASE']
+let sf = new dfd.Series(data)
+sf.str.toLowerCase().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boy            ║
+╟───┼──────────────────────╢
+║ 1 │ capitals             ║
+╟───┼──────────────────────╢
+║ 2 │ sentence             ║
+╟───┼──────────────────────╢
+║ 3 │ swapcase             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.touppercase.md b/api-reference-v1-stable/series/series.str.touppercase.md
new file mode 100644
index 0000000..f484390
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.touppercase.md
@@ -0,0 +1,52 @@
+---
+description: Converts all characters to uppercase.
+---
+
+# Series.str.toUpperCase
+
+> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (String element)
+
+**Example**
+
+Convert all characters in each string element to capital letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.toUpperCase().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ LOWER BOY            ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS             ║
+╟───┼──────────────────────╢
+║ 2 │ SENTENCE             ║
+╟───┼──────────────────────╢
+║ 3 │ SWAPCASE             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.trim.md b/api-reference-v1-stable/series/series.str.trim.md
new file mode 100644
index 0000000..c5df92a
--- /dev/null
+++ b/api-reference-v1-stable/series/series.str.trim.md
@@ -0,0 +1,50 @@
+---
+description: Remove leading and trailing Whitespace from a String element
+---
+
+# Series.str.trim
+
+> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+**         **return Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.trim().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower part           ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS city        ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentence   ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp CaSe            ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.sub.md b/api-reference-v1-stable/series/series.sub.md
new file mode 100644
index 0000000..e281d06
--- /dev/null
+++ b/api-reference-v1-stable/series/series.sub.md
@@ -0,0 +1,86 @@
+---
+description: Return Subtraction of series and other, element-wise (binary operator sub).
+---
+
+# Series.sub
+
+> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+subtract from values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.sub(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 29                   ║
+╟───┼──────────────────────╢
+║ 1 │ 38                   ║
+╟───┼──────────────────────╢
+║ 2 │ 0                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+subtract from a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.sub(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.sum.md b/api-reference-v1-stable/series/series.sum.md
new file mode 100644
index 0000000..fabcba7
--- /dev/null
+++ b/api-reference-v1-stable/series/series.sum.md
@@ -0,0 +1,36 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# Series.sum
+
+> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.sum())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+207
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference-v1-stable/series/series.tail.md b/api-reference-v1-stable/series/series.tail.md
new file mode 100644
index 0000000..7f986a1
--- /dev/null
+++ b/api-reference-v1-stable/series/series.tail.md
@@ -0,0 +1,49 @@
+---
+description: Prints the last n values in a Series
+---
+
+# Series.tail
+
+> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| rows | Int | number of last n values | 5 |
+
+ **Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf1 = new dfd.Series(data1)
+
+sf1.tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔════╤══════════════════════╗
+║    │ 0                    ║
+╟────┼──────────────────────╢
+║ 6  │ 30                   ║
+╟────┼──────────────────────╢
+║ 7  │ 40                   ║
+╟────┼──────────────────────╢
+║ 8  │ 39                   ║
+╟────┼──────────────────────╢
+║ 9  │ 89                   ║
+╟────┼──────────────────────╢
+║ 10 │ 78                   ║
+╚════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.tensor.md b/api-reference-v1-stable/series/series.tensor.md
new file mode 100644
index 0000000..a5c112c
--- /dev/null
+++ b/api-reference-v1-stable/series/series.tensor.md
@@ -0,0 +1,46 @@
+---
+description: Obtain the tensor representation of the values in a Series
+---
+
+# Series.tensor
+
+> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
+
+**Parameters**: None
+
+**Returns**: Tensorflow tensor
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.tensor)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 4 ],
+  dtype: 'float32',
+  size: 4,
+  strides: [],
+  dataId: {},
+  id: 2,
+  rankType: '1',
+  scopeId: 0
+}
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.unique.md b/api-reference-v1-stable/series/series.unique.md
new file mode 100644
index 0000000..c89d187
--- /dev/null
+++ b/api-reference-v1-stable/series/series.unique.md
@@ -0,0 +1,55 @@
+---
+description: Obtain the unique value in a Series
+---
+
+# Series.unique
+
+> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
+
+**Parameters**: None
+
+**Returns**: Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+sf.unique().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 6                    ║
+╟───┼──────────────────────╢
+║ 6 │ 7                    ║
+╟───┼──────────────────────╢
+║ 7 │ 8                    ║
+╟───┼──────────────────────╢
+║ 8 │ 22                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.value_counts.md b/api-reference-v1-stable/series/series.value_counts.md
new file mode 100644
index 0000000..e8d0ad7
--- /dev/null
+++ b/api-reference-v1-stable/series/series.value_counts.md
@@ -0,0 +1,54 @@
+---
+description: Count the number of occurrence for each element in a Series
+---
+
+# Series.value_counts
+
+> danfo.Series.value_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+
+**Parameters: **None
+
+**Returns: **Series (int element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+sf.value_counts().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤══════════════════════╗
+║    │ 0                    ║
+╟────┼──────────────────────╢
+║ 1  │ 3                    ║
+╟────┼──────────────────────╢
+║ 2  │ 1                    ║
+╟────┼──────────────────────╢
+║ 3  │ 1                    ║
+╟────┼──────────────────────╢
+║ 4  │ 1                    ║
+╟────┼──────────────────────╢
+║ 5  │ 4                    ║
+╟────┼──────────────────────╢
+║ 6  │ 1                    ║
+╟────┼──────────────────────╢
+║ 7  │ 1                    ║
+╟────┼──────────────────────╢
+║ 8  │ 2                    ║
+╟────┼──────────────────────╢
+║ 22 │ 1                    ║
+╚════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.values.md b/api-reference-v1-stable/series/series.values.md
new file mode 100644
index 0000000..4857487
--- /dev/null
+++ b/api-reference-v1-stable/series/series.values.md
@@ -0,0 +1,35 @@
+---
+description: Obtain the values in a series
+---
+
+# Series.values
+
+> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
+
+**Parameters:** None
+
+**Returns**:  Array
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.values)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 30.21091, 40.190901, 3.564, 5.0212 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference-v1-stable/series/series.var.md b/api-reference-v1-stable/series/series.var.md
new file mode 100644
index 0000000..4fdcbc2
--- /dev/null
+++ b/api-reference-v1-stable/series/series.var.md
@@ -0,0 +1,35 @@
+---
+description: Calculate the variance  of a Series
+---
+
+# Series.var
+
+> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.var())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+968.25
+```
+{% endtab %}
+{% endtabs %}
+

From d736a00de23865ce18d0b805c5ca8eaab2468c59 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 2 Jan 2022 19:44:31 +0000
Subject: [PATCH 155/202] GitBook: No commit message

---
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 .gitbook/assets/B17076_Cover.jpg              | Bin 0 -> 788502 bytes
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 .gitbook/assets/newplot (9).png               | Bin 0 -> 18874 bytes
 .gitbook/assets/newplot-29-.png               | Bin 0 -> 50358 bytes
 api-reference/dataframe/README.md             |  52 ++++++++--------
 .../dataframe/danfo.dataframe.abs.md          |   2 +-
 .../dataframe/danfo.dataframe.add.md          |  10 +--
 .../dataframe/danfo.dataframe.apply.md        |   2 +-
 .../dataframe/danfo.dataframe.column.md       |   2 +-
 .../dataframe/danfo.dataframe.copy.md         |   2 +-
 .../dataframe/danfo.dataframe.count.md        |   2 +-
 .../dataframe/danfo.dataframe.cummax.md       |   2 +-
 .../dataframe/danfo.dataframe.cummin.md       |   2 +-
 .../dataframe/danfo.dataframe.cumprod.md      |   2 +-
 .../dataframe/danfo.dataframe.cumsum.md       |   2 +-
 .../dataframe/danfo.dataframe.describe.md     |   4 +-
 .../dataframe/danfo.dataframe.div.md          |  10 +--
 .../dataframe/danfo.dataframe.dropna.md       |   8 +--
 api-reference/dataframe/danfo.dataframe.eq.md |   8 +--
 .../dataframe/danfo.dataframe.fillna.md       |   8 +--
 api-reference/dataframe/danfo.dataframe.ge.md |  10 +--
 .../dataframe/danfo.dataframe.groupby.md      |   4 +-
 api-reference/dataframe/danfo.dataframe.gt.md |  10 +--
 .../dataframe/danfo.dataframe.head.md         |   2 +-
 .../dataframe/danfo.dataframe.iloc.md         |   4 +-
 .../dataframe/danfo.dataframe.isna.md         |   2 +-
 api-reference/dataframe/danfo.dataframe.it.md |  10 +--
 api-reference/dataframe/danfo.dataframe.le.md |  10 +--
 .../dataframe/danfo.dataframe.loc.md          |  12 ++--
 .../dataframe/danfo.dataframe.max.md          |   2 +-
 .../dataframe/danfo.dataframe.mean.md         |   2 +-
 .../dataframe/danfo.dataframe.median.md       |   2 +-
 .../dataframe/danfo.dataframe.min.md          |   2 +-
 .../dataframe/danfo.dataframe.mod.md          |  10 +--
 .../dataframe/danfo.dataframe.mul.md          |  10 +--
 api-reference/dataframe/danfo.dataframe.ne.md |   8 +--
 .../dataframe/danfo.dataframe.pow.md          |  10 +--
 .../dataframe/danfo.dataframe.replace.md      |   6 +-
 .../dataframe/danfo.dataframe.round.md        |   2 +-
 .../dataframe/danfo.dataframe.sample.md       |   4 +-
 .../dataframe/danfo.dataframe.std.md          |   2 +-
 .../dataframe/danfo.dataframe.sub.md          |  10 +--
 .../dataframe/danfo.dataframe.sum.md          |   2 +-
 .../dataframe/danfo.dataframe.tail.md         |   2 +-
 .../dataframe/danfo.dataframe.var.md          |   2 +-
 api-reference/dataframe/dataframe.append.md   |   3 +-
 .../dataframe/dataframe.apply_map.md          |   8 +--
 api-reference/dataframe/dataframe.astype.md   |   4 +-
 api-reference/dataframe/dataframe.axes.md     |   4 +-
 api-reference/dataframe/dataframe.drop.md     |   4 +-
 api-reference/dataframe/dataframe.dtypes.md   |   6 +-
 api-reference/dataframe/dataframe.index.md    |   2 +-
 api-reference/dataframe/dataframe.ndim.md     |   4 +-
 .../dataframe/dataframe.nunique-1.md          |   4 +-
 api-reference/dataframe/dataframe.rename.md   |   6 +-
 .../dataframe/dataframe.reset_index.md        |   8 +--
 .../dataframe/dataframe.select_dtypes.md      |   6 +-
 api-reference/dataframe/dataframe.shape.md    |   2 +-
 .../dataframe/dataframe.sort_index.md         |   7 ++-
 .../dataframe/dataframe.sort_values.md        |   8 +--
 api-reference/dataframe/dataframe.tensor.md   |  11 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  20 +++---
 api-reference/dataframe/dataframe.to_json.md  |  19 +++---
 api-reference/dataframe/dataframe.values.md   |   4 +-
 .../general-functions/danfo.concat.md         |   8 +--
 .../general-functions/danfo.date_range.md     |   6 +-
 .../general-functions/danfo.get_dummies.md    |   6 +-
 .../general-functions/danfo.labelencoder.md   |   8 +--
 .../general-functions/danfo.merge.md          |   4 +-
 .../general-functions/danfo.minmaxscaler.md   |   4 +-
 .../general-functions/danfo.onehotencoder.md  |   8 +--
 .../general-functions/danfo.standardscaler.md |   4 +-
 api-reference/groupby/groupby.agg.md          |   2 +-
 api-reference/groupby/groupby.max.md          |   2 +-
 api-reference/input-output/danfo.read_csv.md  |  21 +++----
 api-reference/input-output/danfo.read_json.md |  19 +++---
 api-reference/input-output/danfo.to_csv.md    |  18 +++---
 api-reference/input-output/danfo.to_json.md   |  20 +++---
 api-reference/plotting/bar-charts.md          |   9 +--
 api-reference/plotting/box-plots.md           |  12 +---
 .../plotting/configuring-your-plots.md        |   9 ++-
 api-reference/plotting/histograms.md          |  11 ++--
 api-reference/plotting/line-charts.md         |  11 ++--
 api-reference/plotting/pie-charts.md          |  12 ++--
 api-reference/plotting/scatter-plots.md       |   9 +--
 api-reference/plotting/tables.md              |   8 +--
 api-reference/plotting/violin-plots.md        |  10 +--
 api-reference/series/README.md                |  58 +++++++++---------
 api-reference/series/series.abs.md            |   2 +-
 api-reference/series/series.append.md         |   2 +-
 api-reference/series/series.apply.md          |   2 +-
 api-reference/series/series.argsort.md        |   2 +-
 api-reference/series/series.describe.md       |   2 +-
 .../series/series.drop_duplicates.md          |   6 +-
 api-reference/series/series.dt.day.md         |   2 +-
 api-reference/series/series.dt.hour.md        |   4 +-
 api-reference/series/series.dt.minute.md      |   2 +-
 api-reference/series/series.dt.month.md       |   2 +-
 api-reference/series/series.dt.month_name.md  |   6 +-
 api-reference/series/series.dt.monthday.md    |   2 +-
 api-reference/series/series.dt.second.md      |   2 +-
 api-reference/series/series.dt.weekdays.md    |   2 +-
 api-reference/series/series.dt.year.md        |   2 +-
 api-reference/series/series.dtype.md          |   2 +-
 api-reference/series/series.ge.md             |   2 +-
 api-reference/series/series.iloc.md           |  10 +--
 api-reference/series/series.le.md             |   2 +-
 api-reference/series/series.loc.md            |  10 +--
 api-reference/series/series.ndim.md           |   4 +-
 api-reference/series/series.nunique.md        |   2 +-
 api-reference/series/series.reset_index.md    |   8 +--
 api-reference/series/series.round.md          |   2 +-
 api-reference/series/series.sample.md         |   2 +-
 api-reference/series/series.set_index.md      |   6 +-
 api-reference/series/series.std.md            |   8 +--
 api-reference/series/series.str.concat.md     |   4 +-
 api-reference/series/series.str.indexof.md    |   2 +-
 api-reference/series/series.str.join.md       |   2 +-
 api-reference/series/series.str.repeat.md     |   2 +-
 api-reference/series/series.str.replace.md    |   4 +-
 api-reference/series/series.str.search.md     |   2 +-
 api-reference/series/series.str.slice.md      |   2 +-
 api-reference/series/series.str.split.md      |   4 +-
 api-reference/series/series.str.startswith.md |   2 +-
 api-reference/series/series.str.substr.md     |   2 +-
 api-reference/series/series.str.substring.md  |   2 +-
 api-reference/series/series.str.trim.md       |   2 +-
 api-reference/series/series.value_counts.md   |   8 +--
 ...-driven-applications-with-danfo.js-book.md |   4 +-
 contributing-guide.md                         |  30 ++++-----
 examples/using-danfojs-in-react.md            |  10 +--
 getting-started.md                            |  34 +++++-----
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diff --git a/api-reference/dataframe/README.md b/api-reference/dataframe/README.md
index a45aabd..d48a28d 100644
--- a/api-reference/dataframe/README.md
+++ b/api-reference/dataframe/README.md
@@ -5,10 +5,10 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 # Dataframe
 
 > `DataFrame`(data, {\
->                                 **columns:** \[ Array ],\
->                                  **dtypes:** \[ Array ],** **\
-> **                                 index: **\[Array], \
->                                  **options**: Object})
+> &#x20;                               **columns:** \[ Array ],\
+> &#x20;                                **dtypes:** \[ Array ], **** \
+> &#x20;                                **index:** \[Array], \
+> &#x20;                                **options**: Object})
 
 ### Attributes
 
@@ -16,14 +16,14 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 | ------------------------------------------------ | ---------------------------------------- |
 | [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
 
-| [`DataFrame.ctypes`](dataframe.dtypes.md)               | Return the data types in the DataFrame.                                |
-| ------------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.select_dtypes`](dataframe.select_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md)               | Return a Numpy representation of the DataFrame.                        |
-| [`DataFrame.axes`](dataframe.axes.md)                   | Return a Object representing the axes of the DataFrame.                |
-| [`DataFrame.ndim`](dataframe.ndim.md)                   | Return an int representing the number of axes / array dimensions.      |
-| [`DataFrame.size`](broken-reference)                    | Return an int representing the number of elements in this object.      |
-| [`DataFrame.shape`](dataframe.shape.md)                 | Return a tuple representing the dimensionality of the DataFrame.       |
+| [`DataFrame.ctypes`](dataframe.dtypes.md)                | Return the data types in the DataFrame.                                |
+| -------------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.select_dtypes`](dataframe.select\_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
+| [`DataFrame.values`](dataframe.values.md)                | Return a Numpy representation of the DataFrame.                        |
+| [`DataFrame.axes`](dataframe.axes.md)                    | Return a Object representing the axes of the DataFrame.                |
+| [`DataFrame.ndim`](dataframe.ndim.md)                    | Return an int representing the number of axes / array dimensions.      |
+| [`DataFrame.size`](broken-reference)                     | Return an int representing the number of elements in this object.      |
+| [`DataFrame.shape`](dataframe.shape.md)                  | Return a tuple representing the dimensionality of the DataFrame.       |
 
 ### Conversion
 
@@ -87,15 +87,15 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 ### Reindexing / selection / label manipulation
 
-|                                                     |                                                         |
-| --------------------------------------------------- | ------------------------------------------------------- |
-| [`DataFrame.drop`](dataframe.drop.md)               | Drop specified labels from rows or columns.             |
-| [`DataFrame.head`](danfo.dataframe.head.md)         | Return the first n rows.                                |
-| [`DataFrame.rename`](dataframe.rename.md)           | Alter axes labels.                                      |
-| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame                          |
-| [`DataFrame.sample`](danfo.dataframe.sample.md)     | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set_index.md)     | Set the DataFrame index using existing columns.         |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)         | Return the last n rows.                                 |
+|                                                      |                                                         |
+| ---------------------------------------------------- | ------------------------------------------------------- |
+| [`DataFrame.drop`](dataframe.drop.md)                | Drop specified labels from rows or columns.             |
+| [`DataFrame.head`](danfo.dataframe.head.md)          | Return the first n rows.                                |
+| [`DataFrame.rename`](dataframe.rename.md)            | Alter axes labels.                                      |
+| [`DataFrame.reset_index`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
+| [`DataFrame.sample`](danfo.dataframe.sample.md)      | Return a random sample of items from an axis of object. |
+| [`DataFrame.set_index`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)          | Return the last n rows.                                 |
 
 ### Missing data handling
 
@@ -110,7 +110,7 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 |                                                                                                                        |                                       |
 | ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| [`DataFrame.sort_values`](dataframe.sort_values.md)                                                                    | Sort by the values along either axis. |
+| [`DataFrame.sort_values`](dataframe.sort\_values.md)                                                                   | Sort by the values along either axis. |
 | [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
 
 ### Combining / comparing / joining / merging
@@ -139,7 +139,7 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 ### Serialization / IO / conversion
 
-|                                             |                                                      |
-| ------------------------------------------- | ---------------------------------------------------- |
-| [`DataFrame.to_csv`](dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string.                 |
+|                                              |                                                      |
+| -------------------------------------------- | ---------------------------------------------------- |
+| [`DataFrame.to_csv`](dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`DataFrame.to_json`](dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference/dataframe/danfo.dataframe.abs.md b/api-reference/dataframe/danfo.dataframe.abs.md
index 83c6cd3..8504222 100644
--- a/api-reference/dataframe/danfo.dataframe.abs.md
+++ b/api-reference/dataframe/danfo.dataframe.abs.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index 467c143..925a3cd 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -13,11 +13,11 @@ danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Addition of** scalar to **DataFrame along default axis 1
+### Addition of **scalar to** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  Series to **DataFrame along axis 0
+### Addition of  **Series to** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -105,7 +105,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of**  **DataFrame to a DataFrame
+### Addition of  ****  DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -152,7 +152,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of** ** Array to DataFrame along axis 0
+### Addition of **** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.apply.md b/api-reference/dataframe/danfo.dataframe.apply.md
index 01fab60..de42294 100644
--- a/api-reference/dataframe/danfo.dataframe.apply.md
+++ b/api-reference/dataframe/danfo.dataframe.apply.md
@@ -13,7 +13,7 @@ danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opens
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.column.md b/api-reference/dataframe/danfo.dataframe.column.md
index 2d70bfd..7d963a2 100644
--- a/api-reference/dataframe/danfo.dataframe.column.md
+++ b/api-reference/dataframe/danfo.dataframe.column.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.copy.md b/api-reference/dataframe/danfo.dataframe.copy.md
index ef705ed..188179d 100644
--- a/api-reference/dataframe/danfo.dataframe.copy.md
+++ b/api-reference/dataframe/danfo.dataframe.copy.md
@@ -8,7 +8,7 @@ danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/b
 
 **Returns:**
 
-**       **return** new DataFrame**
+&#x20;      ****       return **new DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.count.md b/api-reference/dataframe/danfo.dataframe.count.md
index 9e9916e..637cbf4 100644
--- a/api-reference/dataframe/danfo.dataframe.count.md
+++ b/api-reference/dataframe/danfo.dataframe.count.md
@@ -14,7 +14,7 @@ danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.cummax.md b/api-reference/dataframe/danfo.dataframe.cummax.md
index c46ae7b..fb69bb5 100644
--- a/api-reference/dataframe/danfo.dataframe.cummax.md
+++ b/api-reference/dataframe/danfo.dataframe.cummax.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.cummin.md b/api-reference/dataframe/danfo.dataframe.cummin.md
index 53f4045..be026a6 100644
--- a/api-reference/dataframe/danfo.dataframe.cummin.md
+++ b/api-reference/dataframe/danfo.dataframe.cummin.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.cumprod.md b/api-reference/dataframe/danfo.dataframe.cumprod.md
index b780cd2..06ad53a 100644
--- a/api-reference/dataframe/danfo.dataframe.cumprod.md
+++ b/api-reference/dataframe/danfo.dataframe.cumprod.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index 4863805..07be896 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.describe.md b/api-reference/dataframe/danfo.dataframe.describe.md
index 4dac614..0540873 100644
--- a/api-reference/dataframe/danfo.dataframe.describe.md
+++ b/api-reference/dataframe/danfo.dataframe.describe.md
@@ -10,11 +10,11 @@ danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfo
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values. 
+Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index 54123d9..c98c66e 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -15,11 +15,11 @@ danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Division of** scalar with **DataFrame along default axis 1
+### Division of **scalar with** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,7 +63,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of**  Series with **DataFrame along axis 0
+### Division of  **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -110,7 +110,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of**  **DataFrame **with** a DataFrame
+### Division of  ****  DataFrame **with** a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -159,7 +159,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Division of** ** Array **with** DataFrame along axis 0
+### Division of **** Array **with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.dropna.md b/api-reference/dataframe/danfo.dataframe.dropna.md
index 81006a1..429bcbe 100644
--- a/api-reference/dataframe/danfo.dataframe.dropna.md
+++ b/api-reference/dataframe/danfo.dataframe.dropna.md
@@ -9,15 +9,15 @@ danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensour
 | Parameters | Type   | Description                                                                                                                   | Default              |
 | ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
 | axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
-| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace: **false} |
+| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace:** false} |
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Drop rows (axis=0) with missing values  
+### Drop rows (axis=0) with missing values &#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -53,7 +53,7 @@ df_drop.print()
 {% endtab %}
 {% endtabs %}
 
-### Drop columns (axis=1) with missing values  
+### Drop columns (axis=1) with missing values &#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.eq.md b/api-reference/dataframe/danfo.dataframe.eq.md
index a43fbd0..5f3cf2a 100644
--- a/api-reference/dataframe/danfo.dataframe.eq.md
+++ b/api-reference/dataframe/danfo.dataframe.eq.md
@@ -17,7 +17,7 @@ danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/da
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -102,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -147,7 +147,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing **** DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.fillna.md b/api-reference/dataframe/danfo.dataframe.fillna.md
index 49aa13d..2ddb860 100644
--- a/api-reference/dataframe/danfo.dataframe.fillna.md
+++ b/api-reference/dataframe/danfo.dataframe.fillna.md
@@ -15,11 +15,11 @@ danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/openso
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Fill missing values in specified columns with specified values 
+### Fill missing values in specified columns with specified values&#x20;
 
 Missing values are NaN, undefined or null values
 
@@ -84,7 +84,7 @@ df_filled.print()
 {% endtab %}
 {% endtabs %}
 
-### Fill all columns with NaNs with a specified value 
+### Fill all columns with NaNs with a specified value&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -130,7 +130,7 @@ df_filled.print()
 {% endtab %}
 {% endtabs %}
 
-### Fill NaNs inplace 
+### Fill NaNs inplace&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.ge.md b/api-reference/dataframe/danfo.dataframe.ge.md
index 3b41ec3..8e5401b 100644
--- a/api-reference/dataframe/danfo.dataframe.ge.md
+++ b/api-reference/dataframe/danfo.dataframe.ge.md
@@ -15,11 +15,11 @@ danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**     DataFrame**
+&#x20;    **DataFrame**
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +61,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,7 +106,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -152,7 +152,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing **** DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index a31f095..e7d084f 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja
 
 **Returns:**
 
-**       **return** DataFrame.groups**
+&#x20;      ****       return **DataFrame.groups**
 
 ## **Examples**
 
@@ -78,7 +78,7 @@ A groupby operation will return a GroupBy class object. You can apply any of the
 3. [std](danfo.dataframe.std.md)
 4. [var](danfo.dataframe.var.md)
 5. [mean](danfo.dataframe.mean.md)
-6. [cumsum](danfo.dataframe.cumsum.md) 
+6. [cumsum](danfo.dataframe.cumsum.md)&#x20;
 7. [cummax](danfo.dataframe.cummax.md)
 8. [cumprod](danfo.dataframe.cumprod.md)
 9. [cummin](danfo.dataframe.cummin.md)
diff --git a/api-reference/dataframe/danfo.dataframe.gt.md b/api-reference/dataframe/danfo.dataframe.gt.md
index 121c7e7..ec3f7ba 100644
--- a/api-reference/dataframe/danfo.dataframe.gt.md
+++ b/api-reference/dataframe/danfo.dataframe.gt.md
@@ -13,11 +13,11 @@ danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9j
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -102,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -148,7 +148,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing **** DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.head.md b/api-reference/dataframe/danfo.dataframe.head.md
index 10ae0f2..3fe62c4 100644
--- a/api-reference/dataframe/danfo.dataframe.head.md
+++ b/api-reference/dataframe/danfo.dataframe.head.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfo
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index f8e0f4c..ffd7e25 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfo
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
@@ -72,7 +72,7 @@ sub_df.print()
 
 ### **Index by a slice of row and return all columns**
 
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included. 
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.isna.md b/api-reference/dataframe/danfo.dataframe.isna.md
index b919db5..830bda5 100644
--- a/api-reference/dataframe/danfo.dataframe.isna.md
+++ b/api-reference/dataframe/danfo.dataframe.isna.md
@@ -11,7 +11,7 @@ danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.it.md b/api-reference/dataframe/danfo.dataframe.it.md
index 69093a2..3759197 100644
--- a/api-reference/dataframe/danfo.dataframe.it.md
+++ b/api-reference/dataframe/danfo.dataframe.it.md
@@ -13,11 +13,11 @@ danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9j
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -104,7 +104,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -150,7 +150,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with an Array
+### Comparing **** DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.le.md b/api-reference/dataframe/danfo.dataframe.le.md
index 0b88ff1..31ce3f7 100644
--- a/api-reference/dataframe/danfo.dataframe.le.md
+++ b/api-reference/dataframe/danfo.dataframe.le.md
@@ -15,11 +15,11 @@ danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +61,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,7 +106,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -151,7 +151,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with an Array
+### Comparing **** DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index 88d7556..abdcdd9 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfoj
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
@@ -25,7 +25,7 @@ Allowed inputs for are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
-_**Note: **only** **the start label is included, and the end label is ignored. _
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
 
 `.loc` will raise a `ValueEror` if a requested label is not found.
 
@@ -198,7 +198,7 @@ sub_df.print()
 
 ## **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c. 
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -257,7 +257,7 @@ df``.loc({ row: [`"a":"e"`]}).print()``\
 _**Inner**_ _**quotes are not needed for numeric indices!**_
 {% endhint %}
 
-### Slice DataFrame rows by boolean condition 
+### Slice DataFrame rows by boolean condition&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -294,7 +294,7 @@ sub_df.print()
 ### Slice DataFrame rows by multiple boolean conditions
 
 {% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame._&#x20;
 {% endhint %}
 
 {% tabs %}
@@ -330,7 +330,7 @@ sub_df.print()
 ### Slice DataFrame with boolean mask
 
 {% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._&#x20;
 {% endhint %}
 
 {% tabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.max.md b/api-reference/dataframe/danfo.dataframe.max.md
index f8e9124..a5c2119 100644
--- a/api-reference/dataframe/danfo.dataframe.max.md
+++ b/api-reference/dataframe/danfo.dataframe.max.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.mean.md b/api-reference/dataframe/danfo.dataframe.mean.md
index fbc005e..172cff5 100644
--- a/api-reference/dataframe/danfo.dataframe.mean.md
+++ b/api-reference/dataframe/danfo.dataframe.mean.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.median.md b/api-reference/dataframe/danfo.dataframe.median.md
index e75519f..3e33583 100644
--- a/api-reference/dataframe/danfo.dataframe.median.md
+++ b/api-reference/dataframe/danfo.dataframe.median.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.min.md b/api-reference/dataframe/danfo.dataframe.min.md
index 93b9bf8..49a13d6 100644
--- a/api-reference/dataframe/danfo.dataframe.min.md
+++ b/api-reference/dataframe/danfo.dataframe.min.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index 8cd7e9f..18558e6 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -13,11 +13,11 @@ danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Modulo of** scalar with **DataFrame along default axis 1
+### Modulo of **scalar with** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -63,7 +63,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Modulo of**  Series with **DataFrame along axis 0
+### Modulo of  **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -111,7 +111,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Modulo of**  **DataFrame with a DataFrame
+### Modulo of  ****  DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -161,7 +161,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Modulo of** ** Array with DataFrame along axis 0
+### Modulo of **** Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 3627b59..3303d77 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -13,11 +13,11 @@ danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Multiplication of** scalar to **DataFrame along default axis 1
+### Multiplication of **scalar to** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of**  Series to **DataFrame along axis 0
+### Multiplication of  **Series to** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,7 +106,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of**  **DataFrame to a DataFrame
+### Multiplication of  ****  DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -155,7 +155,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of** ** Array to DataFrame along axis 0
+### Multiplication of **** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.ne.md b/api-reference/dataframe/danfo.dataframe.ne.md
index 1996400..dd45cf0 100644
--- a/api-reference/dataframe/danfo.dataframe.ne.md
+++ b/api-reference/dataframe/danfo.dataframe.ne.md
@@ -17,7 +17,7 @@ danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/da
 
 ## **Examples**
 
-### Comparing** **DataFrame with a scalar value:
+### Comparing **** DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a Series along the column axis:
+### Comparing **** DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -102,7 +102,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a DataFrame
+### Comparing **** DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -148,7 +148,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing** **DataFrame with a JavaScript Array
+### Comparing **** DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index 634e6e2..e6f1e6c 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -15,11 +15,11 @@ danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Exponential of** scalar with **DataFrame along default axis 1
+### Exponential of **scalar with** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -65,7 +65,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of**  Series with **DataFrame along axis 0
+### Exponential of  **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -113,7 +113,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of**  **DataFrame with a DataFrame
+### Exponential of  ****  DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -163,7 +163,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Exponential of** ** Array with DataFrame along axis 0
+### Exponential of **** Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.replace.md b/api-reference/dataframe/danfo.dataframe.replace.md
index 9a0b39f..82fa16d 100644
--- a/api-reference/dataframe/danfo.dataframe.replace.md
+++ b/api-reference/dataframe/danfo.dataframe.replace.md
@@ -10,11 +10,11 @@ description: Replaces values in a DataFrame with specified values
 | ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
 | oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
 | newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
-| options    | Object                  | <p><strong>columns: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
+| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ****
 
@@ -63,7 +63,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-By not specifying a** **column**, **the** **replace works on all columns ** **
+By not specifying a **** column**,** the **** replace works on all columns ****&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.round.md b/api-reference/dataframe/danfo.dataframe.round.md
index 32e7c8a..e12cb52 100644
--- a/api-reference/dataframe/danfo.dataframe.round.md
+++ b/api-reference/dataframe/danfo.dataframe.round.md
@@ -13,7 +13,7 @@ danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index 73e057a..b8a4c96 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -13,7 +13,7 @@ danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9j
 
 **Returns:**
 
-**       **return** {Promies} resolves to DataFrame**
+&#x20;      ****       return **{Promies} resolves to DataFrame**
 
 ****
 
@@ -63,7 +63,7 @@ load_data()
 
 ## Sample a DataFrame randomly with seed
 
-By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible. 
+By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.std.md b/api-reference/dataframe/danfo.dataframe.std.md
index b94372e..1a37e2e 100644
--- a/api-reference/dataframe/danfo.dataframe.std.md
+++ b/api-reference/dataframe/danfo.dataframe.std.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index aded5cb..e36ddcc 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -13,11 +13,11 @@ danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Subtraction of** scalar to **DataFrame along default axis 1
+### Subtraction of **scalar to** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,7 +60,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of**  Series to **DataFrame along axis 0
+### Subtraction of  **Series to** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,7 +106,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of**  **DataFrame to a DataFrame
+### Subtraction of  ****  DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -154,7 +154,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of** ** Array to DataFrame along axis 0
+### Subtraction of **** Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.sum.md b/api-reference/dataframe/danfo.dataframe.sum.md
index 515788b..3937d3f 100644
--- a/api-reference/dataframe/danfo.dataframe.sum.md
+++ b/api-reference/dataframe/danfo.dataframe.sum.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.tail.md b/api-reference/dataframe/danfo.dataframe.tail.md
index f317ba2..165acac 100644
--- a/api-reference/dataframe/danfo.dataframe.tail.md
+++ b/api-reference/dataframe/danfo.dataframe.tail.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfo
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/danfo.dataframe.var.md b/api-reference/dataframe/danfo.dataframe.var.md
index b95bb1a..ea0daf2 100644
--- a/api-reference/dataframe/danfo.dataframe.var.md
+++ b/api-reference/dataframe/danfo.dataframe.var.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/dan
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index ae84a8b..bc2e29d 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -1,6 +1,7 @@
 ---
 description: Adds new row to the end of a DataFrame
 ---
+
 # DataFrame.append
 
 danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
@@ -13,7 +14,7 @@ danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danf
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.apply_map.md b/api-reference/dataframe/dataframe.apply_map.md
index 986566f..3819821 100644
--- a/api-reference/dataframe/dataframe.apply_map.md
+++ b/api-reference/dataframe/dataframe.apply_map.md
@@ -2,9 +2,9 @@
 description: Apply a function to a Dataframe values element-wise.
 ---
 
-# DataFrame.apply_map
+# DataFrame.apply\_map
 
-danfo.DataFrame.**apply_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.**apply\_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
 
 | Parameters | Type     | Description                                                           | Default   |
 | ---------- | -------- | --------------------------------------------------------------------- | --------- |
@@ -13,14 +13,14 @@ danfo.DataFrame.**apply_map**(callable, options) \[[source](https://github.com/o
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
 ### Apply a  function to all values in a DataFrame
 
 {% hint style="info" %}
-Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function. 
+Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.&#x20;
 {% endhint %}
 
 {% tabs %}
diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index fb388a3..e6434dc 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -12,7 +12,7 @@ danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
@@ -162,7 +162,7 @@ df_new.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-**Note: **Casting a string column of alphabets/words to numeric form will return NaNs as values
+**Note:** Casting a string column of alphabets/words to numeric form will return NaNs as values
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.axes.md b/api-reference/dataframe/dataframe.axes.md
index 4bdc319..399a0a4 100644
--- a/api-reference/dataframe/dataframe.axes.md
+++ b/api-reference/dataframe/dataframe.axes.md
@@ -5,13 +5,13 @@ description: >-
   order.
 ---
 
-# DataFrame.axes
+# DataFrame.axis
 
 danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-**       **return** Object**
+&#x20;      ****       return **Object**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index 2376308..0b742aa 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -14,13 +14,13 @@ danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
 ### Drop columns by specifying the names
 
-By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.dtypes.md b/api-reference/dataframe/dataframe.dtypes.md
index 6e856d5..791d296 100644
--- a/api-reference/dataframe/dataframe.dtypes.md
+++ b/api-reference/dataframe/dataframe.dtypes.md
@@ -11,11 +11,11 @@ danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/b
 
 **Returns:**
 
-**       **return**  Series**
+&#x20;      ****       return  **Series**
 
 ## **Examples**
 
-Returns auto-generated** **index of a** **DataFrame
+Returns auto-generated **** index of a **** DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -97,4 +97,4 @@ df.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-**Note**: To cast a type, use the [astype](dataframe.astype.md) method. 
+**Note**: To cast a type, use the [astype](dataframe.astype.md) method.&#x20;
diff --git a/api-reference/dataframe/dataframe.index.md b/api-reference/dataframe/dataframe.index.md
index 0983db8..a185e63 100644
--- a/api-reference/dataframe/dataframe.index.md
+++ b/api-reference/dataframe/dataframe.index.md
@@ -8,7 +8,7 @@ danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/bl
 
 ## **Examples**
 
-Returns auto-generated** **index of a** **DataFrame
+Returns auto-generated **** index of a **** DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.ndim.md b/api-reference/dataframe/dataframe.ndim.md
index 002da15..c64dd09 100644
--- a/api-reference/dataframe/dataframe.ndim.md
+++ b/api-reference/dataframe/dataframe.ndim.md
@@ -10,9 +10,9 @@ danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blo
 
 **Returns:**
 
-**       **return** Int**
+&#x20;      ****       return **Int**
 
-**Note:** To get the **shape **of the DataFrame use the .[shape](dataframe.shape.md) property.
+**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.nunique-1.md b/api-reference/dataframe/dataframe.nunique-1.md
index f06d4ed..8166904 100644
--- a/api-reference/dataframe/dataframe.nunique-1.md
+++ b/api-reference/dataframe/dataframe.nunique-1.md
@@ -8,7 +8,7 @@ danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
@@ -95,4 +95,4 @@ df.nunique(axis=0).print()
 {% endtab %}
 {% endtabs %}
 
-**Note: **To get the unique elements along an axis, use** **[DataFrame.unique.](dataframe.nunique-1.md)
+**Note:** To get the unique elements along an axis, use **** [DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference/dataframe/dataframe.rename.md b/api-reference/dataframe/dataframe.rename.md
index 6625bc1..c33ce99 100644
--- a/api-reference/dataframe/dataframe.rename.md
+++ b/api-reference/dataframe/dataframe.rename.md
@@ -15,13 +15,13 @@ danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/d
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### Rename columns 
+### Rename columns&#x20;
 
-By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.reset_index.md b/api-reference/dataframe/dataframe.reset_index.md
index 00239fc..ddee8e0 100644
--- a/api-reference/dataframe/dataframe.reset_index.md
+++ b/api-reference/dataframe/dataframe.reset_index.md
@@ -2,17 +2,17 @@
 description: Reset the index of the DataFrame, and use the default one instead.
 ---
 
-# DataFrame.reset_index
+# DataFrame.reset\_index
 
-danfo.DataFrame.**reset_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**reset\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
 | Parameters | Type   | Description                                                                                                                                                                | Default          |
 | ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object | <p><strong>{ </strong></p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
+| options    | Object | <p><strong>{</strong> </p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.select_dtypes.md b/api-reference/dataframe/dataframe.select_dtypes.md
index 127b433..ba5044e 100644
--- a/api-reference/dataframe/dataframe.select_dtypes.md
+++ b/api-reference/dataframe/dataframe.select_dtypes.md
@@ -2,9 +2,9 @@
 description: Return a subset of the DataFrame’s columns based on the column dtypes.
 ---
 
-# DataFrame.select_dtypes
+# DataFrame.select\_dtypes
 
-danfo.DataFrame.**select_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
+danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
 
 | Parameters | Type  | Description                      | Default |
 | ---------- | ----- | -------------------------------- | ------- |
@@ -12,7 +12,7 @@ danfo.DataFrame.**select_dtypes** \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return**  DataFrame**
+&#x20;      ****       return  **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.shape.md b/api-reference/dataframe/dataframe.shape.md
index 3e8486f..746491d 100644
--- a/api-reference/dataframe/dataframe.shape.md
+++ b/api-reference/dataframe/dataframe.shape.md
@@ -8,7 +8,7 @@ danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/bl
 
 **Returns:**
 
-**       **return** Int**
+&#x20;      ****       return **Int**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.sort_index.md b/api-reference/dataframe/dataframe.sort_index.md
index 0829afe..81d5b7f 100644
--- a/api-reference/dataframe/dataframe.sort_index.md
+++ b/api-reference/dataframe/dataframe.sort_index.md
@@ -1,9 +1,10 @@
 ---
 description: Sort DataFrame by index
 ---
-# DataFrame.sort_index
 
-DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
+# DataFrame.sort\_index
+
+DataFrame.**sort\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
 
 | Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
 | ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
@@ -11,7 +12,7 @@ DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 8da51fe..54345b1 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -2,17 +2,17 @@
 description: Sort a Dataframe in ascending or descending order by a specified column name.
 ---
 
-# DataFrame.sort_values
+# DataFrame.sort\_values
 
-danfo.DataFrame.**sort_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
 | Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
 | ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending: </strong>Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/dataframe/dataframe.tensor.md b/api-reference/dataframe/dataframe.tensor.md
index 125198f..822886e 100644
--- a/api-reference/dataframe/dataframe.tensor.md
+++ b/api-reference/dataframe/dataframe.tensor.md
@@ -1,15 +1,18 @@
 ---
-description: Return a Tensorflow tensor representation of the DataFrame. Only the values in the DataFrame will be returned, the axes labels will be removed.
+description: >-
+  Return a Tensorflow tensor representation of the DataFrame. Only the values in
+  the DataFrame will be returned, the axes labels will be removed.
 ---
+
 # DataFrame.tensor
 
 danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
 
 **Returns:**
 
-**       **return** tf.tensor**
+&#x20;      ****       return **tf.tensor**
 
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care. 
+> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care.&#x20;
 
 ## **Examples**
 
@@ -52,7 +55,7 @@ Tensor
 {% endtab %}
 {% endtabs %}
 
-String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations. 
+String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index ee31a5e..8e84e9a 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -1,17 +1,19 @@
 ---
 description: Convert DataFrame data to a comma-separated values (csv)
 ---
-# DataFrame.to_csv
 
-DataFrame.**to_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+# DataFrame.to\_csv
 
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
-| -------------- | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+DataFrame.**to\_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
+| -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
+| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
 
-****
+The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+***
 
 ### Convert DataFrame to CSV string and return value
 
@@ -69,7 +71,6 @@ Abs,Count,country code
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -98,7 +99,7 @@ df.to_csv({ filePath: "testOut.csv"});
 
 ### Convert DataFrame to CSV string and download file in browser
 
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
 
 ```javascript
 let data = {
@@ -111,4 +112,3 @@ let df = new dfd.DataFrame(data);
 
 df.to_csv({ fileName: "testOut.csv", download: true});
 ```
-
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 59f7e34..326f422 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -1,15 +1,17 @@
 ---
 description: Convert DataFrame to JSON format
 ---
-# DataFrame.to_json
 
-> DataFrame.**to_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+# DataFrame.to\_json
 
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
-| -------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+> DataFrame.**to\_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
 
-The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
+| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
+| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
 ### Convert DataFrame/Series to JSON and return value
 
@@ -82,12 +84,11 @@ console.log(jsonObj);
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame/Series to JSON  and write to file path
+### Convert DataFrame/Series to JSON and write to file path
 
 Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
 
@@ -111,7 +112,7 @@ df.to_json({ filePath: "./testOutput.json" });
 
 ### Convert DataFrame/Series to JSON and download file in browser
 
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
 
 ```javascript
 let data = {
diff --git a/api-reference/dataframe/dataframe.values.md b/api-reference/dataframe/dataframe.values.md
index 6b7ea1d..598e395 100644
--- a/api-reference/dataframe/dataframe.values.md
+++ b/api-reference/dataframe/dataframe.values.md
@@ -8,9 +8,9 @@ danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/b
 
 **Returns:**
 
-**       **return** Array**
+&#x20;      ****       return **Array**
 
-**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.  
+**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame. &#x20;
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.concat.md b/api-reference/general-functions/danfo.concat.md
index 19c3d8e..e248f46 100644
--- a/api-reference/general-functions/danfo.concat.md
+++ b/api-reference/general-functions/danfo.concat.md
@@ -12,11 +12,11 @@ danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blo
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
-### **Concatenate two DataFrames along column axis (1) **
+### **Concatenate two DataFrames along column axis (1)**&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -66,7 +66,7 @@ com_df.print()
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two DataFrames along row axis (0) **
+### **Concatenate two DataFrames along row axis (0)**&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,7 +125,7 @@ com_df.print(10)
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two Series along row axis (0) **
+### **Concatenate two Series along row axis (0)**&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/general-functions/danfo.date_range.md b/api-reference/general-functions/danfo.date_range.md
index 32d18b8..9c4a337 100644
--- a/api-reference/general-functions/danfo.date_range.md
+++ b/api-reference/general-functions/danfo.date_range.md
@@ -2,9 +2,9 @@
 description: Return a fixed frequency Dates spread between start and end parameters.
 ---
 
-# danfo.date_range
+# danfo.date\_range
 
-danfo.**date_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 | Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
 | ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
@@ -12,7 +12,7 @@ danfo.**date_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index 793aa58..e53fd81 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -2,9 +2,9 @@
 description: Convert categorical variable into dummy/indicator variables.
 ---
 
-# danfo.get_dummies
+# danfo.get\_dummies
 
-danfo.**get_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**get\_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 | Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
 | ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
@@ -13,7 +13,7 @@ danfo.**get_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfoj
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.labelencoder.md b/api-reference/general-functions/danfo.labelencoder.md
index 12d57ee..b0745a8 100644
--- a/api-reference/general-functions/danfo.labelencoder.md
+++ b/api-reference/general-functions/danfo.labelencoder.md
@@ -4,11 +4,11 @@ description: Encode target labels with value between 0 and n_classes-1.
 
 # danfo.LabelEncoder
 
-class danfo.**LabelEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n_classes -1. This is mostly used as a preprocessing step before most machine learning tasks. 
+danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
 
-The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method. 
+The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.&#x20;
 
 ## **Examples**
 
@@ -137,4 +137,4 @@ LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
 {% endtab %}
 {% endtabs %}
 
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
+See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference/general-functions/danfo.merge.md b/api-reference/general-functions/danfo.merge.md
index 82a9a3d..0c4b760 100644
--- a/api-reference/general-functions/danfo.merge.md
+++ b/api-reference/general-functions/danfo.merge.md
@@ -14,7 +14,7 @@ danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob
 
 **Returns:**
 
-**       **return** DataFrame**
+&#x20;      ****       return **DataFrame**
 
 ## **Examples**
 
@@ -22,7 +22,7 @@ danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob
 
 danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
 
-For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
+For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user\_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
 
 ### **Merging by a single key found in both axis**
 
diff --git a/api-reference/general-functions/danfo.minmaxscaler.md b/api-reference/general-functions/danfo.minmaxscaler.md
index 06add63..d58af8b 100644
--- a/api-reference/general-functions/danfo.minmaxscaler.md
+++ b/api-reference/general-functions/danfo.minmaxscaler.md
@@ -4,13 +4,13 @@ description: Transform features by scaling each feature to a range of max and mi
 
 # danfo.MinMaxScaler
 
-class danfo.**MinMaxScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
 
 This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
 
-The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method. 
+The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.&#x20;
 
 ## **Examples**
 
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index fdb8d4a..81c913d 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
 
-danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
+danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
 
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.&#x20;
 
 ## **Examples**
 
@@ -145,4 +145,4 @@ new_sf.print()
 {% endtab %}
 {% endtabs %}
 
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
+See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 298d86e..89ce861 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -4,7 +4,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 # danfo.StandardScaler
 
-class danfo.**StandScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
 
 danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
@@ -12,7 +12,7 @@ danfo.js provides the StandardScaler class for the standardization of DataFrame
 
 where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
 
-The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method. 
+The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.&#x20;
 
 ## **Examples**
 
diff --git a/api-reference/groupby/groupby.agg.md b/api-reference/groupby/groupby.agg.md
index f9d6a5f..fae8802 100644
--- a/api-reference/groupby/groupby.agg.md
+++ b/api-reference/groupby/groupby.agg.md
@@ -10,7 +10,7 @@ description: Obtain data aggregate per groups for each column
 | ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
 | kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
 
-**Return: **DataFrame
+**Return:** DataFrame
 
 **Examples**
 
diff --git a/api-reference/groupby/groupby.max.md b/api-reference/groupby/groupby.max.md
index 6bebae5..43470f6 100644
--- a/api-reference/groupby/groupby.max.md
+++ b/api-reference/groupby/groupby.max.md
@@ -6,7 +6,7 @@ description: Obtain the maximum value of columns per groups
 
 > danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
 
-**Parameters: **None
+**Parameters:** None
 
 **Returns**: DataFrame
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 79644f3..a291533 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -4,20 +4,21 @@ description: >-
   reading of CSV files in chunks.
 ---
 
-# danfo.read_csv
+# danfo.read\_csv
 
-> danfo.**read_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
+> danfo.**read\_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
 
-| **Parameters** | Type                         | Description                                                                                                                                                                                                                  | Default                                                                                                           |
-| -------------- | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
-| _**source**_   | File object, File path, URL  | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path. </p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported. </p> |                                                                                                                   |
-| **configs**:   |  object, optional            | <p></p><p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>. </p><p><strong></strong></p>                                              | <p><strong>{</strong></p><p><strong>dynamicTyping: </strong>true,</p><p><strong>header: </strong>true</p><p>}</p> |
+|                |                             |                                                                                                                                                                                                                            |                                                                                                                   |
+| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
+| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                                                                           |
+| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                                                                   |
+| **configs**:   | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>dynamicTyping:</strong> true,</p><p><strong>header:</strong> true</p><p>}</p> |
 
 **Returns:**
 
-**     **_**Promise**_. Resolves to DataFrame
+\*\* \*\*_**Promise**_. Resolves to DataFrame
 
-The **read_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
+The **read\_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
 
 ### **Reading files from local disk**
 
@@ -42,7 +43,7 @@ dfd.read_csv("./user_names.csv") //assumes file is in CWD
 
 ### **Reading files from a URL**
 
-By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
+By specifying a valid URL, you can load CSV files from any location into Danfo\*\*'\*\*s data structure:
 
 {% tabs %}
 {% tab title="Node.js" %}
@@ -92,7 +93,6 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -129,7 +129,6 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 85412ea..3c17457 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -2,20 +2,21 @@
 description: Reads a JSON file into DataFrame.
 ---
 
-# danfo.read_json
+# danfo.read\_json
 
-> danfo.**read_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
+> danfo.**read\_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
 
-| **Parameters** | Type                                            | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                         |
-| -------------- | ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
-| _**source**_   | Input file object, string file** **path or URL  | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p></p><p>An input file object is also supported in the browser. </p>                                                                                                                                                                                                              |                                                 |
-| options        | Object                                          | <p>Configuration options for reading JSON files. Supported options:</p><p> {<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>} </p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
+|                |                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |                                                 |
+| -------------- | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
+| **Parameters** | Type                                               | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                | Default                                         |
+| _**source**_   | Input file object, string file\*\* \*\*path or URL | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p>An input file object is also supported in the browser.</p>                                                                                                                                                                                                                    |                                                 |
+| options        | Object                                             | <p>Configuration options for reading JSON files. Supported options:</p><p>{<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>}</p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
 
 **Returns:**
 
-**     **_**Promise**_. Resolves to DataFrame
+\*\* \*\*_**Promise**_. Resolves to DataFrame
 
-The **read_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
 ### **Reading JSON files from local disk**
 
@@ -85,7 +86,6 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -122,7 +122,6 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index 5bd4105..c3403cf 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -2,16 +2,17 @@
 description: Writes a DataFrame or Series to CSV format.
 ---
 
-# danfo.to_csv
+# danfo.to\_csv
 
-> danfo.**to_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+> danfo.**to\_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
 
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
-| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |                                                                                    |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                    |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
 
-The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
 ### Convert DataFrame to CSV string and return value
 
@@ -69,7 +70,6 @@ Abs,Count,country code
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -98,7 +98,7 @@ dfd.to_csv(df, { filePath: "testOut.csv"});
 
 ### Convert DataFrame to CSV string and download file in Client-side lib
 
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
 
 ```javascript
 const dfd = require("danfojs")
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 80eaa04..baac615 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -1,13 +1,14 @@
-# danfo.to_json
+# danfo.to\_json
 
-> danfo.**to_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+> danfo.**to\_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
 
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
-| -------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
+| -------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |                                                                 |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
 
-The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
 ### Convert DataFrame/Series to JSON and return value
 
@@ -80,12 +81,11 @@ console.log(jsonObj);
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame/Series to JSON  and write to file path
+### Convert DataFrame/Series to JSON and write to file path
 
 Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
 
@@ -109,7 +109,7 @@ dfd.to_json(df, { filePath: "./testOutput.json" });
 
 ### Convert DataFrame/Series to JSON and download file in browser
 
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
 
 ```javascript
 let data = {
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index aee82cd..6606bdc 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -8,7 +8,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 
 ## Examples
 
-The **bar** plot is exposed by the .**plot\(\)** function called on a Series or DataFrame. The **.plot\(\)** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter. 
+The **bar** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter.
 
 ### Bar plot on Series
 
@@ -36,10 +36,9 @@ The **bar** plot is exposed by the .**plot\(\)** function called on a Series or
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-6-.png)
+![](<../../.gitbook/assets/newplot (6).png>)
 
 ### Bar plot on DataFrame
 
@@ -67,12 +66,10 @@ The **bar** plot is exposed by the .**plot\(\)** function called on a Series or
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-7-.png)
+![](<../../.gitbook/assets/newplot (7).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/plotting/box-plots.md b/api-reference/plotting/box-plots.md
index 8a6e490..2adb60a 100644
--- a/api-reference/plotting/box-plots.md
+++ b/api-reference/plotting/box-plots.md
@@ -34,10 +34,9 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-23-.png)
+![](<../../.gitbook/assets/newplot (23).png>)
 
 ### Box plots on a DataFrame
 
@@ -72,10 +71,9 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am%20%281%29%20%281%29.png)
+![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
 
 ### Box plot for selected columns in a DataFrame
 
@@ -109,14 +107,10 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-24-.png)
-
-
+![](<../../.gitbook/assets/newplot (24).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/plotting/configuring-your-plots.md b/api-reference/plotting/configuring-your-plots.md
index 7d96b4d..4cedbb2 100644
--- a/api-reference/plotting/configuring-your-plots.md
+++ b/api-reference/plotting/configuring-your-plots.md
@@ -1,10 +1,10 @@
 # Configuring your plots
 
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
 
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name. 
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name.
 
-For example in the following code, we show how to set some basic configuration as well as layout for a line plot. 
+For example in the following code, we show how to set some basic configuration as well as layout for a line plot.
 
 ```markup
 <!doctype html>
@@ -65,5 +65,4 @@ For example in the following code, we show how to set some basic configuration a
 </html>
 ```
 
-![](../../.gitbook/assets/newplot-32-.png)
-
+![](<../../.gitbook/assets/newplot (32).png>)
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 12497e3..adabd84 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -1,5 +1,5 @@
 ---
-description: 'Draw one histogram of the DataFrame’s columns, or single histogram for Series'
+description: Draw one histogram of the DataFrame’s columns, or single histogram for Series
 ---
 
 # Histograms
@@ -42,10 +42,9 @@ In the example below, we use the titanic dataset, to show a close to a real-worl
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-10-.png)
+![](<../../.gitbook/assets/newplot (10).png>)
 
 ### Customized Histogram plots on DataFrame
 
@@ -89,14 +88,13 @@ In the example below, we use the titanic dataset, to show a close to a real-worl
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-20-.png)
+![](<../../.gitbook/assets/newplot (20).png>)
 
 ### Configuring your plots
 
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
 
 All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
 
@@ -117,4 +115,3 @@ df.plot("div_tag").histogram({layout: layout})
 {% hint style="info" %}
 For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
 {% endhint %}
-
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 73326f4..79fe4d3 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -10,7 +10,7 @@ description: >-
 
 ### Basic Line plot on Series
 
-The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
+The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.
 
 ```markup
 <!DOCTYPE html>
@@ -36,10 +36,9 @@ The **line** plot is exposed by the .**plot()** function called on a Series or D
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-4-.png)
+![](<../../.gitbook/assets/newplot (4).png>)
 
 ### Line plots on DataFrame
 
@@ -70,10 +69,9 @@ The example below shows the plot of column values against a common x-axis (index
 </body>
 
 </html>
-
 ```
 
-![](<../../.gitbook/assets/newplot-2- (1) (1) (2) (2).png>)
+![](<../../.gitbook/assets/newplot (2).png>)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
@@ -102,10 +100,9 @@ The example below shows how to plot two columns in a DataFrame against each othe
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-3-.png)
+![](<../../.gitbook/assets/newplot (3).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index c355bcb..6dce73d 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -39,10 +39,9 @@ A pie plot is a proportional representation of the numerical data in a column
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-12-.png)
+![](<../../.gitbook/assets/newplot (12).png>)
 
 ### Multiple Pie Chart from Columns in a DataFrame
 
@@ -76,14 +75,13 @@ A pie plot is a proportional representation of the numerical data in a column
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-21-.png)
+![](<../../.gitbook/assets/newplot (21).png>)
 
 ### Configure Position of Pie Charts
 
-If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie. 
+If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie.
 
 ```markup
 <!DOCTYPE html>
@@ -116,12 +114,10 @@ If you have more than one pie charts displayed, you can set the grid parameter,
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-22-.png)
+![](<../../.gitbook/assets/newplot (22).png>)
 
 {% hint style="info" %}
 For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
 {% endhint %}
-
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 739a49f..77649d1 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -4,7 +4,7 @@ description: Create a scatter plot of columns in a DataFrame
 
 # Scatter Plots
 
-The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables. 
+The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables.
 
 ## Examples
 
@@ -42,10 +42,9 @@ In the example below, we use the titanic dataset, to show a close to real-world
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-8-%20%281%29.png)
+![](<../../.gitbook/assets/newplot-8- (1) (1).png>)
 
 ### More Examples
 
@@ -80,12 +79,10 @@ In the example below, we use the titanic dataset, to show a close to real-world
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-19-.png)
+![](<../../.gitbook/assets/newplot (19).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/plotting/tables.md b/api-reference/plotting/tables.md
index efa1fbb..c67f0e2 100644
--- a/api-reference/plotting/tables.md
+++ b/api-reference/plotting/tables.md
@@ -43,11 +43,11 @@ description: Turn DataFrame/Series in D3.js-based tables
 </html>
 ```
 
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png)
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
 
 ### Configure the header and cell of a table
 
-To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass. 
+To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass.
 
 ```markup
 <!DOCTYPE html>
@@ -90,8 +90,6 @@ To configure the header and cell of a table, you can pass header/cell styles to
 
 </html>
 
-
 ```
 
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png)
-
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index e0c1c8f..a3e6c11 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -30,10 +30,9 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-25-.png)
+![](<../../.gitbook/assets/newplot (25).png>)
 
 ### Box plots on a DataFrame
 
@@ -68,10 +67,9 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-26-.png)
+![](<../../.gitbook/assets/newplot (26).png>)
 
 ### Box plot for selected columns in a DataFrame
 
@@ -105,12 +103,10 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 </body>
 
 </html>
-
 ```
 
-![](../../.gitbook/assets/newplot-27-.png)
+![](<../../.gitbook/assets/newplot (27).png>)
 
 {% hint style="info" %}
 To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
-
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index 7eefaa7..421bc63 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -4,7 +4,7 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 # Series
 
-> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ],** index: **\[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
+> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ], **index:** \[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
 
 ### Attributes
 
@@ -77,17 +77,17 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
 | [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
 | [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
-| [`Series.value_counts`](series.value_counts.md)             | Return a Series containing counts of unique values.              |
+| [`Series.value_counts`](series.value\_counts.md)            | Return a Series containing counts of unique values.              |
 
 ### Reindexing / selection / label manipulation
 
-|                                                       |                                                          |
-| ----------------------------------------------------- | -------------------------------------------------------- |
-| [`Series.drop_duplicates`](series.drop_duplicates.md) | Return Series with duplicate values removed.             |
-| [`Series.head`](series.head.md)                       | Return the first n rows.                                 |
-| [`Series.reset_index`](series.reset_index.md)         | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md)                   | Return a random sample of items from an axis of object.  |
-| [`Series.tail`](series.tail.md)                       | Return the last n rows.                                  |
+|                                                        |                                                          |
+| ------------------------------------------------------ | -------------------------------------------------------- |
+| [`Series.drop_duplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
+| [`Series.head`](series.head.md)                        | Return the first n rows.                                 |
+| [`Series.reset_index`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
+| [`Series.sample`](series.sample.md)                    | Return a random sample of items from an axis of object.  |
+| [`Series.tail`](series.tail.md)                        | Return the last n rows.                                  |
 
 ### Missing data handling
 
@@ -96,15 +96,15 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
 | [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
 | [`Series.isna`](series.isna.md)       | Detect missing values.                           |
-| [`Series.replace`](series.replace.md) | Replace values given in to_replace with value.   |
+| [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value.  |
 
 ### Reshaping, sorting
 
-| [`Series.argsort`](series.argsort.md)         | Return the integer indices that would sort the Series values. |
-| --------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.argmin`](series.argmin.md)           | Return int position of the smallest value in the Series.      |
-| [`Series.argmax`](series.argmax.md)           | Return int position of the largest value in the Series.       |
-| [`Series.sort_values`](series.sort_values.md) | Sort by the values.                                           |
+| [`Series.argsort`](series.argsort.md)          | Return the integer indices that would sort the Series values. |
+| ---------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.argmin`](series.argmin.md)            | Return int position of the smallest value in the Series.      |
+| [`Series.argmax`](series.argmax.md)            | Return int position of the largest value in the Series.       |
+| [`Series.sort_values`](series.sort\_values.md) | Sort by the values.                                           |
 
 ### Accessors
 
@@ -121,16 +121,16 @@ Danfo provides dtype-specific methods under various accessors. These are separat
 
 **Datetime methods**
 
-|                                                   |                                                                    |
-| ------------------------------------------------- | ------------------------------------------------------------------ |
-| [`Series.dt.year`](series.dt.year.md)             | The year of the datetime.                                          |
-| [`Series.dt.month`](series.dt.month.md)           | The month as January=1, December=12.                               |
-| [`Series.dt.day`](series.dt.day.md)               | The day of the datetime.                                           |
-| [`Series.dt.hour`](series.dt.hour.md)             | The hours of the datetime.                                         |
-| [`Series.dt.minute`](series.dt.minute.md)         | The minutes of the datetime.                                       |
-| [`Series.dt.second`](series.dt.second.md)         | The seconds of the datetime.                                       |
-| [`Series.dt.weekdays`](series.dt.weekdays.md)     | The day of the week with Monday=0, Sunday=6.                       |
-| [`Series.dt.month_name`](series.dt.month_name.md) | Return the month names of the DateTimeIndex with specified locale. |
+|                                                    |                                                                    |
+| -------------------------------------------------- | ------------------------------------------------------------------ |
+| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                          |
+| [`Series.dt.month`](series.dt.month.md)            | The month as January=1, December=12.                               |
+| [`Series.dt.day`](series.dt.day.md)                | The day of the datetime.                                           |
+| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                         |
+| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                       |
+| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                       |
+| [`Series.dt.weekdays`](series.dt.weekdays.md)      | The day of the week with Monday=0, Sunday=6.                       |
+| [`Series.dt.month_name`](series.dt.month\_name.md) | Return the month names of the DateTimeIndex with specified locale. |
 
 #### String handling
 
@@ -176,7 +176,7 @@ Danfo provides dtype-specific methods under various accessors. These are separat
 
 ### Serialization / IO / conversion
 
-|                                                       |                                                      |
-| ----------------------------------------------------- | ---------------------------------------------------- |
-| [`Series.to_csv`](../dataframe/dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`Series.to_json`](../dataframe/dataframe.to_json.md) | Convert the object to a JSON string.                 |
+|                                                        |                                                      |
+| ------------------------------------------------------ | ---------------------------------------------------- |
+| [`Series.to_csv`](../dataframe/dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`Series.to_json`](../dataframe/dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index 3c9f46a..843dd5e 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -10,7 +10,7 @@ description: Returns the absolute value in a Series
 | ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
 | options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 **Example**
 
diff --git a/api-reference/series/series.append.md b/api-reference/series/series.append.md
index 9c84620..53e8f03 100644
--- a/api-reference/series/series.append.md
+++ b/api-reference/series/series.append.md
@@ -14,7 +14,7 @@ danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ****
 
diff --git a/api-reference/series/series.apply.md b/api-reference/series/series.apply.md
index d5feb72..7f7050e 100644
--- a/api-reference/series/series.apply.md
+++ b/api-reference/series/series.apply.md
@@ -13,7 +13,7 @@ description: Invoke a function on each value in a Series.
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ****
 
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index 443935e..b4608a4 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -10,7 +10,7 @@ description: Return the integer indices that would sort the Series values
 | ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
 | options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
 
-**Returns: ** Series (int element)
+**Returns:** Series (int element)
 
 **Example**
 
diff --git a/api-reference/series/series.describe.md b/api-reference/series/series.describe.md
index f532bac..ce52246 100644
--- a/api-reference/series/series.describe.md
+++ b/api-reference/series/series.describe.md
@@ -9,7 +9,7 @@ description: >-
 
 > danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
 
-**Parameters: **No parameter
+**Parameters:** No parameter
 
 **return:** Series
 
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index c169043..08edf09 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -2,15 +2,15 @@
 description: Remove duplicate rows
 ---
 
-# Series.drop_duplicates
+# Series.drop\_duplicates
 
-> danfo.Series.**drop_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
+> danfo.Series.**drop\_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
 
 | Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
 | ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
 | options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index d3722c4..6461fa5 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -8,7 +8,7 @@ description: Obtain the numerical representation of the week day.
 
 **Parameters**: None
 
-**Returns: **Series (int elements)
+**Returns:** Series (int elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 9656aff..16369bb 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -6,9 +6,9 @@ description: Obtain the hours in a time series
 
 > danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
 
-**Parameters: **None
+**Parameters:** None
 
-**Returns: **Series (int elements)
+**Returns:** Series (int elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.minute.md b/api-reference/series/series.dt.minute.md
index 97baa73..ea8bfee 100644
--- a/api-reference/series/series.dt.minute.md
+++ b/api-reference/series/series.dt.minute.md
@@ -8,7 +8,7 @@ description: Obtain the minutes in a Time Series
 
 **Parameters**: None
 
-**Returns: **Series (int Elements)
+**Returns:** Series (int Elements)
 
 **Example**
 
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index 09841bc..e21eeda 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -8,7 +8,7 @@ description: Obtain the month in a date time series
 
 **Parameters**: None
 
-**Returns: **Series (int elements)
+**Returns:** Series (int elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index 2deb259..4e83618 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -2,13 +2,13 @@
 description: obtain the month name in a Time Series
 ---
 
-# Series.dt.month_name
+# Series.dt.month\_name
 
-> danfo.Series.dt.month_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
+> danfo.Series.dt.month\_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
 
 **Parameters**: None
 
-**Returns: **Series (String elements)
+**Returns:** Series (String elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index 70026a5..b385f17 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -6,7 +6,7 @@ description: Obtain the day of the month
 
 > danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
 
-**Parameters: **None
+**Parameters:** None
 
 **Returns**: Series (Int elements)
 
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index 68d63b3..43330be 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -8,7 +8,7 @@ description: Obtain the seconds in Date series
 
 **Parameters**: None
 
-**Returns: **Series (Int elements)
+**Returns:** Series (Int elements)
 
 **Example**
 
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index 101bd50..04dbe18 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -8,7 +8,7 @@ description: Obtain the days of the weeks
 
 **Parameters**: None
 
-**Returns: **Series (String elements)
+**Returns:** Series (String elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index db495d9..ed1117f 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -8,7 +8,7 @@ description: Obtain the year in a date time series
 
 **Parameters**: None
 
-**Returns: **Series (int elements)
+**Returns:** Series (int elements)
 
 **Examples**
 
diff --git a/api-reference/series/series.dtype.md b/api-reference/series/series.dtype.md
index c4634cb..75b4614 100644
--- a/api-reference/series/series.dtype.md
+++ b/api-reference/series/series.dtype.md
@@ -8,7 +8,7 @@ description: Obtain the dtype of a series
 
 **Parameters**: None
 
-**Returns: **String
+**Returns:** String
 
 **Example**
 
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index ec83ef9..0fb1aeb 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -10,7 +10,7 @@ description: Check if all the values in a series is greater than or equal a valu
 | ---------- | ----------------------- | ------------------- | ------- |
 | other      | Series, Array or number | value(s) to compare |         |
 
-**Returns: **Series (Boolean element)
+**Returns:** Series (Boolean element)
 
 **Example**
 
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index ab578cf..ab7d1f3 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -8,7 +8,7 @@ danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
@@ -21,7 +21,7 @@ Allowed inputs are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note: **only** **the start label is included, and the end label is ignored. _
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -61,7 +61,7 @@ s.iloc([0,5]).print()
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4. 
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -99,7 +99,7 @@ s.iloc(["0:5"]).print()
 {% endtab %}
 {% endtabs %}
 
-By specifying a start index in a slice, all values after that index are returned. 
+By specifying a start index in a slice, all values after that index are returned.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -133,7 +133,7 @@ s.iloc(["5:"]).print()
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition 
+### Slice Series by boolean condition&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index 4571b72..44006e2 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -10,7 +10,7 @@ description: Check if all the values in a series is less than or equal to a valu
 | ---------- | ----------------------- | ------------------- | ------- |
 | other      | Series, Array or number | value(s) to compare |         |
 
-**Returns: **Series (Boolean Element)
+**Returns:** Series (Boolean Element)
 
 **Example**
 
diff --git a/api-reference/series/series.loc.md b/api-reference/series/series.loc.md
index aa36e72..13772ab 100644
--- a/api-reference/series/series.loc.md
+++ b/api-reference/series/series.loc.md
@@ -12,7 +12,7 @@ danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/
 
 **Returns:**
 
-**       **return** Series**
+&#x20;      ****       return **Series**
 
 ## **Examples**
 
@@ -25,7 +25,7 @@ Allowed inputs are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
-_**Note: **only** **the start label is included, and the end label is ignored. _
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
 
 `.loc` will raise a `ValueEror` if a requested label is not found.
 
@@ -85,7 +85,7 @@ s.loc(["a", "g"]).print()
 
 ### **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -132,7 +132,7 @@ For the slice above to work, you must quote each slice, e.g:\
 _**Inner quotes are not needed for numeric indices!**_
 {% endhint %}
 
-### By specifying a start index in a slice, all values after that index are returned. 
+### By specifying a start index in a slice, all values after that index are returned.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
@@ -173,7 +173,7 @@ s.loc([`1:`]).print()
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition 
+### Slice Series by boolean condition&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.ndim.md b/api-reference/series/series.ndim.md
index 8258e46..8623e80 100644
--- a/api-reference/series/series.ndim.md
+++ b/api-reference/series/series.ndim.md
@@ -6,9 +6,9 @@ description: Obtain the dimension of a series
 
 > danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
 
-**Parameters: **None
+**Parameters:** None
 
-**Returns: **int
+**Returns:** int
 
 **Example**
 
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 1adfe98..092a2eb 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -8,7 +8,7 @@ description: Returns the number of unique values in a series
 
 **Parameters**: None
 
-**Returns: **int
+**Returns:** int
 
 **Example**
 
diff --git a/api-reference/series/series.reset_index.md b/api-reference/series/series.reset_index.md
index 7ff93af..c51497a 100644
--- a/api-reference/series/series.reset_index.md
+++ b/api-reference/series/series.reset_index.md
@@ -2,15 +2,15 @@
 description: Reset the index of a series.
 ---
 
-# Series.reset_index
+# Series.reset\_index
 
-> danfo.series.reset_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
+> danfo.series.reset\_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
 
 | Parameters | Type   | Description                                                                                         | Default          |
 | ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object |  **inplace: **Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
+| options    | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
 
-**Returns : **Series
+**Returns :** Series
 
 `reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
 
diff --git a/api-reference/series/series.round.md b/api-reference/series/series.round.md
index 7b7ed7c..b6f0d82 100644
--- a/api-reference/series/series.round.md
+++ b/api-reference/series/series.round.md
@@ -11,7 +11,7 @@ description: round off floating values in series
 | dp         | int    | decimal place to round off to                                                                  |                                       |
 | options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 **Example**
 
diff --git a/api-reference/series/series.sample.md b/api-reference/series/series.sample.md
index 762e635..a28298d 100644
--- a/api-reference/series/series.sample.md
+++ b/api-reference/series/series.sample.md
@@ -13,7 +13,7 @@ description: Return a random sample of items from an axis of object.
 
 **Returns:**
 
-**       **return** {Promies} resolves to Series**
+&#x20;      ****       return **{Promies} resolves to Series**
 
 **Example**
 
diff --git a/api-reference/series/series.set_index.md b/api-reference/series/series.set_index.md
index 0b9cad9..3de352f 100644
--- a/api-reference/series/series.set_index.md
+++ b/api-reference/series/series.set_index.md
@@ -2,16 +2,16 @@
 description: Assign new Index to Series
 ---
 
-# Series.set_index
+# Series.set\_index
 
-> danfo.series.**set_index(**options**) **\[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
+> danfo.series.**set\_index(**options**)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
 
 | Parameter | Type   | Description                                                                                    | Default                               |
 | --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
 | index     | Array  | new index values                                                                               |                                       |
 | options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 **Example**
 
diff --git a/api-reference/series/series.std.md b/api-reference/series/series.std.md
index 8d83e32..aa05018 100644
--- a/api-reference/series/series.std.md
+++ b/api-reference/series/series.std.md
@@ -4,7 +4,7 @@ description: Obtain the standard deviation for a series
 
 # Series.std
 
-> danfo.Series.std\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)\]
+> danfo.Series.std()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)]
 
 **Parameter:** None
 
@@ -27,13 +27,11 @@ console.log(sf1.std())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 31.11671576500322
 ```
 {% endtab %}
 {% endtabs %}
 
- ****
-
-
+&#x20;****&#x20;
 
diff --git a/api-reference/series/series.str.concat.md b/api-reference/series/series.str.concat.md
index 2fa49d4..e3abe54 100644
--- a/api-reference/series/series.str.concat.md
+++ b/api-reference/series/series.str.concat.md
@@ -9,10 +9,10 @@ description: Joins two or more strings/arrays
 | Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
 | ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
 | other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
-| position   | Int             | The position to add the **other **(string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
+| position   | Int             | The position to add the **other** (string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
 | options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns: **Series (String element)
+**Returns:** Series (String element)
 
 **Examples**
 
diff --git a/api-reference/series/series.str.indexof.md b/api-reference/series/series.str.indexof.md
index 8328d8b..1d9e64f 100644
--- a/api-reference/series/series.str.indexof.md
+++ b/api-reference/series/series.str.indexof.md
@@ -11,7 +11,7 @@ description: the position of the first found occurrence of a specified value in
 | str        | string | the string to obtain its index                                  | ""                                                     |
 | options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 **Example**
 
diff --git a/api-reference/series/series.str.join.md b/api-reference/series/series.str.join.md
index 386da02..5bb77fe 100644
--- a/api-reference/series/series.str.join.md
+++ b/api-reference/series/series.str.join.md
@@ -14,7 +14,7 @@ description: Join a new string value to all string elements in a Series.
 
 **Returns:**
 
-**   **return **Series**
+&#x20;  ****   return **Series**
 
 **Examples**
 
diff --git a/api-reference/series/series.str.repeat.md b/api-reference/series/series.str.repeat.md
index 76f9073..703be26 100644
--- a/api-reference/series/series.str.repeat.md
+++ b/api-reference/series/series.str.repeat.md
@@ -11,7 +11,7 @@ description: Repeat the the character(s) in a string for a specified number of t
 | num        | integer | the string to search for                                        | 1                                                      |
 | options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:  **Series
+**Returns:**  Series
 
 **Example**
 
diff --git a/api-reference/series/series.str.replace.md b/api-reference/series/series.str.replace.md
index da02575..2b06b1f 100644
--- a/api-reference/series/series.str.replace.md
+++ b/api-reference/series/series.str.replace.md
@@ -4,7 +4,7 @@ description: Replace a word or character(s) in a String element
 
 # Series.str.replace
 
-> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]    
+> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]   &#x20;
 
 | Parameters   | Type   | Description                                                     | Default                                                |
 | ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
@@ -12,7 +12,7 @@ description: Replace a word or character(s) in a String element
 | replaceValue | String | string to replace the searched string                           | ""                                                     |
 | options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns: **Series
+**Returns:** Series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.str.search.md b/api-reference/series/series.str.search.md
index 9dc48e0..99fc428 100644
--- a/api-reference/series/series.str.search.md
+++ b/api-reference/series/series.str.search.md
@@ -15,7 +15,7 @@ description: Obtain the index position of a searched  character in a String
 
 **Returns:**
 
-**     **return Series: Series of index position
+&#x20;    ****     return Series: Series of index position
 
 **Example**
 
diff --git a/api-reference/series/series.str.slice.md b/api-reference/series/series.str.slice.md
index a807a36..cef7a86 100644
--- a/api-reference/series/series.str.slice.md
+++ b/api-reference/series/series.str.slice.md
@@ -14,7 +14,7 @@ description: Obtain the substring of each element in a series
 
 **Returns:**
 
-**  **return Series.
+&#x20; ****  return Series.
 
 **Example**
 
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 8ba84b6..006795d 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -15,7 +15,7 @@ description: >-
 
 **Returns**
 
-                      return **Series**
+&#x20;                     return **Series**
 
 **Examples**
 
@@ -38,7 +38,7 @@ console.log(sf.str.split().values)
 {% endtab %}
 {% endtabs %}
 
-**OUTPUT:     **`[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
+**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
 
 {% tabs %}
 {% tab title="JavaScript" %}
diff --git a/api-reference/series/series.str.startswith.md b/api-reference/series/series.str.startswith.md
index 6290122..835809e 100644
--- a/api-reference/series/series.str.startswith.md
+++ b/api-reference/series/series.str.startswith.md
@@ -11,7 +11,7 @@ description: Test whether a string begins with specified characters
 | str        | string | the character(s) to check                                       | ""                                                     |
 | options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
-**Returns:  **Series (Boolean element)
+**Returns:**  Series (Boolean element)
 
 **Examples**
 
diff --git a/api-reference/series/series.str.substr.md b/api-reference/series/series.str.substr.md
index bb58cfd..0a391bb 100644
--- a/api-reference/series/series.str.substr.md
+++ b/api-reference/series/series.str.substr.md
@@ -16,7 +16,7 @@ description: >-
 
 **Returns:**
 
-**      **return Series
+&#x20;     ****      return Series
 
 **Example**
 
diff --git a/api-reference/series/series.str.substring.md b/api-reference/series/series.str.substring.md
index 39bd460..b54702e 100644
--- a/api-reference/series/series.str.substring.md
+++ b/api-reference/series/series.str.substring.md
@@ -14,7 +14,7 @@ description: Obtain the substring of each element in a series
 
 **Returns**
 
-**     **return **Series**
+&#x20;    ****     return **Series**
 
 **Example**
 
diff --git a/api-reference/series/series.str.trim.md b/api-reference/series/series.str.trim.md
index c5df92a..58b7b16 100644
--- a/api-reference/series/series.str.trim.md
+++ b/api-reference/series/series.str.trim.md
@@ -12,7 +12,7 @@ description: Remove leading and trailing Whitespace from a String element
 
 **Returns:**
 
-**         **return Series
+&#x20;        ****         return Series
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.value_counts.md b/api-reference/series/series.value_counts.md
index e8d0ad7..338064f 100644
--- a/api-reference/series/series.value_counts.md
+++ b/api-reference/series/series.value_counts.md
@@ -2,13 +2,13 @@
 description: Count the number of occurrence for each element in a Series
 ---
 
-# Series.value_counts
+# Series.value\_counts
 
-> danfo.Series.value_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+> danfo.Series.value\_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
 
-**Parameters: **None
+**Parameters:** None
 
-**Returns: **Series (int element)
+**Returns:** Series (int element)
 
 **Example**
 
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index 0bfd0a3..cf3e174 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -1,6 +1,6 @@
 # Building Data Driven Applications with Danfo.js - Book
 
-## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo _ code before  31st December 2020 and get 25% discount. 
+## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo_ code before  31st December 2020 and get 25% discount.&#x20;
 
 ## What this book is about
 
@@ -8,7 +8,7 @@ The book then shows you how to load different datasets, combine and analyze them
 
 By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
 
-![Danfo.js book cover](.gitbook/assets/b17076\_cover.jpg)
+![Danfo.js book cover](.gitbook/assets/B17076\_Cover.jpg)
 
 ## **What you will learn**
 
diff --git a/contributing-guide.md b/contributing-guide.md
index 05d635b..4fedc98 100644
--- a/contributing-guide.md
+++ b/contributing-guide.md
@@ -29,9 +29,9 @@ description: >-
 
 ## TL:DR
 
-All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome. 
+All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.&#x20;
 
-For contributors familiar with open-source,  below is a quick guide to setting up danfojs locally.  
+For contributors familiar with open-source,  below is a quick guide to setting up danfojs locally. &#x20;
 
 ```
 git clone https://github.com/opensource9ja/danfojs.git
@@ -39,7 +39,7 @@ cd danfojs
 git checkout -b <your-branch-name>
 ```
 
-There are two folders, **danfojs-browser** and **danfojs-node**. If you are contributing a new feature, then you should include it in both versions. If you are doing a bug fix for a single version, then open that folder and install packages. 
+There are two folders, **danfojs-browser** and **danfojs-node**. If you are contributing a new feature, then you should include it in both versions. If you are doing a bug fix for a single version, then open that folder and install packages.&#x20;
 
 For instance, if I want to do some bug fixes in danfojs-node. I can do the following:
 
@@ -87,11 +87,11 @@ cd danfojs
 
 This creates the directory danfojs and connects your repository to the upstream (main project) repository.
 
-> **All development are done in two folders--**[**danfojs-browser**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-browser)** and **[**danfojs-node**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-node)** folders. The two folders are similar and it is always recommended to pull latest changes from master before development in any of the folder. **
+> **All development are done in two folders--**[**danfojs-browser**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-browser) **and** [**danfojs-node**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-node) **folders. The two folders are similar and it is always recommended to pull latest changes from master before development in any of the folder.**&#x20;
 
-Some Javascript features are supported both in the browser and node environment, and it is recommended to add these to both versions. 
+Some Javascript features are supported both in the browser and node environment, and it is recommended to add these to both versions.&#x20;
 
-For features that work only in NodeJs environment, especially file related issues, these should be developed and tested in the danfojs-node folder, and the corresponding tests are written there.   
+For features that work only in NodeJs environment, especially file related issues, these should be developed and tested in the danfojs-node folder, and the corresponding tests are written there.  &#x20;
 
 ## **Creating a development environment**
 
@@ -205,7 +205,7 @@ describe("Name of the class|module", function(){
 });
 ```
 
-**Example**: Let write a test, to test if the values in a dataframe are off a certain length. Assuming the method to obtain length is values_len()
+**Example**: Let write a test, to test if the values in a dataframe are off a certain length. Assuming the method to obtain length is values\_len()
 
 ```javascript
 import { assert } from "chai"
@@ -236,7 +236,7 @@ describe("DataFrame", function(){
 
 To run the test for the module you created,
 
-**1)** Open the package.json 
+**1)** Open the package.json&#x20;
 
 **2)** change the name of the test file to the file name you want. and don't forget the file is in the test folder
 
@@ -245,7 +245,7 @@ To run the test for the module you created,
     "test": "....... danfojs/tests/sub_directory_name/filename",
 ```
 
-**3)  **run the test, in the danfojs directory terminal
+**3)**  run the test, in the danfojs directory terminal
 
 ```python
 yarn test
@@ -300,29 +300,29 @@ This request then goes to the repository maintainers, and they will review the c
 
 In other to contribute to the code base of danfojs, there are some functions and properties provided to make implementation easy.
 
-The main exposed modules are the **Frame** and **Series** module. This module inherits from the **Generic **module.
+The main exposed modules are the **Frame** and **Series** module. This module inherits from the **Generic** module.
 
 The **Generic** module consists of the following methods and properties
 
 * `.dtypes`    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L213)] is used to obtain the dtype for each column
 * `.index` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L250)] to obtain the index for Dataframe or Series
-* `.__set_index(label) `  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L257)] to set the index value
+* `.__set_index(label)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L257)] to set the index value
 * `.__reset_index()`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L271)] to reset the index in DataFrame and Series
-* `.values `   Obtain the values in  DataFrame and Series per rows
+* `.values`   Obtain the values in  DataFrame and Series per rows
 * `.col_data` Obtain the values in DataFrame and Series per columns
 * `.column_names`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)] Obtain the list of column names
 * `.__set_col_types` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L165)] set the dtype for a column or infer the dtype from it
 * `.columns` to  access the column names directly
 * `row_data_tensor`  store the tensor representation of the data in DataFrame and Series
 
-The **Frame **module consists of the following methods and properties to aid implementation.
+The **Frame** module consists of the following methods and properties to aid implementation.
 
 * `__frame_is_compactible_for_operation`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1754)]:  check if all the values in a DataFrame are numerical. This helps to check if the numerical operation can be done using the dataframe.
 * `.__get_ops_tensors(tensors, axis)`   \[[source\]](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1767) : obtain tensors from dataframes along axis 0 or 1.
-* `.__get_df_from_tensor(val, col_names) `  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1741)]:  Obtain dataframe from tensor.
+* `.__get_df_from_tensor(val, col_names)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1741)]:  Obtain dataframe from tensor.
 * `.__get_tensor_and_idx(df, axis)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L928)]:  Obtain tensors, their index value and their axis from dataframe.
 
-The **Series **module contains mostly Generic properties and less special internal properties.
+The **Series** module contains mostly Generic properties and less special internal properties.
 
 * `__check_series_op_compactibility(other)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L666)]  check if two series are compatible for numerical operation
 
diff --git a/examples/using-danfojs-in-react.md b/examples/using-danfojs-in-react.md
index b11ca0c..3f97b10 100644
--- a/examples/using-danfojs-in-react.md
+++ b/examples/using-danfojs-in-react.md
@@ -1,10 +1,10 @@
 # Using Danfojs in React
 
-**TL:DR **See Example react application using danfojs [here](https://github.com/opensource9ja/Data-aRT)
+**TL:DR** See Example react application using danfojs [here](https://github.com/opensource9ja/Data-aRT)
 
-Danfojs works for both browser and NodeJs environment, and as such is available to frontend frameworks like React and Vue. 
+Danfojs works for both browser and NodeJs environment, and as such is available to frontend frameworks like React and Vue.&#x20;
 
-In order to use Danfojs in a library like React, you must install the [browser side version ](https://www.npmjs.com/package/danfojs)from npm. 
+In order to use Danfojs in a library like React, you must install the [browser side version ](https://www.npmjs.com/package/danfojs)from npm.&#x20;
 
 ```bash
 npm install danfojs
@@ -58,7 +58,7 @@ export default App;
 
 On running the app, we get the following output in the console:
 
-![](../.gitbook/assets/screen-shot-2021-02-14-at-7.22.16-pm.png)
+![](<../.gitbook/assets/Screen Shot 2021-02-14 at 7.22.16 PM.png>)
 
 Note that you can also import specific modules. For instance, in the code below we import only the DataFrame module:
 
@@ -66,4 +66,4 @@ Note that you can also import specific modules. For instance, in the code below
 import { DataFrame } from "danfojs/src/index";
 ```
 
-Following these steps, you can use danfojs in any client-side library. 
+Following these steps, you can use danfojs in any client-side library.&#x20;
diff --git a/getting-started.md b/getting-started.md
index 438fddd..9388ab0 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -42,7 +42,7 @@ To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://d
 
 ## 10 minutes to danfo.js
 
-This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/10min.html#min)
+This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user\_guide/10min.html#min)
 
 We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
 
@@ -392,7 +392,7 @@ df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The columns of the resulting [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) have different [dtypes](https://pandas.pydata.org/pandas-docs/stable/user_guide/basics.html#basics-dtypes).
+The columns of the resulting [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) have different [dtypes](https://pandas.pydata.org/pandas-docs/stable/user\_guide/basics.html#basics-dtypes).
 
 ```javascript
 df.ctypes.print()
@@ -578,9 +578,9 @@ console.log(df.columns);
 [ 'A', 'B', 'C', 'D', 'E' ]
 ```
 
-[`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_numpy.html#pandas.DataFrame.to_numpy) returns a Tensorflow tensor representation of the underlying data. Note that **Tensorflow tensors have one dtype for the entire array, while danfo DataFrames have one dtype per column**.
+[`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to\_numpy.html#pandas.DataFrame.to\_numpy) returns a Tensorflow tensor representation of the underlying data. Note that **Tensorflow tensors have one dtype for the entire array, while danfo DataFrames have one dtype per column**.
 
-For `df`, our [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) of all floating-point values, [`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_numpy.html#pandas.DataFrame.to_numpy)is fast and doesn’t require copying data.
+For `df`, our [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) of all floating-point values, [`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to\_numpy.html#pandas.DataFrame.to\_numpy)is fast and doesn’t require copying data.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -660,7 +660,7 @@ Tensor
 
 **Note**
 
-[`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_numpy.html#pandas.DataFrame.to_numpy) does _not_ include the index or column labels in the output.
+[`DataFrame.tensor`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to\_numpy.html#pandas.DataFrame.to\_numpy) does _not_ include the index or column labels in the output.
 
 [`describe()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.describe.html#pandas.DataFrame.describe) shows a quick statistic summary of your data:
 
@@ -1130,7 +1130,7 @@ sub_df.print()
 
 #### Selection with Boolean Mask
 
-You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10. 
+You can select subsections from a DataFrame by a booelan condition mask. E.g. In the following code, we select and return only rows where the column `Count` is greater than 10.
 
 ```javascript
 let data = {
@@ -1156,7 +1156,7 @@ sub_df.print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`. 
+A Boolean mask for filtering also works for multiple conditions using `and` & `or` functions. E.g, In the following code, we select and return only rows where the column `Count` is greater than 10 and column `Name` is equal to `Apples`.
 
 ```javascript
 let sub_df = df.iloc({
@@ -1296,7 +1296,6 @@ query_df.print() //after query
 ║ 0          │ Ng                │ 34                │ 20                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 
 #### Adding a new column
@@ -1391,7 +1390,7 @@ df.print()
 
 ### Missing data
 
- **NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js. 
+**NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js.
 
 To drop any rows that have missing data:
 
@@ -1513,7 +1512,6 @@ df_drop.print()
 ╟────────────┼───────────────────╢
 ║ 3          │ 78                ║
 ╚════════════╧═══════════════════╝
-
 ```
 
 Filling missing data:
@@ -1802,7 +1800,7 @@ df_new.print()
 
 Applying Element wise operations to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise. 
+You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1975,7 +1973,7 @@ com_df.print()
 
 #### Join
 
-SQL style merges. See the Pandas [Database style joining](https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#merging-join) section for more info.
+SQL style merges. See the Pandas [Database style joining](https://pandas.pydata.org/pandas-docs/stable/user\_guide/merging.html#merging-join) section for more info.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -2333,9 +2331,9 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 #### CSV
 
-[Writing to a  CSV file.](api-reference/dataframe/dataframe.to_csv.md)
+[Writing to a CSV file.](api-reference/dataframe/dataframe.to\_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string. 
+Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -2362,7 +2360,6 @@ df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
 
 df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
-
 ```
 
 ```
@@ -2372,9 +2369,9 @@ Abs,Count,country code
 47.3,5,GH
 ```
 
-[Reading from a CSV file.](https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#io-read-csv-table)
+[Reading from a CSV file.](https://pandas.pydata.org/pandas-docs/stable/user\_guide/io.html#io-read-csv-table)
 
-The **read_csv** method can read CSV file from local disk, or over the internet. If the file is to be read from a local disk in Node environment, you have to prefix the full path name with a "**file://**" prefix. For instance, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
+The **read\_csv** method can read CSV file from local disk, or over the internet. If the file is to be read from a local disk in Node environment, you have to prefix the full path name with a "**file://**" prefix. For instance, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
 
 {% tabs %}
 {% tab title="JavaScript" %}
@@ -2429,7 +2426,7 @@ dfd.read_csv("file:///home/Desktop/titanic.csv")
 
 #### JSON
 
-Writing to [JSON](api-reference/dataframe/dataframe.to_json.md) format
+Writing to [JSON](api-reference/dataframe/dataframe.to\_json.md) format
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -2461,5 +2458,4 @@ console.log(json);
   Count: [ 34, 4, 5 ],
   'country code': [ 'NG', 'FR', 'GH' ]
 }
-
 ```

From 3c4ff683ce05c67bfc0081f49aac1d92db16d1ce Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 2 Jan 2022 21:14:35 +0100
Subject: [PATCH 156/202] clean up

---
 api-reference-v1-stable/README.md             |  54 ---
 .../configuration-options.md                  | 128 -----
 api-reference-v1-stable/dataframe/README.md   | 145 ------
 .../dataframe/creating-a-dataframe.md         | 355 --------------
 .../dataframe/danfo.dataframe.abs.md          |  74 ---
 .../dataframe/danfo.dataframe.add.md          | 246 ----------
 .../dataframe/danfo.dataframe.addcolumn.md    | 118 -----
 .../dataframe/danfo.dataframe.apply.md        | 106 ----
 .../dataframe/danfo.dataframe.column.md       |  72 ---
 .../dataframe/danfo.dataframe.copy.md         |  53 --
 .../dataframe/danfo.dataframe.count.md        | 100 ----
 .../dataframe/danfo.dataframe.cummax.md       |  99 ----
 .../dataframe/danfo.dataframe.cummin.md       |  99 ----
 .../dataframe/danfo.dataframe.cumprod.md      |  99 ----
 .../dataframe/danfo.dataframe.cumsum.md       |  99 ----
 .../dataframe/danfo.dataframe.describe.md     |  61 ---
 .../dataframe/danfo.dataframe.div.md          | 254 ----------
 .../dataframe/danfo.dataframe.dropna.md       |  96 ----
 .../dataframe/danfo.dataframe.eq.md           | 190 --------
 .../dataframe/danfo.dataframe.fillna.md       | 178 -------
 .../dataframe/danfo.dataframe.ge.md           | 195 --------
 .../dataframe/danfo.dataframe.groupby.md      | 148 ------
 .../dataframe/danfo.dataframe.gt.md           | 191 --------
 .../dataframe/danfo.dataframe.head.md         |  53 --
 .../dataframe/danfo.dataframe.iloc.md         | 331 -------------
 .../dataframe/danfo.dataframe.isna.md         |  54 ---
 .../dataframe/danfo.dataframe.it.md           | 194 --------
 .../dataframe/danfo.dataframe.le.md           | 194 --------
 .../dataframe/danfo.dataframe.loc.md          | 367 --------------
 .../dataframe/danfo.dataframe.max.md          | 118 -----
 .../dataframe/danfo.dataframe.mean.md         | 120 -----
 .../dataframe/danfo.dataframe.median.md       | 120 -----
 .../dataframe/danfo.dataframe.min.md          | 120 -----
 .../dataframe/danfo.dataframe.mod.md          | 258 ----------
 .../dataframe/danfo.dataframe.mul.md          | 252 ----------
 .../dataframe/danfo.dataframe.ne.md           | 187 --------
 .../dataframe/danfo.dataframe.pow.md          | 260 ----------
 .../dataframe/danfo.dataframe.query.md        | 278 -----------
 .../dataframe/danfo.dataframe.replace.md      | 102 ----
 .../dataframe/danfo.dataframe.round.md        | 128 -----
 .../dataframe/danfo.dataframe.sample.md       | 112 -----
 .../dataframe/danfo.dataframe.std.md          |  94 ----
 .../dataframe/danfo.dataframe.sub.md          | 250 ----------
 .../dataframe/danfo.dataframe.sum.md          | 121 -----
 .../dataframe/danfo.dataframe.tail.md         |  53 --
 .../dataframe/danfo.dataframe.var.md          |  94 ----
 .../dataframe/dataframe.append.md             |  75 ---
 .../dataframe/dataframe.apply_map.md          |  68 ---
 .../dataframe/dataframe.astype.md             | 222 ---------
 .../dataframe/dataframe.axes.md               |  47 --
 .../dataframe/dataframe.drop.md               | 143 ------
 .../dataframe/dataframe.dtypes.md             | 100 ----
 .../dataframe/dataframe.index.md              |  69 ---
 .../dataframe/dataframe.ndim.md               |  46 --
 .../dataframe/dataframe.nunique-1.md          |  98 ----
 .../dataframe/dataframe.print.md              | 105 ----
 .../dataframe/dataframe.rename.md             | 148 ------
 .../dataframe/dataframe.reset_index.md        |  73 ---
 .../dataframe/dataframe.select_dtypes.md      |  94 ----
 .../dataframe/dataframe.set_index.md          | 176 -------
 .../dataframe/dataframe.shape.md              |  43 --
 .../dataframe/dataframe.sort_index.md         |  73 ---
 .../dataframe/dataframe.sort_values.md        |  99 ----
 .../dataframe/dataframe.tensor.md             | 107 -----
 .../dataframe/dataframe.to_csv.md             | 114 -----
 .../dataframe/dataframe.to_excel.md           |  53 --
 .../dataframe/dataframe.to_json.md            | 126 -----
 .../dataframe/dataframe.values.md             |  50 --
 .../general-functions/README.md               |  27 --
 .../general-functions/danfo.concat.md         | 187 --------
 .../general-functions/danfo.date_range.md     | 111 -----
 .../general-functions/danfo.get_dummies.md    | 188 --------
 .../general-functions/danfo.labelencoder.md   | 140 ------
 .../general-functions/danfo.merge.md          | 453 ------------------
 .../general-functions/danfo.minmaxscaler.md   | 125 -----
 .../general-functions/danfo.onehotencoder.md  | 148 ------
 .../general-functions/danfo.standardscaler.md | 132 -----
 .../general-functions/danfo.to_datetime.md    | 141 ------
 api-reference-v1-stable/groupby.md            | 122 -----
 api-reference-v1-stable/groupby/README.md     |  34 --
 .../groupby/groupby.agg.md                    |  93 ----
 .../groupby/groupby.apply.md                  |  84 ----
 .../groupby/groupby.col.md                    | 105 ----
 .../groupby/groupby.count.md                  | 175 -------
 .../groupby/groupby.cummax.md                 | 258 ----------
 .../groupby/groupby.cummin.md                 | 258 ----------
 .../groupby/groupby.cumprod.md                | 258 ----------
 .../groupby/groupby.cumsum.md                 | 259 ----------
 .../groupby/groupby.get_groups.md             | 129 -----
 .../groupby/groupby.max.md                    | 170 -------
 .../groupby/groupby.mean.md                   | 173 -------
 .../groupby/groupby.min.md                    | 171 -------
 .../groupby/groupby.std.md                    | 175 -------
 .../groupby/groupby.sum.md                    | 172 -------
 .../groupby/groupby.var.md                    | 175 -------
 .../input-output/README.md                    |  18 -
 .../input-output/danfo.read_csv.md            | 135 ------
 .../input-output/danfo.read_excel.md          |  68 ---
 .../input-output/danfo.read_json.md           | 128 -----
 .../input-output/danfo.to_csv.md              | 115 -----
 .../input-output/danfo.to_excel.md            |  54 ---
 .../input-output/danfo.to_json.md             | 124 -----
 api-reference-v1-stable/input-output/read.md  | 138 ------
 api-reference-v1-stable/plotting/README.md    |  19 -
 .../plotting/bar-charts.md                    |  78 ---
 api-reference-v1-stable/plotting/box-plots.md | 122 -----
 .../plotting/configuring-your-plots.md        |  69 ---
 .../plotting/histograms.md                    | 120 -----
 .../plotting/line-charts.md                   | 112 -----
 .../plotting/pie-charts.md                    | 127 -----
 .../plotting/scatter-plots.md                 |  91 ----
 api-reference-v1-stable/plotting/tables.md    |  97 ----
 .../plotting/timeseries-plots.md              |  58 ---
 .../plotting/violin-plots.md                  | 116 -----
 api-reference-v1-stable/series/README.md      | 182 -------
 .../series/creating-a-series.md               | 210 --------
 .../series/danfo.series.add.md                |  22 -
 .../series/danfo.series.apply.md              |  63 ---
 .../series/danfo.series.copy.md               |  22 -
 .../series/danfo.series.count.md              |  24 -
 .../series/danfo.series.describe.md           |  26 -
 .../series/danfo.series.div.md                |  26 -
 .../series/danfo.series.head.md               |  25 -
 .../series/danfo.series.map.md                |  42 --
 .../series/danfo.series.max.md                |   2 -
 .../series/danfo.series.maximum.md            |  22 -
 .../series/danfo.series.mean.md               |   2 -
 .../series/danfo.series.median.md             |   2 -
 .../series/danfo.series.min.md                |   2 -
 .../series/danfo.series.minimum.md            |  22 -
 .../series/danfo.series.mod.md                |  24 -
 .../series/danfo.series.mode.md               |   2 -
 .../series/danfo.series.mul.md                |  26 -
 .../series/danfo.series.pow.md                |  26 -
 .../series/danfo.series.reset_index.md        |  31 --
 .../series/danfo.series.round.md              |  20 -
 .../series/danfo.series.sample.md             |  22 -
 .../series/danfo.series.set_index.md          |  40 --
 .../series/danfo.series.sort_values.md        |  27 --
 .../series/danfo.series.std.md                |  20 -
 .../series/danfo.series.sub.md                |  24 -
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diff --git a/api-reference-v1-stable/README.md b/api-reference-v1-stable/README.md
deleted file mode 100644
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--- a/api-reference-v1-stable/README.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  This page gives an overview of all public danfo objects, functions and
-  methods. All classes and functions exposed in danfo.* namespace are public.
----
-
-# API reference
-
-* [General Functions](general-functions/)
-  * [Data manipulations](general-functions/#data-manipulations)
-  * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
-* [Input/output](input-output/)
-  * [CSV](input-output/#csv)
-  * [JSON](input-output/#json)
-* [Series](series/)
-  * [Attributes](series/#attributes)
-  * [Conversion](series/#conversion)
-  * [Indexing, iteration](series/#indexing-iteration)
-  * [Binary operator functions](series/#binary-operator-functions)
-  * [Function application, GroupBy & window](series/#function-application-and-groupby)
-  * [Computations / descriptive stats](series/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](series/#reindexing-selection-label-manipulation)
-  * [Missing data handling](series/#missing-data-handling)
-  * [Reshaping, sorting](series/#reshaping-sorting)
-  * [Accessors](series/#accessors)
-  * [Serialization / IO / conversion](series/#serialization-io-conversion)
-* [DataFrame](dataframe/)
-  * [Attributes ](dataframe/#attributes)
-  * [Conversion](dataframe/#conversion)
-  * [Indexing, iteration](dataframe/#indexing-iteration)
-  * [Binary operator functions](dataframe/#binary-operator-functions)
-  * [Function application, GroupBy & window](dataframe/#function-application-and-groupby)
-  * [Computations / descriptive stats](dataframe/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](dataframe/#reindexing-selection-label-manipulation)
-  * [Missing data handling](dataframe/#missing-data-handling)
-  * [Reshaping, sorting, transposing](dataframe/#sorting-and-transposing)
-  * [Combining / comparing / joining / merging](dataframe/#combining-comparing-joining-merging)
-  * [Serialization / IO / conversion](dataframe/#serialization-io-conversion)
-* [Plotting](plotting/)
-  * [Line Charts](plotting/line-charts.md)
-  * [Bar Charts](plotting/bar-charts.md)
-  * [Scatter Plots](plotting/scatter-plots.md)
-  * [Histograms](plotting/histograms.md)
-  * [Pie Charts](plotting/pie-charts.md)
-  * [Tables](plotting/tables.md)
-  * [Box Plots](plotting/box-plots.md)
-  * [Violin Plots](plotting/violin-plots.md)
-  * [Timeseries Plots](plotting/timeseries-plots.md)
-* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
-  * [Indexing, iteration](groupby/#indexing-iteration)
-  * [Function application](groupby/#function-application)
-  * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
-
diff --git a/api-reference-v1-stable/configuration-options.md b/api-reference-v1-stable/configuration-options.md
deleted file mode 100644
index f4c2136..0000000
--- a/api-reference-v1-stable/configuration-options.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: >-
-  This section describes all user configurable options available on
-  DataFrame/Series creation.
----
-
-# Configuration Options
-
-On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
-
-| Parameter          | Description                                                                                                                                                                                                           |
-| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
-| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
-| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
-
-> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
-
-## Examples of setting configs
-
-### Add a DataFrame header
-
-```javascript
- const data = {
-                "Name": ["Apples", "Mango", "Banana", "Pear"],
-                "Count": [21, 5, 30, 10],
-                "Price": [200, 300, 40, 250]
-            };
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔════════════════════════════════════════════════════════════════════════╗
-║                               THE HEADER                               ║
-║                   This is the table about something                    ║
-╟────────────┬───────────────────┬───────────────────┬───────────────────╢
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Configure column size and display format of DataFrame
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-};
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-            columns: [
-                { alignment: 'left' },
-                { alignment: 'center', width: 20 },
-                { alignment: 'right' },
-                { alignment: 'justify' }
-            ],
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔══════════════════════════════════════════╗
-║                THE HEADER                ║
-║    This is the table about something     ║
-╟───┬──────────────────────┬───────┬───────╢
-║   │         Name         │ Count │ Price ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 0 │        Apples        │    21 │ 200   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 1 │        Mango         │     5 │ 300   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 2 │        Banana        │    30 │ 40    ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 3 │         Pear         │    10 │ 250   ║
-╚═══╧══════════════════════╧═══════╧═══════╝
-```
-
-### Configure the number of rows displayed when **print** is called
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250],
-
-};
-const df = new DataFrame(data, {
-    config: {
-        tableMaxColInConsole: 6,
-        tableMaxRow: 1
-    }
-});
-df.print()
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/dataframe/README.md b/api-reference-v1-stable/dataframe/README.md
deleted file mode 100644
index a45aabd..0000000
--- a/api-reference-v1-stable/dataframe/README.md
+++ /dev/null
@@ -1,145 +0,0 @@
----
-description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
----
-
-# Dataframe
-
-> `DataFrame`(data, {\
->                                 **columns:** \[ Array ],\
->                                  **dtypes:** \[ Array ],** **\
-> **                                 index: **\[Array], \
->                                  **options**: Object})
-
-### Attributes
-
-| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
-| ------------------------------------------------ | ---------------------------------------- |
-| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
-
-| [`DataFrame.ctypes`](dataframe.dtypes.md)               | Return the data types in the DataFrame.                                |
-| ------------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.select_dtypes`](dataframe.select_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md)               | Return a Numpy representation of the DataFrame.                        |
-| [`DataFrame.axes`](dataframe.axes.md)                   | Return a Object representing the axes of the DataFrame.                |
-| [`DataFrame.ndim`](dataframe.ndim.md)                   | Return an int representing the number of axes / array dimensions.      |
-| [`DataFrame.size`](broken-reference)                    | Return an int representing the number of elements in this object.      |
-| [`DataFrame.shape`](dataframe.shape.md)                 | Return a tuple representing the dimensionality of the DataFrame.       |
-
-### Conversion
-
-| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
-| ------------------------------------------- | -------------------------------------------------- |
-| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
-
-### Indexing, iteration
-
-| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
-| --------------------------------------------- | ------------------------------------------------------------------ |
-| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
-| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
-| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
-
-### Binary operator functions
-
-| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
-| ----------------------------------------- | --------------------------------------------------------------------------------------- |
-| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
-| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
-| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
-| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
-| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
-| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
-| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
-| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
-| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
-| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
-| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
-
-### Function application & GroupBy
-
-| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
-| --------------------------------------------- | --------------------------------------------------------- |
-| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
-| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
-
-### Computations / descriptive stats
-
-| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
-| --------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
-| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
-| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
-| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
-| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
-| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
-| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
-| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
-| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
-| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
-| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
-| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
-| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
-| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
-| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
-| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
-| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
-
-### Reindexing / selection / label manipulation
-
-|                                                     |                                                         |
-| --------------------------------------------------- | ------------------------------------------------------- |
-| [`DataFrame.drop`](dataframe.drop.md)               | Drop specified labels from rows or columns.             |
-| [`DataFrame.head`](danfo.dataframe.head.md)         | Return the first n rows.                                |
-| [`DataFrame.rename`](dataframe.rename.md)           | Alter axes labels.                                      |
-| [`DataFrame.reset_index`](dataframe.reset_index.md) | Reset the index of a DataFrame                          |
-| [`DataFrame.sample`](danfo.dataframe.sample.md)     | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set_index.md)     | Set the DataFrame index using existing columns.         |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)         | Return the last n rows.                                 |
-
-### Missing data handling
-
-|                                                   |                                             |
-| ------------------------------------------------- | ------------------------------------------- |
-| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
-| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
-| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
-| [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
-
-### Sorting & transposing
-
-|                                                                                                                        |                                       |
-| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| [`DataFrame.sort_values`](dataframe.sort_values.md)                                                                    | Sort by the values along either axis. |
-| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
-
-### Combining / comparing / joining / merging
-
-|                                                            |                                                                     |
-| ---------------------------------------------------------- | ------------------------------------------------------------------- |
-| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
-| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
-| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                          |                                                               |
-| -------------------------------------------------------- | ------------------------------------------------------------- |
-| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
-| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                             |                                                      |
-| ------------------------------------------- | ---------------------------------------------------- |
-| [`DataFrame.to_csv`](dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`DataFrame.to_json`](dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/dataframe/creating-a-dataframe.md b/api-reference-v1-stable/dataframe/creating-a-dataframe.md
deleted file mode 100644
index 0228131..0000000
--- a/api-reference-v1-stable/dataframe/creating-a-dataframe.md
+++ /dev/null
@@ -1,355 +0,0 @@
----
-description: Creates a DataFrame object from flat structure
----
-
-# Creating a DataFrame
-
-new danfo.**DataFrame**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>columns:</b> Array of column names. If not specified, column names are
-          auto generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
-
-### Creating a `DataFrame` from a JSON object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-df = new dfd.DataFrame(json_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Creating a `DataFrame` from an array of array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
-let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` from a 2D tensor
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
-
-
-let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
-let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-
-### Creating a `DataFrame` from an object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-console.log(dates);
-
-obj_data = {'A': dates,
-            'B': ["bval1", "bval2", "bval3", "bval4"],
-            'C': [10, 20, 30, 40],
-            'D': [1.2, 3.45, 60.1, 45],
-            'E': ["test", "train", "test", "train"]
-            }
-
-df = new dfd.DataFrame(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-        console.log(dates);
-
-        obj_data = {'A': dates,
-                    'B': ["bval1", "bval2", "bval3", "bval4"],
-                    'C': [10, 20, 30, 40],
-                    'D': [1.2, 3.45, 60.1, 45],
-                    'E': ["test", "train", "test", "train"]
-                    }
-
-        df = new dfd.DataFrame(obj_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//output in console
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying index, dtypes, columns
-
-You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
-
-> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-let index = ["a", "b"];
-let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
-let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
-
-let df = new DataFrame(data1, { index, columns, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying memory mode
-
-To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-
-let df = new DataFrame(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
-{% endhint %}
-
-For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md b/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
deleted file mode 100644
index 83c6cd3..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a DataFrame with the absolute numeric value of each element.
----
-
-# DataFrame.abs
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-             
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_abs = df.abs()
-df_abs.abs().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after applying abs function
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.1              │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.add.md b/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
deleted file mode 100644
index 467c143..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
+++ /dev/null
@@ -1,246 +0,0 @@
----
-description: Get Addition of DataFrame and other, element-wise (binary operator add).
----
-
-# DataFrame.add
-
-danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Addition of** scalar to **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.add(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 25                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 47                │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 58                │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 26                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of**  Series to **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.add(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 8                 │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 9                 │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of**  **DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.add(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 2                 │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 9                 │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 25                │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of** ** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.add(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.add(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md b/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
deleted file mode 100644
index ef0ecc9..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Add new column to a DataFrame
----
-
-# DataFrame.addColumn
-
-danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
-
-**Returns:**
-
-## **Examples**
-
-## **Add Array as a new column to DataFrame**
-
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Add Series as a new column to DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-let s = new dfd.Series([1, 2, 3, 4])
-df.addColumn({ "column": "D", "values": s, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md b/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
deleted file mode 100644
index 01fab60..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Apply a function to each element or along a specified axis of a DataFrame.
----
-
-# DataFrame.apply
-
-danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Apply a  function along default axis 1 (columns)
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 1 })
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Apply a  function along  axis 0 (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 0 })
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ 6   ║
-╟───┼─────╢
-║ 1 │ 15  ║
-╟───┼─────╢
-║ 2 │ 90  ║
-╟───┼─────╢
-║ 3 │ 206 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.column.md b/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
deleted file mode 100644
index 2d70bfd..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
+++ /dev/null
@@ -1,72 +0,0 @@
----
-description: Return the elements of the specified column in the DataFrame
----
-
-# DataFrame.column
-
-danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
-
-| Parameters | Type   | Description                           | Default |
-| ---------- | ------ | ------------------------------------- | ------- |
-| column     | String | The name of a column in the DataFrame |         |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## **Select a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = { "Name": ["Apples", "App", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10] ,
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-
-df.column("Name").print()
-
-//Alternatively, you can retrieve columns by using the object property
-df['Name'].print() //produces the same result as above
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md b/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
deleted file mode 100644
index ef705ed..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Makes a new copy of the DataFrame
----
-
-# DataFrame.copy
-
-danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-**Returns:**
-
-**       **return** new DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-let new_df = df.copy()
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.count.md b/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
deleted file mode 100644
index 9e9916e..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Count non-NaN cells for each column or row. The values NaN and undefined are
-  considered NaN
----
-
-# DataFrame.count
-
-danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Count Non-NaN values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ Name  │ 3                    ║
-╟───────┼──────────────────────╢
-║ Count │ 2                    ║
-╟───────┼──────────────────────╢
-║ Price │ 4                    ║
-╚═══════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Count Non-NaN values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
deleted file mode 100644
index c46ae7b..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative maximum over a DataFrame or Series axis.
----
-
-# DataFrame.cummax
-
-danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-## Cumulative maximum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 11                │ 20                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 11                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 11                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative maximum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 15                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 89                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
deleted file mode 100644
index 53f4045..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative minimum over a DataFrame or Series axis.
----
-
-# DataFrame.cummin
-
-danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-## Cumulative minimum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1                 │ 15                │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative minimum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 11                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 2                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
deleted file mode 100644
index b780cd2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative product over a DataFrame or Series axis.
----
-
-# DataFrame.cumprod
-
-danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-## Cumulative product of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 10                │ 18                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 300               │ 720               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 4                 │ 26700             │ 56160             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative product of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod({axis: 1})
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 60                │ 2400              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 178               │ 13884             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
deleted file mode 100644
index 4863805..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative sum over a DataFrame or Series axis.
----
-
-# DataFrame.cumsum
-
-danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-## Cumulative sum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 12                │ 35                │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 14                │ 65                │ 49                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 16                │ 154               │ 127               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative sum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 31                │ 34                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 16                │ 22                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 32                │ 72                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 91                │ 169               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md b/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
deleted file mode 100644
index 4dac614..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
+++ /dev/null
@@ -1,61 +0,0 @@
----
-description: >-
-  Generate descriptive statistics for each numeric column. Numeric columns are
-  of type Int and float.
----
-
-# DataFrame.describe
-
-danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
-let col_names = ["col1", "col2", "col3", "col4"]
-let df = new dfd.DataFrame(data, {columns: col_names})
-
-df.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 3                 │ 3                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0                 │ 2                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 2                 │ 4                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 360               │ 180               │ 360               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.div.md b/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
deleted file mode 100644
index 54123d9..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
+++ /dev/null
@@ -1,254 +0,0 @@
----
-description: >-
-  Get Float division of DataFrame and other, element-wise (binary operator
-  truediv).
----
-
-# DataFrame.div
-
-danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Division of** scalar with **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.div(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of**  Series with **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.div(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0.25              │ 0.6000000238418…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0.4000000059604…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1.25              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0.25              │ 0.8000000119209…  ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of**  **DataFrame **with** a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.div(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0.1000000014901…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0.8000000119209…  │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0.25              │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of** ** Array **with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.div(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.div(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
deleted file mode 100644
index 81006a1..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Remove missing values (NaNs, undefined, null) for DataFrame
----
-
-# DataFrame.dropna
-
-danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
-
-| Parameters | Type   | Description                                                                                                                   | Default              |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
-| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
-| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace: **false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Drop rows (axis=0) with missing values  
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-let df_drop = df.dropna(0)
-df_drop.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop columns (axis=1) with missing values  
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-df.dropna({axis: 1, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md b/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
deleted file mode 100644
index a43fbd0..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
+++ /dev/null
@@ -1,190 +0,0 @@
----
-description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.eq
-
-danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.eq(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.eq(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.eq(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.eq(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
deleted file mode 100644
index 49aa13d..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
+++ /dev/null
@@ -1,178 +0,0 @@
----
-description: >-
-  Fill NaN/undefined values using the specified method. Detect missing values
-  for an array-like object.
----
-
-# DataFrame.fillna
-
-danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
-
-| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
-| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Fill missing values in specified columns with specified values 
-
-Missing values are NaN, undefined or null values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let values = ["Apples", df["Count"].mean()]
-let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//Before filling
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ NaN               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ NaN               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ NaN               │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After filling
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 7.5               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 7.5               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill all columns with NaNs with a specified value 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
-
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill NaNs inplace 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let values = ["Apples", df["Count"].mean()]
-df.fillna(values, {
-    columns: ["Name", "Count"],
-    inplace: true
-})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
deleted file mode 100644
index 3b41ec3..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
+++ /dev/null
@@ -1,195 +0,0 @@
----
-description: >-
-  Get Greater or Equal to of DataFrame and other, element-wise (binary operator
-  eq).
----
-
-# DataFrame.ge
-
-danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-**     DataFrame**
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ge(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ge(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ge(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.ge(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md b/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
deleted file mode 100644
index a31f095..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Group DataFrame using a mapper or by a Series of columns.
----
-
-# DataFrame.groupby
-
-danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
-
-| Parameters | Type  | Description                                           | Default |
-| ---------- | ----- | ----------------------------------------------------- | ------- |
-| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
-
-**Returns:**
-
-**       **return** DataFrame.groups**
-
-## **Examples**
-
-## **Groupby a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"])
-console.log(group_df)
-
-//GroupBy Object
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
-  data: [
-    [ 'Pear', 2, 3 ],
-    [ 'Pear', 5, 6 ],
-    [ 'Apple', 30, 40 ],
-    [ 'Apple', 89, 78 ]
-  ],
-  column_name: [ 'A', 'B', 'C' ],
-  data_tensors: {
-    Pear: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-      '$index': [Array],
-      '$dtypes': [Array],
-      '$columns': [Array]
-    },
-    Apple: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-       ...
-      '$columns': [Array]
-    }
-  },
-  col_dtype: [ 'string' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
-
-1. [count](danfo.dataframe.count.md)
-2. [sum](danfo.dataframe.sum.md)
-3. [std](danfo.dataframe.std.md)
-4. [var](danfo.dataframe.var.md)
-5. [mean](danfo.dataframe.mean.md)
-6. [cumsum](danfo.dataframe.cumsum.md) 
-7. [cummax](danfo.dataframe.cummax.md)
-8. [cumprod](danfo.dataframe.cumprod.md)
-9. [cummin](danfo.dataframe.cummin.md)
-10. [max](danfo.dataframe.max.md)
-11. [min](danfo.dataframe.min.md)
-
-## Example of Groupby and apply a sum function
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"]).sum()
-
-group_df.print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B_sum             │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 7                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 119               │ 118               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-## **Groupby a two columns from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A", "B"]).sum()
-
-group_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 2                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Apple             │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md b/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
deleted file mode 100644
index 121c7e7..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
+++ /dev/null
@@ -1,191 +0,0 @@
----
-description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.gt
-
-danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.gt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.gt(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.gt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.gt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.head.md b/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
deleted file mode 100644
index 10ae0f2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the first n rows of the DataFrame based on position.
----
-
-# DataFrame.head
-
-danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.head(2)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
deleted file mode 100644
index f8e0f4c..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
+++ /dev/null
@@ -1,331 +0,0 @@
----
-description: Purely integer-location based indexing for selection by position.
----
-
-# DataFrame.iloc
-
-danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                         | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A string slice object with ints, e.g. `"1:7"`
-* A boolean array.
-
-_**Note:** only the start index is included._
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,1,3]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row and return all columns**
-
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: ["1:3"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of column and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by the specified index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,3], columns: [1,2]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by slices
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-╔═══╤═══════════════════╗
-║   │ Count             ║
-╟───┼───────────────────╢
-║ 2 │ 30                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### More default slicing behavior
-
-If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
deleted file mode 100644
index b919db5..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Return a boolean same-sized object indicating if the values are NaN.
-  NaN/undefined values gets mapped to true values, and everything else gets
-  mapped to false values.
----
-
-# DataFrame.isna
-
-danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.isna().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.it.md b/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
deleted file mode 100644
index 69093a2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: Get Less than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.It
-
-danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-           "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.lt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10, 40])
-
-let df_rep = df.lt(sf, { axis: 1 })
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-         "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.lt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.lt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.le.md b/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
deleted file mode 100644
index 0b88ff1..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: >-
-  Get Less than or Equal to of DataFrame and other, element-wise (binary
-  operator eq).
----
-
-# DataFrame.le
-
-danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.le(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.le(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-              "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.le(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.le(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
deleted file mode 100644
index 88d7556..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
+++ /dev/null
@@ -1,367 +0,0 @@
----
-description: Access a group of rows and columns by label(s)
----
-
-# DataFrame.loc
-
-danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                            | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-`.loc()` is  label position based-from `0` to `length-1` of the row axis.
-
-Allowed inputs for are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note: **only** **the start label is included, and the end label is ignored. _
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Index by specific rows and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({rows: ["a", "c"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a list of column names and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({columns: ["Count", "Price"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ a │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ b │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Index both axes by the specified labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: ["c","d"], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after slicing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-df`.loc({ row: [a:e]}).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-df``.loc({ row: [`"a":"e"`]}).print()``\
-\
-_**Inner**_ _**quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### Slice DataFrame rows by boolean condition 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.loc({ rows: df["Count"].gt(6) })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-### Slice DataFrame rows by multiple boolean conditions
-
-{% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame. _
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let condition = df["Count"].gt(6).and(df["Price"].lt(250))
-let sub_df = df.loc({ rows: condition })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-### Slice DataFrame with boolean mask
-
-{% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame. _
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-
-let sub_df = df.loc({ rows: [false, true, true, true] })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.max.md b/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
deleted file mode 100644
index f8e9124..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Return the maximum of the values for the requested axis.
----
-
-# DataFrame.max
-
-danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Return the maximum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.max().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 11                   ║
-╟───┼──────────────────────╢
-║ B │ 89                   ║
-╟───┼──────────────────────╢
-║ C │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the maximum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.max({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 15                   ║
-╟───┼──────────────────────╢
-║ 2 │ 40                   ║
-╟───┼──────────────────────╢
-║ 3 │ 89                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
deleted file mode 100644
index fbc005e..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the mean of the values for the requested axis.
----
-
-# DataFrame.mean
-
-danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Computes the mean of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.mean().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 4                    ║
-╟───┼──────────────────────╢
-║ B │ 38.5                 ║
-╟───┼──────────────────────╢
-║ C │ 31.75                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Computes the mean of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-let cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.mean({ axis: 0 }).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11.333333015441895   ║
-╟───┼──────────────────────╢
-║ 1 │ 7.333333492279053    ║
-╟───┼──────────────────────╢
-║ 2 │ 24                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56.33333206176758    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.median.md b/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
deleted file mode 100644
index e75519f..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the median of the values for the requested axis.
----
-
-# DataFrame.median
-
-danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Calculates the median of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.median().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 2                    ║
-╟───┼──────────────────────╢
-║ B │ 25                   ║
-╟───┼──────────────────────╢
-║ C │ 23                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the median of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.median({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11                   ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 30                   ║
-╟───┼──────────────────────╢
-║ 3 │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.min.md b/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
deleted file mode 100644
index 93b9bf8..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the minimum of the values for the requested axis.
----
-
-# DataFrame.min
-
-danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Returns the minimum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.min().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 1                    ║
-╟───┼──────────────────────╢
-║ B │ 15                   ║
-╟───┼──────────────────────╢
-║ C │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the minimum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.min({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
deleted file mode 100644
index 8cd7e9f..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
----
-
-# DataFrame.mod
-
-danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Modulo of** scalar with **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mod(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of**  Series with **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mod(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 4                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of**  **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mod(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 5                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of** ** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mod(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mod(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
deleted file mode 100644
index 3627b59..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
+++ /dev/null
@@ -1,252 +0,0 @@
----
-description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
----
-
-# DataFrame.mul
-
-danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Multiplication of** scalar to **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mul(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of**  Series to **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mul(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 4                 │ 15                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 16                │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 4                 │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of**  **DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mul(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 100               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 8                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of** ** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mul(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mul(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
deleted file mode 100644
index 1996400..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.ne
-
-danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing** **DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ne(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ne(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ne(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing** **DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10, 40, 30, 20]
-
-let df_rep = df.le(val)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             │ false             │ true              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md b/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
deleted file mode 100644
index 634e6e2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
+++ /dev/null
@@ -1,260 +0,0 @@
----
-description: >-
-  Get Exponential power of dataframe and other, element-wise (binary operator
-  pow).
----
-
-# DataFrame.pow
-
-danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Exponential of** scalar with **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.pow(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of**  Series with **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.pow(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 243               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 256               │ 32                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 625               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 1024              ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of**  **DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.pow(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 1048576           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1024              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 95367433551872    │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 16                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of** ** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.pow(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.pow(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.query.md b/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
deleted file mode 100644
index 129c8e7..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
+++ /dev/null
@@ -1,278 +0,0 @@
----
-description: >-
-  Query the DataFrame by the result of a logical comparison or boolean mask.
-  Supports logical operations like (">", "<", ">=", "<=", and. "==")
----
-
-# DataFrame.query
-
-danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
-| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
-
-## **Examples**
-
-## **Query a DataFrame using a boolean mask**
-
-{% hint style="info" %}
-Querying by a boolean condition is supported from v0.3.0 and above.
-{% endhint %}
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5) })
-query_df.print() //after query
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
-query_df.print() //after query
-
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Ng                │ 34                │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-## **Query a DataFrame using logical operators**
-
-To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print() //before query
-
-let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
-query_df.print() //after query
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 4                 │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query by a string column in a DataFrame**
-
-The query method also works on string columns.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": ["Ng", "Yu", "Mo", "Ng"],
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-            
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query a DataFrame inplace**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.query({
-    column: "B",
-    is: ">",
-    to: 5,
-    inplace: true
-})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md b/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
deleted file mode 100644
index 9a0b39f..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
+++ /dev/null
@@ -1,102 +0,0 @@
----
-description: Replaces values in a DataFrame with specified values
----
-
-# DataFrame.replace
-
-> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
-
-| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
-| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
-| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
-| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
-| options    | Object                  | <p><strong>columns: </strong>Array<strong>. </strong>An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-****
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.replace(10, -999, { columns: ["Col1"] })
-
-df_rep.print()
- 
- 
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -999              │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 45                │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 56                │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -999              │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By not specifying a** **column**, **the** **replace works on all columns ** **
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
-let df = new dfd.DataFrame(data)
-//replace value in all column
-let df_rep = df.replace("A", "BOY")
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ B                 │ C                 │ C                 │ D                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.round.md b/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
deleted file mode 100644
index 32e7c8a..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: Round elements in a DataFrame to a specified number of decimal places.
----
-
-# DataFrame.round
-
-danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-## Round elements to 1dp (Default)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1              │ 3.6               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.1               │ 40.2              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Round elements to a specified number of decimal places
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round(2)
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round operation 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.12             │ 3.57              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.23             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
deleted file mode 100644
index 73e057a..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
+++ /dev/null
@@ -1,112 +0,0 @@
----
-description: Return a random sample of rows from DataFrame.
----
-
-# DataFrame.sample
-
-danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
-
-| Parameters | Type | Description                                                                                                                        | Default |
-| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
-| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
-
-**Returns:**
-
-**       **return** {Promies} resolves to DataFrame**
-
-****
-
-## Sample a DataFrame randomly
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data = {
-    Name: ["Apples", "Mango", "Banana", "Pear"],
-    Count: [21, 5, 30, 10],
-    Price: [200, 300, 40, 250],
-  };
-
-  let df = new dfd.DataFrame(data);
-  let s_df = await df.sample(2);
-  s_df.print();
-  
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sample a DataFrame randomly with seed
-
-By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data = {
-        Name: ["Apples", "Mango", "Banana", "Pear"],
-        Count: [21, 5, 30, 10],
-        Price: [200, 300, 40, 250],
-    };
-
-    let df = new dfd.DataFrame(data);
-    let s_df = await df.sample(3, { seed: 2 });
-    s_df.print();
-
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.std.md b/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
deleted file mode 100644
index b94372e..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return sample standard deviation over requested axis.
----
-
-# DataFrame.std
-
-danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Calculates the standard deviation of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4.69041575982343     ║
-╟───┼──────────────────────╢
-║ 1 │ 34.23935357645254    ║
-╟───┼──────────────────────╢
-║ 2 │ 35.103418636936205   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the standard deviation of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 8.504900548115383    ║
-╟───┼──────────────────────╢
-║ 1 │ 7.094598884597588    ║
-╟───┼──────────────────────╢
-║ 2 │ 19.697715603592208   ║
-╟───┼──────────────────────╢
-║ 3 │ 47.37439533475159    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
deleted file mode 100644
index aded5cb..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
+++ /dev/null
@@ -1,250 +0,0 @@
----
-description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
----
-
-# DataFrame.sub
-
-danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Subtraction of** scalar to **DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.sub(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of**  Series to **DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.sub(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ -3                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ -3                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ -5                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -3                │ -1                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of**  **DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.sub(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ -18               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ -1                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ -15               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -10               │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of** ** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.sub(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.sub(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
deleted file mode 100644
index 515788b..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Return the sum of the values for the requested axis.
----
-
-# DataFrame.sum
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Sum elements along default axis (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum()
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20.1             │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ -20               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ -20               │ 6                 │ -40               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤════════════════════╗
-║ A │ 37.199999999999996 ║
-╟───┼────────────────────╢
-║ B │ 41                 ║
-╟───┼────────────────────╢
-║ C │ -10                ║
-╚═══╧════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sum elements along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum({axis: 0})
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ sum                  ║
-╟───┼──────────────────────╢
-║ 0 │ 33.9                 ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 82.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -54                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md b/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
deleted file mode 100644
index f317ba2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the last n rows from the DataFrame based on position.
----
-
-# DataFrame.tail
-
-danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.tail(3)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.var.md b/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
deleted file mode 100644
index b95bb1a..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return unbiased variance over requested axis.
----
-
-# DataFrame.var
-
-danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-## Calculate variance of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 22                   ║
-╟───┼──────────────────────╢
-║ 1 │ 1172.3333333333333   ║
-╟───┼──────────────────────╢
-║ 2 │ 1232.25              ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculate variance of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 72.33333333333334    ║
-╟───┼──────────────────────╢
-║ 1 │ 50.33333333333333    ║
-╟───┼──────────────────────╢
-║ 2 │ 388                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2244.333333333333    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/dataframe/dataframe.append.md b/api-reference-v1-stable/dataframe/dataframe.append.md
deleted file mode 100644
index ae84a8b..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.append.md
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Adds new row to the end of a DataFrame
----
-# DataFrame.append
-
-danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
-
-| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
-| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
-| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
-| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Appends a new row to the end of a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_df = df.append([[20, 40, 60, "d"]], [3])
-new_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 40                │ 60                │ d                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/dataframe/dataframe.apply_map.md b/api-reference-v1-stable/dataframe/dataframe.apply_map.md
deleted file mode 100644
index 986566f..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.apply_map.md
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Apply a function to a Dataframe values element-wise.
----
-
-# DataFrame.apply_map
-
-danfo.DataFrame.**apply_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Apply a  function to all values in a DataFrame
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function. 
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    short_name: ["NG", "GH", "EGY", "SA"],
-    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
-}
-let df = new dfd.DataFrame(data)
-
-function lower(x) {
-    return `${x}`.toLowerCase()
-}
-
-let df_new = df.apply_map(lower)
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ short_name        │ long_name         ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ ng                │ nigeria           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ gh                │ ghana             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ egy               │ eqypt             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ sa                │ south africa      ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.astype.md b/api-reference-v1-stable/dataframe/dataframe.astype.md
deleted file mode 100644
index fb388a3..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.astype.md
+++ /dev/null
@@ -1,222 +0,0 @@
----
-description: Cast column of a DataFrame to a specified dtype.
----
-
-# DataFrame.astype
-
-danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Cast a float dtype column to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-df.ctypes.print()
-
-let df_new = df.astype({column: "A", dtype: "int32"})
-df_new.print()
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before casting
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-
-
- //after casting
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47                │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Casting a string column of numbers to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["20", "13", "45", "90"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ 13                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ 45                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-**Note: **Casting a string column of alphabets/words to numeric form will return NaNs as values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.axes.md b/api-reference-v1-stable/dataframe/dataframe.axes.md
deleted file mode 100644
index 4bdc319..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.axes.md
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: >-
-  Return an Object containing the axes of the DataFrame. It has the row axis
-  labels and column axis labels as the only members. They are returned in that
-  order.
----
-
-# DataFrame.axes
-
-danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-**       **return** Object**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.axis)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.drop.md b/api-reference-v1-stable/dataframe/dataframe.drop.md
deleted file mode 100644
index 2376308..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.drop.md
+++ /dev/null
@@ -1,143 +0,0 @@
----
-description: >-
-  Drop specified labels from rows or columns.Remove rows or columns by
-  specifying label names and corresponding axis.
----
-
-# DataFrame.drop
-
-danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
-| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Drop columns by specifying the names
-
-By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.drop({ columns: ["C", "B"], inplace: true });
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ a                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ b                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ c                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying int labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3, -20],
-    "B": [34, -4, 5, 6],
-    "C": [20, 20, 30, 30],
-    "D": ["a", "b", "c", "c"]
-}
-
-let df = new dfd.DataFrame(data)
-df.drop({ index: [0, 2], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying string labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.drop({ index: ["a", "c"], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.dtypes.md b/api-reference-v1-stable/dataframe/dataframe.dtypes.md
deleted file mode 100644
index 6e856d5..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.dtypes.md
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Return the inferred column types in the DataFrame. This returns a Series with
-  the data type of each column. The result’s index is the original DataFrame’s
-  columns.
----
-
-# DataFrame.ctypes
-
-danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
-
-**Returns:**
-
-**       **return**  Series**
-
-## **Examples**
-
-Returns auto-generated** **index of a** **DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Columns with mixed types are represented as **string.**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note**: To cast a type, use the [astype](dataframe.astype.md) method. 
diff --git a/api-reference-v1-stable/dataframe/dataframe.index.md b/api-reference-v1-stable/dataframe/dataframe.index.md
deleted file mode 100644
index 0983db8..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.index.md
+++ /dev/null
@@ -1,69 +0,0 @@
----
-description: The index (row labels) of the DataFrame.
----
-
-# DataFrame.index
-
-danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-## **Examples**
-
-Returns auto-generated** **index of a** **DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[0, 1, 2, 3]
-```
-{% endtab %}
-{% endtabs %}
-
-
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 'r1', 'r2', 'r3', 'r4' ]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.ndim.md b/api-reference-v1-stable/dataframe/dataframe.ndim.md
deleted file mode 100644
index 002da15..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.ndim.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: >-
-  Return an int representing the number of axes / array dimensions. Returns 1 if
-  Series. Otherwise return 2 for DataFrame.
----
-
-# DataFrame.ndim
-
-danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-**       **return** Int**
-
-**Note:** To get the **shape **of the DataFrame use the .[shape](dataframe.shape.md) property.
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.ndim)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-2
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.nunique-1.md b/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
deleted file mode 100644
index f06d4ed..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
+++ /dev/null
@@ -1,98 +0,0 @@
-# DataFrame.nunique
-
-danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
-
-| Parameters | Type | Description                            | Default |
-| ---------- | ---- | -------------------------------------- | ------- |
-| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-### Return number of unique values along column axis (axis=1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 4 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Return number of unique values in row axis (axis=0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique(axis=0).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note: **To get the unique elements along an axis, use** **[DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference-v1-stable/dataframe/dataframe.print.md b/api-reference-v1-stable/dataframe/dataframe.print.md
deleted file mode 100644
index d03232d..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.print.md
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: >-
-  Pretty prints default (10) number of rows in a DataFrame or Series to the
-  console
----
-
-# DataFrame.print
-
-danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Abs               │ Count             │ country code      ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.2              │ 34                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ FR                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ GH                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Using JavaScript default **console.log** to display a DataFrame will return the Object instead unless you manually cast it to a String
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-console.log(df)
-console.log(String(df));
-// console.log(df + ""); //same result as above
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-DataFrame {
-  '$isSeries': false,
-  '$config': Configs {
-    tableDisplayConfig: {},
-    tableMaxRow: 10,
-    tableMaxColInConsole: 21,
-    dtypeTestLim: 7,
-    lowMemoryMode: false
-  },
-  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
-  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
-  '$index': [ 0, 1, 2 ],
-  '$dtypes': [ 'float32', 'int32', 'string' ],
-  '$columns': [ 'Abs', 'Count', 'country code' ]
-}
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Abs               │ Count             │ country code      ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20.2              │ 34                │ NG                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ FR                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ GH                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.rename.md b/api-reference-v1-stable/dataframe/dataframe.rename.md
deleted file mode 100644
index 6625bc1..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.rename.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: >-
-  Change axes labels. Object values must be unique (1-to-1). Labels not
-  contained in a dict / Series will be left as-is. Extra labels listed don’t
-  throw an error.
----
-
-# DataFrame.rename
-
-danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
-| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### Rename columns 
-
-By setting **inplace **to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.rename({ mapper: {"A": "new_name"},inplace: true })
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename more the one column at time
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 6],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ new_c             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename index by labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, -4, 6],
-    "C": [20, 2, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df = df.rename({ mapper: { "a": 0 }, axis: 0 })
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.reset_index.md b/api-reference-v1-stable/dataframe/dataframe.reset_index.md
deleted file mode 100644
index 00239fc..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.reset_index.md
+++ /dev/null
@@ -1,73 +0,0 @@
----
-description: Reset the index of the DataFrame, and use the default one instead.
----
-
-# DataFrame.reset_index
-
-danfo.DataFrame.**reset_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object | <p><strong>{ </strong></p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, 5, 6],
-    "C": [20, 3, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df.print()
-
-df.reset_index({ inplace: true }) //inplace
-//df = df.reset_index() //not in inplace
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md b/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
deleted file mode 100644
index 127b433..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return a subset of the DataFrame’s columns based on the column dtypes.
----
-
-# DataFrame.select_dtypes
-
-danfo.DataFrame.**select_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
-
-| Parameters | Type  | Description                      | Default |
-| ---------- | ----- | -------------------------------- | ------- |
-| include    | Array | List of column dtypes to return  |         |
-
-**Returns:**
-
-**       **return**  DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-float_df = df.select_dtypes(['float32'])
-float_df.print()
-
-mix_df = df.select_dtypes(include=['float32', "int32"])
-mix_df.print()
-
-str_df = df.select_dtypes(include=['string'])
-str_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//select float column(s)
-╔═══╤══════════════════════╗
-║   │ A                    ║
-╟───┼──────────────────────╢
-║ 0 │ -20.1                ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 2 │ 47.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -20                  ║
-╚═══╧══════════════════════╝
-
-
- //select both float and int columns
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//return string type column
-╔═══╤══════════════════════╗
-║   │ D                    ║
-╟───┼──────────────────────╢
-║ 0 │ a                    ║
-╟───┼──────────────────────╢
-║ 1 │ b                    ║
-╟───┼──────────────────────╢
-║ 2 │ 20                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.set_index.md b/api-reference-v1-stable/dataframe/dataframe.set_index.md
deleted file mode 100644
index e82c213..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.set_index.md
+++ /dev/null
@@ -1,176 +0,0 @@
----
-description: >-
-  Set the DataFrame index using existing columns or an array (of the equal
-  length).
----
-
-# DataFrame.set_index
-
-danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
-| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
-
-## **Examples**
-
-### **Setting index to a column in the DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ -20        │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 30         │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### ****
-
-### **Setting index to a column in the DataFrame and dropping the column**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", drop: true, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ -20        │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 30         │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Set index to an array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_index = ["a", "b", "c"]
-df.set_index({index: new_index, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
diff --git a/api-reference-v1-stable/dataframe/dataframe.shape.md b/api-reference-v1-stable/dataframe/dataframe.shape.md
deleted file mode 100644
index 3e8486f..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.shape.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-description: Returns an Array representing the dimensionality of the DataFrame.
----
-
-# DataFrame.shape
-
-danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-**       **return** Int**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.shape)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[4,3]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_index.md b/api-reference-v1-stable/dataframe/dataframe.sort_index.md
deleted file mode 100644
index 0829afe..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.sort_index.md
+++ /dev/null
@@ -1,73 +0,0 @@
----
-description: Sort DataFrame by index
----
-# DataFrame.sort_index
-
-DataFrame.**sort_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
-
-| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
-                           index: ["b", "a", "c"] })
-df.print()
-
-let df2 = df.sort_index({ ascending: false })
-df2.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after sorting in descending order
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_values.md b/api-reference-v1-stable/dataframe/dataframe.sort_values.md
deleted file mode 100644
index 8da51fe..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.sort_values.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Sort a Dataframe in ascending or descending order by a specified column name.
----
-
-# DataFrame.sort_values
-
-danfo.DataFrame.**sort_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending: </strong>Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "C", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Sort DataFrame by a column in descending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "B", inplace: true, ascending: false})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.tensor.md b/api-reference-v1-stable/dataframe/dataframe.tensor.md
deleted file mode 100644
index 125198f..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.tensor.md
+++ /dev/null
@@ -1,107 +0,0 @@
----
-description: Return a Tensorflow tensor representation of the DataFrame. Only the values in the DataFrame will be returned, the axes labels will be removed.
----
-# DataFrame.tensor
-
-danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-**       **return** tf.tensor**
-
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care. 
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30]}
-             
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-Tensor
-    [[-20       , 34, 20],
-     [30        , -4, 20],
-     [47.2999992, 5 , 30],
-     [-20       , 6 , 30]]
-```
-{% endtab %}
-{% endtabs %}
-
-String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32 
-
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 3, 3 ],
-  dtype: 'float32',
-  size: 9,
-  strides: [ 3 ],
-  dataId: {},
-  id: 0,
-  rankType: '2'
-}
-
-Tensor
-    [[20.2000008, 34, NaN],
-     [30        , 4 , NaN],
-     [47.2999992, 5 , NaN]]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_csv.md b/api-reference-v1-stable/dataframe/dataframe.to_csv.md
deleted file mode 100644
index ee31a5e..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_csv.md
+++ /dev/null
@@ -1,114 +0,0 @@
----
-description: Convert DataFrame data to a comma-separated values (csv)
----
-# DataFrame.to_csv
-
-DataFrame.**to_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
-| -------------- | ----------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-****
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = df.to_csv({ download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in browser
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ fileName: "testOut.csv", download: true});
-```
-
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_excel.md b/api-reference-v1-stable/dataframe/dataframe.to_excel.md
deleted file mode 100644
index 4adf437..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_excel.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# DataFrame.to_excel
-
-> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in a browser
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ fileName: "testOut.xlsx"});
-```
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_json.md b/api-reference-v1-stable/dataframe/dataframe.to_json.md
deleted file mode 100644
index 59f7e34..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_json.md
+++ /dev/null
@@ -1,126 +0,0 @@
----
-description: Convert DataFrame to JSON format
----
-# DataFrame.to_json
-
-> DataFrame.**to_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
-| -------------- | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = df.to_json({ download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = df.to_json({
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON  and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ fileName: "test_out.json" });
-```
diff --git a/api-reference-v1-stable/dataframe/dataframe.values.md b/api-reference-v1-stable/dataframe/dataframe.values.md
deleted file mode 100644
index 6b7ea1d..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.values.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Return a the JavaScript array representation of the DataFrame.
----
-
-# DataFrame.values
-
-danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-**       **return** Array**
-
-**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.  
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data)
-
-console.log(df.values)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  [ -20.1, 34, 20 ],
-  [ 30, -4, -20 ],
-  [ 47.3, 5, 30 ],
-  [ -20, 6, -40 ]
-]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/general-functions/README.md b/api-reference-v1-stable/general-functions/README.md
deleted file mode 100644
index 07815b0..0000000
--- a/api-reference-v1-stable/general-functions/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
----
-description: Top level functions that can be called from the Danfo namespace
----
-
-# General Functions
-
-### Data manipulations
-
-|                                       |                                                                                                 |
-| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
-| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
-| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
-| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
-
-### Data Processing/Normalization
-
-| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
-| ----------------------------------------- | ---------------------------------------------------------------------- |
-| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
-| [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
-| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
-
-### Top-level dealing with datetime
-
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
-| ------------------------------------ | --------------------------------------- |
-| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference-v1-stable/general-functions/danfo.concat.md b/api-reference-v1-stable/general-functions/danfo.concat.md
deleted file mode 100644
index 19c3d8e..0000000
--- a/api-reference-v1-stable/general-functions/danfo.concat.md
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Concatenate DataFrames and Series along an axis
----
-
-# danfo.concat
-
-danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
-| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Concatenate two DataFrames along column axis (1) **
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
-com_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two DataFrames along row axis (0) **
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two Series along row axis (0) **
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
diff --git a/api-reference-v1-stable/general-functions/danfo.date_range.md b/api-reference-v1-stable/general-functions/danfo.date_range.md
deleted file mode 100644
index 32d18b8..0000000
--- a/api-reference-v1-stable/general-functions/danfo.date_range.md
+++ /dev/null
@@ -1,111 +0,0 @@
----
-description: Return a fixed frequency Dates spread between start and end parameters.
----
-
-# danfo.date_range
-
-danfo.**date_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
-| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-        console.log(data);
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '2/1/2018, 12:00:00 AM',
-  '3/1/2018, 12:00:00 AM',
-  '4/1/2018, 12:00:00 AM',
-  '5/1/2018, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '1/1/2019, 12:00:00 AM',
-  '1/1/2020, 12:00:00 AM',
-  '1/1/2021, 12:00:00 AM',
-  '1/1/2022, 12:00:00 AM',
-  '1/1/2023, 12:00:00 AM',
-  '1/1/2024, 12:00:00 AM',
-  '1/1/2025, 12:00:00 AM',
-  '1/1/2026, 12:00:00 AM',
-  '1/1/2027, 12:00:00 AM',
-  '1/1/2028, 12:00:00 AM',
-  '1/1/2029, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.get_dummies.md b/api-reference-v1-stable/general-functions/danfo.get_dummies.md
deleted file mode 100644
index 793aa58..0000000
--- a/api-reference-v1-stable/general-functions/danfo.get_dummies.md
+++ /dev/null
@@ -1,188 +0,0 @@
----
-description: Convert categorical variable into dummy/indicator variables.
----
-
-# danfo.get_dummies
-
-danfo.**get_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
-| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
-| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
-| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
-let sf1 = new dfd.Series(datasf)
-
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert all categorical columns in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df)
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ fruits_pear       │ fruits_mango      │ ...               │ fruits_bean       │ Country_NG        │ Country_GH        │ Country_RU        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ 1                 │ 0                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 0                 │ 1                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ 0                 │ 0                 │ ...               │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 0                 │ 1                 │ ...               │ 0                 │ 0                 │ 0                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ 0                 │ 0                 │ ...               │ 1                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert a specific column in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Country           │ fruits_pear       │ fruits_mango      │ fruits_pawpaw     │ fruits_bean       ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ NG                │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ NG                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ GH                │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ RU                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ RU                │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.labelencoder.md b/api-reference-v1-stable/general-functions/danfo.labelencoder.md
deleted file mode 100644
index 12d57ee..0000000
--- a/api-reference-v1-stable/general-functions/danfo.labelencoder.md
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Encode target labels with value between 0 and n_classes-1.
----
-
-# danfo.LabelEncoder
-
-class danfo.**LabelEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n_classes -1. This is mostly used as a preprocessing step before most machine learning tasks. 
-
-The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method. 
-
-## **Examples**
-
-### **Label Encode values in a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = ["dog","cat","man","dog","cat","man","man","cat"]
-let series = new dfd.Series(data)
-
-let encode = new dfd.LabelEncoder()
-
-encode.fit(series)
-console.log(encode);
-
-let sf_enc = encode.transform(series.values)
-sf_enc.print()
-
-let new_sf = encode.transform(["dog","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╟───┼──────────────────────╢
-║ 5 │ 2                    ║
-╟───┼──────────────────────╢
-║ 6 │ 2                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with -1**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.LabelEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.merge.md b/api-reference-v1-stable/general-functions/danfo.merge.md
deleted file mode 100644
index 82a9a3d..0000000
--- a/api-reference-v1-stable/general-functions/danfo.merge.md
+++ /dev/null
@@ -1,453 +0,0 @@
----
-description: >-
-  Merge DataFrame or named Series objects with a database-style join.The join is
-  done on columns or indexes.
----
-
-# danfo.merge
-
-danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
-
-**Returns:**
-
-**       **return** DataFrame**
-
-## **Examples**
-
-**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
-
-danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
-
-For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
-
-### **Merging by a single key found in both axis**
-
-By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- //first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on column 'Key1'
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Inner Join/Merge by multiple keys found in both axis**
-
-Merging by two keys takes into consideration the keys appearing in both`left` and `right DataFrame.`
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", 'Key2'], how: "inner"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on two keys
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
-
-### Outer join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1"], how: "outer"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//First DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//After outer join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Left join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "left"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- After left join
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ NaN               │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Right join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "right"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after right join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ NaN               │ NaN               │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md b/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
deleted file mode 100644
index 06add63..0000000
--- a/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
+++ /dev/null
@@ -1,125 +0,0 @@
----
-description: Transform features by scaling each feature to a range of max and min values.
----
-
-# danfo.MinMaxScaler
-
-class danfo.**MinMaxScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
-
-This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
-
-The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method. 
-
-## **Examples**
-
-### Standardize DataFrame Object using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize Series Object Using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-let sf = df.iloc({columns: ["0"]})
-
-scaler.fit(sf)
-
-let df_enc = scaler.transform(sf)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- Shape: (3,1) 
-
-╔═══╤═══════════════════╗
-║   │ 0                 ║
-╟───┼───────────────────╢
-║ 0 │ 1                 ║
-╟───┼───────────────────╢
-║ 1 │ 0.19191919267...  ║
-╟───┼───────────────────╢
-║ 2 │ 0                 ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.onehotencoder.md b/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
deleted file mode 100644
index fdb8d4a..0000000
--- a/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Encode categorical features as a one-hot numeric array.
----
-
-# danfo.OneHotEncoder
-
-class danfo.**OneHotEncoder **\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
-
-danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks. 
-
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method. 
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","bean"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with 0s all through**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","woman", "cup"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get_dummies](danfo.get_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.standardscaler.md b/api-reference-v1-stable/general-functions/danfo.standardscaler.md
deleted file mode 100644
index 298d86e..0000000
--- a/api-reference-v1-stable/general-functions/danfo.standardscaler.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: Standardize features by removing the mean and scaling to unit variance.
----
-
-# danfo.StandardScaler
-
-class danfo.**StandScaler **\[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
-
-> z = (x - u) / s
-
-where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
-
-The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method. 
-
-## **Examples**
-
-### Standardize Series Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.StandardScaler()
-
-let sf = new dfd.Series([100,1000,2000, 3000])
-sf.print()
-
-scaler.fit(sf)
-
-let sf_enc = scaler.transform(sf)
-sf_enc.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 100                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1000                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 3 │ 3000                 ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1.1375757455825806  ║
-╟───┼──────────────────────╢
-║ 1 │ -0.4191068708896637  ║
-╟───┼──────────────────────╢
-║ 2 │ 0.37919193506240845  ║
-╟───┼──────────────────────╢
-║ 3 │ 1.1774907112121582   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize DataFrame Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.StandardScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 89, 12],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.to_datetime.md b/api-reference-v1-stable/general-functions/danfo.to_datetime.md
deleted file mode 100644
index 7012100..0000000
--- a/api-reference-v1-stable/general-functions/danfo.to_datetime.md
+++ /dev/null
@@ -1,141 +0,0 @@
----
-description: Converts an array of Date time string to Date object.
----
-
-# danfo.toDateTime
-
-danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type          | Description                                                                                                       | Default |
-| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
-| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-Converts a **Series** of Date strings to Date time and get time properties
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
-let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime(data)
-
-dt.month().print()
-dt.month_name().print()
-dt.weekdays().print()
-dt.day().print()
-dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
-//Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
-
-//string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
-
-//string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
-//Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference-v1-stable/groupby.md b/api-reference-v1-stable/groupby.md
deleted file mode 100644
index 1db2e52..0000000
--- a/api-reference-v1-stable/groupby.md
+++ /dev/null
@@ -1,122 +0,0 @@
----
-description: >-
-  GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby(),
-  danfo.Series.groupby()
----
-
-# Groupby
-
-### Indexing, iteration
-
-| [`GroupBy.__iter__`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.__iter__.html#pandas.core.groupby.GroupBy.__iter__)\(\) | Groupby iterator. |
-| :--- | :--- |
-| [`GroupBy.groups`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.groups.html#pandas.core.groupby.GroupBy.groups) | Dict {group name -&gt; group labels}. |
-| [`GroupBy.indices`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.indices.html#pandas.core.groupby.GroupBy.indices) | Dict {group name -&gt; group indices}. |
-| [`GroupBy.get_group`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.get_group.html#pandas.core.groupby.GroupBy.get_group)\(name\[, obj\]\) | Construct DataFrame from group with provided name. |
-
-| [`Grouper`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Grouper.html#pandas.Grouper)\(\*args, \*\*kwargs\) | A Grouper allows the user to specify a groupby instruction for an object. |
-| :--- | :--- |
-
-
-### Function application
-
-| [`GroupBy.apply`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.apply.html#pandas.core.groupby.GroupBy.apply)\(func, \*args, \*\*kwargs\) | Apply function func group-wise and combine the results together. |
-| :--- | :--- |
-| [`GroupBy.agg`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.agg.html#pandas.core.groupby.GroupBy.agg)\(func, \*args, \*\*kwargs\) |  |
-| [`SeriesGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.html#pandas.core.groupby.SeriesGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`DataFrameGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html#pandas.core.groupby.DataFrameGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`SeriesGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html#pandas.core.groupby.SeriesGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values |
-| [`DataFrameGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html#pandas.core.groupby.DataFrameGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values |
-| [`GroupBy.pipe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pipe.html#pandas.core.groupby.GroupBy.pipe)\(func, \*args, \*\*kwargs\) | Apply a function func with arguments to this GroupBy object and return the function’s result. |
-
-### Computations / descriptive stats
-
-| [`GroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.all.html#pandas.core.groupby.GroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`GroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.any.html#pandas.core.groupby.GroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
-| [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
-| [`GroupBy.last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.last.html#pandas.core.groupby.GroupBy.last)\(\[numeric\_only, min\_count\]\) | Compute last of group values. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max)\(\[numeric\_only, min\_count\]\) | Compute max of group values. |
-| [`GroupBy.mean`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean)\(\[numeric\_only\]\) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.median`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.median.html#pandas.core.groupby.GroupBy.median)\(\[numeric\_only\]\) | Compute median of groups, excluding missing values. |
-| [`GroupBy.min`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.min.html#pandas.core.groupby.GroupBy.min)\(\[numeric\_only, min\_count\]\) | Compute min of group values. |
-| [`GroupBy.ngroup`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ngroup.html#pandas.core.groupby.GroupBy.ngroup)\(\[ascending\]\) | Number each group from 0 to the number of groups - 1. |
-| [`GroupBy.nth`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.nth.html#pandas.core.groupby.GroupBy.nth)\(n\[, dropna\]\) | Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. |
-| [`GroupBy.ohlc`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ohlc.html#pandas.core.groupby.GroupBy.ohlc)\(\) | Compute open, high, low and close values of a group, excluding missing values. |
-| [`GroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pad.html#pandas.core.groupby.GroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.prod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.prod.html#pandas.core.groupby.GroupBy.prod)\(\[numeric\_only, min\_count\]\) | Compute prod of group values. |
-| [`GroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.rank.html#pandas.core.groupby.GroupBy.rank)\(\[method, ascending, na\_option, …\]\) | Provide the rank of values within each group. |
-| [`GroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pct_change.html#pandas.core.groupby.GroupBy.pct_change)\(\[periods, fill\_method, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`GroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.size.html#pandas.core.groupby.GroupBy.size)\(\) | Compute group sizes. |
-| [`GroupBy.sem`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sem.html#pandas.core.groupby.GroupBy.sem)\(\[ddof\]\) | Compute standard error of the mean of groups, excluding missing values. |
-| [`GroupBy.std`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.std.html#pandas.core.groupby.GroupBy.std)\(\[ddof\]\) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum)\(\[numeric\_only, min\_count\]\) | Compute sum of group values. |
-| [`GroupBy.var`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.var.html#pandas.core.groupby.GroupBy.var)\(\[ddof\]\) | Compute variance of groups, excluding missing values. |
-| [`GroupBy.tail`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.tail.html#pandas.core.groupby.GroupBy.tail)\(\[n\]\) | Return last n rows of each group. |
-
-The following methods are available in both `SeriesGroupBy` and `DataFrameGroupBy` objects, but may differ slightly, usually in that the `DataFrameGroupBy` version usually permits the specification of an axis argument, and often an argument indicating whether to restrict application to columns of a specific data type.
-
-| [`DataFrameGroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.all.html#pandas.core.groupby.DataFrameGroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`DataFrameGroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.any.html#pandas.core.groupby.DataFrameGroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`DataFrameGroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.backfill.html#pandas.core.groupby.DataFrameGroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.html#pandas.core.groupby.DataFrameGroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
-| [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
-| [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.fillna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.html#pandas.core.groupby.DataFrameGroupBy.fillna) | Fill NA/NaN values using the specified method. |
-| [`DataFrameGroupBy.filter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html#pandas.core.groupby.DataFrameGroupBy.filter)\(func\[, dropna\]\) | Return a copy of a DataFrame excluding filtered elements. |
-| [`DataFrameGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.hist.html#pandas.core.groupby.DataFrameGroupBy.hist) | Make a histogram of the DataFrame’s. |
-| [`DataFrameGroupBy.idxmax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.html#pandas.core.groupby.DataFrameGroupBy.idxmax) | Return index of first occurrence of maximum over requested axis. |
-| [`DataFrameGroupBy.idxmin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.html#pandas.core.groupby.DataFrameGroupBy.idxmin) | Return index of first occurrence of minimum over requested axis. |
-| [`DataFrameGroupBy.mad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mad.html#pandas.core.groupby.DataFrameGroupBy.mad) | Return the mean absolute deviation of the values for the requested axis. |
-| [`DataFrameGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html#pandas.core.groupby.DataFrameGroupBy.nunique)\(\[dropna\]\) | Return DataFrame with counts of unique elements in each position. |
-| [`DataFrameGroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pad.html#pandas.core.groupby.DataFrameGroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.html#pandas.core.groupby.DataFrameGroupBy.pct_change)\(\[periods, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`DataFrameGroupBy.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.plot.html#pandas.core.groupby.DataFrameGroupBy.plot) | Class implementing the .plot attribute for groupby objects. |
-| [`DataFrameGroupBy.quantile`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.html#pandas.core.groupby.DataFrameGroupBy.quantile)\(\[q, interpolation\]\) | Return group values at the given quantile, a la numpy.percentile. |
-| [`DataFrameGroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.rank.html#pandas.core.groupby.DataFrameGroupBy.rank)\(\[method, ascending, …\]\) | Provide the rank of values within each group. |
-| [`DataFrameGroupBy.resample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.resample.html#pandas.core.groupby.DataFrameGroupBy.resample)\(rule, \*args, \*\*kwargs\) | Provide resampling when using a TimeGrouper. |
-| [`DataFrameGroupBy.sample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.sample.html#pandas.core.groupby.DataFrameGroupBy.sample)\(\[n, frac, replace, …\]\) | Return a random sample of items from each group. |
-| [`DataFrameGroupBy.shift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.shift.html#pandas.core.groupby.DataFrameGroupBy.shift)\(\[periods, freq, …\]\) | Shift each group by periods observations. |
-| [`DataFrameGroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.size.html#pandas.core.groupby.DataFrameGroupBy.size)\(\) | Compute group sizes. |
-| [`DataFrameGroupBy.skew`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.skew.html#pandas.core.groupby.DataFrameGroupBy.skew) | Return unbiased skew over requested axis. |
-| [`DataFrameGroupBy.take`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.take.html#pandas.core.groupby.DataFrameGroupBy.take) | Return the elements in the given _positional_ indices along an axis. |
-| [`DataFrameGroupBy.tshift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.tshift.html#pandas.core.groupby.DataFrameGroupBy.tshift) | \(DEPRECATED\) Shift the time index, using the index’s frequency if available. |
-
-The following methods are available only for `SeriesGroupBy` objects.
-
-| [`SeriesGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html#pandas.core.groupby.SeriesGroupBy.hist) | Draw histogram of the input series using matplotlib. |
-| :--- | :--- |
-| [`SeriesGroupBy.nlargest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.html#pandas.core.groupby.SeriesGroupBy.nlargest) | Return the largest n elements. |
-| [`SeriesGroupBy.nsmallest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.html#pandas.core.groupby.SeriesGroupBy.nsmallest) | Return the smallest n elements. |
-| [`SeriesGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nunique.html#pandas.core.groupby.SeriesGroupBy.nunique)\(\[dropna\]\) | Return number of unique elements in the group. |
-| [`SeriesGroupBy.unique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html#pandas.core.groupby.SeriesGroupBy.unique) | Return unique values of Series object. |
-| [`SeriesGroupBy.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.html#pandas.core.groupby.SeriesGroupBy.value_counts)\(\[normalize, …\]\) |  |
-| [`SeriesGroupBy.is_monotonic_increasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing) | Alias for is\_monotonic. |
-| [`SeriesGroupBy.is_monotonic_decreasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing) | Return boolean if values in the object are monotonic\_decreasing. |
-
-The following methods are available only for `DataFrameGroupBy` objects.
-
-| [`DataFrameGroupBy.corrwith`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html#pandas.core.groupby.DataFrameGroupBy.corrwith) | Compute pairwise correlation. |
-| :--- | :--- |
-| [`DataFrameGroupBy.boxplot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html#pandas.core.groupby.DataFrameGroupBy.boxplot)\(\[subplots, column, …\]\) | Make box plots from DataFrameGroupBy data. |
-
diff --git a/api-reference-v1-stable/groupby/README.md b/api-reference-v1-stable/groupby/README.md
deleted file mode 100644
index 9a1db65..0000000
--- a/api-reference-v1-stable/groupby/README.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby()'
----
-
-# Groupby
-
-### Indexing, iteration
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
-
-### Function application
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.agg`](groupby.agg.md) | Aggregate using one or more operations over the specified axis. |
-
-### Computations / descriptive stats
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
-| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
-| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
-| [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
-| [`GroupBy.std`](groupby.std.md) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum) | Compute sum of group values. |
-| [`GroupBy.var`](groupby.var.md) | Compute variance of groups, excluding missing values. |
-
diff --git a/api-reference-v1-stable/groupby/groupby.agg.md b/api-reference-v1-stable/groupby/groupby.agg.md
deleted file mode 100644
index f9d6a5f..0000000
--- a/api-reference-v1-stable/groupby/groupby.agg.md
+++ /dev/null
@@ -1,93 +0,0 @@
----
-description: Obtain data aggregate per groups for each column
----
-
-# Groupby.agg
-
-> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
-
-| Parameters | Type   | Description                                                                                               | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
-| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
-
-**Return: **DataFrame
-
-**Examples**
-
-Using mean and sum aggregate
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Mean and Sum aggregate on dataframe groupby two column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/groupby/groupby.apply.md b/api-reference-v1-stable/groupby/groupby.apply.md
deleted file mode 100644
index 2150a21..0000000
--- a/api-reference-v1-stable/groupby/groupby.apply.md
+++ /dev/null
@@ -1,84 +0,0 @@
----
-description: Apply custom aggregate function to grouped data
----
-
-# Groupby.apply
-
-danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function \| function to be applied to grouped data | Undefined |  |
-
-**Returns:**
-
-       ****return **DataFrame**
-
-## **Examples**
-
-Using apply to create a custom function that subtract the minimum value of each grouped data from each of its values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-      'A': ['foo', 'bar', 'foo', 'bar',
-
-        'foo', 'bar', 'foo', 'foo'],
-
-      'B': ['one', 'one', 'two', 'three',
-
-        'two', 'two', 'one', 'three'],
-
-      'C': [1, 3, 2, 4, 5, 2, 6, 7],
-
-      'D': [3, 2, 4, 1, 5, 6, 7, 8]
-    };
-let df = new dfd.DataFrame(data);
-let group_df = df.groupby(["A", "B"]);
-
-const subMin = (x) => {
-  return x.sub(x.min());
-};
-
-group_df.apply(subMin).print();
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_apply           │ D_apply           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 5                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 3                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-\*\*\*\*
diff --git a/api-reference-v1-stable/groupby/groupby.col.md b/api-reference-v1-stable/groupby/groupby.col.md
deleted file mode 100644
index 02e7cdd..0000000
--- a/api-reference-v1-stable/groupby/groupby.col.md
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: Obtain the column(s) per groups
----
-
-# Groupby.col
-
-> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| col\_names | Array | List of column |  |
-
-Returns: Groupby Data structure
-
-Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
-
-**Examples**
-
-Obtain a column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"])
-
-//for more coumns
-grp.col(["C","D"])
-```
-{% endtab %}
-{% endtabs %}
-
-Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
-
-```text
-//it returns the groupby data structure
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: {
-    foo: [ [Array], [Array], [Array], [Array], [Array] ],
-    bar: [ [Array], [Array], [Array] ]
-  },
-  data: [
-    [ 'foo', 'one', 1, 3 ],
-    [ 'bar', 'one', 3, 2 ],
-    [ 'foo', 'two', 2, 4 ],
-    [ 'bar', 'three', 4, 1 ],
-    [ 'foo', 'two', 5, 5 ],
-    [ 'bar', 'two', 2, 6 ],
-    [ 'foo', 'one', 6, 7 ],
-    [ 'foo', 'three', 7, 8 ]
-  ],
-  column_name: [ 'A', 'B', 'C', 'D' ],
-  data_tensors: {
-    foo: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    },
-    bar: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    }
-  },
-  group_col_name: [ 'C' ],
-  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
-}
-```
-
-
-
diff --git a/api-reference-v1-stable/groupby/groupby.count.md b/api-reference-v1-stable/groupby/groupby.count.md
deleted file mode 100644
index 36733be..0000000
--- a/api-reference-v1-stable/groupby/groupby.count.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Count the occurrence of values in columns per groups
----
-
-# Groupby.count
-
-> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).count().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.cummax.md b/api-reference-v1-stable/groupby/groupby.cummax.md
deleted file mode 100644
index 8231a61..0000000
--- a/api-reference-v1-stable/groupby/groupby.cummax.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative max per groups for each column
----
-
-# Groupby.cummax
-
-> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative max of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 4                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummax          │ D_cummax          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 4                 │ 6                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 4                 │ 6                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cummin.md b/api-reference-v1-stable/groupby/groupby.cummin.md
deleted file mode 100644
index 7fd9ed6..0000000
--- a/api-reference-v1-stable/groupby/groupby.cummin.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative minimum per groups for each column
----
-
-# Groupby.cummin
-
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative min of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummin          │ D_cummin          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 2                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 2                 │ 1                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cumprod.md b/api-reference-v1-stable/groupby/groupby.cumprod.md
deleted file mode 100644
index af46123..0000000
--- a/api-reference-v1-stable/groupby/groupby.cumprod.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cumulative product per group for each column
----
-
-# Groupby.cumprod
-
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative product of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                │ 420               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               │ 3360              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 24                │ 12                ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 24                │ 12                ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 21                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cumsum.md b/api-reference-v1-stable/groupby/groupby.cumsum.md
deleted file mode 100644
index 3b2b0e6..0000000
--- a/api-reference-v1-stable/groupby/groupby.cumsum.md
+++ /dev/null
@@ -1,259 +0,0 @@
----
-description: Obtain the cumulative sum per groups for each column
----
-
-# Groupby.cumsum
-
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative sum of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                │ 19                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                │ 27                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 9                 │ 9                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 9                 │ 9                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.get_groups.md b/api-reference-v1-stable/groupby/groupby.get_groups.md
deleted file mode 100644
index 0cdf912..0000000
--- a/api-reference-v1-stable/groupby/groupby.get_groups.md
+++ /dev/null
@@ -1,129 +0,0 @@
----
-description: Obtain the data for each element of the groupby column
----
-
-# Groupby.get\_groups
-
-> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
-
-| Parameters | Type | Description | default |
-| :--- | :--- | :--- | :--- |
-| key | Array | element of the groupby column |  |
-
-**Returns**: DataFrame
-
-**Example**
-
-Group the dataframe by column A and obtain the group belonging to the values in column A
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-
-grp.get_groups(["foo"]).print()
-
-grp.get_groups(["bar"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get groups for key "foo"
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get groups for key "bar"
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ three             │ 4                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-
-grp.get_groups(["foo","one"]).print()
-
-grp.get_groups(["bar","one"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get_groups(["foo","one"]
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get_groups(["bar","one"])
-
-
- Shape: (1,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.max.md b/api-reference-v1-stable/groupby/groupby.max.md
deleted file mode 100644
index 6bebae5..0000000
--- a/api-reference-v1-stable/groupby/groupby.max.md
+++ /dev/null
@@ -1,170 +0,0 @@
----
-description: Obtain the maximum value of columns per groups
----
-
-# Groupby.max
-
-> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
-
-**Parameters: **None
-
-**Returns**: DataFrame
-
-**Example**
-
-Obtain the maximum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/groupby/groupby.mean.md b/api-reference-v1-stable/groupby/groupby.mean.md
deleted file mode 100644
index add6958..0000000
--- a/api-reference-v1-stable/groupby/groupby.mean.md
+++ /dev/null
@@ -1,173 +0,0 @@
----
-description: Obtain the mean per groups for each column(s)
----
-
-# Groupby.mean
-
-> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the mean of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 5.40000009536...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.min.md b/api-reference-v1-stable/groupby/groupby.min.md
deleted file mode 100644
index 0151e64..0000000
--- a/api-reference-v1-stable/groupby/groupby.min.md
+++ /dev/null
@@ -1,171 +0,0 @@
----
-description: Obtain the minimum value per groups for a coumn(s)
----
-
-# Groupby.min
-
-> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the minimum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the minimum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.std.md b/api-reference-v1-stable/groupby/groupby.std.md
deleted file mode 100644
index c792a8e..0000000
--- a/api-reference-v1-stable/groupby/groupby.std.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the standard deviation per groups for specified columns
----
-
-# Groupby.std
-
-> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the standard deviation of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  │ 2.07364413533...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 2.64575131106...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).std().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  │ 2.82842712474...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  │ 0.70710678118...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.sum.md b/api-reference-v1-stable/groupby/groupby.sum.md
deleted file mode 100644
index f6f2900..0000000
--- a/api-reference-v1-stable/groupby/groupby.sum.md
+++ /dev/null
@@ -1,172 +0,0 @@
----
-description: Obtain the sum per groups for columns
----
-
-# Groupby.sum
-
-> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the sum of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.var.md b/api-reference-v1-stable/groupby/groupby.var.md
deleted file mode 100644
index 373109f..0000000
--- a/api-reference-v1-stable/groupby/groupby.var.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the variance per groups for a specified column
----
-
-# Groupby.var
-
-> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               │ 4.3               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).var().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               │ 0.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/input-output/README.md b/api-reference-v1-stable/input-output/README.md
deleted file mode 100644
index e86d5de..0000000
--- a/api-reference-v1-stable/input-output/README.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
----
-
-# Input/Output
-
-## CSV
-
-| \`\`                                |                                                          |
-| ----------------------------------- | -------------------------------------------------------- |
-| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
-| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
-| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
-| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
-| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
-
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference-v1-stable/input-output/danfo.read_csv.md b/api-reference-v1-stable/input-output/danfo.read_csv.md
deleted file mode 100644
index 79644f3..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_csv.md
+++ /dev/null
@@ -1,135 +0,0 @@
----
-description: >-
-  Reads a comma-separated values (CSV) file into DataFrame. Also supports the
-  reading of CSV files in chunks.
----
-
-# danfo.read_csv
-
-> danfo.**read_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
-
-| **Parameters** | Type                         | Description                                                                                                                                                                                                                  | Default                                                                                                           |
-| -------------- | ---------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
-| _**source**_   | File object, File path, URL  | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path. </p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported. </p> |                                                                                                                   |
-| **configs**:   |  object, optional            | <p></p><p>Supports all Papaparse config parameters. See <a href="https://www.papaparse.com/docs#config">https://www.papaparse.com/docs#config</a>. </p><p><strong></strong></p>                                              | <p><strong>{</strong></p><p><strong>dynamicTyping: </strong>true,</p><p><strong>header: </strong>true</p><p>}</p> |
-
-**Returns:**
-
-**     **_**Promise**_. Resolves to DataFrame
-
-The **read_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser. 
-
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading files from a URL**
-
-By specifying a valid URL, you can load CSV files from any location into Danfo**'**s data structure:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_excel.md b/api-reference-v1-stable/input-output/danfo.read_excel.md
deleted file mode 100644
index 459aa30..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_excel.md
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Reads an excel file into DataFrame.
----
-
-# danfo.read_excel
-
-> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
-| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
-
-> **Returns:**
->
-> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
-
-### Example
-
-The **read_excel** method can read excel files saved on a local disk, or over the internet.
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-const path = require("path")
-
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
-
-async function load_process_data() {
-    let df = await dfd.read_excel(local_xcel)
-    df.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
-        dfd.read_excel(remote_url).then(df => {
-            df.head().print()
-        })
-
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_json.md b/api-reference-v1-stable/input-output/danfo.read_json.md
deleted file mode 100644
index 85412ea..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_json.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: Reads a JSON file into DataFrame.
----
-
-# danfo.read_json
-
-> danfo.**read_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
-
-| **Parameters** | Type                                            | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                         |
-| -------------- | ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
-| _**source**_   | Input file object, string file** **path or URL  | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p></p><p>An input file object is also supported in the browser. </p>                                                                                                                                                                                                              |                                                 |
-| options        | Object                                          | <p>Configuration options for reading JSON files. Supported options:</p><p> {<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>} </p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
-
-**Returns:**
-
-**     **_**Promise**_. Resolves to DataFrame
-
-The **read_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
-
-### **Reading JSON files from local disk**
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.to_csv.md b/api-reference-v1-stable/input-output/danfo.to_csv.md
deleted file mode 100644
index 5bd4105..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_csv.md
+++ /dev/null
@@ -1,115 +0,0 @@
----
-description: Writes a DataFrame or Series to CSV format.
----
-
-# danfo.to_csv
-
-> danfo.**to_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
-
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | Default                                                                            |
-| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |                                                                                    |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment. </p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p> <strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = dfd.to_csv(df, { download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in Client-side lib
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
-
-```javascript
-const dfd = require("danfojs")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { fileName: "testOut.csv", download: true});
-```
diff --git a/api-reference-v1-stable/input-output/danfo.to_excel.md b/api-reference-v1-stable/input-output/danfo.to_excel.md
deleted file mode 100644
index 1fe1adf..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_excel.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# danfo.to_excel
-
-> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in  Client-side lib
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { fileName: "testOut.xlsx"});
-```
diff --git a/api-reference-v1-stable/input-output/danfo.to_json.md b/api-reference-v1-stable/input-output/danfo.to_json.md
deleted file mode 100644
index 80eaa04..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_json.md
+++ /dev/null
@@ -1,124 +0,0 @@
-# danfo.to_json
-
-> danfo.**to_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                         |
-| -------------- | ------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment. <br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = dfd.to_json(df, { download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = dfd.to_json(df, {
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON  and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { fileName: "test_out.json" });
-```
diff --git a/api-reference-v1-stable/input-output/read.md b/api-reference-v1-stable/input-output/read.md
deleted file mode 100644
index c38778e..0000000
--- a/api-reference-v1-stable/input-output/read.md
+++ /dev/null
@@ -1,138 +0,0 @@
----
-description: >-
-  The generic read function loads a tabular data using the Frictionless
-  specification.
----
-
-# read
-
-> danfo.**read**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">A path to the file/resources. It can be a local file, a URL to tabular
-        data (CSV, EXCEL) or Datahub.io Data Resource.</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>configs</b>
-      </td>
-      <td style="text-align:left">object</td>
-      <td style="text-align:left">
-        <p></p>
-        <p>Configuration options. Supported params are:</p>
-        <p><b>data_num</b> (Defaults =&gt; 0): The specific dataset to load, when
-          reading data from a datapackage.json,</p>
-        <p><b>header</b> (Defaults =&gt; true): Whether the dataset contains a header
-          or not.</p>
-        <p><b>sheet</b> (Defaults =&gt; 0): Number of the excel sheet which u want
-          to load.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
-
-**Returns:**
-
-     ****_**Promise**_. Resolves to DataFrame
-
-The **read** function uses [frictionless.js](https://github.com/frictionlessdata/frictionless-js) underhood.[`frictionless.js`](https://github.com/frictionlessdata/frictionless-js) is a lightweight, standardized "stream-plus-metadata" interface for accessing files and datasets, especially tabular ones \(CSV, Excel\). It follows the [Frictionless spec](https://frictionlessdata.io/specs/)
-
-> ### **Note**: The `read` method is only available in danfojs-node at the moment.
-
-### Read a CSV file
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let df = await dfd.read("file.csv")
-    let sample = await df.sample(10)
-    sample.print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### **Loading Files from URL**
-
-By specifying a valid URL, you can load CSV/EXCEL file:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- let df = await dfd.read("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
- df.head().print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### Loading Data from a Data Package Descriptor
-
-You can load data from a frictionless data package [descriptor](https://specs.frictionlessdata.io/data-package/#descriptor). A data package descriptor is a central file in a Data Package. It is a JSON file that provides:
-
-* General metadata such as the package’s title, license, publisher etc
-* A list of the data “resources” that make up the package including their location on disk or online and other relevant information \(including, possibly, schema information about these data resources in a structured form\)
-
-For instance, in the example below, we load the first resource in the [Natural Gas dataset](https://datahub.io/core/natural-gas) from datahub.io. 
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- const package_url =
-    "https://datahub.io/core/natural-gas/datapackage.json";
-
-  const df = await dfd.read(package_url, { data_num: 1 });
-  df.head().print();
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Date              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1997-01-07        │ 3.81999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1997-01-08        │ 3.79999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 1997-01-09        │ 3.60999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 1997-01-10        │ 3.91999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ 1997-01-13        │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference-v1-stable/plotting/README.md b/api-reference-v1-stable/plotting/README.md
deleted file mode 100644
index 93161e3..0000000
--- a/api-reference-v1-stable/plotting/README.md
+++ /dev/null
@@ -1,19 +0,0 @@
----
-description: >-
-  DataFrame and Series have inbuilt support for plotting using Plotly's backend.
-  All customization can be done using Plotly's parameter passed to the config
-  object.
----
-
-# Plotting
-
-* [Line Charts](line-charts.md)
-* [Bar Charts](bar-charts.md)
-* [Scatter Plots](scatter-plots.md)
-* [Histograms](histograms.md)
-* [Pie Charts](pie-charts.md)
-* [Tables](tables.md)
-* [Box Plots](box-plots.md)
-* [Violin Plots](violin-plots.md)
-* [Timeseries Plots](timeseries-plots.md)
-
diff --git a/api-reference-v1-stable/plotting/bar-charts.md b/api-reference-v1-stable/plotting/bar-charts.md
deleted file mode 100644
index aee82cd..0000000
--- a/api-reference-v1-stable/plotting/bar-charts.md
+++ /dev/null
@@ -1,78 +0,0 @@
----
-description: Makes a vertical bar plot.
----
-
-# Bar Charts
-
-A bar plot presents categorical data with rectangular bars with lengths proportional to the values that they represent.
-
-## Examples
-
-The **bar** plot is exposed by the .**plot\(\)** function called on a Series or DataFrame. The **.plot\(\)** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter. 
-
-### Bar plot on Series
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-6-.png)
-
-### Bar plot on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-7-.png)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
-
diff --git a/api-reference-v1-stable/plotting/box-plots.md b/api-reference-v1-stable/plotting/box-plots.md
deleted file mode 100644
index 8a6e490..0000000
--- a/api-reference-v1-stable/plotting/box-plots.md
+++ /dev/null
@@ -1,122 +0,0 @@
----
-description: Make a box plot from DataFrame columns.
----
-
-# Box Plots
-
-Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").box()
-         
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-23-.png)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").box()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am%20%281%29%20%281%29.png)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").box({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-24-.png)
-
-
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
-
diff --git a/api-reference-v1-stable/plotting/configuring-your-plots.md b/api-reference-v1-stable/plotting/configuring-your-plots.md
deleted file mode 100644
index 7d96b4d..0000000
--- a/api-reference-v1-stable/plotting/configuring-your-plots.md
+++ /dev/null
@@ -1,69 +0,0 @@
-# Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name. 
-
-For example in the following code, we show how to set some basic configuration as well as layout for a line plot. 
-
-```markup
-<!doctype html>
-<html>
-
-<head>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-
-</head>
-
-<body>
-
-    <div id="mydiv"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-
-                var layout = {
-                    title: {
-                        text: "Time series plot of AAPL open and close points",
-                        x: 0
-                    },
-                    legend: {
-                        bgcolor: "#fcba03",
-                        bordercolor: "#444",
-                        borderwidth: 1,
-                        font: { family: "Arial", size: 10, color: "#fff" }
-                    },
-                    width: 1000,
-                    yaxis: {
-                        title: 'AAPL open points',
-                    },
-                    xaxis: {
-                        title: 'Date',
-                    }
-                }
-                var config = {
-                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
-                    displayModeBar: true,
-                    modeBarButtonsToAdd: [{ //Add custom button
-                        name: 'about',
-                        icon: Plotly.Icons.question,
-                        click: function (gd) {
-                            alert('An example of configuring Danfojs Plots')
-                        }
-                    }],
-                    layout //layout object
-                }
-
-                df.plot("mydiv").line(config)
-            })
-    </script>
-</body>
-
-</html>
-```
-
-![](../../.gitbook/assets/newplot-32-.png)
-
diff --git a/api-reference-v1-stable/plotting/histograms.md b/api-reference-v1-stable/plotting/histograms.md
deleted file mode 100644
index 12497e3..0000000
--- a/api-reference-v1-stable/plotting/histograms.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: 'Draw one histogram of the DataFrame’s columns, or single histogram for Series'
----
-
-# Histograms
-
-A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
-
-## Examples
-
-### Histogram of a Column in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df['Age'].plot("plot_div").hist()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-10-.png)
-
-### Customized Histogram plots on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                var layout = {
-                    bargap: 0,
-                    bargroupgap: 0.1,
-                    barmode: "stack",
-                    title: "Histogram of two columns stacked",
-                    xaxis: { title: "Value" },
-                    yaxis: { title: "Count" }
-                }
-
-                sub_df = df.loc({ columns: ["Fare", "Age"] })
-                sub_df.plot("plot_div").hist({layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-20-.png)
-
-### Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly. 
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
-
-```javascript
-var layout = {
-    title: 'A sample plot',
-    xaxis: {
-        title: 'X',
-    },
-    yaxis: {
-        title: 'Y',
-    }
-}
-
-df.plot("div_tag").histogram({layout: layout})
-```
-
-{% hint style="info" %}
-For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
-{% endhint %}
-
diff --git a/api-reference-v1-stable/plotting/line-charts.md b/api-reference-v1-stable/plotting/line-charts.md
deleted file mode 100644
index 73326f4..0000000
--- a/api-reference-v1-stable/plotting/line-charts.md
+++ /dev/null
@@ -1,112 +0,0 @@
----
-description: >-
-  Plot Series or DataFrame as lines. This function is useful to plot lines using
-  DataFrame’s values as coordinates.
----
-
-# Line Charts
-
-## Examples
-
-### Basic Line plot on Series
-
-The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter. 
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-4-.png)
-
-### Line plots on DataFrame
-
-The example below shows the plot of column values against a common x-axis (index)
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](<../../.gitbook/assets/newplot-2- (1) (1) (2) (2).png>)
-
-The example below shows how to plot two columns in a DataFrame against each other.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line({x: 'pig', y: 'horse'})
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-3-.png)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/pie-charts.md b/api-reference-v1-stable/plotting/pie-charts.md
deleted file mode 100644
index c355bcb..0000000
--- a/api-reference-v1-stable/plotting/pie-charts.md
+++ /dev/null
@@ -1,127 +0,0 @@
----
-description: Generate a pie plot.
----
-
-# Pie Charts
-
-A pie plot is a proportional representation of the numerical data in a column
-
-## Examples
-
-### Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Location: ["NG", "GH", "SA"],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-        
-        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-12-.png)
-
-### Multiple Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-        df.plot("plot_div").pie({ labels: "Type"})
-
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-21-.png)
-
-### Configure Position of Pie Charts
-
-If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie. 
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-       df.plot("plot_div").pie({ labels: "Type",
-                                 grid: { rows: 2, columns: 2 },
-                                 row_pos: [0, 1], col_pos: [0, 1] })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-22-.png)
-
-{% hint style="info" %}
-For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
-{% endhint %}
-
diff --git a/api-reference-v1-stable/plotting/scatter-plots.md b/api-reference-v1-stable/plotting/scatter-plots.md
deleted file mode 100644
index 739a49f..0000000
--- a/api-reference-v1-stable/plotting/scatter-plots.md
+++ /dev/null
@@ -1,91 +0,0 @@
----
-description: Create a scatter plot of columns in a DataFrame
----
-
-# Scatter Plots
-
-The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables. 
-
-## Examples
-
-### Scatter Plots on Columns in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-8-%20%281%29.png)
-
-### More Examples
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
-                sub_df.plot("plot_div").scatter()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-19-.png)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
-
diff --git a/api-reference-v1-stable/plotting/tables.md b/api-reference-v1-stable/plotting/tables.md
deleted file mode 100644
index efa1fbb..0000000
--- a/api-reference-v1-stable/plotting/tables.md
+++ /dev/null
@@ -1,97 +0,0 @@
----
-description: Turn DataFrame/Series in D3.js-based tables
----
-
-# Tables
-
-## Examples
-
-### Create Interactive Tables from DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").table()
-              
-              
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png)
-
-### Configure the header and cell of a table
-
-To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass. 
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                header_style = {
-                    align: "center",
-                    fill: { color: ['gray'] },
-                    font: { family: "Arial", size: 15, color: "white" }
-                }
-                cell_style = {
-                    align: ["center"],
-                    line: { color: "black", width: 1 }
-                }
-
-                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-
-```
-
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png)
-
diff --git a/api-reference-v1-stable/plotting/timeseries-plots.md b/api-reference-v1-stable/plotting/timeseries-plots.md
deleted file mode 100644
index 7bbb089..0000000
--- a/api-reference-v1-stable/plotting/timeseries-plots.md
+++ /dev/null
@@ -1,58 +0,0 @@
----
-description: Timeseries plot are based on date index
----
-
-# Timeseries Plots
-
-## Examples
-
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                var layout = {
-                    title: 'A financial charts',
-                    xaxis: {
-                        title: 'Date',
-                    },
-                    yaxis: {
-                        title: 'Count',
-                    }
-                }
-
-                new_df = df.set_index({ column: "Date" })
-                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/violin-plots.md b/api-reference-v1-stable/plotting/violin-plots.md
deleted file mode 100644
index e0c1c8f..0000000
--- a/api-reference-v1-stable/plotting/violin-plots.md
+++ /dev/null
@@ -1,116 +0,0 @@
-# Violin Plots
-
-Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also [Box Plot](box-plots.md)
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").violin()
-         
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-25-.png)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").violin()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-26-.png)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").violin({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](../../.gitbook/assets/newplot-27-.png)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
-
diff --git a/api-reference-v1-stable/series/README.md b/api-reference-v1-stable/series/README.md
deleted file mode 100644
index 7eefaa7..0000000
--- a/api-reference-v1-stable/series/README.md
+++ /dev/null
@@ -1,182 +0,0 @@
----
-description: One-dimensional ndarray with axis labels (including time series).
----
-
-# Series
-
-> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ],** index: **\[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
-
-### Attributes
-
-| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
-| --------------------------------- | ------------------------------------------- |
-
-| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
-| ----------------------------------- | ---------------------------------------------------------------- |
-| [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
-| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
-| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
-| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
-| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
-
-### Conversion
-
-| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
-| --------------------------------------------------- | ---------------------------------------------- |
-| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
-
-### Indexing, iteration
-
-|                                                         |                                                                    |
-| ------------------------------------------------------- | ------------------------------------------------------------------ |
-| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
-| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
-
-### Binary operator functions
-
-| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
-| --------------------------------- | --------------------------------------------------------------------------------------- |
-| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
-| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
-| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
-| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
-| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
-| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
-| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
-| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
-| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
-| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
-| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
-| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
-| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
-
-### Function application & GroupBy
-
-| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
-| --------------------------------- | ------------------------------------------------------- |
-| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
-
-### Computations / descriptive stats
-
-| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
-| ----------------------------------------------------------- | ---------------------------------------------------------------- |
-| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
-| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
-| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
-| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
-| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
-| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
-| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
-| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
-| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
-| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
-| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
-| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
-| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
-| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
-| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
-| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
-| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
-| [`Series.value_counts`](series.value_counts.md)             | Return a Series containing counts of unique values.              |
-
-### Reindexing / selection / label manipulation
-
-|                                                       |                                                          |
-| ----------------------------------------------------- | -------------------------------------------------------- |
-| [`Series.drop_duplicates`](series.drop_duplicates.md) | Return Series with duplicate values removed.             |
-| [`Series.head`](series.head.md)                       | Return the first n rows.                                 |
-| [`Series.reset_index`](series.reset_index.md)         | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md)                   | Return a random sample of items from an axis of object.  |
-| [`Series.tail`](series.tail.md)                       | Return the last n rows.                                  |
-
-### Missing data handling
-
-|                                       |                                                  |
-| ------------------------------------- | ------------------------------------------------ |
-| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
-| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
-| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
-| [`Series.replace`](series.replace.md) | Replace values given in to_replace with value.   |
-
-### Reshaping, sorting
-
-| [`Series.argsort`](series.argsort.md)         | Return the integer indices that would sort the Series values. |
-| --------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.argmin`](series.argmin.md)           | Return int position of the smallest value in the Series.      |
-| [`Series.argmax`](series.argmax.md)           | Return int position of the largest value in the Series.       |
-| [`Series.sort_values`](series.sort_values.md) | Sort by the values.                                           |
-
-### Accessors
-
-Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
-
-| Data Type | Accessor |
-| --------- | -------- |
-| Datetime  | dt       |
-| String    | str      |
-
-#### Datetimelike properties
-
-`Series.dt` can be used to access the values of the series as datetime and return several properties. These can be accessed like `Series.dt.<property>`.
-
-**Datetime methods**
-
-|                                                   |                                                                    |
-| ------------------------------------------------- | ------------------------------------------------------------------ |
-| [`Series.dt.year`](series.dt.year.md)             | The year of the datetime.                                          |
-| [`Series.dt.month`](series.dt.month.md)           | The month as January=1, December=12.                               |
-| [`Series.dt.day`](series.dt.day.md)               | The day of the datetime.                                           |
-| [`Series.dt.hour`](series.dt.hour.md)             | The hours of the datetime.                                         |
-| [`Series.dt.minute`](series.dt.minute.md)         | The minutes of the datetime.                                       |
-| [`Series.dt.second`](series.dt.second.md)         | The seconds of the datetime.                                       |
-| [`Series.dt.weekdays`](series.dt.weekdays.md)     | The day of the week with Monday=0, Sunday=6.                       |
-| [`Series.dt.month_name`](series.dt.month_name.md) | Return the month names of the DateTimeIndex with specified locale. |
-
-#### String handling
-
-`Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
-
-| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
-| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
-| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
-| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
-| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
-| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
-| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
-| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
-| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
-| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
-| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
-| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
-| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
-| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
-| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
-| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
-| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
-| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
-| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
-| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
-| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                       |                                                               |
-| ----------------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
-| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                                       |                                                      |
-| ----------------------------------------------------- | ---------------------------------------------------- |
-| [`Series.to_csv`](../dataframe/dataframe.to_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`Series.to_json`](../dataframe/dataframe.to_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/series/creating-a-series.md b/api-reference-v1-stable/series/creating-a-series.md
deleted file mode 100644
index 3c8e4ba..0000000
--- a/api-reference-v1-stable/series/creating-a-series.md
+++ /dev/null
@@ -1,210 +0,0 @@
-# Creating a Series
-
-new danfo.**Series**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
-
-### Creating a Series from an object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```javascript
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series from an array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = ["bval1", "bval2", "bval3", "bval4"]
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series and specifying index and dtypes
-
-You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
-
-> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2, 3, 4, 5];
-let index = ["a", "b", "c", "d", "e"];
-let dtypes = ["int32",]
-
-let df = new Series(data1, { index, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╚═══╧═══╝
-```
-
-### Creating a Series and specifying memory mode
-
-To use less space on Series creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2.3, 3, 4, 5, "girl"];
-
-let df = new Series(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the Series.
-{% endhint %}
-
diff --git a/api-reference-v1-stable/series/danfo.series.add.md b/api-reference-v1-stable/series/danfo.series.add.md
deleted file mode 100644
index 7cd6150..0000000
--- a/api-reference-v1-stable/series/danfo.series.add.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: 'Return Addition of series and other, element-wise (binary operator add).'
----
-
-# danfo.Series.add
-
-Return Addition of series and other, element-wise \(binary operator add\).
-
-            **parameter:** {other} Series or Number to add
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let data2 = [30, 40, 39, 1, 2, 1]
-let sf = new Series(data)
-let sf2 = new Series(data2)
-sf.add(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.apply.md b/api-reference-v1-stable/series/danfo.series.apply.md
deleted file mode 100644
index d59a99c..0000000
--- a/api-reference-v1-stable/series/danfo.series.apply.md
+++ /dev/null
@@ -1,63 +0,0 @@
----
-description: invoke a function on Series Value
----
-
-# danfo.Series.apply
-
-> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function | Function \(can be anonymous\) to apply |  |
-
-**Returns:**
-
-       ****return **Series**
-
-\*\*\*\*
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply1.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_apply2.png)
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.copy.md b/api-reference-v1-stable/series/danfo.series.copy.md
deleted file mode 100644
index c610c04..0000000
--- a/api-reference-v1-stable/series/danfo.series.copy.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.copy
-
-Make a new copy of Series
-
-
-
-**parameter:** 
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf_copy = sf.copy()
-
-
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf = sf.set_index({ "index": ["a", "b", "c", "d"] })
-sf_copy = sf.copy()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.count.md b/api-reference-v1-stable/series/danfo.series.count.md
deleted file mode 100644
index 50a5789..0000000
--- a/api-reference-v1-stable/series/danfo.series.count.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.count
-
-Return number of non-NA/null observations in the Series.
-
-This is equivalent to the method numpy.sum
-
-            **parameter:** 
-
-            **return:** {Number}, sum of values in Series
-
-**Example**
-
-```javascript
-let data = ["boy", "gitl", "woman", NaN]
-let sf = new Series(data)
-sf.count()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.describe.md b/api-reference-v1-stable/series/danfo.series.describe.md
deleted file mode 100644
index 184dbe9..0000000
--- a/api-reference-v1-stable/series/danfo.series.describe.md
+++ /dev/null
@@ -1,26 +0,0 @@
-# danfo.Series.describe
-
-
-
-Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three"] })
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-df.reset_index()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.div.md b/api-reference-v1-stable/series/danfo.series.div.md
deleted file mode 100644
index ae2731b..0000000
--- a/api-reference-v1-stable/series/danfo.series.div.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# danfo.Series.div
-
-Return division of series and other, element-wise \(binary operator div\).
-
-Equivalent to series / other
-
-            **parameter:** {other} Series, Number to divide with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.div(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.head.md b/api-reference-v1-stable/series/danfo.series.head.md
deleted file mode 100644
index 1bc9d5e..0000000
--- a/api-reference-v1-stable/series/danfo.series.head.md
+++ /dev/null
@@ -1,25 +0,0 @@
----
-description: This function returns the first n rows for the object based on position.
----
-
-# danfo.Series.head
-
-
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let cols = ["A"]
-let sf = new Series(data, { columns: cols })
-sf.head()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.map.md b/api-reference-v1-stable/series/danfo.series.map.md
deleted file mode 100644
index 9d7cad4..0000000
--- a/api-reference-v1-stable/series/danfo.series.map.md
+++ /dev/null
@@ -1,42 +0,0 @@
----
-description: Map the value of a series to it representation
----
-
-# danfo.Series.map
-
-> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
-
-| Parameter | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function or Object | callable can either be a function or an object\({}\) |  |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map)
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map1.png)
-
diff --git a/api-reference-v1-stable/series/danfo.series.max.md b/api-reference-v1-stable/series/danfo.series.max.md
deleted file mode 100644
index cac4ba1..0000000
--- a/api-reference-v1-stable/series/danfo.series.max.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.max
-
diff --git a/api-reference-v1-stable/series/danfo.series.maximum.md b/api-reference-v1-stable/series/danfo.series.maximum.md
deleted file mode 100644
index 9082120..0000000
--- a/api-reference-v1-stable/series/danfo.series.maximum.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.maximum
-
-Return maximum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check maximum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.maximum(sf2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.mean.md b/api-reference-v1-stable/series/danfo.series.mean.md
deleted file mode 100644
index 6ace487..0000000
--- a/api-reference-v1-stable/series/danfo.series.mean.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mean
-
diff --git a/api-reference-v1-stable/series/danfo.series.median.md b/api-reference-v1-stable/series/danfo.series.median.md
deleted file mode 100644
index 077c0ec..0000000
--- a/api-reference-v1-stable/series/danfo.series.median.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.median
-
diff --git a/api-reference-v1-stable/series/danfo.series.min.md b/api-reference-v1-stable/series/danfo.series.min.md
deleted file mode 100644
index 22f3589..0000000
--- a/api-reference-v1-stable/series/danfo.series.min.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.min
-
diff --git a/api-reference-v1-stable/series/danfo.series.minimum.md b/api-reference-v1-stable/series/danfo.series.minimum.md
deleted file mode 100644
index 2a9d9c6..0000000
--- a/api-reference-v1-stable/series/danfo.series.minimum.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.minimum
-
-
-
-Return minimum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check minimum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.minimum(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.mod.md b/api-reference-v1-stable/series/danfo.series.mod.md
deleted file mode 100644
index 577014d..0000000
--- a/api-reference-v1-stable/series/danfo.series.mod.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Modulo of series and other, element-wise (binary operator mod).'
----
-
-# danfo.Series.mod
-
-Return Modulo of series and other, element-wise \(binary operator mod\).
-
-Equivalent to series % other
-
-            **parameter:** {other} Series, Number
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mod(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.mode.md b/api-reference-v1-stable/series/danfo.series.mode.md
deleted file mode 100644
index 8d86e6e..0000000
--- a/api-reference-v1-stable/series/danfo.series.mode.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mode
-
diff --git a/api-reference-v1-stable/series/danfo.series.mul.md b/api-reference-v1-stable/series/danfo.series.mul.md
deleted file mode 100644
index 6cdac92..0000000
--- a/api-reference-v1-stable/series/danfo.series.mul.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
----
-
-# danfo.Series.mul
-
-Return Multiplication of series and other, element-wise \(binary operator mul\).
-
-Equivalent to series \* other, but with support to substitute a fill\_value for missing data in one of the inputs.
-
-            **parameter:** {Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mul(sf2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.pow.md b/api-reference-v1-stable/series/danfo.series.pow.md
deleted file mode 100644
index 291a993..0000000
--- a/api-reference-v1-stable/series/danfo.series.pow.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# danfo.Series.pow
-
-Return Exponential power of series and other, element-wise \(binary operator pow\).
-
-Equivalent to series \*\* other
-
-            **parameter:** {other} Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.pow(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.reset_index.md b/api-reference-v1-stable/series/danfo.series.reset_index.md
deleted file mode 100644
index 7a908a9..0000000
--- a/api-reference-v1-stable/series/danfo.series.reset_index.md
+++ /dev/null
@@ -1,31 +0,0 @@
-# danfo.Series.reset\_index
-
-
-
-Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
-
-
-
-**parameter:** {kwargs} {inplace: Modify the Series in place \(do not create a new object, drop: Just reset the index, without inserting it as a column in the new DataFrame.}
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-let df_reset = df_new.reset_index()
-df_reset.print()
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-let df_new = df.reset_index()
-df_new 
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.round.md b/api-reference-v1-stable/series/danfo.series.round.md
deleted file mode 100644
index 2bbacbb..0000000
--- a/api-reference-v1-stable/series/danfo.series.round.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.round
-
-Round each value in a Series to the given number of decimals.
-
-
-
- **parameter:** {dp} Number, Numbers of Decimal places to round to
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf = new Series(data1)
-sf.round(1)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.sample.md b/api-reference-v1-stable/series/danfo.series.sample.md
deleted file mode 100644
index fa8f326..0000000
--- a/api-reference-v1-stable/series/danfo.series.sample.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# danfo.Series.sample
-
-Gets \[num\] number of random rows in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.sample(2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.set_index.md b/api-reference-v1-stable/series/danfo.series.set_index.md
deleted file mode 100644
index 5cb3d28..0000000
--- a/api-reference-v1-stable/series/danfo.series.set_index.md
+++ /dev/null
@@ -1,40 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# danfo.Series.set\_index
-
-> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object {} | The object contains the key **index** and assigned an array value of equal length to the Series. format {"index": \[Array\] } |   |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series.reset_index.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["H", "L", "M","F","T"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_reset_index2.png)
-
diff --git a/api-reference-v1-stable/series/danfo.series.sort_values.md b/api-reference-v1-stable/series/danfo.series.sort_values.md
deleted file mode 100644
index 0a0c4e7..0000000
--- a/api-reference-v1-stable/series/danfo.series.sort_values.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# danfo.Series.sort\_values
-
-
-
-Sort a Series in ascending or descending order by some criterion.
-
-
-
- **parameter:** {kwargs} Object, {ascending \(Bool\): Whether to return sorted values in ascending order or not, inplace \(Bool\): Whether to perform sorting on the original Series or not}
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values()
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "inplace": true })
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "ascending": false, "inplace": true })
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.std.md b/api-reference-v1-stable/series/danfo.series.std.md
deleted file mode 100644
index 8f48ef2..0000000
--- a/api-reference-v1-stable/series/danfo.series.std.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.std
-
-Return sample standard deviation over requested axis.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.std()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.sub.md b/api-reference-v1-stable/series/danfo.series.sub.md
deleted file mode 100644
index 8867c14..0000000
--- a/api-reference-v1-stable/series/danfo.series.sub.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
----
-
-# danfo.Series.sub
-
-Returns the subtraction between a series and other, element-wise \(binary operator subtraction\).
-
-Equivalent to series - other
-
-            **parameter:** {other} Series, Number to subtract
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 39, 1, 2, 1]
-let data2 = [1, 2, 3, 4, 5, 6]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.sub(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.sum-1.md b/api-reference-v1-stable/series/danfo.series.sum-1.md
deleted file mode 100644
index 6ec14cb..0000000
--- a/api-reference-v1-stable/series/danfo.series.sum-1.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.sum
-
-Return the sum of the values for the requested axis.
-
-This is equivalent to the method numpy.sum.
-
-            **parameter:** 
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.sum()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.tail.md b/api-reference-v1-stable/series/danfo.series.tail.md
deleted file mode 100644
index e83307d..0000000
--- a/api-reference-v1-stable/series/danfo.series.tail.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# danfo.Series.tail
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.tail()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.tostring.md b/api-reference-v1-stable/series/danfo.series.tostring.md
deleted file mode 100644
index 5807850..0000000
--- a/api-reference-v1-stable/series/danfo.series.tostring.md
+++ /dev/null
@@ -1,18 +0,0 @@
-# danfo.Series.toString
-
-
-
-Prints the data in a Series as a grid of row and columns
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.var.md b/api-reference-v1-stable/series/danfo.series.var.md
deleted file mode 100644
index 822edc7..0000000
--- a/api-reference-v1-stable/series/danfo.series.var.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.var
-
-
-
-Return unbiased variance of Series.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.var()
-```
-
diff --git a/api-reference-v1-stable/series/series.abs.md b/api-reference-v1-stable/series/series.abs.md
deleted file mode 100644
index 3c9f46a..0000000
--- a/api-reference-v1-stable/series/series.abs.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Returns the absolute value in a Series
----
-
-# Series.abs
-
-> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
-
-| Parameters | Type   | Description                                                                                          | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns: **Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [-10, 45, 56, -25, 23, -20, 10]
-let sf = new dfd.Series(data1)
-
-sf.abs().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.add.md b/api-reference-v1-stable/series/series.add.md
deleted file mode 100644
index e55b1b8..0000000
--- a/api-reference-v1-stable/series/series.add.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Addition of series and other, element-wise (binary operator add).
----
-
-# Series.add
-
-> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.add(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 31                   ║
-╟───┼──────────────────────╢
-║ 1 │ 42                   ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.add(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 5                    ║
-╟───┼──────────────────────╢
-║ 3 │ 6                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.and.md b/api-reference-v1-stable/series/series.and.md
deleted file mode 100644
index 85c22cb..0000000
--- a/api-reference-v1-stable/series/series.and.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical AND between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.and
-
-> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical AND between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.and(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ false ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.append.md b/api-reference-v1-stable/series/series.append.md
deleted file mode 100644
index 9c84620..0000000
--- a/api-reference-v1-stable/series/series.append.md
+++ /dev/null
@@ -1,135 +0,0 @@
----
-description: Add a new value or values to the end of a Series.
----
-
-# Series.append
-
-danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
-
-| Parameters | Type          | Description                                                                                                                | Default |
-| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
-| newValue   | Array, Series | Object to append                                                                                                           |         |
-| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
-| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
-
-**Returns:**
-
-**       **return** Series**
-
-****
-
-### **Append new Series to the end of a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-
-new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
-new_sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Append new Series to the end of a Series in-place**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-let newIndex = ["f5", "f6", "f7"]
-
-sf1.append(sf2, newIndex, { inplace: true })
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-
-### **Append an array to the end of Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sfArr = ["a", "b", "c"]
-
-new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
-new_sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.apply.md b/api-reference-v1-stable/series/series.apply.md
deleted file mode 100644
index d5feb72..0000000
--- a/api-reference-v1-stable/series/series.apply.md
+++ /dev/null
@@ -1,149 +0,0 @@
----
-description: Invoke a function on each value in a Series.
----
-
-# Series.apply
-
-> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
-
-| Parameters | Type     | Description                                                                                    | Default                               |
-| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
-| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:**
-
-**       **return** Series**
-
-****
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╟───┼──────────────────────╢
-║ 5 │ 12                   ║
-╟───┼──────────────────────╢
-║ 6 │ 14                   ║
-╟───┼──────────────────────╢
-║ 7 │ 16                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0.6931471805599453   ║
-╟───┼──────────────────────╢
-║ 2 │ 1.0986122886681096   ║
-╟───┼──────────────────────╢
-║ 3 │ 1.3862943611198906   ║
-╟───┼──────────────────────╢
-║ 4 │ 1.6094379124341003   ║
-╟───┼──────────────────────╢
-║ 5 │ 1.791759469228055    ║
-╟───┼──────────────────────╢
-║ 6 │ 1.9459101490553132   ║
-╟───┼──────────────────────╢
-║ 7 │ 2.0794415416798357   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ rice                 ║
-╟───┼──────────────────────╢
-║ 1 │ beans                ║
-╟───┼──────────────────────╢
-║ 2 │ yam                  ║
-╟───┼──────────────────────╢
-║ 3 │ banana               ║
-╟───┼──────────────────────╢
-║ 4 │ wheat                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argmax.md b/api-reference-v1-stable/series/series.argmax.md
deleted file mode 100644
index d7927d2..0000000
--- a/api-reference-v1-stable/series/series.argmax.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the largest value in the series
----
-
-# Series.argmax
-
-> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmax()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-7
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argmin.md b/api-reference-v1-stable/series/series.argmin.md
deleted file mode 100644
index dfc661f..0000000
--- a/api-reference-v1-stable/series/series.argmin.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the smallest value in the series
----
-
-# Series.argmin
-
-> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmin()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-0
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argsort.md b/api-reference-v1-stable/series/series.argsort.md
deleted file mode 100644
index 443935e..0000000
--- a/api-reference-v1-stable/series/series.argsort.md
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Return the integer indices that would sort the Series values
----
-
-# Series.argsort
-
-> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
-
-| Parameters | Type   | Description                            | Default                                               |
-| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
-| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
-
-**Returns: ** Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [10, 45, 20, 10, 23, 20, 30, 11]
-let sf = new dfd.Series(data)
-
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 7                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 6                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-//sorted in descending order
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 6 ║
-╟───┼───╢
-║ 2 │ 4 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╟───┼───╢
-║ 6 │ 0 ║
-╟───┼───╢
-║ 7 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.astype.md b/api-reference-v1-stable/series/series.astype.md
deleted file mode 100644
index 15a61ae..0000000
--- a/api-reference-v1-stable/series/series.astype.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.astype
-
diff --git a/api-reference-v1-stable/series/series.copy.md b/api-reference-v1-stable/series/series.copy.md
deleted file mode 100644
index 9bbdb47..0000000
--- a/api-reference-v1-stable/series/series.copy.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Makes a deep copy of a Series
----
-
-# Series.copy
-
-> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
-
-**parameter:** 
-
-**Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.copy()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21091             ║
-╟───┼──────────────────────╢
-║ 1 │ 40.190901            ║
-╟───┼──────────────────────╢
-║ 2 │ 3.564                ║
-╟───┼──────────────────────╢
-║ 3 │ 5.0212               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.corr.md b/api-reference-v1-stable/series/series.corr.md
deleted file mode 100644
index ee3263f..0000000
--- a/api-reference-v1-stable/series/series.corr.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.corr
-
diff --git a/api-reference-v1-stable/series/series.count.md b/api-reference-v1-stable/series/series.count.md
deleted file mode 100644
index 832c794..0000000
--- a/api-reference-v1-stable/series/series.count.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the total number of values in a series
----
-
-# Series.count
-
-> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.count())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.cummax.md b/api-reference-v1-stable/series/series.cummax.md
deleted file mode 100644
index 8aded1a..0000000
--- a/api-reference-v1-stable/series/series.cummax.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns cumulative maximum over a series
----
-
-# Series.cummax
-
-> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummax().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 56                   ║
-╟───┼──────────────────────╢
-║ 5 │ 56                   ║
-╟───┼──────────────────────╢
-║ 6 │ 56                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cummin.md b/api-reference-v1-stable/series/series.cummin.md
deleted file mode 100644
index 736cee5..0000000
--- a/api-reference-v1-stable/series/series.cummin.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns the cumulative min of a Series
----
-
-# Series.cummin
-
-> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 5, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummin().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ 10                   ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 5                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumprod.md b/api-reference-v1-stable/series/series.cumprod.md
deleted file mode 100644
index 84ec0e7..0000000
--- a/api-reference-v1-stable/series/series.cumprod.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Return the cumulative product of a series
----
-
-# Series.cumprod
-
-> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumprod().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 450                  ║
-╟───┼──────────────────────╢
-║ 2 │ 25200                ║
-╟───┼──────────────────────╢
-║ 3 │ 630000               ║
-╟───┼──────────────────────╢
-║ 4 │ 14490000             ║
-╟───┼──────────────────────╢
-║ 5 │ 289800000            ║
-╟───┼──────────────────────╢
-║ 6 │ 2898000000           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumsum.md b/api-reference-v1-stable/series/series.cumsum.md
deleted file mode 100644
index 7b7a19a..0000000
--- a/api-reference-v1-stable/series/series.cumsum.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a cumulative sum of a series
----
-
-# Series.cumsum
-
-> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumsum().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/dist/index.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-      //danfo is exposed on dfd namespace 
-      s = new dfd.Series([1,2,3,4,5]) 
-
-    </script>
-
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 55                   ║
-╟───┼──────────────────────╢
-║ 2 │ 111                  ║
-╟───┼──────────────────────╢
-║ 3 │ 136                  ║
-╟───┼──────────────────────╢
-║ 4 │ 159                  ║
-╟───┼──────────────────────╢
-║ 5 │ 179                  ║
-╟───┼──────────────────────╢
-║ 6 │ 189                  ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference-v1-stable/series/series.describe.md b/api-reference-v1-stable/series/series.describe.md
deleted file mode 100644
index f532bac..0000000
--- a/api-reference-v1-stable/series/series.describe.md
+++ /dev/null
@@ -1,57 +0,0 @@
----
-description: >-
-  Generate descriptive statistics. Descriptive statistics include those that
-  summarize the central tendency, dispersion and shape of a dataset’s
-  distribution, excluding NaN values
----
-
-# Series.describe
-
-> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
-
-**Parameters: **No parameter
-
-**return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
-sf.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔══════════╤══════════════════════╗
-║          │ 0                    ║
-╟──────────┼──────────────────────╢
-║ count    │ 6                    ║
-╟──────────┼──────────────────────╢
-║ mean     │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ std      │ 1.8708286933869707   ║
-╟──────────┼──────────────────────╢
-║ min      │ 1                    ║
-╟──────────┼──────────────────────╢
-║ median   │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ max      │ 6                    ║
-╟──────────┼──────────────────────╢
-║ variance │ 3.5                  ║
-╚══════════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.div.md b/api-reference-v1-stable/series/series.div.md
deleted file mode 100644
index 656a796..0000000
--- a/api-reference-v1-stable/series/series.div.md
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# Series.div
-
-> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-divide with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.div(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 20                   ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1.25                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### divide with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.div(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.5                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1.5                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dot.md b/api-reference-v1-stable/series/series.dot.md
deleted file mode 100644
index 61a8bc2..0000000
--- a/api-reference-v1-stable/series/series.dot.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.dot
-
diff --git a/api-reference-v1-stable/series/series.drop_duplicates.md b/api-reference-v1-stable/series/series.drop_duplicates.md
deleted file mode 100644
index c169043..0000000
--- a/api-reference-v1-stable/series/series.drop_duplicates.md
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Remove duplicate rows
----
-
-# Series.drop_duplicates
-
-> danfo.Series.**drop_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
-| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns: **Series
-
-**Examples**
-
-### Drop duplicate by keeping the first occurrence of the duplicate value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates()
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop duplicate and keep only the last duplicated value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates({keep:"last"})
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Remove duplicate value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
-let sf = new dfd.Series(data1)
-sf.drop_duplicates({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ A                    ║
-╟───┼──────────────────────╢
-║ 3 │ B                    ║
-╟───┼──────────────────────╢
-║ 5 │ C                    ║
-╟───┼──────────────────────╢
-║ 7 │ D                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dropna.md b/api-reference-v1-stable/series/series.dropna.md
deleted file mode 100644
index 2fab716..0000000
--- a/api-reference-v1-stable/series/series.dropna.md
+++ /dev/null
@@ -1,91 +0,0 @@
----
-description: Remove missing values from Series
----
-
-# Series.dropna
-
-> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
-
-| Parameters | Type   | Description                                                                                    | Default                             |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Drop all nan value and then return New Series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.dropna()
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop nan values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-sf.dropna({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.day.md b/api-reference-v1-stable/series/series.dt.day.md
deleted file mode 100644
index d3722c4..0000000
--- a/api-reference-v1-stable/series/series.dt.day.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the numerical representation of the week day.
----
-
-# Series.dt.day
-
-> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
-
-**Parameters**: None
-
-**Returns: **Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
-let sf = new dfd.Series(data)
-
-sf.dt.day().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═══╗
-║ 0 │ 6 ║
-╟───┼───╢
-║ 1 │ 0 ║
-╟───┼───╢
-║ 2 │ 1 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 4 ║
-╟───┼───╢
-║ 6 │ 5 ║
-╟───┼───╢
-║ 7 │ 6 ║
-╟───┼───╢
-║ 8 │ 0 ║
-╟───┼───╢
-║ 9 │ 1 ║
-╚═══╧═══╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.hour.md b/api-reference-v1-stable/series/series.dt.hour.md
deleted file mode 100644
index 9656aff..0000000
--- a/api-reference-v1-stable/series/series.dt.hour.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the hours in a time series
----
-
-# Series.dt.hour
-
-> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
-
-**Parameters: **None
-
-**Returns: **Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
-let sf = new dfd.Series(data)
-// print series
-sf.print()
-// print hour series
-sf.dt.hours().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 2:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.minute.md b/api-reference-v1-stable/series/series.dt.minute.md
deleted file mode 100644
index 97baa73..0000000
--- a/api-reference-v1-stable/series/series.dt.minute.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the minutes in a Time Series
----
-
-# Series.dt.minutes
-
-> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
-
-**Parameters**: None
-
-**Returns: **Series (int Elements)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
-let sf = new dfd.Series(data)
-//print the series
-sf.print()
-//print the minutes series
-sf.dt.minutes().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:01:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:02:00 AM ║
-╚═══╧══════════════════════╝
-
-//print the minutes series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.month.md b/api-reference-v1-stable/series/series.dt.month.md
deleted file mode 100644
index 09841bc..0000000
--- a/api-reference-v1-stable/series/series.dt.month.md
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: Obtain the month in a date time series
----
-
-# Series.dt.month
-
-> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
-
-**Parameters**: None
-
-**Returns: **Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
-let sf = new dfd.Series(data)
-
-sf.dt.month().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 0 │ 6  ║
-╟───┼────╢
-║ 1 │ 7  ║
-╟───┼────╢
-║ 2 │ 9  ║
-╟───┼────╢
-║ 3 │ 9  ║
-╟───┼────╢
-║ 4 │ 11 ║
-╟───┼────╢
-║ 5 │ 11 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.month_name.md b/api-reference-v1-stable/series/series.dt.month_name.md
deleted file mode 100644
index 2deb259..0000000
--- a/api-reference-v1-stable/series/series.dt.month_name.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: obtain the month name in a Time Series
----
-
-# Series.dt.month_name
-
-> danfo.Series.dt.month_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
-
-**Parameters**: None
-
-**Returns: **Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print month names
-sf.dt.month_name().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 2/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 3/1/2018, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═════╗
-║ 0 │ Jan ║
-╟───┼─────╢
-║ 1 │ Feb ║
-╟───┼─────╢
-║ 2 │ Mar ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.monthday.md b/api-reference-v1-stable/series/series.dt.monthday.md
deleted file mode 100644
index 70026a5..0000000
--- a/api-reference-v1-stable/series/series.dt.monthday.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the day of the month
----
-
-# Series.dt.monthday
-
-> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
-
-**Parameters: **None
-
-**Returns**: Series (Int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print monthdays
-sf.dt.monthday().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/2/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/3/2000, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.second.md b/api-reference-v1-stable/series/series.dt.second.md
deleted file mode 100644
index 68d63b3..0000000
--- a/api-reference-v1-stable/series/series.dt.second.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the seconds in Date series
----
-
-# Series.dt.seconds
-
-> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
-
-**Parameters**: None
-
-**Returns: **Series (Int elements)
-
-**Example**
-
-Obtain the seconds of the datetime
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
-let sf = new dfd.Series(data)
-//print the series frame
-sf.print()
-
-//print the seconds obtained
-sf.dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:00:01 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:00:02 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 0 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.weekdays.md b/api-reference-v1-stable/series/series.dt.weekdays.md
deleted file mode 100644
index 101bd50..0000000
--- a/api-reference-v1-stable/series/series.dt.weekdays.md
+++ /dev/null
@@ -1,79 +0,0 @@
----
-description: Obtain the days of the weeks
----
-
-# Series.dt.weekdays
-
-> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
-
-**Parameters**: None
-
-**Returns: **Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print days of the week
-sf.dt.weekdays().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════════════════════════╗
-║ 0 │ 12/31/2016, 1:00:00 AM ║
-╟───┼────────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 9 │ 1/9/2017, 1:00:00 AM   ║
-╚═══╧════════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.year.md b/api-reference-v1-stable/series/series.dt.year.md
deleted file mode 100644
index db495d9..0000000
--- a/api-reference-v1-stable/series/series.dt.year.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Obtain the year in a date time series
----
-
-# Series.dt.year
-
-> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
-
-**Parameters**: None
-
-**Returns: **Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
-let sf = new dfd.Series(data)
-sf.print()
-sf.dt.year().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-//print date time series
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2001, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2002, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ 2000 ║
-╟───┼──────╢
-║ 1 │ 2001 ║
-╟───┼──────╢
-║ 2 │ 2002 ║
-╚═══╧══════╝
-```
diff --git a/api-reference-v1-stable/series/series.dtype.md b/api-reference-v1-stable/series/series.dtype.md
deleted file mode 100644
index c4634cb..0000000
--- a/api-reference-v1-stable/series/series.dtype.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dtype of a series
----
-
-# Series.dtype
-
-> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
-
-**Parameters**: None
-
-**Returns: **String
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.dtype)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.eq.md b/api-reference-v1-stable/series/series.eq.md
deleted file mode 100644
index 43a3ece..0000000
--- a/api-reference-v1-stable/series/series.eq.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check all the values in a series is equal to another value
----
-
-# Series.eq
-
-> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Examples**
-
-Compare all the values in a series to another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.eq(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check it all the values are equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.eq(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.fillna.md b/api-reference-v1-stable/series/series.fillna.md
deleted file mode 100644
index a1db3a8..0000000
--- a/api-reference-v1-stable/series/series.fillna.md
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Replace all NaN value with specified value
----
-
-# Series.fillna
-
-> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
-
-| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Examples**
-
-### Fill nan value and then return new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-
-let sf_rep = sf.fillna({ value: -999})
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill nan value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-sf.fillna({ value: -999, inplace: true })
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ge.md b/api-reference-v1-stable/series/series.ge.md
deleted file mode 100644
index ec83ef9..0000000
--- a/api-reference-v1-stable/series/series.ge.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the values in a series is greater than or equal a value
----
-
-# Series.ge
-
-> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns: **Series (Boolean element)
-
-**Example**
-
-Compare all the value in a Series to the values in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ge(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check if all the value in a Series is greater than or equal a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ge(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.gt.md b/api-reference-v1-stable/series/series.gt.md
deleted file mode 100644
index 184ca28..0000000
--- a/api-reference-v1-stable/series/series.gt.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the value in a series is greater than a value
----
-
-# Series.gt
-
-> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are greater than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.gt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are greater than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.gt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.head.md b/api-reference-v1-stable/series/series.head.md
deleted file mode 100644
index 2892263..0000000
--- a/api-reference-v1-stable/series/series.head.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Obtain the first n rows for the object based on position.
----
-
-# Series.head
-
-> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of first n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.head().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.iloc.md b/api-reference-v1-stable/series/series.iloc.md
deleted file mode 100644
index ab578cf..0000000
--- a/api-reference-v1-stable/series/series.iloc.md
+++ /dev/null
@@ -1,158 +0,0 @@
-# Series.iloc
-
-danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `"1:7"`
-
-_**Note: **only** **the start label is included, and the end label is ignored. _
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc([0,5]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["0:5"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2.2                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By specifying a start index in a slice, all values after that index are returned. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["5:"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╟───┼──────────────────────╢
-║ 6 │ 2.1                  ║
-╟───┼──────────────────────╢
-║ 7 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.index.md b/api-reference-v1-stable/series/series.index.md
deleted file mode 100644
index 1cc95da..0000000
--- a/api-reference-v1-stable/series/series.index.md
+++ /dev/null
@@ -1,33 +0,0 @@
----
-description: Obtain the index of a Series
----
-
-# Series.index
-
-> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
-
-**Returns**: Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.index)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 0, 1, 2, 3 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.isna.md b/api-reference-v1-stable/series/series.isna.md
deleted file mode 100644
index cdf6343..0000000
--- a/api-reference-v1-stable/series/series.isna.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Detect Missing values
----
-
-# Series.isna
-
-> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
-
-**Parameters**: None
-
-**Returns**:  Series \(Boolean element\)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, undefined, "girl", "Man"]
-let sf = new dfd.Series(data1)
-
-sf.isna().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.le.md b/api-reference-v1-stable/series/series.le.md
deleted file mode 100644
index 4571b72..0000000
--- a/api-reference-v1-stable/series/series.le.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all the values in a series is less than or equal to a value
----
-
-# Series.le
-
-> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns: **Series (Boolean Element)
-
-**Example**
-
-Check if all the values in a series is less than or equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.le(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than equal to values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.le(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.loc.md b/api-reference-v1-stable/series/series.loc.md
deleted file mode 100644
index aa36e72..0000000
--- a/api-reference-v1-stable/series/series.loc.md
+++ /dev/null
@@ -1,198 +0,0 @@
----
-description: Access a group of rows by label(s) or a boolean array.
----
-
-# Series.loc
-
-danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-**       **return** Series**
-
-## **Examples**
-
-`.loc()` is  label position based (from `0` to `length-1` of the row axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note: **only** **the start label is included, and the end label is ignored. _
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Indexing by specific row index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc(["a", "g"]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╟───┼─────╢
-║ e │ 30  ║
-╟───┼─────╢
-║ f │ 30  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╟───┼─────╢
-║ h │ 7   ║
-╚═══╧═════╝
-
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc([`"a":"e"`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-`s.loc([a:e]).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-`s.loc(["a":"e"]).print()`\
-\
-_**Inner quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### By specifying a start index in a slice, all values after that index are returned. 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-let s = new dfd.Series(data)
-
-s.loc([`1:`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 1 │ 34  ║
-╟───┼─────╢
-║ 2 │ 2.2 ║
-╟───┼─────╢
-║ 3 │ 2   ║
-╟───┼─────╢
-║ 4 │ 30  ║
-╟───┼─────╢
-║ 5 │ 30  ║
-╟───┼─────╢
-║ 6 │ 2.1 ║
-╟───┼─────╢
-║ 7 │ 7   ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.loc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.lt.md b/api-reference-v1-stable/series/series.lt.md
deleted file mode 100644
index 7af18bc..0000000
--- a/api-reference-v1-stable/series/series.lt.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all values in a Series are less than a value.
----
-
-# Series.lt
-
-> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are less than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.lt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.lt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.map.md b/api-reference-v1-stable/series/series.map.md
deleted file mode 100644
index 0e0850a..0000000
--- a/api-reference-v1-stable/series/series.map.md
+++ /dev/null
@@ -1,92 +0,0 @@
----
-description: Map the value of a series to a function or Object
----
-
-# Series.map
-
-> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
-
-| Parameter | Type               | Description                                                                                    | Default                               |
-| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable  | Function or Object | A function or object({})                                                                       |                                       |
-| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Example**
-
-Mapping the element in a Series  words in an Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ ok                   ║
-╟───┼──────────────────────╢
-║ 1 │ okie                 ║
-╟───┼──────────────────────╢
-║ 2 │ frit                 ║
-╟───┼──────────────────────╢
-║ 3 │ gop                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Mapping values in a Series to a representation using functions.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ I have 1 cat(s)      ║
-╟───┼──────────────────────╢
-║ 1 │ I have 2 cat(s)      ║
-╟───┼──────────────────────╢
-║ 2 │ I have 3 cat(s)      ║
-╟───┼──────────────────────╢
-║ 3 │ I have 4 cat(s)      ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.max.md b/api-reference-v1-stable/series/series.max.md
deleted file mode 100644
index 4f7193a..0000000
--- a/api-reference-v1-stable/series/series.max.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the maximum value in a Series
----
-
-# Series.max
-
-> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.max())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-89
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.maximum.md b/api-reference-v1-stable/series/series.maximum.md
deleted file mode 100644
index afc5a48..0000000
--- a/api-reference-v1-stable/series/series.maximum.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Obtain the maximum number between two series
----
-
-# Series.maximum
-
-> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.maximum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 41                   ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.mean.md b/api-reference-v1-stable/series/series.mean.md
deleted file mode 100644
index 17d97e6..0000000
--- a/api-reference-v1-stable/series/series.mean.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the mean of a series
----
-
-# Series.mean
-
-> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mean())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-23.000001907348633
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.median.md b/api-reference-v1-stable/series/series.median.md
deleted file mode 100644
index d1cde75..0000000
--- a/api-reference-v1-stable/series/series.median.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the median of a series
----
-
-# Series.median
-
-> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.median())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-4
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.min.md b/api-reference-v1-stable/series/series.min.md
deleted file mode 100644
index 6e11a67..0000000
--- a/api-reference-v1-stable/series/series.min.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the minimum value in a series
----
-
-# Series.min
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.min())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-0
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.minimum.md b/api-reference-v1-stable/series/series.minimum.md
deleted file mode 100644
index a06ba69..0000000
--- a/api-reference-v1-stable/series/series.minimum.md
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: Obtain the minimum value between two series (element wise)
----
-
-# Series.minimum
-
-> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.minimum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 40                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.mod.md b/api-reference-v1-stable/series/series.mod.md
deleted file mode 100644
index fdf0555..0000000
--- a/api-reference-v1-stable/series/series.mod.md
+++ /dev/null
@@ -1,85 +0,0 @@
----
-description: Return Modulo of series and other, element-wise (binary operator mod).
----
-
-# Series.mod
-
-> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
-
-| Parameters | Type               | Description                                                                                    | Default                               |
-| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\|float | values                                                                                         |                                       |
-| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Modulus with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mod(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.8999999761581421   ║
-╟───┼──────────────────────╢
-║ 1 │ 1.3999993801116943   ║
-╟───┼──────────────────────╢
-║ 2 │ 0.7000000476837158   ║
-╟───┼──────────────────────╢
-║ 3 │ 0.19999980926513672  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Modulo with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mod(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.mode.md b/api-reference-v1-stable/series/series.mode.md
deleted file mode 100644
index 6077686..0000000
--- a/api-reference-v1-stable/series/series.mode.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the center value in a series
----
-
-# Series.mode
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mode())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 4 ]
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.mul.md b/api-reference-v1-stable/series/series.mul.md
deleted file mode 100644
index d5d33de..0000000
--- a/api-reference-v1-stable/series/series.mul.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Multiplication of series and other, element-wise (binary operator mul).
----
-
-# Series.mul
-
-> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-multiplication with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mul(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 80                   ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-multiply with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mul(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.ndim.md b/api-reference-v1-stable/series/series.ndim.md
deleted file mode 100644
index 8258e46..0000000
--- a/api-reference-v1-stable/series/series.ndim.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dimension of a series
----
-
-# Series.ndim
-
-> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
-
-**Parameters: **None
-
-**Returns: **int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.ndim)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-1
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ne.md b/api-reference-v1-stable/series/series.ne.md
deleted file mode 100644
index 16cf1dc..0000000
--- a/api-reference-v1-stable/series/series.ne.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all values in a  series is not equal to a value(s)
----
-
-# Series.ne
-
-> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-Compare all the values in a series to that in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ne(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Compare all the values in a Series to a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ne(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.nunique.md b/api-reference-v1-stable/series/series.nunique.md
deleted file mode 100644
index 1adfe98..0000000
--- a/api-reference-v1-stable/series/series.nunique.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Returns the number of unique values in a series
----
-
-# Series.nunique
-
-> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters**: None
-
-**Returns: **int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-console.log(sf.nunique())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Ouptut" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.or.md b/api-reference-v1-stable/series/series.or.md
deleted file mode 100644
index 948c61d..0000000
--- a/api-reference-v1-stable/series/series.or.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical OR between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.or
-
-> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical OR between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.or(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.pow.md b/api-reference-v1-stable/series/series.pow.md
deleted file mode 100644
index 2fbe542..0000000
--- a/api-reference-v1-stable/series/series.pow.md
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# Series.pow
-
-> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Exponential power with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.pow(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 9                    ║
-╟───┼──────────────────────╢
-║ 2 │ 64                   ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Exponential value with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.pow(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 16                   ║
-╟───┼──────────────────────╢
-║ 4 │ 25                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.replace.md b/api-reference-v1-stable/series/series.replace.md
deleted file mode 100644
index 8a1f48b..0000000
--- a/api-reference-v1-stable/series/series.replace.md
+++ /dev/null
@@ -1,89 +0,0 @@
----
-description: Replace values given in replace param with value
----
-
-# Series.replace
-
-> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Replace a value in a series and return a new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Replace a value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
diff --git a/api-reference-v1-stable/series/series.reset_index.md b/api-reference-v1-stable/series/series.reset_index.md
deleted file mode 100644
index 7ff93af..0000000
--- a/api-reference-v1-stable/series/series.reset_index.md
+++ /dev/null
@@ -1,113 +0,0 @@
----
-description: Reset the index of a series.
----
-
-# Series.reset_index
-
-> danfo.series.reset_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
-
-| Parameters | Type   | Description                                                                                         | Default          |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object |  **inplace: **Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
-
-**Returns : **Series
-
-`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
-
-### **Reset index to default values**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [20, 30, 40]
-let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
-sf.print()
-
-let sf_reset = sf.reset_index()
-sf_reset.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ a │ 20 ║
-╟───┼────╢
-║ b │ 30 ║
-╟───┼────╢
-║ c │ 40 ║
-╚═══╧════╝
-
-╔═══╤════╗
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 2 │ 40 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Reset index to new values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
-sf.print()
-
-sf.reset_index({ inplace: true })
-sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╟───┼───╢
-║ f │ 6 ║
-╚═══╧═══╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 4 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 6 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.round.md b/api-reference-v1-stable/series/series.round.md
deleted file mode 100644
index 7b7ed7c..0000000
--- a/api-reference-v1-stable/series/series.round.md
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: round off floating values in series
----
-
-# Series.round
-
-> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
-
-| Parameters | Type   | Description                                                                                    | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| dp         | int    | decimal place to round off to                                                                  |                                       |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns: **Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-sf1.round(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21                ║
-╟───┼──────────────────────╢
-║ 1 │ 40.19                ║
-╟───┼──────────────────────╢
-║ 2 │ 3.56                 ║
-╟───┼──────────────────────╢
-║ 3 │ 5.02                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.sample.md b/api-reference-v1-stable/series/series.sample.md
deleted file mode 100644
index 762e635..0000000
--- a/api-reference-v1-stable/series/series.sample.md
+++ /dev/null
@@ -1,65 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# Series.sample
-
-> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
-
-| Parameters | Type   | Description                                                                                                                                  | Default                        |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
-| num        | Int    | The number of rows to return.                                                                                                                |                                |
-| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
-
-**Returns:**
-
-**       **return** {Promies} resolves to Series**
-
-**Example**
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-  let sf1 = new dfd.Series(data1);
-  let sample = await sf1.sample(5)
-  sample.print()
-  
-}
-load_data()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤════╗
-║ 2 │ 3  ║
-╟───┼────╢
-║ 4 │ 5  ║
-╟───┼────╢
-║ 0 │ 1  ║
-╟───┼────╢
-║ 7 │ 40 ║
-╟───┼────╢
-║ 6 │ 30 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Specify a seed when sampling
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-    let sf1 = new dfd.Series(data1);
-    let sample = await sf1.sample(5, { seed: 2 })
-    sample.print()
-
-}
-load_data()
-
-```
diff --git a/api-reference-v1-stable/series/series.set_index.md b/api-reference-v1-stable/series/series.set_index.md
deleted file mode 100644
index 0b9cad9..0000000
--- a/api-reference-v1-stable/series/series.set_index.md
+++ /dev/null
@@ -1,136 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# Series.set_index
-
-> danfo.series.**set_index(**options**) **\[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
-
-| Parameter | Type   | Description                                                                                    | Default                               |
-| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| index     | Array  | new index values                                                                               |                                       |
-| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns: **Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let sf = new dfd.Series(data)
-sf.print()
-
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════════════════════════╗
-║ 0 │ {"alpha":"A","count":1} ║
-╟───┼─────────────────────────╢
-║ 1 │ {"alpha":"B","count":2} ║
-╟───┼─────────────────────────╢
-║ 2 │ {"alpha":"C","count":3} ║
-╚═══╧═════════════════════════╝
-
-╔═══════╤═════════════════════════╗
-║ one   │ {"alpha":"A","count":1} ║
-╟───────┼─────────────────────────╢
-║ two   │ {"alpha":"B","count":2} ║
-╟───────┼─────────────────────────╢
-║ three │ {"alpha":"C","count":3} ║
-╚═══════╧═════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ H │ Humans               ║
-╟───┼──────────────────────╢
-║ L │ Life                 ║
-╟───┼──────────────────────╢
-║ M │ Meaning              ║
-╟───┼──────────────────────╢
-║ F │ Fact                 ║
-╟───┼──────────────────────╢
-║ T │ Truth                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Set index in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data)
-sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
-sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤═══╗
-║ one   │ 1 ║
-╟───────┼───╢
-║ two   │ 2 ║
-╟───────┼───╢
-║ three │ 3 ║
-╟───────┼───╢
-║ four  │ 4 ║
-╟───────┼───╢
-║ five  │ 5 ║
-╟───────┼───╢
-║ six   │ 6 ║
-╚═══════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.shape.md b/api-reference-v1-stable/series/series.shape.md
deleted file mode 100644
index 9eb5031..0000000
--- a/api-reference-v1-stable/series/series.shape.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the shape of a Series
----
-
-# Series.shape
-
-> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
-
-**Parameters**: None
-
-**Returns**:  Array \[int, int\]
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.shape)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 4, 1 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.size.md b/api-reference-v1-stable/series/series.size.md
deleted file mode 100644
index 9665b65..0000000
--- a/api-reference-v1-stable/series/series.size.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-description: Obtain the size of a series
----
-
-# Series.size
-
-> danfo.Series.size  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\]
-
-**Parameters**: None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.size)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-4
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.sort_values.md b/api-reference-v1-stable/series/series.sort_values.md
deleted file mode 100644
index 5c7e5fa..0000000
--- a/api-reference-v1-stable/series/series.sort_values.md
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Sorts a Series in ascending or descending order
----
-
-# Series.sort_values
-
-> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
-| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
-
-  **Return:** Series
-
-### Sort values in a Series 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.sort_values()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Sort Series in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ inplace: true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-Sort Series values in descending order
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "ascending": false, "inplace": true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 6 │ 89 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 7 │ 0  ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.std.md b/api-reference-v1-stable/series/series.std.md
deleted file mode 100644
index 8d83e32..0000000
--- a/api-reference-v1-stable/series/series.std.md
+++ /dev/null
@@ -1,39 +0,0 @@
----
-description: Obtain the standard deviation for a series
----
-
-# Series.std
-
-> danfo.Series.std\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)\]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.std())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-31.11671576500322
-```
-{% endtab %}
-{% endtabs %}
-
- ****
-
-
-
diff --git a/api-reference-v1-stable/series/series.str.capitalize.md b/api-reference-v1-stable/series/series.str.capitalize.md
deleted file mode 100644
index aea9e91..0000000
--- a/api-reference-v1-stable/series/series.str.capitalize.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Capitalize the first character of each string
----
-
-# Series.str.capitalize
-
-> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert  the first character of a string to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'capitals', 'sentence', 'swApCaSe']
-let sf = new dfd.Series(data)
-sf.str.capitalize().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ Capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ Sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ Swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.charat.md b/api-reference-v1-stable/series/series.str.charat.md
deleted file mode 100644
index 931bb48..0000000
--- a/api-reference-v1-stable/series/series.str.charat.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Obtain the character at the specified index (position)
----
-
-# Series.str.charAt
-
-> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| index      | int    | the index at which to obtain the character                      | 0                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (Character element)
-
-**Example**
-
-Obtain the character at index 2 of all string elements in the series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.charAt(2).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ w                    ║
-╟───┼──────────────────────╢
-║ 1 │ P                    ║
-╟───┼──────────────────────╢
-║ 2 │ n                    ║
-╟───┼──────────────────────╢
-║ 3 │ A                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.concat.md b/api-reference-v1-stable/series/series.str.concat.md
deleted file mode 100644
index 2fa49d4..0000000
--- a/api-reference-v1-stable/series/series.str.concat.md
+++ /dev/null
@@ -1,165 +0,0 @@
----
-description: Joins two or more strings/arrays
----
-
-# Series.str.concat
-
-> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
-
-| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
-| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
-| position   | Int             | The position to add the **other **(string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
-| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns: **Series (String element)
-
-**Examples**
-
-Add the strings from an Array to the start of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ XXlower boy          ║
-╟───┼──────────────────────╢
-║ 1 │ YYCAPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ BBsentence           ║
-╟───┼──────────────────────╢
-║ 3 │ 01SwApCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add the strings from an Array to the end of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boyXX          ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSYY           ║
-╟───┼──────────────────────╢
-║ 2 │ sentenceBB           ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSe01           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the start of each string element in a Series
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("pre",0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ prelower boy         ║
-╟───┼──────────────────────╢
-║ 1 │ preCAPITALS          ║
-╟───┼──────────────────────╢
-║ 2 │ presentence          ║
-╟───┼──────────────────────╢
-║ 3 │ preSwApCaSe          ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the end of each string element in a series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("post",1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boypost        ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSpost         ║
-╟───┼──────────────────────╢
-║ 2 │ sentencepost         ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSepost         ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference-v1-stable/series/series.str.endswith.md b/api-reference-v1-stable/series/series.str.endswith.md
deleted file mode 100644
index 2fb44cc..0000000
--- a/api-reference-v1-stable/series/series.str.endswith.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string ends with specified characters
----
-
-# Series.str.endsWith
-
-> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.endsWith("e").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.includes.md b/api-reference-v1-stable/series/series.str.includes.md
deleted file mode 100644
index 8918773..0000000
--- a/api-reference-v1-stable/series/series.str.includes.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string contains the specified string/characters
----
-
-# Series.str.includes
-
-> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.includes("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.indexof.md b/api-reference-v1-stable/series/series.str.indexof.md
deleted file mode 100644
index 8328d8b..0000000
--- a/api-reference-v1-stable/series/series.str.indexof.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: the position of the first found occurrence of a specified value in a string
----
-
-# Series.str.indexOf
-
-> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to obtain its index                                  | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns: **Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.indexOf("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.join.md b/api-reference-v1-stable/series/series.str.join.md
deleted file mode 100644
index 386da02..0000000
--- a/api-reference-v1-stable/series/series.str.join.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Join a new string value to all string elements in a Series.
----
-
-# Series.str.join
-
-> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| valToJoin  | String | the string value you want to                                    |  ""                                                    |
-| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-**   **return **Series**
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.join("new", "_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════════════════════════╗
-║ 0 │ lower part_new         ║
-╟───┼────────────────────────╢
-║ 1 │ CAPITALS city_new      ║
-╟───┼────────────────────────╢
-║ 2 │ this is a sentence_new ║
-╟───┼────────────────────────╢
-║ 3 │ SwAp CaSe_new          ║
-╚═══╧════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.lastindexof.md b/api-reference-v1-stable/series/series.str.lastindexof.md
deleted file mode 100644
index 889a1f4..0000000
--- a/api-reference-v1-stable/series/series.str.lastindexof.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Obtain the position of the last found occurrence of a specified value in a
-  string
----
-
-# Series.str.lastIndexOf
-
-danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.lastIndexOf("r").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.str.len.md b/api-reference-v1-stable/series/series.str.len.md
deleted file mode 100644
index 0ef06b2..0000000
--- a/api-reference-v1-stable/series/series.str.len.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the length of each string element in a Series
----
-
-# Series.str.len
-
-> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Examples**
-
-Returns the length (number of character) of a string, and also return the length (number of elements) of Array
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["dog", 5,"cat","fog","mug","animals"]
-let sf = new dfd.Series(data)
-sf.str.len().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.repeat.md b/api-reference-v1-stable/series/series.str.repeat.md
deleted file mode 100644
index 76f9073..0000000
--- a/api-reference-v1-stable/series/series.str.repeat.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Repeat the the character(s) in a string for a specified number of time
----
-
-# Series.str.repeat
-
-> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
-
-| Parameters | Type    | Description                                                     | Default                                                |
-| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
-| num        | integer | the string to search for                                        | 1                                                      |
-| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:  **Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['a', 'b', 'c', 'd']
-let sf = new dfd.Series(data)
-sf.str.repeat(4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ aaaa                 ║
-╟───┼──────────────────────╢
-║ 1 │ bbbb                 ║
-╟───┼──────────────────────╢
-║ 2 │ cccc                 ║
-╟───┼──────────────────────╢
-║ 3 │ dddd                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.replace.md b/api-reference-v1-stable/series/series.str.replace.md
deleted file mode 100644
index da02575..0000000
--- a/api-reference-v1-stable/series/series.str.replace.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Replace a word or character(s) in a String element
----
-
-# Series.str.replace
-
-> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]    
-
-| Parameters   | Type   | Description                                                     | Default                                                |
-| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
-| replaceValue | String | string to replace the searched string                           | ""                                                     |
-| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns: **Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.replace("A", "XXX").print()
-```
-{% endtab %}
-
-{% tab title="Browse" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower                ║
-╟───┼──────────────────────╢
-║ 1 │ CXXXPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwXXXpCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.search.md b/api-reference-v1-stable/series/series.str.search.md
deleted file mode 100644
index 9dc48e0..0000000
--- a/api-reference-v1-stable/series/series.str.search.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Obtain the index position of a searched  character in a String
----
-
-# Series.str.search
-
-> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
-
-
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | String | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-**     **return Series: Series of index position
-
-**Example**
-
-obtain the index position for a character
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 8                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Obtain the index position for a searched word
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower city ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("city").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.slice.md b/api-reference-v1-stable/series/series.str.slice.md
deleted file mode 100644
index a807a36..0000000
--- a/api-reference-v1-stable/series/series.str.slice.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.slice
-
-> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-**  **return Series.
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.slice(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.split.md b/api-reference-v1-stable/series/series.str.split.md
deleted file mode 100644
index 8ba84b6..0000000
--- a/api-reference-v1-stable/series/series.str.split.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: >-
-  Split string around a given separator/delimiter. The array of strings are then
-  converted to a string.
----
-
-# Series.str.split
-
-> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
-
-| Parameters | Type   | Description                                                | Default                         |
-| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
-| splitVal   | String | separator or delimiter used to split the string            | " "                             |
-| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
-
-**Returns**
-
-                      return **Series**
-
-**Examples**
-
-Split the string value in the Series by space and obtain the Series values
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king of the music","the lamba queen","I love the hat"]
-let sf = new dfd.Series(data)
-console.log(sf.str.split().values)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-**OUTPUT:     **`[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king_of_the_music","the_lamba_queen","I_love_the_hat"]
-let sf = new dfd.Series(data)
-sf.str.split("_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ king,of,the,music    ║
-╟───┼──────────────────────╢
-║ 1 │ the,lamba,queen      ║
-╟───┼──────────────────────╢
-║ 2 │ I,love,the,hat       ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.startswith.md b/api-reference-v1-stable/series/series.str.startswith.md
deleted file mode 100644
index 6290122..0000000
--- a/api-reference-v1-stable/series/series.str.startswith.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Test whether a string begins with specified characters
----
-
-# Series.str.startsWith
-
-> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:  **Series (Boolean element)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.startsWith("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substr.md b/api-reference-v1-stable/series/series.str.substr.md
deleted file mode 100644
index bb58cfd..0000000
--- a/api-reference-v1-stable/series/series.str.substr.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: >-
-  Obtain the substring from a String element in a Series, by specifying the
-  number of string to obtain starting from a specific index.
----
-
-# Series.str.substr
-
-> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-**      **return Series
-
-**Example**
-
-Obtain substring( containing 4 characters) starting from the third character (2nd index).
-
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substr(2, 4).print()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ wer                  ║
-╟───┼──────────────────────╢
-║ 1 │ APIT                 ║
-╟───┼──────────────────────╢
-║ 2 │ his                  ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp                 ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substring.md b/api-reference-v1-stable/series/series.str.substring.md
deleted file mode 100644
index 39bd460..0000000
--- a/api-reference-v1-stable/series/series.str.substring.md
+++ /dev/null
@@ -1,56 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.substring
-
-> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**
-
-**     **return **Series**
-
-**Example**
-
-Obtain the substring from index 2 to index 4 of the string elements in a Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substring(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.tolowercase.md b/api-reference-v1-stable/series/series.str.tolowercase.md
deleted file mode 100644
index 9abe0f5..0000000
--- a/api-reference-v1-stable/series/series.str.tolowercase.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Converts all characters to lower case.
----
-
-# Series.str.toLowerCase
-
-> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-Convert all characters in each string element to small letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['LOWER BOY', 'CAPITALS', 'SENTENCE', 'SWAPCASE']
-let sf = new dfd.Series(data)
-sf.str.toLowerCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.touppercase.md b/api-reference-v1-stable/series/series.str.touppercase.md
deleted file mode 100644
index f484390..0000000
--- a/api-reference-v1-stable/series/series.str.touppercase.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Converts all characters to uppercase.
----
-
-# Series.str.toUpperCase
-
-> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert all characters in each string element to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.toUpperCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ LOWER BOY            ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS             ║
-╟───┼──────────────────────╢
-║ 2 │ SENTENCE             ║
-╟───┼──────────────────────╢
-║ 3 │ SWAPCASE             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.trim.md b/api-reference-v1-stable/series/series.str.trim.md
deleted file mode 100644
index c5df92a..0000000
--- a/api-reference-v1-stable/series/series.str.trim.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Remove leading and trailing Whitespace from a String element
----
-
-# Series.str.trim
-
-> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-**         **return Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.trim().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part           ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city        ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe            ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.sub.md b/api-reference-v1-stable/series/series.sub.md
deleted file mode 100644
index e281d06..0000000
--- a/api-reference-v1-stable/series/series.sub.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Subtraction of series and other, element-wise (binary operator sub).
----
-
-# Series.sub
-
-> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.sub(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 29                   ║
-╟───┼──────────────────────╢
-║ 1 │ 38                   ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.sub(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.sum.md b/api-reference-v1-stable/series/series.sum.md
deleted file mode 100644
index fabcba7..0000000
--- a/api-reference-v1-stable/series/series.sum.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# Series.sum
-
-> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.sum())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-207
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.tail.md b/api-reference-v1-stable/series/series.tail.md
deleted file mode 100644
index 7f986a1..0000000
--- a/api-reference-v1-stable/series/series.tail.md
+++ /dev/null
@@ -1,49 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# Series.tail
-
-> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of last n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 6  │ 30                   ║
-╟────┼──────────────────────╢
-║ 7  │ 40                   ║
-╟────┼──────────────────────╢
-║ 8  │ 39                   ║
-╟────┼──────────────────────╢
-║ 9  │ 89                   ║
-╟────┼──────────────────────╢
-║ 10 │ 78                   ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.tensor.md b/api-reference-v1-stable/series/series.tensor.md
deleted file mode 100644
index a5c112c..0000000
--- a/api-reference-v1-stable/series/series.tensor.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: Obtain the tensor representation of the values in a Series
----
-
-# Series.tensor
-
-> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
-
-**Parameters**: None
-
-**Returns**: Tensorflow tensor
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.tensor)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 4 ],
-  dtype: 'float32',
-  size: 4,
-  strides: [],
-  dataId: {},
-  id: 2,
-  rankType: '1',
-  scopeId: 0
-}
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.unique.md b/api-reference-v1-stable/series/series.unique.md
deleted file mode 100644
index c89d187..0000000
--- a/api-reference-v1-stable/series/series.unique.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the unique value in a Series
----
-
-# Series.unique
-
-> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
-
-**Parameters**: None
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.unique().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╟───┼──────────────────────╢
-║ 6 │ 7                    ║
-╟───┼──────────────────────╢
-║ 7 │ 8                    ║
-╟───┼──────────────────────╢
-║ 8 │ 22                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.value_counts.md b/api-reference-v1-stable/series/series.value_counts.md
deleted file mode 100644
index e8d0ad7..0000000
--- a/api-reference-v1-stable/series/series.value_counts.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Count the number of occurrence for each element in a Series
----
-
-# Series.value_counts
-
-> danfo.Series.value_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters: **None
-
-**Returns: **Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.value_counts().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 1  │ 3                    ║
-╟────┼──────────────────────╢
-║ 2  │ 1                    ║
-╟────┼──────────────────────╢
-║ 3  │ 1                    ║
-╟────┼──────────────────────╢
-║ 4  │ 1                    ║
-╟────┼──────────────────────╢
-║ 5  │ 4                    ║
-╟────┼──────────────────────╢
-║ 6  │ 1                    ║
-╟────┼──────────────────────╢
-║ 7  │ 1                    ║
-╟────┼──────────────────────╢
-║ 8  │ 2                    ║
-╟────┼──────────────────────╢
-║ 22 │ 1                    ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.values.md b/api-reference-v1-stable/series/series.values.md
deleted file mode 100644
index 4857487..0000000
--- a/api-reference-v1-stable/series/series.values.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the values in a series
----
-
-# Series.values
-
-> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
-
-**Parameters:** None
-
-**Returns**:  Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.values)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 30.21091, 40.190901, 3.564, 5.0212 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.var.md b/api-reference-v1-stable/series/series.var.md
deleted file mode 100644
index 4fdcbc2..0000000
--- a/api-reference-v1-stable/series/series.var.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Calculate the variance  of a Series
----
-
-# Series.var
-
-> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.var())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-968.25
-```
-{% endtab %}
-{% endtabs %}
-

From 346e5fd733d7cf96a929741e41b0c29808c0fd80 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 2 Jan 2022 21:14:53 +0100
Subject: [PATCH 157/202] duplicate api reference

---
 api-reference copy/README.md                  |  54 +++
 api-reference copy/configuration-options.md   | 128 +++++
 api-reference copy/dataframe/README.md        | 145 ++++++
 .../dataframe/creating-a-dataframe.md         | 355 ++++++++++++++
 .../dataframe/danfo.dataframe.abs.md          |  74 +++
 .../dataframe/danfo.dataframe.add.md          | 246 ++++++++++
 .../dataframe/danfo.dataframe.addcolumn.md    | 118 +++++
 .../dataframe/danfo.dataframe.apply.md        | 106 ++++
 .../dataframe/danfo.dataframe.column.md       |  72 +++
 .../dataframe/danfo.dataframe.copy.md         |  53 ++
 .../dataframe/danfo.dataframe.count.md        | 100 ++++
 .../dataframe/danfo.dataframe.cummax.md       |  99 ++++
 .../dataframe/danfo.dataframe.cummin.md       |  99 ++++
 .../dataframe/danfo.dataframe.cumprod.md      |  99 ++++
 .../dataframe/danfo.dataframe.cumsum.md       |  99 ++++
 .../dataframe/danfo.dataframe.describe.md     |  61 +++
 .../dataframe/danfo.dataframe.div.md          | 254 ++++++++++
 .../dataframe/danfo.dataframe.dropna.md       |  96 ++++
 .../dataframe/danfo.dataframe.eq.md           | 190 ++++++++
 .../dataframe/danfo.dataframe.fillna.md       | 178 +++++++
 .../dataframe/danfo.dataframe.ge.md           | 195 ++++++++
 .../dataframe/danfo.dataframe.groupby.md      | 148 ++++++
 .../dataframe/danfo.dataframe.gt.md           | 191 ++++++++
 .../dataframe/danfo.dataframe.head.md         |  53 ++
 .../dataframe/danfo.dataframe.iloc.md         | 331 +++++++++++++
 .../dataframe/danfo.dataframe.isna.md         |  54 +++
 .../dataframe/danfo.dataframe.it.md           | 194 ++++++++
 .../dataframe/danfo.dataframe.le.md           | 194 ++++++++
 .../dataframe/danfo.dataframe.loc.md          | 367 ++++++++++++++
 .../dataframe/danfo.dataframe.max.md          | 118 +++++
 .../dataframe/danfo.dataframe.mean.md         | 120 +++++
 .../dataframe/danfo.dataframe.median.md       | 120 +++++
 .../dataframe/danfo.dataframe.min.md          | 120 +++++
 .../dataframe/danfo.dataframe.mod.md          | 258 ++++++++++
 .../dataframe/danfo.dataframe.mul.md          | 252 ++++++++++
 .../dataframe/danfo.dataframe.ne.md           | 187 ++++++++
 .../dataframe/danfo.dataframe.pow.md          | 260 ++++++++++
 .../dataframe/danfo.dataframe.query.md        | 278 +++++++++++
 .../dataframe/danfo.dataframe.replace.md      | 102 ++++
 .../dataframe/danfo.dataframe.round.md        | 128 +++++
 .../dataframe/danfo.dataframe.sample.md       | 112 +++++
 .../dataframe/danfo.dataframe.std.md          |  94 ++++
 .../dataframe/danfo.dataframe.sub.md          | 250 ++++++++++
 .../dataframe/danfo.dataframe.sum.md          | 121 +++++
 .../dataframe/danfo.dataframe.tail.md         |  53 ++
 .../dataframe/danfo.dataframe.var.md          |  94 ++++
 .../dataframe/dataframe.append.md             |  76 +++
 .../dataframe/dataframe.apply_map.md          |  68 +++
 .../dataframe/dataframe.astype.md             | 222 +++++++++
 .../dataframe/dataframe.axes.md               |  47 ++
 .../dataframe/dataframe.drop.md               | 143 ++++++
 .../dataframe/dataframe.dtypes.md             | 100 ++++
 .../dataframe/dataframe.index.md              |  69 +++
 .../dataframe/dataframe.ndim.md               |  46 ++
 .../dataframe/dataframe.nunique-1.md          |  98 ++++
 .../dataframe/dataframe.print.md              | 105 ++++
 .../dataframe/dataframe.rename.md             | 148 ++++++
 .../dataframe/dataframe.reset_index.md        |  73 +++
 .../dataframe/dataframe.select_dtypes.md      |  94 ++++
 .../dataframe/dataframe.set_index.md          | 176 +++++++
 .../dataframe/dataframe.shape.md              |  43 ++
 .../dataframe/dataframe.sort_index.md         |  74 +++
 .../dataframe/dataframe.sort_values.md        |  99 ++++
 .../dataframe/dataframe.tensor.md             | 110 +++++
 .../dataframe/dataframe.to_csv.md             | 114 +++++
 .../dataframe/dataframe.to_excel.md           |  53 ++
 .../dataframe/dataframe.to_json.md            | 127 +++++
 .../dataframe/dataframe.values.md             |  50 ++
 .../general-functions/README.md               |  27 ++
 .../general-functions/danfo.concat.md         | 187 ++++++++
 .../general-functions/danfo.date_range.md     | 111 +++++
 .../general-functions/danfo.get_dummies.md    | 188 ++++++++
 .../general-functions/danfo.labelencoder.md   | 140 ++++++
 .../general-functions/danfo.merge.md          | 453 ++++++++++++++++++
 .../general-functions/danfo.minmaxscaler.md   | 125 +++++
 .../general-functions/danfo.onehotencoder.md  | 148 ++++++
 .../general-functions/danfo.standardscaler.md | 132 +++++
 .../general-functions/danfo.to_datetime.md    | 141 ++++++
 api-reference copy/groupby.md                 | 122 +++++
 api-reference copy/groupby/README.md          |  34 ++
 api-reference copy/groupby/groupby.agg.md     |  93 ++++
 api-reference copy/groupby/groupby.apply.md   |  84 ++++
 api-reference copy/groupby/groupby.col.md     | 105 ++++
 api-reference copy/groupby/groupby.count.md   | 175 +++++++
 api-reference copy/groupby/groupby.cummax.md  | 258 ++++++++++
 api-reference copy/groupby/groupby.cummin.md  | 258 ++++++++++
 api-reference copy/groupby/groupby.cumprod.md | 258 ++++++++++
 api-reference copy/groupby/groupby.cumsum.md  | 259 ++++++++++
 .../groupby/groupby.get_groups.md             | 129 +++++
 api-reference copy/groupby/groupby.max.md     | 170 +++++++
 api-reference copy/groupby/groupby.mean.md    | 173 +++++++
 api-reference copy/groupby/groupby.min.md     | 171 +++++++
 api-reference copy/groupby/groupby.std.md     | 175 +++++++
 api-reference copy/groupby/groupby.sum.md     | 172 +++++++
 api-reference copy/groupby/groupby.var.md     | 175 +++++++
 api-reference copy/input-output/README.md     |  18 +
 .../input-output/danfo.read_csv.md            | 134 ++++++
 .../input-output/danfo.read_excel.md          |  68 +++
 .../input-output/danfo.read_json.md           | 127 +++++
 .../input-output/danfo.to_csv.md              | 115 +++++
 .../input-output/danfo.to_excel.md            |  54 +++
 .../input-output/danfo.to_json.md             | 124 +++++
 api-reference copy/input-output/read.md       | 138 ++++++
 api-reference copy/plotting/README.md         |  19 +
 api-reference copy/plotting/bar-charts.md     |  75 +++
 api-reference copy/plotting/box-plots.md      | 116 +++++
 .../plotting/configuring-your-plots.md        |  68 +++
 api-reference copy/plotting/histograms.md     | 117 +++++
 api-reference copy/plotting/line-charts.md    | 109 +++++
 api-reference copy/plotting/pie-charts.md     | 123 +++++
 api-reference copy/plotting/scatter-plots.md  |  88 ++++
 api-reference copy/plotting/tables.md         |  95 ++++
 .../plotting/timeseries-plots.md              |  58 +++
 api-reference copy/plotting/violin-plots.md   | 112 +++++
 api-reference copy/series/README.md           | 182 +++++++
 .../series/creating-a-series.md               | 210 ++++++++
 api-reference copy/series/danfo.series.add.md |  22 +
 .../series/danfo.series.apply.md              |  63 +++
 .../series/danfo.series.copy.md               |  22 +
 .../series/danfo.series.count.md              |  24 +
 .../series/danfo.series.describe.md           |  26 +
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 .../series/danfo.series.head.md               |  25 +
 api-reference copy/series/danfo.series.map.md |  42 ++
 api-reference copy/series/danfo.series.max.md |   2 +
 .../series/danfo.series.maximum.md            |  22 +
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 api-reference copy/series/danfo.series.min.md |   2 +
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 .../series/danfo.series.tail.md               |  22 +
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 api-reference copy/series/series.append.md    | 135 ++++++
 api-reference copy/series/series.apply.md     | 149 ++++++
 api-reference copy/series/series.argmax.md    |  35 ++
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 api-reference copy/series/series.argsort.md   |  75 +++
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 .../series/series.drop_duplicates.md          | 121 +++++
 api-reference copy/series/series.dropna.md    |  91 ++++
 api-reference copy/series/series.dt.day.md    |  55 +++
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 .../series/series.dt.month_name.md            |  55 +++
 .../series/series.dt.monthday.md              |  55 +++
 api-reference copy/series/series.dt.second.md |  60 +++
 .../series/series.dt.weekdays.md              |  79 +++
 api-reference copy/series/series.dt.year.md   |  45 ++
 api-reference copy/series/series.dtype.md     |  34 ++
 api-reference copy/series/series.eq.md        |  95 ++++
 api-reference copy/series/series.fillna.md    | 106 ++++
 api-reference copy/series/series.ge.md        |  95 ++++
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 api-reference copy/series/series.head.md      |  51 ++
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 api-reference copy/series/series.std.md       |  37 ++
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diff --git a/api-reference copy/README.md b/api-reference copy/README.md
new file mode 100644
index 0000000..b5d5d28
--- /dev/null
+++ b/api-reference copy/README.md	
@@ -0,0 +1,54 @@
+---
+description: >-
+  This page gives an overview of all public danfo objects, functions and
+  methods. All classes and functions exposed in danfo.* namespace are public.
+---
+
+# API reference
+
+* [General Functions](general-functions/)
+  * [Data manipulations](general-functions/#data-manipulations)
+  * [Data Processing/Normalization](general-functions/#data-processing-normalization)
+  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
+* [Input/output](input-output/)
+  * [CSV](input-output/#csv)
+  * [JSON](input-output/#json)
+* [Series](series/)
+  * [Attributes](series/#attributes)
+  * [Conversion](series/#conversion)
+  * [Indexing, iteration](series/#indexing-iteration)
+  * [Binary operator functions](series/#binary-operator-functions)
+  * [Function application, GroupBy & window](series/#function-application-and-groupby)
+  * [Computations / descriptive stats](series/#computations-descriptive-stats)
+  * [Reindexing / selection / label manipulation](series/#reindexing-selection-label-manipulation)
+  * [Missing data handling](series/#missing-data-handling)
+  * [Reshaping, sorting](series/#reshaping-sorting)
+  * [Accessors](series/#accessors)
+  * [Serialization / IO / conversion](series/#serialization-io-conversion)
+* [DataFrame](dataframe/)
+  * [Attributes ](dataframe/#attributes)
+  * [Conversion](dataframe/#conversion)
+  * [Indexing, iteration](dataframe/#indexing-iteration)
+  * [Binary operator functions](dataframe/#binary-operator-functions)
+  * [Function application, GroupBy & window](dataframe/#function-application-and-groupby)
+  * [Computations / descriptive stats](dataframe/#computations-descriptive-stats)
+  * [Reindexing / selection / label manipulation](dataframe/#reindexing-selection-label-manipulation)
+  * [Missing data handling](dataframe/#missing-data-handling)
+  * [Reshaping, sorting, transposing](dataframe/#sorting-and-transposing)
+  * [Combining / comparing / joining / merging](dataframe/#combining-comparing-joining-merging)
+  * [Serialization / IO / conversion](dataframe/#serialization-io-conversion)
+* [Plotting](plotting/)
+  * [Line Charts](plotting/line-charts.md)
+  * [Bar Charts](plotting/bar-charts.md)
+  * [Scatter Plots](plotting/scatter-plots.md)
+  * [Histograms](plotting/histograms.md)
+  * [Pie Charts](plotting/pie-charts.md)
+  * [Tables](plotting/tables.md)
+  * [Box Plots](plotting/box-plots.md)
+  * [Violin Plots](plotting/violin-plots.md)
+  * [Timeseries Plots](plotting/timeseries-plots.md)
+* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
+  * [Indexing, iteration](groupby/#indexing-iteration)
+  * [Function application](groupby/#function-application)
+  * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
+
diff --git a/api-reference copy/configuration-options.md b/api-reference copy/configuration-options.md
new file mode 100644
index 0000000..f4c2136
--- /dev/null
+++ b/api-reference copy/configuration-options.md	
@@ -0,0 +1,128 @@
+---
+description: >-
+  This section describes all user configurable options available on
+  DataFrame/Series creation.
+---
+
+# Configuration Options
+
+On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
+
+| Parameter          | Description                                                                                                                                                                                                           |
+| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
+| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
+| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
+| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
+
+> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
+
+## Examples of setting configs
+
+### Add a DataFrame header
+
+```javascript
+ const data = {
+                "Name": ["Apples", "Mango", "Banana", "Pear"],
+                "Count": [21, 5, 30, 10],
+                "Price": [200, 300, 40, 250]
+            };
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔════════════════════════════════════════════════════════════════════════╗
+║                               THE HEADER                               ║
+║                   This is the table about something                    ║
+╟────────────┬───────────────────┬───────────────────┬───────────────────╢
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Configure column size and display format of DataFrame
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+};
+const df = new DataFrame(data, {
+    config: {
+        tableDisplayConfig: {
+            header: {
+                alignment: 'center',
+                content: 'THE HEADER\nThis is the table about something',
+            },
+            columns: [
+                { alignment: 'left' },
+                { alignment: 'center', width: 20 },
+                { alignment: 'right' },
+                { alignment: 'justify' }
+            ],
+        },
+    }
+});
+df.print()
+```
+
+```javascript
+╔══════════════════════════════════════════╗
+║                THE HEADER                ║
+║    This is the table about something     ║
+╟───┬──────────────────────┬───────┬───────╢
+║   │         Name         │ Count │ Price ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 0 │        Apples        │    21 │ 200   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 1 │        Mango         │     5 │ 300   ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 2 │        Banana        │    30 │ 40    ║
+╟───┼──────────────────────┼───────┼───────╢
+║ 3 │         Pear         │    10 │ 250   ║
+╚═══╧══════════════════════╧═══════╧═══════╝
+```
+
+### Configure the number of rows displayed when **print** is called
+
+```javascript
+const data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250],
+
+};
+const df = new DataFrame(data, {
+    config: {
+        tableMaxColInConsole: 6,
+        tableMaxRow: 1
+    }
+});
+df.print()
+```
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference copy/dataframe/README.md b/api-reference copy/dataframe/README.md
new file mode 100644
index 0000000..d48a28d
--- /dev/null
+++ b/api-reference copy/dataframe/README.md	
@@ -0,0 +1,145 @@
+---
+description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
+---
+
+# Dataframe
+
+> `DataFrame`(data, {\
+> &#x20;                               **columns:** \[ Array ],\
+> &#x20;                                **dtypes:** \[ Array ], **** \
+> &#x20;                                **index:** \[Array], \
+> &#x20;                                **options**: Object})
+
+### Attributes
+
+| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
+| ------------------------------------------------ | ---------------------------------------- |
+| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
+
+| [`DataFrame.ctypes`](dataframe.dtypes.md)                | Return the data types in the DataFrame.                                |
+| -------------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.select_dtypes`](dataframe.select\_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
+| [`DataFrame.values`](dataframe.values.md)                | Return a Numpy representation of the DataFrame.                        |
+| [`DataFrame.axes`](dataframe.axes.md)                    | Return a Object representing the axes of the DataFrame.                |
+| [`DataFrame.ndim`](dataframe.ndim.md)                    | Return an int representing the number of axes / array dimensions.      |
+| [`DataFrame.size`](broken-reference)                     | Return an int representing the number of elements in this object.      |
+| [`DataFrame.shape`](dataframe.shape.md)                  | Return a tuple representing the dimensionality of the DataFrame.       |
+
+### Conversion
+
+| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
+| ------------------------------------------- | -------------------------------------------------- |
+| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
+
+### Indexing, iteration
+
+| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
+| --------------------------------------------- | ------------------------------------------------------------------ |
+| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
+| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
+| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
+
+### Binary operator functions
+
+| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
+| ----------------------------------------- | --------------------------------------------------------------------------------------- |
+| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
+| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
+| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
+| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
+| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
+| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
+| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
+| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
+| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
+| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
+| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
+
+### Function application & GroupBy
+
+| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
+| --------------------------------------------- | --------------------------------------------------------- |
+| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
+| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
+
+### Computations / descriptive stats
+
+| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
+| --------------------------------------------------- | ---------------------------------------------------------------------- |
+| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
+| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
+| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
+| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
+| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
+| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
+| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
+| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
+| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
+| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
+| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
+| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
+| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
+| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
+| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
+| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
+| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
+
+### Reindexing / selection / label manipulation
+
+|                                                      |                                                         |
+| ---------------------------------------------------- | ------------------------------------------------------- |
+| [`DataFrame.drop`](dataframe.drop.md)                | Drop specified labels from rows or columns.             |
+| [`DataFrame.head`](danfo.dataframe.head.md)          | Return the first n rows.                                |
+| [`DataFrame.rename`](dataframe.rename.md)            | Alter axes labels.                                      |
+| [`DataFrame.reset_index`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
+| [`DataFrame.sample`](danfo.dataframe.sample.md)      | Return a random sample of items from an axis of object. |
+| [`DataFrame.set_index`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)          | Return the last n rows.                                 |
+
+### Missing data handling
+
+|                                                   |                                             |
+| ------------------------------------------------- | ------------------------------------------- |
+| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
+| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
+| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
+| [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
+
+### Sorting & transposing
+
+|                                                                                                                        |                                       |
+| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| [`DataFrame.sort_values`](dataframe.sort\_values.md)                                                                   | Sort by the values along either axis. |
+| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
+
+### Combining / comparing / joining / merging
+
+|                                                            |                                                                     |
+| ---------------------------------------------------------- | ------------------------------------------------------------------- |
+| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
+| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
+| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
+
+### Plotting
+
+`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
+
+|                                                          |                                                               |
+| -------------------------------------------------------- | ------------------------------------------------------------- |
+| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
+| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
+| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
+| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
+
+### Serialization / IO / conversion
+
+|                                              |                                                      |
+| -------------------------------------------- | ---------------------------------------------------- |
+| [`DataFrame.to_csv`](dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`DataFrame.to_json`](dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference copy/dataframe/creating-a-dataframe.md b/api-reference copy/dataframe/creating-a-dataframe.md
new file mode 100644
index 0000000..0228131
--- /dev/null
+++ b/api-reference copy/dataframe/creating-a-dataframe.md	
@@ -0,0 +1,355 @@
+---
+description: Creates a DataFrame object from flat structure
+---
+
+# Creating a DataFrame
+
+new danfo.**DataFrame**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>columns:</b> Array of column names. If not specified, column names are
+          auto generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
+In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
+
+### Creating a `DataFrame` from a JSON object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+df = new dfd.DataFrame(json_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Creating a `DataFrame` from an array of array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
+let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` from a 2D tensor
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const tf = require("@tensorflow/tfjs-node")
+
+
+let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
+let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
+df.print()
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ int32                ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+```
+
+### Creating a `DataFrame` from an object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+console.log(dates);
+
+obj_data = {'A': dates,
+            'B': ["bval1", "bval2", "bval3", "bval4"],
+            'C': [10, 20, 30, 40],
+            'D': [1.2, 3.45, 60.1, 45],
+            'E': ["test", "train", "test", "train"]
+            }
+
+df = new dfd.DataFrame(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+
+        console.log(dates);
+
+        obj_data = {'A': dates,
+                    'B': ["bval1", "bval2", "bval3", "bval4"],
+                    'C': [10, 20, 30, 40],
+                    'D': [1.2, 3.45, 60.1, 45],
+                    'E': ["test", "train", "test", "train"]
+                    }
+
+        df = new dfd.DataFrame(obj_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//output in console
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying index, dtypes, columns
+
+You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
+
+> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+let index = ["a", "b"];
+let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
+let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
+
+let df = new DataFrame(data1, { index, columns, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+### Creating a `DataFrame` and specifying memory mode
+
+To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { DataFrame } from "danfojs"
+
+let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
+
+let df = new DataFrame(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
+{% endhint %}
+
+For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.abs.md b/api-reference copy/dataframe/danfo.dataframe.abs.md
new file mode 100644
index 0000000..8504222
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.abs.md	
@@ -0,0 +1,74 @@
+---
+description: Return a DataFrame with the absolute numeric value of each element.
+---
+
+# DataFrame.abs
+
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+             
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_abs = df.abs()
+df_abs.abs().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after applying abs function
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20.1              │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 20                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.add.md b/api-reference copy/dataframe/danfo.dataframe.add.md
new file mode 100644
index 0000000..925a3cd
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.add.md	
@@ -0,0 +1,246 @@
+---
+description: Get Addition of DataFrame and other, element-wise (binary operator add).
+---
+
+# DataFrame.add
+
+danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Addition of **scalar to** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.add(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 12                │ 25                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 47                │ 22                ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 58                │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ 26                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of  **Series to** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.add(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 5                 │ 8                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 8                 │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 9                 │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 5                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of  ****  DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.add(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 2                 │ 22                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 9                 │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 25                │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition of **** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.add(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Addition works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.add(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 12                │ 25                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 47                │ 22                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 58                │ 12                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 12                │ 26                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.addcolumn.md b/api-reference copy/dataframe/danfo.dataframe.addcolumn.md
new file mode 100644
index 0000000..ef0ecc9
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.addcolumn.md	
@@ -0,0 +1,118 @@
+---
+description: Add new column to a DataFrame
+---
+
+# DataFrame.addColumn
+
+danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
+
+**Returns:**
+
+## **Examples**
+
+## **Add Array as a new column to DataFrame**
+
+New columns get added at the end of the DataFrame, and this happens so returns nothing,
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3], 
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_col = [1, 2, 3, 4]
+df.addColumn({ "column": "D", "values": new_col, inplace: true });
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Add Series as a new column to DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3], 
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+
+let df = new dfd.DataFrame(data)
+let s = new dfd.Series([1, 2, 3, 4])
+df.addColumn({ "column": "D", "values": s, inplace: true });
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.apply.md b/api-reference copy/dataframe/danfo.dataframe.apply.md
new file mode 100644
index 0000000..de42294
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.apply.md	
@@ -0,0 +1,106 @@
+---
+description: Apply a function to each element or along a specified axis of a DataFrame.
+---
+
+# DataFrame.apply
+
+danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Apply a  function along default axis 1 (columns)
+
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
+}
+
+let df_new = df.apply(sum_vals, { axis: 1 })
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ A │ 64  ║
+╟───┼─────╢
+║ B │ 126 ║
+╟───┼─────╢
+║ C │ 127 ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Apply a  function along  axis 0 (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+function sum_vals(col) {
+    return col.reduce((a, b) => a + b, 0);
+}
+
+let df_new = df.apply(sum_vals, { axis: 0 })
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 0 │ 6   ║
+╟───┼─────╢
+║ 1 │ 15  ║
+╟───┼─────╢
+║ 2 │ 90  ║
+╟───┼─────╢
+║ 3 │ 206 ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.column.md b/api-reference copy/dataframe/danfo.dataframe.column.md
new file mode 100644
index 0000000..7d963a2
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.column.md	
@@ -0,0 +1,72 @@
+---
+description: Return the elements of the specified column in the DataFrame
+---
+
+# DataFrame.column
+
+danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
+
+| Parameters | Type   | Description                           | Default |
+| ---------- | ------ | ------------------------------------- | ------- |
+| column     | String | The name of a column in the DataFrame |         |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## **Select a single column from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = { "Name": ["Apples", "App", "Banana", undefined],
+            "Count": [NaN, 5, NaN, 10] ,
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+
+df.column("Name").print()
+
+//Alternatively, you can retrieve columns by using the object property
+df['Name'].print() //produces the same result as above
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
+╔═══╤═══════════╗
+║ 0 │ Apples    ║
+╟───┼───────────╢
+║ 1 │ App       ║
+╟───┼───────────╢
+║ 2 │ Banana    ║
+╟───┼───────────╢
+║ 3 │ undefined ║
+╚═══╧═══════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
diff --git a/api-reference copy/dataframe/danfo.dataframe.copy.md b/api-reference copy/dataframe/danfo.dataframe.copy.md
new file mode 100644
index 0000000..188179d
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.copy.md	
@@ -0,0 +1,53 @@
+---
+description: Makes a new copy of the DataFrame
+---
+
+# DataFrame.copy
+
+danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+
+**Returns:**
+
+&#x20;      ****       return **new DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+let new_df = df.copy()
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.count.md b/api-reference copy/dataframe/danfo.dataframe.count.md
new file mode 100644
index 0000000..637cbf4
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.count.md	
@@ -0,0 +1,100 @@
+---
+description: >-
+  Count non-NaN cells for each column or row. The values NaN and undefined are
+  considered NaN
+---
+
+# DataFrame.count
+
+danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Count Non-NaN values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", undefined],
+           "Count": [NaN, 5, NaN, 10],
+           "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.count().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══════╤══════════════════════╗
+║       │ 0                    ║
+╟───────┼──────────────────────╢
+║ Name  │ 3                    ║
+╟───────┼──────────────────────╢
+║ Count │ 2                    ║
+╟───────┼──────────────────────╢
+║ Price │ 4                    ║
+╚═══════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Count Non-NaN values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", undefined],
+           "Count": [NaN, 5, NaN, 10],
+           "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.count({axis: 0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 3                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.cummax.md b/api-reference copy/dataframe/danfo.dataframe.cummax.md
new file mode 100644
index 0000000..fb69bb5
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.cummax.md	
@@ -0,0 +1,99 @@
+---
+description: Return cumulative maximum over a DataFrame or Series axis.
+---
+
+# DataFrame.cummax
+
+danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+## Cumulative maximum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummax({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 11                │ 20                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 11                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 11                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative maximum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummax({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 15                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 89                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cummin.md b/api-reference copy/dataframe/danfo.dataframe.cummin.md
new file mode 100644
index 0000000..be026a6
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.cummin.md	
@@ -0,0 +1,99 @@
+---
+description: Return cumulative minimum over a DataFrame or Series axis.
+---
+
+# DataFrame.cummin
+
+danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+## Cumulative minimum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummin({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 15                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 1                 │ 15                │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative minimum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cummin({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 11                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 2                 │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cumprod.md b/api-reference copy/dataframe/danfo.dataframe.cumprod.md
new file mode 100644
index 0000000..06ad53a
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.cumprod.md	
@@ -0,0 +1,99 @@
+---
+description: Return cumulative product over a DataFrame or Series axis.
+---
+
+# DataFrame.cumprod
+
+danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+## Cumulative product of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumprod()
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 10                │ 18                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 300               │ 720               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 4                 │ 26700             │ 56160             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative product of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumprod({axis: 1})
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 60                │ 2400              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 178               │ 13884             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cumsum.md b/api-reference copy/dataframe/danfo.dataframe.cumsum.md
new file mode 100644
index 0000000..07be896
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.cumsum.md	
@@ -0,0 +1,99 @@
+---
+description: Return cumulative sum over a DataFrame or Series axis.
+---
+
+# DataFrame.cumsum
+
+danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+
+| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+## Cumulative sum of elements along default axis (row)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumsum({ axis: 0 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 12                │ 35                │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 14                │ 65                │ 49                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 16                │ 154               │ 127               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Cumulative sum of elements along column axis (1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let new_df = df.cumsum({ axis: 1 })
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 31                │ 34                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 16                │ 22                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 32                │ 72                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 91                │ 169               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.describe.md b/api-reference copy/dataframe/danfo.dataframe.describe.md
new file mode 100644
index 0000000..0540873
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.describe.md	
@@ -0,0 +1,61 @@
+---
+description: >-
+  Generate descriptive statistics for each numeric column. Numeric columns are
+  of type Int and float.
+---
+
+# DataFrame.describe
+
+danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
+let col_names = ["col1", "col2", "col3", "col4"]
+let df = new dfd.DataFrame(data, {columns: col_names})
+
+df.describe().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ col1              │ col2              │ col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ count      │ 3                 │ 3                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ min        │ 0                 │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ median     │ 2                 │ 4                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ max        │ 360               │ 180               │ 360               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
diff --git a/api-reference copy/dataframe/danfo.dataframe.div.md b/api-reference copy/dataframe/danfo.dataframe.div.md
new file mode 100644
index 0000000..c98c66e
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.div.md	
@@ -0,0 +1,254 @@
+---
+description: >-
+  Get Float division of DataFrame and other, element-wise (binary operator
+  truediv).
+---
+
+# DataFrame.div
+
+danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Division of **scalar with** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.div(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of  **Series with** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.div(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0.25              │ 0.6000000238418…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0.4000000059604…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1.25              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0.25              │ 0.8000000119209…  ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of  ****  DataFrame **with** a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.div(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0.1000000014901…  ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0.8000000119209…  │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0.25              │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division of **** Array **with** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.div(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Division works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.div(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 5                 │ 11.5              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 22.5              │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 28                │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 5                 │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.dropna.md b/api-reference copy/dataframe/danfo.dataframe.dropna.md
new file mode 100644
index 0000000..429bcbe
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.dropna.md	
@@ -0,0 +1,96 @@
+---
+description: Remove missing values (NaNs, undefined, null) for DataFrame
+---
+
+# DataFrame.dropna
+
+danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
+
+| Parameters | Type   | Description                                                                                                                   | Default              |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
+| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
+| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace:** false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Drop rows (axis=0) with missing values &#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.print()
+
+let df_drop = df.dropna(0)
+df_drop.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop columns (axis=1) with missing values &#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.print()
+
+df.dropna({axis: 1, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╗
+║   │ C                 ║
+╟───┼───────────────────╢
+║ 0 │ 3                 ║
+╟───┼───────────────────╢
+║ 1 │ 6                 ║
+╟───┼───────────────────╢
+║ 2 │ 40                ║
+╟───┼───────────────────╢
+║ 3 │ 78                ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.eq.md b/api-reference copy/dataframe/danfo.dataframe.eq.md
new file mode 100644
index 0000000..5f3cf2a
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.eq.md	
@@ -0,0 +1,190 @@
+---
+description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.eq
+
+danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+****
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.eq(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.eq(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.eq(df2)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.eq(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.fillna.md b/api-reference copy/dataframe/danfo.dataframe.fillna.md
new file mode 100644
index 0000000..2ddb860
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.fillna.md	
@@ -0,0 +1,178 @@
+---
+description: >-
+  Fill NaN/undefined values using the specified method. Detect missing values
+  for an array-like object.
+---
+
+# DataFrame.fillna
+
+danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
+
+| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
+| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Fill missing values in specified columns with specified values&#x20;
+
+Missing values are NaN, undefined or null values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let values = ["Apples", df["Count"].mean()]
+let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
+df_filled.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Before filling
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ NaN               │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ NaN               │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ NaN               │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After filling
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 7.5               │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 7.5               │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill all columns with NaNs with a specified value&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+let df_filled = df.fillna("Apples")
+
+df_filled.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ Apples            │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill NaNs inplace&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {
+    "Name": ["Apples", "Mango", "Banana", undefined],
+    "Count": [NaN, 5, NaN, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data)
+let values = ["Apples", df["Count"].mean()]
+df.fillna(values, {
+    columns: ["Name", "Count"],
+    inplace: true
+})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ Apples            │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ Apples            │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Apples            │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.ge.md b/api-reference copy/dataframe/danfo.dataframe.ge.md
new file mode 100644
index 0000000..8e5401b
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.ge.md	
@@ -0,0 +1,195 @@
+---
+description: >-
+  Get Greater or Equal to of DataFrame and other, element-wise (binary operator
+  eq).
+---
+
+# DataFrame.ge
+
+danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;    **DataFrame**
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.ge(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.ge(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.ge(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.ge(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.groupby.md b/api-reference copy/dataframe/danfo.dataframe.groupby.md
new file mode 100644
index 0000000..e7d084f
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.groupby.md	
@@ -0,0 +1,148 @@
+---
+description: Group DataFrame using a mapper or by a Series of columns.
+---
+
+# DataFrame.groupby
+
+danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
+
+| Parameters | Type  | Description                                           | Default |
+| ---------- | ----- | ----------------------------------------------------- | ------- |
+| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame.groups**
+
+## **Examples**
+
+## **Groupby a single column from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"])
+console.log(group_df)
+
+//GroupBy Object
+GroupBy {
+  key_col: [ 'A' ],
+  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
+  data: [
+    [ 'Pear', 2, 3 ],
+    [ 'Pear', 5, 6 ],
+    [ 'Apple', 30, 40 ],
+    [ 'Apple', 89, 78 ]
+  ],
+  column_name: [ 'A', 'B', 'C' ],
+  data_tensors: {
+    Pear: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+      '$index': [Array],
+      '$dtypes': [Array],
+      '$columns': [Array]
+    },
+    Apple: DataFrame {
+      '$isSeries': false,
+      '$config': [Configs],
+      '$data': [Array],
+      '$dataIncolumnFormat': [Array],
+       ...
+      '$columns': [Array]
+    }
+  },
+  col_dtype: [ 'string' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
+
+1. [count](danfo.dataframe.count.md)
+2. [sum](danfo.dataframe.sum.md)
+3. [std](danfo.dataframe.std.md)
+4. [var](danfo.dataframe.var.md)
+5. [mean](danfo.dataframe.mean.md)
+6. [cumsum](danfo.dataframe.cumsum.md)&#x20;
+7. [cummax](danfo.dataframe.cummax.md)
+8. [cumprod](danfo.dataframe.cumprod.md)
+9. [cummin](danfo.dataframe.cummin.md)
+10. [max](danfo.dataframe.max.md)
+11. [min](danfo.dataframe.min.md)
+
+## Example of Groupby and apply a sum function
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A"]).sum()
+
+group_df.print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B_sum             │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 119               │ 118               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+## **Groupby a two columns from a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+let group_df = df.groupby(["A", "B"]).sum()
+
+group_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Pear              │ 2                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Apple             │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Apple             │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference copy/dataframe/danfo.dataframe.gt.md b/api-reference copy/dataframe/danfo.dataframe.gt.md
new file mode 100644
index 0000000..ec3f7ba
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.gt.md	
@@ -0,0 +1,191 @@
+---
+description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.gt
+
+danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.gt(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.gt(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.gt(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.gt(val, axis=1)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.head.md b/api-reference copy/dataframe/danfo.dataframe.head.md
new file mode 100644
index 0000000..3fe62c4
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.head.md	
@@ -0,0 +1,53 @@
+---
+description: Returns the first n rows of the DataFrame based on position.
+---
+
+# DataFrame.head
+
+danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let s_df = df.head(2)
+s_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.iloc.md b/api-reference copy/dataframe/danfo.dataframe.iloc.md
new file mode 100644
index 0000000..ffd7e25
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.iloc.md	
@@ -0,0 +1,331 @@
+---
+description: Purely integer-location based indexing for selection by position.
+---
+
+# DataFrame.iloc
+
+danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                         | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `5`.
+* A list or array of integers, e.g. `[4, 3, 0]`.
+* A string slice object with ints, e.g. `"1:7"`
+* A boolean array.
+
+_**Note:** only the start index is included._
+
+`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
+
+### **Indexing specific rows by index and return all columns**
+
+If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: [0,1,3]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row and return all columns**
+
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: ["1:3"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of column and return all rows**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({columns: ["1:"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Indexing both axes by the specified index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let sub_df = df.iloc({rows: [0,3], columns: [1,2]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after indexing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Indexing both axes by slices
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+╔═══╤═══════════════════╗
+║   │ Count             ║
+╟───┼───────────────────╢
+║ 2 │ 30                ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### More default slicing behavior
+
+If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
+sub_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.isna.md b/api-reference copy/dataframe/danfo.dataframe.isna.md
new file mode 100644
index 0000000..830bda5
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.isna.md	
@@ -0,0 +1,54 @@
+---
+description: >-
+  Return a boolean same-sized object indicating if the values are NaN.
+  NaN/undefined values gets mapped to true values, and everything else gets
+  mapped to false values.
+---
+
+# DataFrame.isna
+
+danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.isna().print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ false             │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ true              │ false             │ false             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.it.md b/api-reference copy/dataframe/danfo.dataframe.it.md
new file mode 100644
index 0000000..3759197
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.it.md	
@@ -0,0 +1,194 @@
+---
+description: Get Less than of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.It
+
+danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+           "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.lt(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10, 40])
+
+let df_rep = df.lt(sf, { axis: 1 })
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+         "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.lt(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with an Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.lt(val, axis=1)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.le.md b/api-reference copy/dataframe/danfo.dataframe.le.md
new file mode 100644
index 0000000..31ce3f7
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.le.md	
@@ -0,0 +1,194 @@
+---
+description: >-
+  Get Less than or Equal to of DataFrame and other, element-wise (binary
+  operator eq).
+---
+
+# DataFrame.le
+
+danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.le(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+            
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.le(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+              "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.le(df2)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with an Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10,40]
+
+let df_rep = df.le(val, {axis:1})
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.loc.md b/api-reference copy/dataframe/danfo.dataframe.loc.md
new file mode 100644
index 0000000..abdcdd9
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.loc.md	
@@ -0,0 +1,367 @@
+---
+description: Access a group of rows and columns by label(s)
+---
+
+# DataFrame.loc
+
+danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                            | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+`.loc()` is  label position based-from `0` to `length-1` of the row axis.
+
+Allowed inputs for are:
+
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
+
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
+
+### **Index by specific rows and return all columns**
+
+If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.print()
+let sub_df = df.loc({rows: ["a", "c"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a list of column names and return all rows**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.print()
+let sub_df = df.loc({columns: ["Count", "Price"]})
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after indexing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ a │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────╢
+║ b │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────╢
+║ c │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ d │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Index both axes by the specified labels
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+df.print()
+let sub_df = df.loc({ rows: ["c","d"], columns: ["Name", "Price"] })
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ Mango             │ 5                 │ 300               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//after slicing
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ c │ Banana            │ 40                ║
+╟───┼───────────────────┼───────────────────╢
+║ d │ Pear              │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+df.print()
+let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
+sub_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Price             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 200               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 300               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+df`.loc({ row: [a:e]}).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+df``.loc({ row: [`"a":"e"`]}).print()``\
+\
+_**Inner**_ _**quotes are not needed for numeric indices!**_
+{% endhint %}
+
+### Slice DataFrame rows by boolean condition&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let sub_df = df.loc({ rows: df["Count"].gt(6) })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
+### Slice DataFrame rows by multiple boolean conditions
+
+{% hint style="info" %}
+_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame._&#x20;
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+let condition = df["Count"].gt(6).and(df["Price"].lt(250))
+let sub_df = df.loc({ rows: condition })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ Apples            │ 21                │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+### Slice DataFrame with boolean mask
+
+{% hint style="info" %}
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._&#x20;
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
+
+let sub_df = df.loc({ rows: [false, true, true, true] })
+sub_df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d          │ Pear              │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
diff --git a/api-reference copy/dataframe/danfo.dataframe.max.md b/api-reference copy/dataframe/danfo.dataframe.max.md
new file mode 100644
index 0000000..a5c2119
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.max.md	
@@ -0,0 +1,118 @@
+---
+description: Return the maximum of the values for the requested axis.
+---
+
+# DataFrame.max
+
+danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Return the maximum value along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.max().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 11                   ║
+╟───┼──────────────────────╢
+║ B │ 89                   ║
+╟───┼──────────────────────╢
+║ C │ 78                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Return the maximum value along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.max({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 20                   ║
+╟───┼──────────────────────╢
+║ 1 │ 15                   ║
+╟───┼──────────────────────╢
+║ 2 │ 40                   ║
+╟───┼──────────────────────╢
+║ 3 │ 89                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.mean.md b/api-reference copy/dataframe/danfo.dataframe.mean.md
new file mode 100644
index 0000000..172cff5
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.mean.md	
@@ -0,0 +1,120 @@
+---
+description: Return the mean of the values for the requested axis.
+---
+
+# DataFrame.mean
+
+danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Computes the mean of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.mean().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 4                    ║
+╟───┼──────────────────────╢
+║ B │ 38.5                 ║
+╟───┼──────────────────────╢
+║ C │ 31.75                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Computes the mean of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.mean({ axis: 0 }).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 11.333333015441895   ║
+╟───┼──────────────────────╢
+║ 1 │ 7.333333492279053    ║
+╟───┼──────────────────────╢
+║ 2 │ 24                   ║
+╟───┼──────────────────────╢
+║ 3 │ 56.33333206176758    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.median.md b/api-reference copy/dataframe/danfo.dataframe.median.md
new file mode 100644
index 0000000..3e33583
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.median.md	
@@ -0,0 +1,120 @@
+---
+description: Return the median of the values for the requested axis.
+---
+
+# DataFrame.median
+
+danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Calculates the median of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.median().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 2                    ║
+╟───┼──────────────────────╢
+║ B │ 25                   ║
+╟───┼──────────────────────╢
+║ C │ 23                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculates the median of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.median({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 11                   ║
+╟───┼──────────────────────╢
+║ 1 │ 6                    ║
+╟───┼──────────────────────╢
+║ 2 │ 30                   ║
+╟───┼──────────────────────╢
+║ 3 │ 78                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.min.md b/api-reference copy/dataframe/danfo.dataframe.min.md
new file mode 100644
index 0000000..49a13d6
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.min.md	
@@ -0,0 +1,120 @@
+---
+description: Return the minimum of the values for the requested axis.
+---
+
+# DataFrame.min
+
+danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Returns the minimum value along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+
+let df = new dfd.DataFrame(data)
+df.min().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ 1                    ║
+╟───┼──────────────────────╢
+║ B │ 15                   ║
+╟───┼──────────────────────╢
+║ C │ 3                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Return the minimum value along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+df.print()
+let df = new dfd.DataFrame(data)
+df.min({axis: 0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11                │ 20                │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15                │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 2                 │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.mod.md b/api-reference copy/dataframe/danfo.dataframe.mod.md
new file mode 100644
index 0000000..18558e6
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.mod.md	
@@ -0,0 +1,258 @@
+---
+description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
+---
+
+# DataFrame.mod
+
+danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Modulo of **scalar with** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.mod(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of  **Series with** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.mod(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1                 │ 4                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of  ****  DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.mod(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 4                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 5                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo of **** Array with DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.mod(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Modulo works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.mod(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.mul.md b/api-reference copy/dataframe/danfo.dataframe.mul.md
new file mode 100644
index 0000000..3303d77
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.mul.md	
@@ -0,0 +1,252 @@
+---
+description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
+---
+
+# DataFrame.mul
+
+danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Multiplication of **scalar to** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.mul(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of  **Series to** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.mul(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 4                 │ 15                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 16                │ 10                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 4                 │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of  ****  DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.mul(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 20                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 100               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 8                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication of **** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.mul(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Multiplication works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.mul(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20                │ 46                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 90                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 112               │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 48                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.ne.md b/api-reference copy/dataframe/danfo.dataframe.ne.md
new file mode 100644
index 0000000..dd45cf0
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.ne.md	
@@ -0,0 +1,187 @@
+---
+description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
+---
+
+# DataFrame.ne
+
+danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type                             | Description                                                 | Default   |
+| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
+| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
+| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+
+**Returns:**
+
+****
+
+## **Examples**
+
+### Comparing **** DataFrame with a scalar value:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.ne(20)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ false             ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ true              │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a Series along the column axis:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([10,40])
+
+let df_rep = df.ne(sf, {axis:1})
+
+df_rep.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ true              ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let data2 = {"new_col1": [10, 45, 200, 10],
+            "new_Col2": [230, 200, 110, 24]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_rep = df.ne(df2)
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ true              │ true              ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ false             │ false             ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Comparing **** DataFrame with a JavaScript Array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"Col1": [10, 45, 56, 10],
+            "Col2": [23, 20, 10, 24]}
+let df = new dfd.DataFrame(data)
+let val = [10, 40, 30, 20]
+
+let df_rep = df.le(val)
+
+df_rep.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ true              │ false             │ false             │ true              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ false             │ true              │ true              │ false             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.pow.md b/api-reference copy/dataframe/danfo.dataframe.pow.md
new file mode 100644
index 0000000..e6f1e6c
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.pow.md	
@@ -0,0 +1,260 @@
+---
+description: >-
+  Get Exponential power of dataframe and other, element-wise (binary operator
+  pow).
+---
+
+# DataFrame.pow
+
+danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Exponential of **scalar with** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.pow(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of  **Series with** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.pow(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 243               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 256               │ 32                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 625               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1                 │ 1024              ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of  ****  DataFrame with a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.pow(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 1048576           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1024              │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 95367433551872    │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 16                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential of **** Array with DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.pow(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Exponential works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.pow(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 529               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 2025              │ 400               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 3136              │ 100               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 100               │ 576               ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.query.md b/api-reference copy/dataframe/danfo.dataframe.query.md
new file mode 100644
index 0000000..129c8e7
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.query.md	
@@ -0,0 +1,278 @@
+---
+description: >-
+  Query the DataFrame by the result of a logical comparison or boolean mask.
+  Supports logical operations like (">", "<", ">=", "<=", and. "==")
+---
+
+# DataFrame.query
+
+danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
+| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
+
+**Returns:**
+
+&#x20;      ****       return **new DataFrame**
+
+## **Examples**
+
+## **Query a DataFrame using a boolean mask**
+
+{% hint style="info" %}
+Querying by a boolean condition is supported from v0.3.0 and above.
+{% endhint %}
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5) })
+query_df.print() //after query
+```
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 20                │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+
+```javascript
+let data = {
+    "A": ["Ng", "Yu", "Mo", "Ng"],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
+let df = new dfd.DataFrame(data)
+
+let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
+query_df.print() //after query
+
+//output
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Ng                │ 34                │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+
+## **Query a DataFrame using logical operators**
+
+To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print() //before query
+
+let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
+query_df.print() //after query
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//before query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 4                 │ 5                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 20                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 20                │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 39                │ 89                │ 78                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
+query_df.print() //after query
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Query by a string column in a DataFrame**
+
+The query method also works on string columns.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": ["Ng", "Yu", "Mo", "Ng"],
+            "B": [34, 4, 5, 6], 
+            "C": [20, 20, 30, 40]}
+            
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let query_df = df.query({ column: "A", is: "==", to: "Ng"})
+query_df.print() //after query
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ Yu                │ 4                 │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Mo                │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//after query
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Ng                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Ng                │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Query a DataFrame inplace**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [30, 1, 2, 3],
+           "B": [34, 4, 5, 6],
+           "C": [20, 20, 30, 40]}
+           
+let cols = ["A", "B", "C"]
+let df = new dfd.DataFrame(data, { columns: cols })
+
+df.query({
+    column: "B",
+    is: ">",
+    to: 5,
+    inplace: true
+})
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 30                │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 3                 │ 6                 │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.replace.md b/api-reference copy/dataframe/danfo.dataframe.replace.md
new file mode 100644
index 0000000..82fa16d
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.replace.md	
@@ -0,0 +1,102 @@
+---
+description: Replaces values in a DataFrame with specified values
+---
+
+# DataFrame.replace
+
+> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
+
+| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
+| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
+| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
+| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
+| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+****
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_rep = df.replace(10, -999, { columns: ["Col1"] })
+
+df_rep.print()
+ 
+ 
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Col1              │ Col2              ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ -999              │ 23                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 45                │ 20                ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 56                │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ -999              │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+By not specifying a **** column**,** the **** replace works on all columns ****&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
+let df = new dfd.DataFrame(data)
+//replace value in all column
+let df_rep = df.replace("A", "BOY")
+
+df_rep.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ B                 │ C                 │ C                 │ D                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.round.md b/api-reference copy/dataframe/danfo.dataframe.round.md
new file mode 100644
index 0000000..e12cb52
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.round.md	
@@ -0,0 +1,128 @@
+---
+description: Round elements in a DataFrame to a specified number of decimal places.
+---
+
+# DataFrame.round
+
+danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                                        | Default            |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
+| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+## Round elements to 1dp (Default)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
+
+let new_df = df.round()
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.234            ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after round
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1              │ 3.6               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.1               │ 40.2              ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Round elements to a specified number of decimal places
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
+
+let new_df = df.round(2)
+
+new_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.234            ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after round operation 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 11.2              │ 20.12             │ 3.57              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 1                 │ 15.1              │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 3.09              │ 40.23             ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
diff --git a/api-reference copy/dataframe/danfo.dataframe.sample.md b/api-reference copy/dataframe/danfo.dataframe.sample.md
new file mode 100644
index 0000000..b8a4c96
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.sample.md	
@@ -0,0 +1,112 @@
+---
+description: Return a random sample of rows from DataFrame.
+---
+
+# DataFrame.sample
+
+danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
+
+| Parameters | Type | Description                                                                                                                        | Default |
+| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
+| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
+
+**Returns:**
+
+&#x20;      ****       return **{Promies} resolves to DataFrame**
+
+****
+
+## Sample a DataFrame randomly
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+  let data = {
+    Name: ["Apples", "Mango", "Banana", "Pear"],
+    Count: [21, 5, 30, 10],
+    Price: [200, 300, 40, 250],
+  };
+
+  let df = new dfd.DataFrame(data);
+  let s_df = await df.sample(2);
+  s_df.print();
+  
+}
+
+load_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ Apples            │ 21                │ 200               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Sample a DataFrame randomly with seed
+
+By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data = {
+        Name: ["Apples", "Mango", "Banana", "Pear"],
+        Count: [21, 5, 30, 10],
+        Price: [200, 300, 40, 250],
+    };
+
+    let df = new dfd.DataFrame(data);
+    let s_df = await df.sample(3, { seed: 2 });
+    s_df.print();
+
+}
+
+load_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 21                │ 200               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.std.md b/api-reference copy/dataframe/danfo.dataframe.std.md
new file mode 100644
index 0000000..1a37e2e
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.std.md	
@@ -0,0 +1,94 @@
+---
+description: Return sample standard deviation over requested axis.
+---
+
+# DataFrame.std
+
+danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Calculates the standard deviation of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.std().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4.69041575982343     ║
+╟───┼──────────────────────╢
+║ 1 │ 34.23935357645254    ║
+╟───┼──────────────────────╢
+║ 2 │ 35.103418636936205   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculates the standard deviation of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.std({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 8.504900548115383    ║
+╟───┼──────────────────────╢
+║ 1 │ 7.094598884597588    ║
+╟───┼──────────────────────╢
+║ 2 │ 19.697715603592208   ║
+╟───┼──────────────────────╢
+║ 3 │ 47.37439533475159    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+##
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.sub.md b/api-reference copy/dataframe/danfo.dataframe.sub.md
new file mode 100644
index 0000000..e36ddcc
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.sub.md	
@@ -0,0 +1,250 @@
+---
+description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
+---
+
+# DataFrame.sub
+
+danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Subtraction of **scalar to** DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+
+let df_new = df.sub(2)
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of  **Series to** DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [1, 4, 5, 1],
+    "Col2": [3, 2, 0, 4]
+}
+
+let df = new dfd.DataFrame(data)
+let sf = new dfd.Series([4, 5])
+
+let df_new = df.sub(sf, { axis: 1 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ -3                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ -3                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ -5                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -3                │ -1                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of  ****  DataFrame to a DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = {"Col1": [1, 4, 5, 0], 
+            "Col2": [2, 0, 1, 4]}
+            
+let data2 = {"new_col1": [1, 5, 20, 10],
+             "new_Col2": [20, 2, 1, 2]}
+
+let df = new dfd.DataFrame(data)
+let df2 = new dfd.DataFrame(data2)
+
+let df_new = df.sub(df2)
+
+df_new.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 0                 │ -18               ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ -1                │ -2                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ -15               │ 0                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ -10               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction of **** Array to DataFrame along axis 0
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+let df_new = df.sub(val, { axis: 0 })
+
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Subtraction works inplace
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+
+let df = new dfd.DataFrame(data)
+let val = [2, 2, 2, 2]
+
+df.sub(val, { axis: 0, inplace: true })
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 8                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 43                │ 18                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 54                │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 8                 │ 22                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/dataframe/danfo.dataframe.sum.md b/api-reference copy/dataframe/danfo.dataframe.sum.md
new file mode 100644
index 0000000..3937d3f
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.sum.md	
@@ -0,0 +1,121 @@
+---
+description: Return the sum of the values for the requested axis.
+---
+
+# DataFrame.sum
+
+danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Sum elements along default axis (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_sum = df.sum()
+df_sum.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20.1             │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ -20               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ -20               │ 6                 │ -40               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════════════════════╗
+║ A │ 37.199999999999996 ║
+╟───┼────────────────────╢
+║ B │ 41                 ║
+╟───┼────────────────────╢
+║ C │ -10                ║
+╚═══╧════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Sum elements along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+             "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+df.print()
+
+let df_sum = df.sum({axis: 0})
+df_sum.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ sum                  ║
+╟───┼──────────────────────╢
+║ 0 │ 33.9                 ║
+╟───┼──────────────────────╢
+║ 1 │ 6                    ║
+╟───┼──────────────────────╢
+║ 2 │ 82.3                 ║
+╟───┼──────────────────────╢
+║ 3 │ -54                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.tail.md b/api-reference copy/dataframe/danfo.dataframe.tail.md
new file mode 100644
index 0000000..165acac
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.tail.md	
@@ -0,0 +1,53 @@
+---
+description: Returns the last n rows from the DataFrame based on position.
+---
+
+# DataFrame.tail
+
+danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+
+| Parameters | Type | Description                  | Default |
+| ---------- | ---- | ---------------------------- | ------- |
+| rows       | Int  | The number of rows to return | 5       |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
+            "Count": [21, 5, 30, 10],
+            "Price": [200, 300, 40, 250] }
+
+let df = new dfd.DataFrame(data)
+let s_df = df.tail(3)
+s_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Name              │ Count             │ Price             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ Banana            │ 30                │ 40                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ Pear              │ 10                │ 250               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.var.md b/api-reference copy/dataframe/danfo.dataframe.var.md
new file mode 100644
index 0000000..ea0daf2
--- /dev/null
+++ b/api-reference copy/dataframe/danfo.dataframe.var.md	
@@ -0,0 +1,94 @@
+---
+description: Return unbiased variance over requested axis.
+---
+
+# DataFrame.var
+
+danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+
+| Parameters | Type   | Description                                                                         | Default     |
+| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
+| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+## Calculate variance of values along default axis 1 (column)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.var().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 22                   ║
+╟───┼──────────────────────╢
+║ 1 │ 1172.3333333333333   ║
+╟───┼──────────────────────╢
+║ 2 │ 1232.25              ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## Calculate variance of values along row axis (0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data)
+df.var({axis:0}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 72.33333333333334    ║
+╟───┼──────────────────────╢
+║ 1 │ 50.33333333333333    ║
+╟───┼──────────────────────╢
+║ 2 │ 388                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2244.333333333333    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference copy/dataframe/dataframe.append.md b/api-reference copy/dataframe/dataframe.append.md
new file mode 100644
index 0000000..bc2e29d
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.append.md	
@@ -0,0 +1,76 @@
+---
+description: Adds new row to the end of a DataFrame
+---
+
+# DataFrame.append
+
+danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
+
+| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
+| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
+| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
+| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
+| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Appends a new row to the end of a DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = [[0, 2, 4, "b"],
+            [360, 180, 360, "a"],
+            [2, 4, 6, "c"]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_df = df.append([[20, 40, 60, "d"]], [3])
+new_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (4,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 20                │ 40                │ 60                │ d                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/dataframe/dataframe.apply_map.md b/api-reference copy/dataframe/dataframe.apply_map.md
new file mode 100644
index 0000000..3819821
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.apply_map.md	
@@ -0,0 +1,68 @@
+---
+description: Apply a function to a Dataframe values element-wise.
+---
+
+# DataFrame.apply\_map
+
+danfo.DataFrame.**apply\_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+
+| Parameters | Type     | Description                                                           | Default   |
+| ---------- | -------- | --------------------------------------------------------------------- | --------- |
+| callable   | Function | Function to apply to each column or row                               |           |
+| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Apply a  function to all values in a DataFrame
+
+{% hint style="info" %}
+Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.&#x20;
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    short_name: ["NG", "GH", "EGY", "SA"],
+    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
+}
+let df = new dfd.DataFrame(data)
+
+function lower(x) {
+    return `${x}`.toLowerCase()
+}
+
+let df_new = df.apply_map(lower)
+df_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ short_name        │ long_name         ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ ng                │ nigeria           ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ gh                │ ghana             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ egy               │ eqypt             ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ sa                │ south africa      ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.astype.md b/api-reference copy/dataframe/dataframe.astype.md
new file mode 100644
index 0000000..e6434dc
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.astype.md	
@@ -0,0 +1,222 @@
+---
+description: Cast column of a DataFrame to a specified dtype.
+---
+
+# DataFrame.astype
+
+danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Cast a float dtype column to int**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.print()
+df.ctypes.print()
+
+let df_new = df.astype({column: "A", dtype: "int32"})
+df_new.print()
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//before casting
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+
+
+ //after casting
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20.1              │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47                │ 5                 │ 30.3              │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ int32                ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Casting a string column of numbers to int**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["20", "13", "45", "90"] }
+
+let df = new dfd.DataFrame(data)
+let df_new = df.astype({column: "D", dtype: "int32"})
+df_new.print()
+
+df_new.ctypes.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ 13                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ 45                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+**Note:** Casting a string column of alphabets/words to numeric form will return NaNs as values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20.1, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6],
+             "C": [20.1, -20.23, 30.3, 40.11],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+let df_new = df.astype({column: "D", dtype: "int32"})
+df_new.print()
+
+df_new.ctypes.print()
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20.1              │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20.23            │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30.3              │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ float32              ║
+╟───┼──────────────────────╢
+║ D │ int32                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.axes.md b/api-reference copy/dataframe/dataframe.axes.md
new file mode 100644
index 0000000..399a0a4
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.axes.md	
@@ -0,0 +1,47 @@
+---
+description: >-
+  Return an Object containing the axes of the DataFrame. It has the row axis
+  labels and column axis labels as the only members. They are returned in that
+  order.
+---
+
+# DataFrame.axis
+
+danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+&#x20;      ****       return **Object**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+            
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+
+console.log(df.axis)
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.drop.md b/api-reference copy/dataframe/dataframe.drop.md
new file mode 100644
index 0000000..0b742aa
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.drop.md	
@@ -0,0 +1,143 @@
+---
+description: >-
+  Drop specified labels from rows or columns.Remove rows or columns by
+  specifying label names and corresponding axis.
+---
+
+# DataFrame.drop
+
+danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
+| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Drop columns by specifying the names
+
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20],
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.drop({ columns: ["C", "B"], inplace: true });
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ a                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ b                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ c                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop rows by specifying int labels/index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3, -20],
+    "B": [34, -4, 5, 6],
+    "C": [20, 20, 30, 30],
+    "D": ["a", "b", "c", "c"]
+}
+
+let df = new dfd.DataFrame(data)
+df.drop({ index: [0, 2], inplace: true });
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ 30                │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop rows by specifying string labels/index
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20],
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+df.drop({ index: ["a", "c"], inplace: true });
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 30                │ -4                │ 20                │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ d │ -20               │ 6                 │ 30                │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.dtypes.md b/api-reference copy/dataframe/dataframe.dtypes.md
new file mode 100644
index 0000000..791d296
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.dtypes.md	
@@ -0,0 +1,100 @@
+---
+description: >-
+  Return the inferred column types in the DataFrame. This returns a Series with
+  the data type of each column. The result’s index is the original DataFrame’s
+  columns.
+---
+
+# DataFrame.ctypes
+
+danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
+
+**Returns:**
+
+&#x20;      ****       return  **Series**
+
+## **Examples**
+
+Returns auto-generated **** index of a **** DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+
+let df = new dfd.DataFrame(data)
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Columns with mixed types are represented as **string.**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40],
+            "D": ["a", "b", 20, 2.5]}
+            
+let df = new dfd.DataFrame(data)
+
+df.ctypes.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ A │ float32              ║
+╟───┼──────────────────────╢
+║ B │ int32                ║
+╟───┼──────────────────────╢
+║ C │ int32                ║
+╟───┼──────────────────────╢
+║ D │ string               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note**: To cast a type, use the [astype](dataframe.astype.md) method.&#x20;
diff --git a/api-reference copy/dataframe/dataframe.index.md b/api-reference copy/dataframe/dataframe.index.md
new file mode 100644
index 0000000..a185e63
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.index.md	
@@ -0,0 +1,69 @@
+---
+description: The index (row labels) of the DataFrame.
+---
+
+# DataFrame.index
+
+danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+
+## **Examples**
+
+Returns auto-generated **** index of a **** DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+console.log(df.index);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[0, 1, 2, 3]
+```
+{% endtab %}
+{% endtabs %}
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
+
+console.log(df.index);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[ 'r1', 'r2', 'r3', 'r4' ]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.ndim.md b/api-reference copy/dataframe/dataframe.ndim.md
new file mode 100644
index 0000000..c64dd09
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.ndim.md	
@@ -0,0 +1,46 @@
+---
+description: >-
+  Return an int representing the number of axes / array dimensions. Returns 1 if
+  Series. Otherwise return 2 for DataFrame.
+---
+
+# DataFrame.ndim
+
+danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+&#x20;      ****       return **Int**
+
+**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data)
+
+console.log(df.ndim)
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+2
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.nunique-1.md b/api-reference copy/dataframe/dataframe.nunique-1.md
new file mode 100644
index 0000000..8166904
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.nunique-1.md	
@@ -0,0 +1,98 @@
+# DataFrame.nunique
+
+danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
+
+| Parameters | Type | Description                            | Default |
+| ---------- | ---- | -------------------------------------- | ------- |
+| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+### Return number of unique values along column axis (axis=1)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.nunique().print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 4 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Return number of unique values in row axis (axis=0)
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30],
+             "D": ["a", "b", "c", "c"] }
+
+let df = new dfd.DataFrame(data)
+df.nunique(axis=0).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 4                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note:** To get the unique elements along an axis, use **** [DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference copy/dataframe/dataframe.print.md b/api-reference copy/dataframe/dataframe.print.md
new file mode 100644
index 0000000..d03232d
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.print.md	
@@ -0,0 +1,105 @@
+---
+description: >-
+  Pretty prints default (10) number of rows in a DataFrame or Series to the
+  console
+---
+
+# DataFrame.print
+
+danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 4, 5] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Abs               │ Count             │ country code      ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20.2              │ 34                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 4                 │ FR                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ GH                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Using JavaScript default **console.log** to display a DataFrame will return the Object instead unless you manually cast it to a String
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 4, 5, 6] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+console.log(df)
+console.log(String(df));
+// console.log(df + ""); //same result as above
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+DataFrame {
+  '$isSeries': false,
+  '$config': Configs {
+    tableDisplayConfig: {},
+    tableMaxRow: 10,
+    tableMaxColInConsole: 21,
+    dtypeTestLim: 7,
+    lowMemoryMode: false
+  },
+  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
+  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
+  '$index': [ 0, 1, 2 ],
+  '$dtypes': [ 'float32', 'int32', 'string' ],
+  '$columns': [ 'Abs', 'Count', 'country code' ]
+}
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Abs               │ Count             │ country code      ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 20.2              │ 34                │ NG                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ FR                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ GH                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.rename.md b/api-reference copy/dataframe/dataframe.rename.md
new file mode 100644
index 0000000..c33ce99
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.rename.md	
@@ -0,0 +1,148 @@
+---
+description: >-
+  Change axes labels. Object values must be unique (1-to-1). Labels not
+  contained in a dict / Series will be left as-is. Extra labels listed don’t
+  throw an error.
+---
+
+# DataFrame.rename
+
+danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
+| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### Rename columns&#x20;
+
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -4, 5],
+             "C": [20, 2, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.rename({ mapper: {"A": "new_name"},inplace: true })
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ new_name          │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Rename more the one column at time
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -4, 6],
+             "C": [20, 2, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ new_name          │ B                 │ new_c             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Rename index by labels
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, -4, 6],
+    "C": [20, 2, 30]
+}
+
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
+df = df.rename({ mapper: { "a": 0 }, axis: 0 })
+df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20               │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 30                │ -4                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 47.3              │ 5                 │ 30                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.reset_index.md b/api-reference copy/dataframe/dataframe.reset_index.md
new file mode 100644
index 0000000..ddee8e0
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.reset_index.md	
@@ -0,0 +1,73 @@
+---
+description: Reset the index of the DataFrame, and use the default one instead.
+---
+
+# DataFrame.reset\_index
+
+danfo.DataFrame.**reset\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object | <p><strong>{</strong> </p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, 5, 6],
+    "C": [20, 3, 30]
+}
+
+
+let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
+df.print()
+
+df.reset_index({ inplace: true }) //inplace
+//df = df.reset_index() //not in inplace
+
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.select_dtypes.md b/api-reference copy/dataframe/dataframe.select_dtypes.md
new file mode 100644
index 0000000..ba5044e
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.select_dtypes.md	
@@ -0,0 +1,94 @@
+---
+description: Return a subset of the DataFrame’s columns based on the column dtypes.
+---
+
+# DataFrame.select\_dtypes
+
+danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
+
+| Parameters | Type  | Description                      | Default |
+| ---------- | ----- | -------------------------------- | ------- |
+| include    | Array | List of column dtypes to return  |         |
+
+**Returns:**
+
+&#x20;      ****       return  **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40],
+            "D": ["a", "b", 20, 2.5]}
+            
+let df = new dfd.DataFrame(data)
+
+float_df = df.select_dtypes(['float32'])
+float_df.print()
+
+mix_df = df.select_dtypes(include=['float32', "int32"])
+mix_df.print()
+
+str_df = df.select_dtypes(include=['string'])
+str_df.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//select float column(s)
+╔═══╤══════════════════════╗
+║   │ A                    ║
+╟───┼──────────────────────╢
+║ 0 │ -20.1                ║
+╟───┼──────────────────────╢
+║ 1 │ 30                   ║
+╟───┼──────────────────────╢
+║ 2 │ 47.3                 ║
+╟───┼──────────────────────╢
+║ 3 │ -20                  ║
+╚═══╧══════════════════════╝
+
+
+ //select both float and int columns
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -20.1             │ 34                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ -4                │ -20               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 47.3              │ 5                 │ 30                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ -20               │ 6                 │ -40               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//return string type column
+╔═══╤══════════════════════╗
+║   │ D                    ║
+╟───┼──────────────────────╢
+║ 0 │ a                    ║
+╟───┼──────────────────────╢
+║ 1 │ b                    ║
+╟───┼──────────────────────╢
+║ 2 │ 20                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2.5                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.set_index.md b/api-reference copy/dataframe/dataframe.set_index.md
new file mode 100644
index 0000000..e82c213
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.set_index.md	
@@ -0,0 +1,176 @@
+---
+description: >-
+  Set the DataFrame index using existing columns or an array (of the equal
+  length).
+---
+
+# DataFrame.set_index
+
+danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
+| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
+
+## **Examples**
+
+### **Setting index to a column in the DataFrame**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
+df.print()
+
+df.set_index({column: "A", inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ -20        │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 30         │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### ****
+
+### **Setting index to a column in the DataFrame and dropping the column**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
+df.print()
+
+df.set_index({column: "A", drop: true, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ -20        │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 30         │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 47.3       │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Set index to an array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, -5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let new_index = ["a", "b", "c"]
+df.set_index({index: new_index, inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b          │ 30                │ -5                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
diff --git a/api-reference copy/dataframe/dataframe.shape.md b/api-reference copy/dataframe/dataframe.shape.md
new file mode 100644
index 0000000..746491d
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.shape.md	
@@ -0,0 +1,43 @@
+---
+description: Returns an Array representing the dimensionality of the DataFrame.
+---
+
+# DataFrame.shape
+
+danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+&#x20;      ****       return **Int**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
+
+console.log(df.shape)
+
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[4,3]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.sort_index.md b/api-reference copy/dataframe/dataframe.sort_index.md
new file mode 100644
index 0000000..81d5b7f
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.sort_index.md	
@@ -0,0 +1,74 @@
+---
+description: Sort DataFrame by index
+---
+
+# DataFrame.sort\_index
+
+DataFrame.**sort\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
+
+| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Sort DataFrame by a column in ascending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [[0, 2, 4, "b"],
+            [360, 180, 360, "a"],
+            [2, 4, 6, "c"]]
+
+let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
+                           index: ["b", "a", "c"] })
+df.print()
+
+let df2 = df.sort_index({ ascending: false })
+df2.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ col1              │ col2              │ col3              │ col4              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ 360               │ 180               │ 360               │ a                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ 2                 │ 4                 │ 6                 │ c                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after sorting in descending order
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ col1              │ col2              │ col3              │ col4              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ c │ 2                 │ 4                 │ 6                 │ c                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ b │ 0                 │ 2                 │ 4                 │ b                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ a │ 360               │ 180               │ 360               │ a                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/dataframe/dataframe.sort_values.md b/api-reference copy/dataframe/dataframe.sort_values.md
new file mode 100644
index 0000000..54345b1
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.sort_values.md	
@@ -0,0 +1,99 @@
+---
+description: Sort a Dataframe in ascending or descending order by a specified column name.
+---
+
+# DataFrame.sort\_values
+
+danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Sort DataFrame by a column in ascending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.sort_values({by: "C", inplace: true})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Sort DataFrame by a column in descending order**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3],
+             "B": [34, 5, 6],
+             "C": [20, 3, 30] }
+
+
+let df = new dfd.DataFrame(data)
+df.sort_values({by: "B", inplace: true, ascending: false})
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 6                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ 5                 │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.tensor.md b/api-reference copy/dataframe/dataframe.tensor.md
new file mode 100644
index 0000000..822886e
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.tensor.md	
@@ -0,0 +1,110 @@
+---
+description: >-
+  Return a Tensorflow tensor representation of the DataFrame. Only the values in
+  the DataFrame will be returned, the axes labels will be removed.
+---
+
+# DataFrame.tensor
+
+danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+&#x20;      ****       return **tf.tensor**
+
+> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care.&#x20;
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "A": [-20, 30, 47.3, -20] ,
+             "B": [34, -4, 5, 6] ,
+             "C": [20, 20, 30, 30]}
+             
+let df = new dfd.DataFrame(data)
+let tf_tensor = df.tensor
+
+console.log(tf_tensor.dtype);
+
+console.log(tf_tensor);
+
+tf_tensor.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32
+Tensor
+    [[-20       , 34, 20],
+     [30        , -4, 20],
+     [47.2999992, 5 , 30],
+     [-20       , 6 , 30]]
+```
+{% endtab %}
+{% endtabs %}
+
+String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { "Abs": [20.2, 30, 47.3] ,
+             "Count": [34, 5, 6] ,
+             "country code": ["NG", "FR", "GH"] }
+
+
+let df = new dfd.DataFrame(data)
+let tf_tensor = df.tensor
+
+console.log(tf_tensor.dtype);
+
+console.log(tf_tensor);
+
+tf_tensor.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32 
+
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 3, 3 ],
+  dtype: 'float32',
+  size: 9,
+  strides: [ 3 ],
+  dataId: {},
+  id: 0,
+  rankType: '2'
+}
+
+Tensor
+    [[20.2000008, 34, NaN],
+     [30        , 4 , NaN],
+     [47.2999992, 5 , NaN]]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.to_csv.md b/api-reference copy/dataframe/dataframe.to_csv.md
new file mode 100644
index 0000000..8e84e9a
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.to_csv.md	
@@ -0,0 +1,114 @@
+---
+description: Convert DataFrame data to a comma-separated values (csv)
+---
+
+# DataFrame.to\_csv
+
+DataFrame.**to\_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
+| -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
+| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+***
+
+### Convert DataFrame to CSV string and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const csv = df.to_csv({ download: false });
+console.log(csv);
+
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ filePath: "testOut.csv"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and download file in browser
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_csv({ fileName: "testOut.csv", download: true});
+```
diff --git a/api-reference copy/dataframe/dataframe.to_excel.md b/api-reference copy/dataframe/dataframe.to_excel.md
new file mode 100644
index 0000000..4adf437
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.to_excel.md	
@@ -0,0 +1,53 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# DataFrame.to_excel
+
+> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+
+| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in a browser
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_excel({ fileName: "testOut.xlsx"});
+```
diff --git a/api-reference copy/dataframe/dataframe.to_json.md b/api-reference copy/dataframe/dataframe.to_json.md
new file mode 100644
index 0000000..326f422
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.to_json.md	
@@ -0,0 +1,127 @@
+---
+description: Convert DataFrame to JSON format
+---
+
+# DataFrame.to\_json
+
+> DataFrame.**to\_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
+| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
+| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+
+### Convert DataFrame/Series to JSON and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = df.to_json({ download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = df.to_json({
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ filePath: "./testOutput.json" });
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+df.to_json({ fileName: "test_out.json" });
+```
diff --git a/api-reference copy/dataframe/dataframe.values.md b/api-reference copy/dataframe/dataframe.values.md
new file mode 100644
index 0000000..598e395
--- /dev/null
+++ b/api-reference copy/dataframe/dataframe.values.md	
@@ -0,0 +1,50 @@
+---
+description: Return a the JavaScript array representation of the DataFrame.
+---
+
+# DataFrame.values
+
+danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+
+**Returns:**
+
+&#x20;      ****       return **Array**
+
+**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame. &#x20;
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {"A": [-20.1, 30, 47.3, -20],
+            "B": [34, -4, 5, 6], 
+            "C": [20, -20, 30, -40]}
+            
+let df = new dfd.DataFrame(data)
+
+console.log(df.values)
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  [ -20.1, 34, 20 ],
+  [ 30, -4, -20 ],
+  [ 47.3, 5, 30 ],
+  [ -20, 6, -40 ]
+]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/general-functions/README.md b/api-reference copy/general-functions/README.md
new file mode 100644
index 0000000..07815b0
--- /dev/null
+++ b/api-reference copy/general-functions/README.md	
@@ -0,0 +1,27 @@
+---
+description: Top level functions that can be called from the Danfo namespace
+---
+
+# General Functions
+
+### Data manipulations
+
+|                                       |                                                                                                 |
+| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
+| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
+| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
+| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
+
+### Data Processing/Normalization
+
+| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
+| ----------------------------------------- | ---------------------------------------------------------------------- |
+| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
+| [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
+| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
+
+### Top-level dealing with datetime
+
+| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
+| ------------------------------------ | --------------------------------------- |
+| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference copy/general-functions/danfo.concat.md b/api-reference copy/general-functions/danfo.concat.md
new file mode 100644
index 0000000..e248f46
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.concat.md	
@@ -0,0 +1,187 @@
+---
+description: Concatenate DataFrames and Series along an axis
+---
+
+# danfo.concat
+
+danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
+| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Concatenate two DataFrames along column axis (1)**&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
+com_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Concatenate two DataFrames along row axis (0)**&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+com_df.print(10)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Concatenate two Series along row axis (0)**&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+
+
+let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+com_df.print(10)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
diff --git a/api-reference copy/general-functions/danfo.date_range.md b/api-reference copy/general-functions/danfo.date_range.md
new file mode 100644
index 0000000..9c4a337
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.date_range.md	
@@ -0,0 +1,111 @@
+---
+description: Return a fixed frequency Dates spread between start and end parameters.
+---
+
+# danfo.date\_range
+
+danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
+| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+console.log(data);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+        console.log(data);
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  '1/1/2018, 12:00:00 AM',
+  '2/1/2018, 12:00:00 AM',
+  '3/1/2018, 12:00:00 AM',
+  '4/1/2018, 12:00:00 AM',
+  '5/1/2018, 12:00:00 AM'
+]
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
+console.log(data);
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[
+  '1/1/2018, 12:00:00 AM',
+  '1/1/2019, 12:00:00 AM',
+  '1/1/2020, 12:00:00 AM',
+  '1/1/2021, 12:00:00 AM',
+  '1/1/2022, 12:00:00 AM',
+  '1/1/2023, 12:00:00 AM',
+  '1/1/2024, 12:00:00 AM',
+  '1/1/2025, 12:00:00 AM',
+  '1/1/2026, 12:00:00 AM',
+  '1/1/2027, 12:00:00 AM',
+  '1/1/2028, 12:00:00 AM',
+  '1/1/2029, 12:00:00 AM'
+]
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.get_dummies.md b/api-reference copy/general-functions/danfo.get_dummies.md
new file mode 100644
index 0000000..e53fd81
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.get_dummies.md	
@@ -0,0 +1,188 @@
+---
+description: Convert categorical variable into dummy/indicator variables.
+---
+
+# danfo.get\_dummies
+
+danfo.**get\_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
+| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
+| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+### **Convert Series to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
+let sf1 = new dfd.Series(datasf)
+
+let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Convert all categorical columns in a DataFrame to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let dum_df = dfd.get_dummies(df)
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruits            │ Count             │ Country           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ pear              │ 20                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ mango             │ 30                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ pawpaw            │ 89                │ GH                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ mango             │ 12                │ RU                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bean              │ 30                │ RU                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after dummification
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Count             │ fruits_pear       │ fruits_mango      │ ...               │ fruits_bean       │ Country_NG        │ Country_GH        │ Country_RU        ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20                │ 1                 │ 0                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ 0                 │ 1                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 89                │ 0                 │ 0                 │ ...               │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ 0                 │ 1                 │ ...               │ 0                 │ 0                 │ 0                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 30                │ 0                 │ 0                 │ ...               │ 1                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Convert a specific column in a DataFrame to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+dum_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ fruits            │ Count             │ Country           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ pear              │ 20                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ mango             │ 30                │ NG                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ pawpaw            │ 89                │ GH                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ mango             │ 12                │ RU                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bean              │ 30                │ RU                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //after dummification
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Count             │ Country           │ fruits_pear       │ fruits_mango      │ fruits_pawpaw     │ fruits_bean       ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 20                │ NG                │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 30                │ NG                │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 89                │ GH                │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 12                │ RU                │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 30                │ RU                │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
+{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.labelencoder.md b/api-reference copy/general-functions/danfo.labelencoder.md
new file mode 100644
index 0000000..b0745a8
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.labelencoder.md	
@@ -0,0 +1,140 @@
+---
+description: Encode target labels with value between 0 and n_classes-1.
+---
+
+# danfo.LabelEncoder
+
+class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
+
+The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.&#x20;
+
+## **Examples**
+
+### **Label Encode values in a Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = ["dog","cat","man","dog","cat","man","man","cat"]
+let series = new dfd.Series(data)
+
+let encode = new dfd.LabelEncoder()
+
+encode.fit(series)
+console.log(encode);
+
+let sf_enc = encode.transform(series.values)
+sf_enc.print()
+
+let new_sf = encode.transform(["dog","man"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 1                    ║
+╟───┼──────────────────────╢
+║ 5 │ 2                    ║
+╟───┼──────────────────────╢
+║ 6 │ 2                    ║
+╟───┼──────────────────────╢
+║ 7 │ 1                    ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+**Labels not found in the original data used for fitting are represented with -1**
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.LabelEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","man"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference copy/general-functions/danfo.merge.md b/api-reference copy/general-functions/danfo.merge.md
new file mode 100644
index 0000000..0c4b760
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.merge.md	
@@ -0,0 +1,453 @@
+---
+description: >-
+  Merge DataFrame or named Series objects with a database-style join.The join is
+  done on columns or indexes.
+---
+
+# danfo.merge
+
+danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
+
+danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
+
+For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user\_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
+
+### **Merging by a single key found in both axis**
+
+By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+ //first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //Second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After inner join on column 'Key1'
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### **Inner Join/Merge by multiple keys found in both axis**
+
+Merging by two keys takes into consideration the keys appearing in both`left` and `right DataFrame.`
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", 'Key2'], how: "inner"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //After inner join on two keys
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
+
+### Outer join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1"], how: "outer"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//First DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //Second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//After outer join
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Left join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", "Key2"], how: "left"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ After left join
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ K2                │ K2                │ A3                │ B3                │ NaN               │ NaN               ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Right join/merge on DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
+            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
+
+let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
+            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
+
+let colum1 = ['Key1', 'Key2', 'A', 'B']
+let colum2 = ['Key1', 'Key2', 'A', 'D']
+
+let df1 = new dfd.DataFrame(data, { columns: colum1 })
+let df2 = new dfd.DataFrame(data2, { columns: colum2 })
+df1.print()
+df2.print()
+
+let merge_df = dfd.merge({ left: df1, right: df2, 
+                            on: ["Key1", "Key2"], how: "right"})
+merge_df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//first DataFrame
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ k0                │ K1                │ A1                │ B1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K2                │ A3                │ B3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ //second DataFrame
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+//after right join
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ K2                │ K0                │ NaN               │ NaN               │ C3                │ D3                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
+{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.minmaxscaler.md b/api-reference copy/general-functions/danfo.minmaxscaler.md
new file mode 100644
index 0000000..d58af8b
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.minmaxscaler.md	
@@ -0,0 +1,125 @@
+---
+description: Transform features by scaling each feature to a range of max and min values.
+---
+
+# danfo.MinMaxScaler
+
+class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
+
+This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
+
+The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.&#x20;
+
+## **Examples**
+
+### Standardize DataFrame Object using MinMaxScaler
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let scaler = new dfd.MinMaxScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 20, 10],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+scaler.fit(df)
+
+let df_enc = scaler.transform(df)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 20                │ 30                │ 20                │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Standardize Series Object Using MinMaxScaler
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let scaler = new dfd.MinMaxScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 20, 10],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+let sf = df.iloc({columns: ["0"]})
+
+scaler.fit(sf)
+
+let df_enc = scaler.transform(sf)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+ Shape: (3,1) 
+
+╔═══╤═══════════════════╗
+║   │ 0                 ║
+╟───┼───────────────────╢
+║ 0 │ 1                 ║
+╟───┼───────────────────╢
+║ 1 │ 0.19191919267...  ║
+╟───┼───────────────────╢
+║ 2 │ 0                 ║
+╚═══╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference copy/general-functions/danfo.onehotencoder.md b/api-reference copy/general-functions/danfo.onehotencoder.md
new file mode 100644
index 0000000..81c913d
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.onehotencoder.md	
@@ -0,0 +1,148 @@
+---
+description: Encode categorical features as a one-hot numeric array.
+---
+
+# danfo.OneHotEncoder
+
+class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
+
+danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
+
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.&#x20;
+
+## **Examples**
+
+### **Convert Series to Dummy codes**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.OneHotEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","bean"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (2,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+**Labels not found in the original data used for fitting are represented with 0s all through**
+{% endhint %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
+            Count: [20, 30, 89, 12, 30],
+            Country: ["NG", "NG", "GH", "RU", "RU"]}
+
+
+let df = new dfd.DataFrame(data)
+let encode = new dfd.OneHotEncoder()
+
+encode.fit(df['fruits'])
+console.log(encode);
+
+let sf_enc = encode.transform(df['fruits'].values)
+sf_enc.print()
+
+let new_sf = encode.transform(["mango","woman", "cup"])
+new_sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ pear              │ mango             │ pawpaw            │ bean              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference copy/general-functions/danfo.standardscaler.md b/api-reference copy/general-functions/danfo.standardscaler.md
new file mode 100644
index 0000000..89ce861
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.standardscaler.md	
@@ -0,0 +1,132 @@
+---
+description: Standardize features by removing the mean and scaling to unit variance.
+---
+
+# danfo.StandardScaler
+
+class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
+
+> z = (x - u) / s
+
+where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
+
+The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.&#x20;
+
+## **Examples**
+
+### Standardize Series Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let scaler = new dfd.StandardScaler()
+
+let sf = new dfd.Series([100,1000,2000, 3000])
+sf.print()
+
+scaler.fit(sf)
+
+let sf_enc = scaler.transform(sf)
+sf_enc.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 100                  ║
+╟───┼──────────────────────╢
+║ 1 │ 1000                 ║
+╟───┼──────────────────────╢
+║ 2 │ 2000                 ║
+╟───┼──────────────────────╢
+║ 3 │ 3000                 ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1.1375757455825806  ║
+╟───┼──────────────────────╢
+║ 1 │ -0.4191068708896637  ║
+╟───┼──────────────────────╢
+║ 2 │ 0.37919193506240845  ║
+╟───┼──────────────────────╢
+║ 3 │ 1.1774907112121582   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Standardize DataFrame Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let scaler = new dfd.StandardScaler()
+
+let data = [[100,1000,2000, 3000] ,
+            [20, 30, 89, 12],
+            [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data)
+df.print()
+
+scaler.fit(df)
+
+let df_enc = scaler.transform(df)
+df_enc.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ 20                │ 30                │ 20                │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ 0                 │ 1                 │ 2                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference copy/general-functions/danfo.to_datetime.md b/api-reference copy/general-functions/danfo.to_datetime.md
new file mode 100644
index 0000000..7012100
--- /dev/null
+++ b/api-reference copy/general-functions/danfo.to_datetime.md	
@@ -0,0 +1,141 @@
+---
+description: Converts an array of Date time string to Date object.
+---
+
+# danfo.toDateTime
+
+danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type          | Description                                                                                                       | Default |
+| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
+| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
+
+**Returns:**
+
+&#x20;      ****       return **DataFrame**
+
+## **Examples**
+
+Converts a **Series** of Date strings to Date time and get time properties
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
+let sf = new dfd.Series(data)
+sf.print()
+
+let dt = dfd.toDateTime(data)
+
+dt.month().print()
+dt.month_name().print()
+dt.weekdays().print()
+dt.day().print()
+dt.seconds().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+  0
+0	1/1/2018, 12:00:00 AM
+1	2/1/2018, 12:00:00 AM
+2	3/1/2018, 12:00:00 AM
+3	4/1/2018, 12:00:00 AM
+4	5/1/2018, 12:00:00 AM
+5	6/1/2018, 12:00:00 AM
+6	7/1/2018, 12:00:00 AM
+7	8/1/2018, 12:00:00 AM
+8	9/1/2018, 12:00:00 AM
+9	10/1/2018, 12:00:00 AM
+10	11/1/2018, 12:00:00 AM
+11	12/1/2018, 12:00:00 AM
+
+//Int representation for month
+	0
+0	0
+1	1
+2	2
+3	3
+4	4
+5	5
+6	6
+7	7
+8	8
+9	9
+10	10
+11	11
+
+//string representation for month
+0
+0	Jan
+1	Feb
+2	Mar
+3	Apr
+4	May
+5	Jun
+6	Jul
+7	Aug
+8	Sep
+9	Oct
+10	Nov
+11	Dec
+
+//string representation for day of the week
+0
+0	Mon
+1	Thur
+2	Thur
+3	Sun
+4	Tue
+5	Fri
+6	Sun
+7	Wed
+8	Sat
+9	Mon
+10	Thur
+11	Sat
+
+0
+0	1
+1	4
+2	4
+3	0
+4	2
+5	5
+6	0
+7	3
+8	6
+9	1
+10	4
+11	6
+
+//Hour of the day
+0
+0	0
+1	0
+2	0
+3	0
+4	0
+5	0
+6	0
+7	0
+8	0
+9	0
+10	0
+11	0
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+{% endhint %}
diff --git a/api-reference copy/groupby.md b/api-reference copy/groupby.md
new file mode 100644
index 0000000..1db2e52
--- /dev/null
+++ b/api-reference copy/groupby.md	
@@ -0,0 +1,122 @@
+---
+description: >-
+  GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby(),
+  danfo.Series.groupby()
+---
+
+# Groupby
+
+### Indexing, iteration
+
+| [`GroupBy.__iter__`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.__iter__.html#pandas.core.groupby.GroupBy.__iter__)\(\) | Groupby iterator. |
+| :--- | :--- |
+| [`GroupBy.groups`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.groups.html#pandas.core.groupby.GroupBy.groups) | Dict {group name -&gt; group labels}. |
+| [`GroupBy.indices`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.indices.html#pandas.core.groupby.GroupBy.indices) | Dict {group name -&gt; group indices}. |
+| [`GroupBy.get_group`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.get_group.html#pandas.core.groupby.GroupBy.get_group)\(name\[, obj\]\) | Construct DataFrame from group with provided name. |
+
+| [`Grouper`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Grouper.html#pandas.Grouper)\(\*args, \*\*kwargs\) | A Grouper allows the user to specify a groupby instruction for an object. |
+| :--- | :--- |
+
+
+### Function application
+
+| [`GroupBy.apply`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.apply.html#pandas.core.groupby.GroupBy.apply)\(func, \*args, \*\*kwargs\) | Apply function func group-wise and combine the results together. |
+| :--- | :--- |
+| [`GroupBy.agg`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.agg.html#pandas.core.groupby.GroupBy.agg)\(func, \*args, \*\*kwargs\) |  |
+| [`SeriesGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.html#pandas.core.groupby.SeriesGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
+| [`DataFrameGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html#pandas.core.groupby.DataFrameGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
+| [`SeriesGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html#pandas.core.groupby.SeriesGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values |
+| [`DataFrameGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html#pandas.core.groupby.DataFrameGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values |
+| [`GroupBy.pipe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pipe.html#pandas.core.groupby.GroupBy.pipe)\(func, \*args, \*\*kwargs\) | Apply a function func with arguments to this GroupBy object and return the function’s result. |
+
+### Computations / descriptive stats
+
+| [`GroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.all.html#pandas.core.groupby.GroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
+| :--- | :--- |
+| [`GroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.any.html#pandas.core.groupby.GroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
+| [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
+| [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
+| [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
+| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
+| [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
+| [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
+| [`GroupBy.last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.last.html#pandas.core.groupby.GroupBy.last)\(\[numeric\_only, min\_count\]\) | Compute last of group values. |
+| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max)\(\[numeric\_only, min\_count\]\) | Compute max of group values. |
+| [`GroupBy.mean`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean)\(\[numeric\_only\]\) | Compute mean of groups, excluding missing values. |
+| [`GroupBy.median`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.median.html#pandas.core.groupby.GroupBy.median)\(\[numeric\_only\]\) | Compute median of groups, excluding missing values. |
+| [`GroupBy.min`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.min.html#pandas.core.groupby.GroupBy.min)\(\[numeric\_only, min\_count\]\) | Compute min of group values. |
+| [`GroupBy.ngroup`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ngroup.html#pandas.core.groupby.GroupBy.ngroup)\(\[ascending\]\) | Number each group from 0 to the number of groups - 1. |
+| [`GroupBy.nth`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.nth.html#pandas.core.groupby.GroupBy.nth)\(n\[, dropna\]\) | Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. |
+| [`GroupBy.ohlc`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ohlc.html#pandas.core.groupby.GroupBy.ohlc)\(\) | Compute open, high, low and close values of a group, excluding missing values. |
+| [`GroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pad.html#pandas.core.groupby.GroupBy.pad)\(\[limit\]\) | Forward fill the values. |
+| [`GroupBy.prod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.prod.html#pandas.core.groupby.GroupBy.prod)\(\[numeric\_only, min\_count\]\) | Compute prod of group values. |
+| [`GroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.rank.html#pandas.core.groupby.GroupBy.rank)\(\[method, ascending, na\_option, …\]\) | Provide the rank of values within each group. |
+| [`GroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pct_change.html#pandas.core.groupby.GroupBy.pct_change)\(\[periods, fill\_method, …\]\) | Calculate pct\_change of each value to previous entry in group. |
+| [`GroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.size.html#pandas.core.groupby.GroupBy.size)\(\) | Compute group sizes. |
+| [`GroupBy.sem`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sem.html#pandas.core.groupby.GroupBy.sem)\(\[ddof\]\) | Compute standard error of the mean of groups, excluding missing values. |
+| [`GroupBy.std`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.std.html#pandas.core.groupby.GroupBy.std)\(\[ddof\]\) | Compute standard deviation of groups, excluding missing values. |
+| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum)\(\[numeric\_only, min\_count\]\) | Compute sum of group values. |
+| [`GroupBy.var`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.var.html#pandas.core.groupby.GroupBy.var)\(\[ddof\]\) | Compute variance of groups, excluding missing values. |
+| [`GroupBy.tail`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.tail.html#pandas.core.groupby.GroupBy.tail)\(\[n\]\) | Return last n rows of each group. |
+
+The following methods are available in both `SeriesGroupBy` and `DataFrameGroupBy` objects, but may differ slightly, usually in that the `DataFrameGroupBy` version usually permits the specification of an axis argument, and often an argument indicating whether to restrict application to columns of a specific data type.
+
+| [`DataFrameGroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.all.html#pandas.core.groupby.DataFrameGroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
+| :--- | :--- |
+| [`DataFrameGroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.any.html#pandas.core.groupby.DataFrameGroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
+| [`DataFrameGroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.backfill.html#pandas.core.groupby.DataFrameGroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
+| [`DataFrameGroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.html#pandas.core.groupby.DataFrameGroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
+| [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
+| [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
+| [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
+| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
+| [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
+| [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
+| [`DataFrameGroupBy.fillna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.html#pandas.core.groupby.DataFrameGroupBy.fillna) | Fill NA/NaN values using the specified method. |
+| [`DataFrameGroupBy.filter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html#pandas.core.groupby.DataFrameGroupBy.filter)\(func\[, dropna\]\) | Return a copy of a DataFrame excluding filtered elements. |
+| [`DataFrameGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.hist.html#pandas.core.groupby.DataFrameGroupBy.hist) | Make a histogram of the DataFrame’s. |
+| [`DataFrameGroupBy.idxmax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.html#pandas.core.groupby.DataFrameGroupBy.idxmax) | Return index of first occurrence of maximum over requested axis. |
+| [`DataFrameGroupBy.idxmin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.html#pandas.core.groupby.DataFrameGroupBy.idxmin) | Return index of first occurrence of minimum over requested axis. |
+| [`DataFrameGroupBy.mad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mad.html#pandas.core.groupby.DataFrameGroupBy.mad) | Return the mean absolute deviation of the values for the requested axis. |
+| [`DataFrameGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html#pandas.core.groupby.DataFrameGroupBy.nunique)\(\[dropna\]\) | Return DataFrame with counts of unique elements in each position. |
+| [`DataFrameGroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pad.html#pandas.core.groupby.DataFrameGroupBy.pad)\(\[limit\]\) | Forward fill the values. |
+| [`DataFrameGroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.html#pandas.core.groupby.DataFrameGroupBy.pct_change)\(\[periods, …\]\) | Calculate pct\_change of each value to previous entry in group. |
+| [`DataFrameGroupBy.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.plot.html#pandas.core.groupby.DataFrameGroupBy.plot) | Class implementing the .plot attribute for groupby objects. |
+| [`DataFrameGroupBy.quantile`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.html#pandas.core.groupby.DataFrameGroupBy.quantile)\(\[q, interpolation\]\) | Return group values at the given quantile, a la numpy.percentile. |
+| [`DataFrameGroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.rank.html#pandas.core.groupby.DataFrameGroupBy.rank)\(\[method, ascending, …\]\) | Provide the rank of values within each group. |
+| [`DataFrameGroupBy.resample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.resample.html#pandas.core.groupby.DataFrameGroupBy.resample)\(rule, \*args, \*\*kwargs\) | Provide resampling when using a TimeGrouper. |
+| [`DataFrameGroupBy.sample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.sample.html#pandas.core.groupby.DataFrameGroupBy.sample)\(\[n, frac, replace, …\]\) | Return a random sample of items from each group. |
+| [`DataFrameGroupBy.shift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.shift.html#pandas.core.groupby.DataFrameGroupBy.shift)\(\[periods, freq, …\]\) | Shift each group by periods observations. |
+| [`DataFrameGroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.size.html#pandas.core.groupby.DataFrameGroupBy.size)\(\) | Compute group sizes. |
+| [`DataFrameGroupBy.skew`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.skew.html#pandas.core.groupby.DataFrameGroupBy.skew) | Return unbiased skew over requested axis. |
+| [`DataFrameGroupBy.take`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.take.html#pandas.core.groupby.DataFrameGroupBy.take) | Return the elements in the given _positional_ indices along an axis. |
+| [`DataFrameGroupBy.tshift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.tshift.html#pandas.core.groupby.DataFrameGroupBy.tshift) | \(DEPRECATED\) Shift the time index, using the index’s frequency if available. |
+
+The following methods are available only for `SeriesGroupBy` objects.
+
+| [`SeriesGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html#pandas.core.groupby.SeriesGroupBy.hist) | Draw histogram of the input series using matplotlib. |
+| :--- | :--- |
+| [`SeriesGroupBy.nlargest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.html#pandas.core.groupby.SeriesGroupBy.nlargest) | Return the largest n elements. |
+| [`SeriesGroupBy.nsmallest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.html#pandas.core.groupby.SeriesGroupBy.nsmallest) | Return the smallest n elements. |
+| [`SeriesGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nunique.html#pandas.core.groupby.SeriesGroupBy.nunique)\(\[dropna\]\) | Return number of unique elements in the group. |
+| [`SeriesGroupBy.unique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html#pandas.core.groupby.SeriesGroupBy.unique) | Return unique values of Series object. |
+| [`SeriesGroupBy.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.html#pandas.core.groupby.SeriesGroupBy.value_counts)\(\[normalize, …\]\) |  |
+| [`SeriesGroupBy.is_monotonic_increasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing) | Alias for is\_monotonic. |
+| [`SeriesGroupBy.is_monotonic_decreasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing) | Return boolean if values in the object are monotonic\_decreasing. |
+
+The following methods are available only for `DataFrameGroupBy` objects.
+
+| [`DataFrameGroupBy.corrwith`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html#pandas.core.groupby.DataFrameGroupBy.corrwith) | Compute pairwise correlation. |
+| :--- | :--- |
+| [`DataFrameGroupBy.boxplot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html#pandas.core.groupby.DataFrameGroupBy.boxplot)\(\[subplots, column, …\]\) | Make box plots from DataFrameGroupBy data. |
+
diff --git a/api-reference copy/groupby/README.md b/api-reference copy/groupby/README.md
new file mode 100644
index 0000000..9a1db65
--- /dev/null
+++ b/api-reference copy/groupby/README.md	
@@ -0,0 +1,34 @@
+---
+description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby()'
+---
+
+# Groupby
+
+### Indexing, iteration
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
+
+### Function application
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.agg`](groupby.agg.md) | Aggregate using one or more operations over the specified axis. |
+
+### Computations / descriptive stats
+
+|  |  |
+| :--- | :--- |
+| [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
+| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
+| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
+| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
+| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
+| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
+| [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
+| [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
+| [`GroupBy.std`](groupby.std.md) | Compute standard deviation of groups, excluding missing values. |
+| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum) | Compute sum of group values. |
+| [`GroupBy.var`](groupby.var.md) | Compute variance of groups, excluding missing values. |
+
diff --git a/api-reference copy/groupby/groupby.agg.md b/api-reference copy/groupby/groupby.agg.md
new file mode 100644
index 0000000..fae8802
--- /dev/null
+++ b/api-reference copy/groupby/groupby.agg.md	
@@ -0,0 +1,93 @@
+---
+description: Obtain data aggregate per groups for each column
+---
+
+# Groupby.agg
+
+> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
+
+| Parameters | Type   | Description                                                                                               | Default |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
+| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
+
+**Return:** DataFrame
+
+**Examples**
+
+Using mean and sum aggregate
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.agg({"C":"mean","D":"sum"}).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  │ 27                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Mean and Sum aggregate on dataframe groupby two column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.agg({"C":"mean","D":"sum"}).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference copy/groupby/groupby.apply.md b/api-reference copy/groupby/groupby.apply.md
new file mode 100644
index 0000000..2150a21
--- /dev/null
+++ b/api-reference copy/groupby/groupby.apply.md	
@@ -0,0 +1,84 @@
+---
+description: Apply custom aggregate function to grouped data
+---
+
+# Groupby.apply
+
+danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function \| function to be applied to grouped data | Undefined |  |
+
+**Returns:**
+
+       ****return **DataFrame**
+
+## **Examples**
+
+Using apply to create a custom function that subtract the minimum value of each grouped data from each of its values
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+      'A': ['foo', 'bar', 'foo', 'bar',
+
+        'foo', 'bar', 'foo', 'foo'],
+
+      'B': ['one', 'one', 'two', 'three',
+
+        'two', 'two', 'one', 'three'],
+
+      'C': [1, 3, 2, 4, 5, 2, 6, 7],
+
+      'D': [3, 2, 4, 1, 5, 6, 7, 8]
+    };
+let df = new dfd.DataFrame(data);
+let group_df = df.groupby(["A", "B"]);
+
+const subMin = (x) => {
+  return x.sub(x.min());
+};
+
+group_df.apply(subMin).print();
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_apply           │ D_apply           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 5                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 3                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+\*\*\*\*
diff --git a/api-reference copy/groupby/groupby.col.md b/api-reference copy/groupby/groupby.col.md
new file mode 100644
index 0000000..02e7cdd
--- /dev/null
+++ b/api-reference copy/groupby/groupby.col.md	
@@ -0,0 +1,105 @@
+---
+description: Obtain the column(s) per groups
+---
+
+# Groupby.col
+
+> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| col\_names | Array | List of column |  |
+
+Returns: Groupby Data structure
+
+Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
+
+**Examples**
+
+Obtain a column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"])
+
+//for more coumns
+grp.col(["C","D"])
+```
+{% endtab %}
+{% endtabs %}
+
+Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
+
+```text
+//it returns the groupby data structure
+GroupBy {
+  key_col: [ 'A' ],
+  col_dict: {
+    foo: [ [Array], [Array], [Array], [Array], [Array] ],
+    bar: [ [Array], [Array], [Array] ]
+  },
+  data: [
+    [ 'foo', 'one', 1, 3 ],
+    [ 'bar', 'one', 3, 2 ],
+    [ 'foo', 'two', 2, 4 ],
+    [ 'bar', 'three', 4, 1 ],
+    [ 'foo', 'two', 5, 5 ],
+    [ 'bar', 'two', 2, 6 ],
+    [ 'foo', 'one', 6, 7 ],
+    [ 'foo', 'three', 7, 8 ]
+  ],
+  column_name: [ 'A', 'B', 'C', 'D' ],
+  data_tensors: {
+    foo: DataFrame {
+      kwargs: [Object],
+      series: false,
+      data: [Array],
+      row_data_tensor: [Tensor],
+      index_arr: [Array],
+      columns: [Array],
+      col_data: [Array],
+      col_data_tensor: [Tensor],
+      col_types: [Array],
+      A: [Getter/Setter],
+      B: [Getter/Setter],
+      C: [Getter/Setter],
+      D: [Getter/Setter]
+    },
+    bar: DataFrame {
+      kwargs: [Object],
+      series: false,
+      data: [Array],
+      row_data_tensor: [Tensor],
+      index_arr: [Array],
+      columns: [Array],
+      col_data: [Array],
+      col_data_tensor: [Tensor],
+      col_types: [Array],
+      A: [Getter/Setter],
+      B: [Getter/Setter],
+      C: [Getter/Setter],
+      D: [Getter/Setter]
+    }
+  },
+  group_col_name: [ 'C' ],
+  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
+}
+```
+
+
+
diff --git a/api-reference copy/groupby/groupby.count.md b/api-reference copy/groupby/groupby.count.md
new file mode 100644
index 0000000..36733be
--- /dev/null
+++ b/api-reference copy/groupby/groupby.count.md	
@@ -0,0 +1,175 @@
+---
+description: Count the occurrence of values in columns per groups
+---
+
+# Groupby.count
+
+> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the variance of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+  Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_count           ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_count           │ D_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).count().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_count           │ D_count           ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 1                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 1                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.cummax.md b/api-reference copy/groupby/groupby.cummax.md
new file mode 100644
index 0000000..8231a61
--- /dev/null
+++ b/api-reference copy/groupby/groupby.cummax.md	
@@ -0,0 +1,258 @@
+---
+description: Obtain the cummulative max per groups for each column
+---
+
+# Groupby.cummax
+
+> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative max of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cummax().head().print()
+grp.col(["C"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 5                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 4                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cummax().head().print()
+grp.col(["C","D"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cummax          │ D_cummax          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 4                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 4                 │ 6                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 4                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 4                 │ 6                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummax for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cummax().head().print()
+grp.col(["C"]).cummax().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummax for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cummax().head().print()
+grp.col(["C","D"]).cummax().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference copy/groupby/groupby.cummin.md b/api-reference copy/groupby/groupby.cummin.md
new file mode 100644
index 0000000..7fd9ed6
--- /dev/null
+++ b/api-reference copy/groupby/groupby.cummin.md	
@@ -0,0 +1,258 @@
+---
+description: Obtain the cummulative minimum per groups for each column
+---
+
+# Groupby.cummin
+
+> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative min of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cummin          │ D_cummin          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 2                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 2                 │ 1                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference copy/groupby/groupby.cumprod.md b/api-reference copy/groupby/groupby.cumprod.md
new file mode 100644
index 0000000..af46123
--- /dev/null
+++ b/api-reference copy/groupby/groupby.cumprod.md	
@@ -0,0 +1,258 @@
+---
+description: Obtain the cumulative product per group for each column
+---
+
+# Groupby.cumprod
+
+> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative product of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                │ 420               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               │ 3360              ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumprod         │ D_cumprod         ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 24                │ 12                ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 24                │ 12                ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 21                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference copy/groupby/groupby.cumsum.md b/api-reference copy/groupby/groupby.cumsum.md
new file mode 100644
index 0000000..3b2b0e6
--- /dev/null
+++ b/api-reference copy/groupby/groupby.cumsum.md	
@@ -0,0 +1,259 @@
+---
+description: Obtain the cumulative sum per groups for each column
+---
+
+# Groupby.cumsum
+
+> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative sum of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                │ 19                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                │ 27                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumsum          │ D_cumsum          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 9                 │ 9                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 9                 │ 9                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.get_groups.md b/api-reference copy/groupby/groupby.get_groups.md
new file mode 100644
index 0000000..0cdf912
--- /dev/null
+++ b/api-reference copy/groupby/groupby.get_groups.md	
@@ -0,0 +1,129 @@
+---
+description: Obtain the data for each element of the groupby column
+---
+
+# Groupby.get\_groups
+
+> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
+
+| Parameters | Type | Description | default |
+| :--- | :--- | :--- | :--- |
+| key | Array | element of the groupby column |  |
+
+**Returns**: DataFrame
+
+**Example**
+
+Group the dataframe by column A and obtain the group belonging to the values in column A
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+
+grp.get_groups(["foo"]).print()
+
+grp.get_groups(["bar"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//get groups for key "foo"
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get groups for key "bar"
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ three             │ 4                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+
+grp.get_groups(["foo","one"]).print()
+
+grp.get_groups(["bar","one"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+//get_groups(["foo","one"]
+
+
+ Shape: (2,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get_groups(["bar","one"])
+
+
+ Shape: (1,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
diff --git a/api-reference copy/groupby/groupby.max.md b/api-reference copy/groupby/groupby.max.md
new file mode 100644
index 0000000..43470f6
--- /dev/null
+++ b/api-reference copy/groupby/groupby.max.md	
@@ -0,0 +1,170 @@
+---
+description: Obtain the maximum value of columns per groups
+---
+
+# Groupby.max
+
+> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
+
+**Parameters:** None
+
+**Returns**: DataFrame
+
+**Example**
+
+Obtain the maximum value for a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_max             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_max             │ D_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 4                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).max().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_max             │ D_max             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference copy/groupby/groupby.mean.md b/api-reference copy/groupby/groupby.mean.md
new file mode 100644
index 0000000..add6958
--- /dev/null
+++ b/api-reference copy/groupby/groupby.mean.md	
@@ -0,0 +1,173 @@
+---
+description: Obtain the mean per groups for each column(s)
+---
+
+# Groupby.mean
+
+> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the mean of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+  Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_mean            │ D_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 4.19999980926...  │ 5.40000009536...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 3                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the mean for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).mean().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_mean            │ D_mean            ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.5               │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 3.5               │ 4.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.min.md b/api-reference copy/groupby/groupby.min.md
new file mode 100644
index 0000000..0151e64
--- /dev/null
+++ b/api-reference copy/groupby/groupby.min.md	
@@ -0,0 +1,171 @@
+---
+description: Obtain the minimum value per groups for a coumn(s)
+---
+
+# Groupby.min
+
+> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the minimum value for a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_min             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the minimum value for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_min             │ D_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 2                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the maximum value for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).min().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_min             │ D_min             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.std.md b/api-reference copy/groupby/groupby.std.md
new file mode 100644
index 0000000..c792a8e
--- /dev/null
+++ b/api-reference copy/groupby/groupby.std.md	
@@ -0,0 +1,175 @@
+---
+description: Obtain the standard deviation per groups for specified columns
+---
+
+# Groupby.std
+
+> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the standard deviation of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_std             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 2.58843582110...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_std             │ D_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 2.58843582110...  │ 2.07364413533...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 │ 2.64575131106...  ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).std().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+    Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.53553390593...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2.12132034355...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the std for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).std().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_std             │ D_std             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 3.53553390593...  │ 2.82842712474...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2.12132034355...  │ 0.70710678118...  ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.sum.md b/api-reference copy/groupby/groupby.sum.md
new file mode 100644
index 0000000..f6f2900
--- /dev/null
+++ b/api-reference copy/groupby/groupby.sum.md	
@@ -0,0 +1,172 @@
+---
+description: Obtain the sum per groups for columns
+---
+
+# Groupby.sum
+
+> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the sum of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_sum             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 21                ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_sum             │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 21                │ 27                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 9                 │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+   Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the sum for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).sum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_sum             │ D_sum             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 7                 │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/groupby/groupby.var.md b/api-reference copy/groupby/groupby.var.md
new file mode 100644
index 0000000..373109f
--- /dev/null
+++ b/api-reference copy/groupby/groupby.var.md	
@@ -0,0 +1,175 @@
+---
+description: Obtain the variance per groups for a specified column
+---
+
+# Groupby.var
+
+> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the variance of a column for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+
+ Shape: (2,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_var             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 6.7               ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (2,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_var             │ D_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 6.7               │ 4.3               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ 1                 │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).var().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 12.5              ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 4.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the var for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).var().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_var             │ D_var             ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 12.5              │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 4.5               │ 0.5               ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ three             │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ bar               │ one               │ 0                 │ 0                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ bar               │ two               │ 0                 │ 0                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference copy/input-output/README.md b/api-reference copy/input-output/README.md
new file mode 100644
index 0000000..e86d5de
--- /dev/null
+++ b/api-reference copy/input-output/README.md	
@@ -0,0 +1,18 @@
+---
+description: Functions for reading tabular/structured data into DataFrame/Series Objects
+---
+
+# Input/Output
+
+## CSV
+
+| \`\`                                |                                                          |
+| ----------------------------------- | -------------------------------------------------------- |
+| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
+| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
+| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
+| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
+| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
+| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
+
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference copy/input-output/danfo.read_csv.md b/api-reference copy/input-output/danfo.read_csv.md
new file mode 100644
index 0000000..a291533
--- /dev/null
+++ b/api-reference copy/input-output/danfo.read_csv.md	
@@ -0,0 +1,134 @@
+---
+description: >-
+  Reads a comma-separated values (CSV) file into DataFrame. Also supports the
+  reading of CSV files in chunks.
+---
+
+# danfo.read\_csv
+
+> danfo.**read\_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
+
+|                |                             |                                                                                                                                                                                                                            |                                                                                                                   |
+| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
+| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                                                                           |
+| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                                                                   |
+| **configs**:   | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>dynamicTyping:</strong> true,</p><p><strong>header:</strong> true</p><p>}</p> |
+
+**Returns:**
+
+\*\* \*\*_**Promise**_. Resolves to DataFrame
+
+The **read\_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
+
+### **Reading files from local disk**
+
+By specifying a valid file path, you can load CSV files from local disk:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_csv("./user_names.csv") //assumes file is in CWD
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading files from a URL**
+
+By specifying a valid URL, you can load CSV files from any location into Danfo\*\*'\*\*s data structure:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                //do something like display descriptive statistics
+                df.describe().print()
+                
+            }).catch(err => {
+                console.log(err);
+            })
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const csvFile = inputFile.files[0]
+            dfd.read_csv(csvFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.read_excel.md b/api-reference copy/input-output/danfo.read_excel.md
new file mode 100644
index 0000000..459aa30
--- /dev/null
+++ b/api-reference copy/input-output/danfo.read_excel.md	
@@ -0,0 +1,68 @@
+---
+description: Reads an excel file into DataFrame.
+---
+
+# danfo.read_excel
+
+> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
+| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
+
+> **Returns:**
+>
+> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
+
+### Example
+
+The **read_excel** method can read excel files saved on a local disk, or over the internet.
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+const path = require("path")
+
+let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
+
+async function load_process_data() {
+    let df = await dfd.read_excel(local_xcel)
+    df.head().print()
+}
+
+load_process_data()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
+        dfd.read_excel(remote_url).then(df => {
+            df.head().print()
+        })
+
+         
+    </script>
+</body>
+
+</html>
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.read_json.md b/api-reference copy/input-output/danfo.read_json.md
new file mode 100644
index 0000000..3c17457
--- /dev/null
+++ b/api-reference copy/input-output/danfo.read_json.md	
@@ -0,0 +1,127 @@
+---
+description: Reads a JSON file into DataFrame.
+---
+
+# danfo.read\_json
+
+> danfo.**read\_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
+
+|                |                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |                                                 |
+| -------------- | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
+| **Parameters** | Type                                               | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                | Default                                         |
+| _**source**_   | Input file object, string file\*\* \*\*path or URL | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p>An input file object is also supported in the browser.</p>                                                                                                                                                                                                                    |                                                 |
+| options        | Object                                             | <p>Configuration options for reading JSON files. Supported options:</p><p>{<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>}</p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
+
+**Returns:**
+
+\*\* \*\*_**Promise**_. Resolves to DataFrame
+
+The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+
+### **Reading JSON files from local disk**
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("./user_names.json")
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading JSON files from a URL**
+
+By specifying a valid URL, you can load JSON files from any location:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+  .then(df => {
+  
+   df.head().print()
+
+  }).catch(err=>{
+     console.log(err);
+  })
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+     
+     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+       .then(df => {
+       
+        df.head().print()
+     
+       }).catch(err=>{
+          console.log(err);
+       })
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const jsonFile = inputFile.files[0]
+            dfd.read_json(jsonFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.to_csv.md b/api-reference copy/input-output/danfo.to_csv.md
new file mode 100644
index 0000000..c3403cf
--- /dev/null
+++ b/api-reference copy/input-output/danfo.to_csv.md	
@@ -0,0 +1,115 @@
+---
+description: Writes a DataFrame or Series to CSV format.
+---
+
+# danfo.to\_csv
+
+> danfo.**to\_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+
+|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                    |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+
+The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+
+### Convert DataFrame to CSV string and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const csv = dfd.to_csv(df, { download: false });
+console.log(csv);
+
+//output
+Abs,Count,country code
+20.2,34,NG
+30,4,FR
+47.3,5,GH
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and write to file path
+
+Writing a CSV file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_csv(df, { filePath: "testOut.csv"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to CSV string and download file in Client-side lib
+
+You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
+
+```javascript
+const dfd = require("danfojs")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_csv(df, { fileName: "testOut.csv", download: true});
+```
diff --git a/api-reference copy/input-output/danfo.to_excel.md b/api-reference copy/input-output/danfo.to_excel.md
new file mode 100644
index 0000000..1fe1adf
--- /dev/null
+++ b/api-reference copy/input-output/danfo.to_excel.md	
@@ -0,0 +1,54 @@
+---
+description: >-
+  Converts a DataFrame or Series to Excel file and write file to disk or
+  download in browser.
+---
+
+# danfo.to_excel
+
+> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
+| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+
+The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+
+### Convert DataFrame to Excel and write to file path
+
+Writing an Excel file to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_excel(df, { filePath: "testOut.xlsx"});
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame to Excel and download the file in  Client-side lib
+
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_excel(df, { fileName: "testOut.xlsx"});
+```
diff --git a/api-reference copy/input-output/danfo.to_json.md b/api-reference copy/input-output/danfo.to_json.md
new file mode 100644
index 0000000..baac615
--- /dev/null
+++ b/api-reference copy/input-output/danfo.to_json.md	
@@ -0,0 +1,124 @@
+# danfo.to\_json
+
+> danfo.**to\_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+
+|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
+| -------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |                                                                 |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+
+The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+
+### Convert DataFrame/Series to JSON and return value
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+  Abs: [20.2, 30, 47.3],
+  Count: [34, 4, 5],
+  "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+const jsonObj = dfd.to_json(df, { download: false }); //column format
+console.log(jsonObj);
+
+//output
+[
+  { Abs: 20.2, Count: 34, 'country code': 'NG' },
+  { Abs: 30, Count: 4, 'country code': 'FR' },
+  { Abs: 47.3, Count: 5, 'country code': 'GH' }
+]
+
+//row format
+const jsonObj = dfd.to_json(df, {
+    download: false,
+    format: "row"
+});
+
+console.log(jsonObj);
+//output
+{
+  Abs: [ 20.2, 30, 47.3 ],
+  Count: [ 34, 4, 5 ],
+  'country code': [ 'NG', 'FR', 'GH' ]
+}
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+       let data = {
+          Abs: [20.2, 30, 47.3],
+          Count: [34, 4, 5],
+          "country code": ["NG", "FR", "GH"],
+        };
+        
+        let df = new dfd.DataFrame(data);
+        
+        const csv = df.to_csv({ download: false });
+        console.log(csv);
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and write to file path
+
+Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_json(df, { filePath: "./testOutput.json" });
+```
+{% endtab %}
+{% endtabs %}
+
+### Convert DataFrame/Series to JSON and download file in browser
+
+You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
+
+```javascript
+let data = {
+    Abs: [20.2, 30, 47.3],
+    Count: [34, 4, 5],
+    "country code": ["NG", "FR", "GH"],
+};
+
+let df = new dfd.DataFrame(data);
+
+dfd.to_json(df, { fileName: "test_out.json" });
+```
diff --git a/api-reference copy/input-output/read.md b/api-reference copy/input-output/read.md
new file mode 100644
index 0000000..c38778e
--- /dev/null
+++ b/api-reference copy/input-output/read.md	
@@ -0,0 +1,138 @@
+---
+description: >-
+  The generic read function loads a tabular data using the Frictionless
+  specification.
+---
+
+# read
+
+> danfo.**read**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left"><b>Parameters</b>
+      </th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+      <th style="text-align:left">Default</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left"><em><b>source</b></em>
+      </td>
+      <td style="text-align:left">string</td>
+      <td style="text-align:left">A path to the file/resources. It can be a local file, a URL to tabular
+        data (CSV, EXCEL) or Datahub.io Data Resource.</td>
+      <td style="text-align:left"></td>
+    </tr>
+    <tr>
+      <td style="text-align:left"><b>configs</b>
+      </td>
+      <td style="text-align:left">object</td>
+      <td style="text-align:left">
+        <p></p>
+        <p>Configuration options. Supported params are:</p>
+        <p><b>data_num</b> (Defaults =&gt; 0): The specific dataset to load, when
+          reading data from a datapackage.json,</p>
+        <p><b>header</b> (Defaults =&gt; true): Whether the dataset contains a header
+          or not.</p>
+        <p><b>sheet</b> (Defaults =&gt; 0): Number of the excel sheet which u want
+          to load.</p>
+        <p>}</p>
+      </td>
+      <td style="text-align:left"></td>
+    </tr>
+  </tbody>
+</table>
+
+**Returns:**
+
+     ****_**Promise**_. Resolves to DataFrame
+
+The **read** function uses [frictionless.js](https://github.com/frictionlessdata/frictionless-js) underhood.[`frictionless.js`](https://github.com/frictionlessdata/frictionless-js) is a lightweight, standardized "stream-plus-metadata" interface for accessing files and datasets, especially tabular ones \(CSV, Excel\). It follows the [Frictionless spec](https://frictionlessdata.io/specs/)
+
+> ### **Note**: The `read` method is only available in danfojs-node at the moment.
+
+### Read a CSV file
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let df = await dfd.read("file.csv")
+    let sample = await df.sample(10)
+    sample.print()
+}
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+### **Loading Files from URL**
+
+By specifying a valid URL, you can load CSV/EXCEL file:
+
+{% tabs %}
+{% tab title="Node.js" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+ let df = await dfd.read("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+ df.head().print()
+}
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+### Loading Data from a Data Package Descriptor
+
+You can load data from a frictionless data package [descriptor](https://specs.frictionlessdata.io/data-package/#descriptor). A data package descriptor is a central file in a Data Package. It is a JSON file that provides:
+
+* General metadata such as the package’s title, license, publisher etc
+* A list of the data “resources” that make up the package including their location on disk or online and other relevant information \(including, possibly, schema information about these data resources in a structured form\)
+
+For instance, in the example below, we load the first resource in the [Natural Gas dataset](https://datahub.io/core/natural-gas) from datahub.io. 
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+ const package_url =
+    "https://datahub.io/core/natural-gas/datapackage.json";
+
+  const df = await dfd.read(package_url, { data_num: 1 });
+  df.head().print();
+
+load_data()
+```
+{% endtab %}
+{% endtabs %}
+
+```bash
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ Date              │ Price             ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ 1997-01-07        │ 3.81999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ 1997-01-08        │ 3.79999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ 1997-01-09        │ 3.60999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ 1997-01-10        │ 3.91999999999...  ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ 1997-01-13        │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+
+
diff --git a/api-reference copy/plotting/README.md b/api-reference copy/plotting/README.md
new file mode 100644
index 0000000..93161e3
--- /dev/null
+++ b/api-reference copy/plotting/README.md	
@@ -0,0 +1,19 @@
+---
+description: >-
+  DataFrame and Series have inbuilt support for plotting using Plotly's backend.
+  All customization can be done using Plotly's parameter passed to the config
+  object.
+---
+
+# Plotting
+
+* [Line Charts](line-charts.md)
+* [Bar Charts](bar-charts.md)
+* [Scatter Plots](scatter-plots.md)
+* [Histograms](histograms.md)
+* [Pie Charts](pie-charts.md)
+* [Tables](tables.md)
+* [Box Plots](box-plots.md)
+* [Violin Plots](violin-plots.md)
+* [Timeseries Plots](timeseries-plots.md)
+
diff --git a/api-reference copy/plotting/bar-charts.md b/api-reference copy/plotting/bar-charts.md
new file mode 100644
index 0000000..6606bdc
--- /dev/null
+++ b/api-reference copy/plotting/bar-charts.md	
@@ -0,0 +1,75 @@
+---
+description: Makes a vertical bar plot.
+---
+
+# Bar Charts
+
+A bar plot presents categorical data with rectangular bars with lengths proportional to the values that they represent.
+
+## Examples
+
+The **bar** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter.
+
+### Bar plot on Series
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        s.plot("plot_div").bar()
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (6).png>)
+
+### Bar plot on DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").bar()
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (7).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/plotting/box-plots.md b/api-reference copy/plotting/box-plots.md
new file mode 100644
index 0000000..2adb60a
--- /dev/null
+++ b/api-reference copy/plotting/box-plots.md	
@@ -0,0 +1,116 @@
+---
+description: Make a box plot from DataFrame columns.
+---
+
+# Box Plots
+
+Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.
+
+## Examples
+
+### Boxplot for a Series Object
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
+        s.plot("plot_div").box()
+         
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (23).png>)
+
+### Box plots on a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                sub_df = df.loc({ columns: ["Age", "Fare"] })
+                sub_df.plot("plot_div").box()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
+
+### Box plot for selected columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df.plot("plot_div").box({x: "Survived", y: "Age"})
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (24).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/plotting/configuring-your-plots.md b/api-reference copy/plotting/configuring-your-plots.md
new file mode 100644
index 0000000..4cedbb2
--- /dev/null
+++ b/api-reference copy/plotting/configuring-your-plots.md	
@@ -0,0 +1,68 @@
+# Configuring your plots
+
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
+
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name.
+
+For example in the following code, we show how to set some basic configuration as well as layout for a line plot.
+
+```markup
+<!doctype html>
+<html>
+
+<head>
+    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+
+</head>
+
+<body>
+
+    <div id="mydiv"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+
+                var layout = {
+                    title: {
+                        text: "Time series plot of AAPL open and close points",
+                        x: 0
+                    },
+                    legend: {
+                        bgcolor: "#fcba03",
+                        bordercolor: "#444",
+                        borderwidth: 1,
+                        font: { family: "Arial", size: 10, color: "#fff" }
+                    },
+                    width: 1000,
+                    yaxis: {
+                        title: 'AAPL open points',
+                    },
+                    xaxis: {
+                        title: 'Date',
+                    }
+                }
+                var config = {
+                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
+                    displayModeBar: true,
+                    modeBarButtonsToAdd: [{ //Add custom button
+                        name: 'about',
+                        icon: Plotly.Icons.question,
+                        click: function (gd) {
+                            alert('An example of configuring Danfojs Plots')
+                        }
+                    }],
+                    layout //layout object
+                }
+
+                df.plot("mydiv").line(config)
+            })
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (32).png>)
diff --git a/api-reference copy/plotting/histograms.md b/api-reference copy/plotting/histograms.md
new file mode 100644
index 0000000..adabd84
--- /dev/null
+++ b/api-reference copy/plotting/histograms.md	
@@ -0,0 +1,117 @@
+---
+description: Draw one histogram of the DataFrame’s columns, or single histogram for Series
+---
+
+# Histograms
+
+A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
+
+## Examples
+
+### Histogram of a Column in a DataFrame
+
+In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df['Age'].plot("plot_div").hist()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (10).png>)
+
+### Customized Histogram plots on DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                var layout = {
+                    bargap: 0,
+                    bargroupgap: 0.1,
+                    barmode: "stack",
+                    title: "Histogram of two columns stacked",
+                    xaxis: { title: "Value" },
+                    yaxis: { title: "Count" }
+                }
+
+                sub_df = df.loc({ columns: ["Fare", "Age"] })
+                sub_df.plot("plot_div").hist({layout: layout })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (20).png>)
+
+### Configuring your plots
+
+danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
+
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
+
+```javascript
+var layout = {
+    title: 'A sample plot',
+    xaxis: {
+        title: 'X',
+    },
+    yaxis: {
+        title: 'Y',
+    }
+}
+
+df.plot("div_tag").histogram({layout: layout})
+```
+
+{% hint style="info" %}
+For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
+{% endhint %}
diff --git a/api-reference copy/plotting/line-charts.md b/api-reference copy/plotting/line-charts.md
new file mode 100644
index 0000000..79fe4d3
--- /dev/null
+++ b/api-reference copy/plotting/line-charts.md	
@@ -0,0 +1,109 @@
+---
+description: >-
+  Plot Series or DataFrame as lines. This function is useful to plot lines using
+  DataFrame’s values as coordinates.
+---
+
+# Line Charts
+
+## Examples
+
+### Basic Line plot on Series
+
+The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        s.plot("plot_div").line()
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (4).png>)
+
+### Line plots on DataFrame
+
+The example below shows the plot of column values against a common x-axis (index)
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").line()
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (2).png>)
+
+The example below shows how to plot two columns in a DataFrame against each other.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
+        df.plot("plot_div").line({x: 'pig', y: 'horse'})
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (3).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/plotting/pie-charts.md b/api-reference copy/plotting/pie-charts.md
new file mode 100644
index 0000000..6dce73d
--- /dev/null
+++ b/api-reference copy/plotting/pie-charts.md	
@@ -0,0 +1,123 @@
+---
+description: Generate a pie plot.
+---
+
+# Pie Charts
+
+A pie plot is a proportional representation of the numerical data in a column
+
+## Examples
+
+### Pie Chart from Columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Location: ["NG", "GH", "SA"],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+        
+        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (12).png>)
+
+### Multiple Pie Chart from Columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Count: [20, 50, 25],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+
+        df.plot("plot_div").pie({ labels: "Type"})
+
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (21).png>)
+
+### Configure Position of Pie Charts
+
+If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       df = new dfd.DataFrame({
+            Price: [19, 26, 55],
+            Count: [20, 50, 25],
+            Type: ['Residential', 'Non-Residential', 'Utility']
+        })
+
+       df.plot("plot_div").pie({ labels: "Type",
+                                 grid: { rows: 2, columns: 2 },
+                                 row_pos: [0, 1], col_pos: [0, 1] })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (22).png>)
+
+{% hint style="info" %}
+For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
+{% endhint %}
diff --git a/api-reference copy/plotting/scatter-plots.md b/api-reference copy/plotting/scatter-plots.md
new file mode 100644
index 0000000..77649d1
--- /dev/null
+++ b/api-reference copy/plotting/scatter-plots.md	
@@ -0,0 +1,88 @@
+---
+description: Create a scatter plot of columns in a DataFrame
+---
+
+# Scatter Plots
+
+The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables.
+
+## Examples
+
+### Scatter Plots on Columns in a DataFrame
+
+In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot-8- (1) (1).png>)
+
+### More Examples
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
+                sub_df.plot("plot_div").scatter()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (19).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/plotting/tables.md b/api-reference copy/plotting/tables.md
new file mode 100644
index 0000000..c67f0e2
--- /dev/null
+++ b/api-reference copy/plotting/tables.md	
@@ -0,0 +1,95 @@
+---
+description: Turn DataFrame/Series in D3.js-based tables
+---
+
+# Tables
+
+## Examples
+
+### Create Interactive Tables from DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+            
+                df.plot("plot_div").table()
+              
+              
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
+
+### Configure the header and cell of a table
+
+To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                header_style = {
+                    align: "center",
+                    fill: { color: ['gray'] },
+                    font: { family: "Arial", size: 15, color: "white" }
+                }
+                cell_style = {
+                    align: ["center"],
+                    line: { color: "black", width: 1 }
+                }
+
+                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+
+```
+
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference copy/plotting/timeseries-plots.md b/api-reference copy/plotting/timeseries-plots.md
new file mode 100644
index 0000000..7bbb089
--- /dev/null
+++ b/api-reference copy/plotting/timeseries-plots.md	
@@ -0,0 +1,58 @@
+---
+description: Timeseries plot are based on date index
+---
+
+# Timeseries Plots
+
+## Examples
+
+In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+            .then(df => {
+
+                var layout = {
+                    title: 'A financial charts',
+                    xaxis: {
+                        title: 'Date',
+                    },
+                    yaxis: {
+                        title: 'Count',
+                    }
+                }
+
+                new_df = df.set_index({ column: "Date" })
+                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/plotting/violin-plots.md b/api-reference copy/plotting/violin-plots.md
new file mode 100644
index 0000000..a3e6c11
--- /dev/null
+++ b/api-reference copy/plotting/violin-plots.md	
@@ -0,0 +1,112 @@
+# Violin Plots
+
+Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also [Box Plot](box-plots.md)
+
+## Examples
+
+### Boxplot for a Series Object
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
+        s.plot("plot_div").violin()
+         
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (25).png>)
+
+### Box plots on a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                sub_df = df.loc({ columns: ["Age", "Fare"] })
+                sub_df.plot("plot_div").violin()
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (26).png>)
+
+### Box plot for selected columns in a DataFrame
+
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <div id="plot_div"></div>
+    <script>
+
+         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+            .then(df => {
+
+                df.plot("plot_div").violin({x: "Survived", y: "Age"})
+
+            }).catch(err => {
+                console.log(err);
+            })
+
+    </script>
+</body>
+
+</html>
+```
+
+![](<../../.gitbook/assets/newplot (27).png>)
+
+{% hint style="info" %}
+To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+{% endhint %}
diff --git a/api-reference copy/series/README.md b/api-reference copy/series/README.md
new file mode 100644
index 0000000..421bc63
--- /dev/null
+++ b/api-reference copy/series/README.md	
@@ -0,0 +1,182 @@
+---
+description: One-dimensional ndarray with axis labels (including time series).
+---
+
+# Series
+
+> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ], **index:** \[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
+
+### Attributes
+
+| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
+| --------------------------------- | ------------------------------------------- |
+
+| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
+| ----------------------------------- | ---------------------------------------------------------------- |
+| [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
+| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
+| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
+| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
+| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
+
+### Conversion
+
+| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
+| --------------------------------------------------- | ---------------------------------------------- |
+| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
+
+### Indexing, iteration
+
+|                                                         |                                                                    |
+| ------------------------------------------------------- | ------------------------------------------------------------------ |
+| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
+| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
+
+### Binary operator functions
+
+| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
+| --------------------------------- | --------------------------------------------------------------------------------------- |
+| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
+| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
+| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
+| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
+| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
+| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
+| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
+| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
+| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
+| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
+| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
+| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
+| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
+
+### Function application & GroupBy
+
+| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
+| --------------------------------- | ------------------------------------------------------- |
+| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
+
+### Computations / descriptive stats
+
+| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
+| ----------------------------------------------------------- | ---------------------------------------------------------------- |
+| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
+| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
+| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
+| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
+| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
+| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
+| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
+| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
+| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
+| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
+| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
+| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
+| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
+| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
+| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
+| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
+| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
+| [`Series.value_counts`](series.value\_counts.md)            | Return a Series containing counts of unique values.              |
+
+### Reindexing / selection / label manipulation
+
+|                                                        |                                                          |
+| ------------------------------------------------------ | -------------------------------------------------------- |
+| [`Series.drop_duplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
+| [`Series.head`](series.head.md)                        | Return the first n rows.                                 |
+| [`Series.reset_index`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
+| [`Series.sample`](series.sample.md)                    | Return a random sample of items from an axis of object.  |
+| [`Series.tail`](series.tail.md)                        | Return the last n rows.                                  |
+
+### Missing data handling
+
+|                                       |                                                  |
+| ------------------------------------- | ------------------------------------------------ |
+| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
+| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
+| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
+| [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value.  |
+
+### Reshaping, sorting
+
+| [`Series.argsort`](series.argsort.md)          | Return the integer indices that would sort the Series values. |
+| ---------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.argmin`](series.argmin.md)            | Return int position of the smallest value in the Series.      |
+| [`Series.argmax`](series.argmax.md)            | Return int position of the largest value in the Series.       |
+| [`Series.sort_values`](series.sort\_values.md) | Sort by the values.                                           |
+
+### Accessors
+
+Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
+
+| Data Type | Accessor |
+| --------- | -------- |
+| Datetime  | dt       |
+| String    | str      |
+
+#### Datetimelike properties
+
+`Series.dt` can be used to access the values of the series as datetime and return several properties. These can be accessed like `Series.dt.<property>`.
+
+**Datetime methods**
+
+|                                                    |                                                                    |
+| -------------------------------------------------- | ------------------------------------------------------------------ |
+| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                          |
+| [`Series.dt.month`](series.dt.month.md)            | The month as January=1, December=12.                               |
+| [`Series.dt.day`](series.dt.day.md)                | The day of the datetime.                                           |
+| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                         |
+| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                       |
+| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                       |
+| [`Series.dt.weekdays`](series.dt.weekdays.md)      | The day of the week with Monday=0, Sunday=6.                       |
+| [`Series.dt.month_name`](series.dt.month\_name.md) | Return the month names of the DateTimeIndex with specified locale. |
+
+#### String handling
+
+`Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
+
+| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
+| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
+| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
+| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
+| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
+| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
+| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
+| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
+| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
+| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
+| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
+| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
+| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
+| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
+| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
+| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
+| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
+| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
+| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
+| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
+| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
+
+### Plotting
+
+`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
+
+|                                                       |                                                               |
+| ----------------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
+| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
+| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
+| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
+| [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
+| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
+| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
+| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
+| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
+
+### Serialization / IO / conversion
+
+|                                                        |                                                      |
+| ------------------------------------------------------ | ---------------------------------------------------- |
+| [`Series.to_csv`](../dataframe/dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
+| [`Series.to_json`](../dataframe/dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference copy/series/creating-a-series.md b/api-reference copy/series/creating-a-series.md
new file mode 100644
index 0000000..3c8e4ba
--- /dev/null
+++ b/api-reference copy/series/creating-a-series.md	
@@ -0,0 +1,210 @@
+# Creating a Series
+
+new danfo.**Series**\(data, options\)
+
+<table>
+  <thead>
+    <tr>
+      <th style="text-align:left">Parameters</th>
+      <th style="text-align:left">Type</th>
+      <th style="text-align:left">Description</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <td style="text-align:left">data</td>
+      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
+      <td style="text-align:left">Flat data structure to load into DataFrame</td>
+    </tr>
+    <tr>
+      <td style="text-align:left">options</td>
+      <td style="text-align:left">Object</td>
+      <td style="text-align:left">
+        <p>Optional configuration object. Supported properties are:
+          <br />
+        </p>
+        <p><b>index:</b> Array of numeric or string names for subseting array. If
+          not specified, indexes are auto-generated.
+          <br />
+        </p>
+        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
+          dtypes are/is inferred.
+          <br />
+        </p>
+        <p><b>config</b>: General configuration object for extending or setting NDframe
+          behavior. See full options here</p>
+      </td>
+    </tr>
+  </tbody>
+</table>
+
+In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
+
+### Creating a Series from an object:
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```javascript
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series from an array
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+obj_data = ["bval1", "bval2", "bval3", "bval4"]
+df = new dfd.Series(obj_data)
+df.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
+            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
+            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
+
+        df = new dfd.DataFrame(json_data)
+        df.print()
+
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══════╗
+║ 0 │ bval1 ║
+╟───┼───────╢
+║ 1 │ bval2 ║
+╟───┼───────╢
+║ 2 │ bval3 ║
+╟───┼───────╢
+║ 3 │ bval4 ║
+╚═══╧═══════╝
+```
+
+### Creating a Series and specifying index and dtypes
+
+You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
+
+> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2, 3, 4, 5];
+let index = ["a", "b", "c", "d", "e"];
+let dtypes = ["int32",]
+
+let df = new Series(data1, { index, dtypes });
+df.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╚═══╧═══╝
+```
+
+### Creating a Series and specifying memory mode
+
+To use less space on Series creation, you can set the low memory mode as demonstrated below:
+
+```javascript
+import { Series } from "danfojs"
+
+let data1 = [1, 2.3, 3, 4, 5, "girl"];
+
+let df = new Series(data1, {
+    config: { lowMemoryMode: true }
+});
+df.print()
+```
+
+{% hint style="info" %}
+**Note**: In low memory mode, less space is used by the Series.
+{% endhint %}
+
diff --git a/api-reference copy/series/danfo.series.add.md b/api-reference copy/series/danfo.series.add.md
new file mode 100644
index 0000000..7cd6150
--- /dev/null
+++ b/api-reference copy/series/danfo.series.add.md	
@@ -0,0 +1,22 @@
+---
+description: 'Return Addition of series and other, element-wise (binary operator add).'
+---
+
+# danfo.Series.add
+
+Return Addition of series and other, element-wise \(binary operator add\).
+
+            **parameter:** {other} Series or Number to add
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 6]
+let data2 = [30, 40, 39, 1, 2, 1]
+let sf = new Series(data)
+let sf2 = new Series(data2)
+sf.add(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.apply.md b/api-reference copy/series/danfo.series.apply.md
new file mode 100644
index 0000000..d59a99c
--- /dev/null
+++ b/api-reference copy/series/danfo.series.apply.md	
@@ -0,0 +1,63 @@
+---
+description: invoke a function on Series Value
+---
+
+# danfo.Series.apply
+
+> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function | Function \(can be anonymous\) to apply |  |
+
+**Returns:**
+
+       ****return **Series**
+
+\*\*\*\*
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+let apply_func = (x) => {
+    return x + x
+}
+sf.apply(apply_func).print()
+```
+
+**OUTPUT:**
+
+![](../../.gitbook/assets/series_apply.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+sf.apply(Math.log).print()
+```
+
+**OUTPUT:**
+
+![](../../.gitbook/assets/series_apply1.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
+
+sf.apply((x)=>{
+    return x.toLocaleLowerCase()
+}).print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_apply2.png)
+
+
+
diff --git a/api-reference copy/series/danfo.series.copy.md b/api-reference copy/series/danfo.series.copy.md
new file mode 100644
index 0000000..c610c04
--- /dev/null
+++ b/api-reference copy/series/danfo.series.copy.md	
@@ -0,0 +1,22 @@
+# danfo.Series.copy
+
+Make a new copy of Series
+
+
+
+**parameter:** 
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
+sf_copy = sf.copy()
+
+
+let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
+sf = sf.set_index({ "index": ["a", "b", "c", "d"] })
+sf_copy = sf.copy()
+```
+
diff --git a/api-reference copy/series/danfo.series.count.md b/api-reference copy/series/danfo.series.count.md
new file mode 100644
index 0000000..50a5789
--- /dev/null
+++ b/api-reference copy/series/danfo.series.count.md	
@@ -0,0 +1,24 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# danfo.Series.count
+
+Return number of non-NA/null observations in the Series.
+
+This is equivalent to the method numpy.sum
+
+            **parameter:** 
+
+            **return:** {Number}, sum of values in Series
+
+**Example**
+
+```javascript
+let data = ["boy", "gitl", "woman", NaN]
+let sf = new Series(data)
+sf.count()
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.describe.md b/api-reference copy/series/danfo.series.describe.md
new file mode 100644
index 0000000..184dbe9
--- /dev/null
+++ b/api-reference copy/series/danfo.series.describe.md	
@@ -0,0 +1,26 @@
+# danfo.Series.describe
+
+
+
+Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values
+
+
+
+**parameter:** 
+
+            **return:** {frame}
+
+**Example**
+
+```javascript
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three"] })
+
+
+let data = [1,2,3,4,5,6]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+df.reset_index()
+```
+
diff --git a/api-reference copy/series/danfo.series.div.md b/api-reference copy/series/danfo.series.div.md
new file mode 100644
index 0000000..ae2731b
--- /dev/null
+++ b/api-reference copy/series/danfo.series.div.md	
@@ -0,0 +1,26 @@
+---
+description: >-
+  Return Floating division of series and other, element-wise (binary operator
+  truediv).
+---
+
+# danfo.Series.div
+
+Return division of series and other, element-wise \(binary operator div\).
+
+Equivalent to series / other
+
+            **parameter:** {other} Series, Number to divide with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.div(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.head.md b/api-reference copy/series/danfo.series.head.md
new file mode 100644
index 0000000..1bc9d5e
--- /dev/null
+++ b/api-reference copy/series/danfo.series.head.md	
@@ -0,0 +1,25 @@
+---
+description: This function returns the first n rows for the object based on position.
+---
+
+# danfo.Series.head
+
+
+
+Prints the first n values in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let cols = ["A"]
+let sf = new Series(data, { columns: cols })
+sf.head()
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.map.md b/api-reference copy/series/danfo.series.map.md
new file mode 100644
index 0000000..9d7cad4
--- /dev/null
+++ b/api-reference copy/series/danfo.series.map.md	
@@ -0,0 +1,42 @@
+---
+description: Map the value of a series to it representation
+---
+
+# danfo.Series.map
+
+> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
+
+| Parameter | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| callable | Function or Object | callable can either be a function or an object\({}\) |  |
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1,2,3,4])
+let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
+sf.map(map)
+
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_map.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let sf = new dfd.Series([1,2,3,4])
+
+sf.map((x)=>{
+    return `I have ${x} cat(s)`
+}).print()
+
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_map1.png)
+
diff --git a/api-reference copy/series/danfo.series.max.md b/api-reference copy/series/danfo.series.max.md
new file mode 100644
index 0000000..cac4ba1
--- /dev/null
+++ b/api-reference copy/series/danfo.series.max.md	
@@ -0,0 +1,2 @@
+# danfo.Series.max
+
diff --git a/api-reference copy/series/danfo.series.maximum.md b/api-reference copy/series/danfo.series.maximum.md
new file mode 100644
index 0000000..9082120
--- /dev/null
+++ b/api-reference copy/series/danfo.series.maximum.md	
@@ -0,0 +1,22 @@
+# danfo.Series.maximum
+
+Return maximum of series and other, element-wise \(binary operator div\).
+
+
+
+            **parameter:** {other} Series, Numbers to check maximum against
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.maximum(sf2)
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.mean.md b/api-reference copy/series/danfo.series.mean.md
new file mode 100644
index 0000000..6ace487
--- /dev/null
+++ b/api-reference copy/series/danfo.series.mean.md	
@@ -0,0 +1,2 @@
+# danfo.Series.mean
+
diff --git a/api-reference copy/series/danfo.series.median.md b/api-reference copy/series/danfo.series.median.md
new file mode 100644
index 0000000..077c0ec
--- /dev/null
+++ b/api-reference copy/series/danfo.series.median.md	
@@ -0,0 +1,2 @@
+# danfo.Series.median
+
diff --git a/api-reference copy/series/danfo.series.min.md b/api-reference copy/series/danfo.series.min.md
new file mode 100644
index 0000000..22f3589
--- /dev/null
+++ b/api-reference copy/series/danfo.series.min.md	
@@ -0,0 +1,2 @@
+# danfo.Series.min
+
diff --git a/api-reference copy/series/danfo.series.minimum.md b/api-reference copy/series/danfo.series.minimum.md
new file mode 100644
index 0000000..2a9d9c6
--- /dev/null
+++ b/api-reference copy/series/danfo.series.minimum.md	
@@ -0,0 +1,22 @@
+# danfo.Series.minimum
+
+
+
+Return minimum of series and other, element-wise \(binary operator div\).
+
+
+
+            **parameter:** {other} Series, Numbers to check minimum against
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.minimum(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.mod.md b/api-reference copy/series/danfo.series.mod.md
new file mode 100644
index 0000000..577014d
--- /dev/null
+++ b/api-reference copy/series/danfo.series.mod.md	
@@ -0,0 +1,24 @@
+---
+description: 'Return Modulo of series and other, element-wise (binary operator mod).'
+---
+
+# danfo.Series.mod
+
+Return Modulo of series and other, element-wise \(binary operator mod\).
+
+Equivalent to series % other
+
+            **parameter:** {other} Series, Number
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [2, 30, 4, 5]
+let data2 = [1.1, 2.2, 3.3, 2.4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.mod(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.mode.md b/api-reference copy/series/danfo.series.mode.md
new file mode 100644
index 0000000..8d86e6e
--- /dev/null
+++ b/api-reference copy/series/danfo.series.mode.md	
@@ -0,0 +1,2 @@
+# danfo.Series.mode
+
diff --git a/api-reference copy/series/danfo.series.mul.md b/api-reference copy/series/danfo.series.mul.md
new file mode 100644
index 0000000..6cdac92
--- /dev/null
+++ b/api-reference copy/series/danfo.series.mul.md	
@@ -0,0 +1,26 @@
+---
+description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
+---
+
+# danfo.Series.mul
+
+Return Multiplication of series and other, element-wise \(binary operator mul\).
+
+Equivalent to series \* other, but with support to substitute a fill\_value for missing data in one of the inputs.
+
+            **parameter:** {Series, Number to multiply with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.mul(sf2)
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.pow.md b/api-reference copy/series/danfo.series.pow.md
new file mode 100644
index 0000000..291a993
--- /dev/null
+++ b/api-reference copy/series/danfo.series.pow.md	
@@ -0,0 +1,26 @@
+---
+description: >-
+  Return Exponential power of series and other, element-wise (binary operator
+  pow).
+---
+
+# danfo.Series.pow
+
+Return Exponential power of series and other, element-wise \(binary operator pow\).
+
+Equivalent to series \*\* other
+
+            **parameter:** {other} Series, Number to multiply with.
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [2, 3, 4, 5]
+let data2 = [1, 2, 3, 0]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.pow(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.reset_index.md b/api-reference copy/series/danfo.series.reset_index.md
new file mode 100644
index 0000000..7a908a9
--- /dev/null
+++ b/api-reference copy/series/danfo.series.reset_index.md	
@@ -0,0 +1,31 @@
+# danfo.Series.reset\_index
+
+
+
+Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
+
+
+
+**parameter:** {kwargs} {inplace: Modify the Series in place \(do not create a new object, drop: Just reset the index, without inserting it as a column in the new DataFrame.}
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["one", "two", "three"] })
+let df_reset = df_new.reset_index()
+df_reset.print()
+
+
+let data = [1,2,3,4,5,6]
+let df = new Series(data)
+df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
+let df_new = df.reset_index()
+df_new 
+```
+
diff --git a/api-reference copy/series/danfo.series.round.md b/api-reference copy/series/danfo.series.round.md
new file mode 100644
index 0000000..2bbacbb
--- /dev/null
+++ b/api-reference copy/series/danfo.series.round.md	
@@ -0,0 +1,20 @@
+# danfo.Series.round
+
+Round each value in a Series to the given number of decimals.
+
+
+
+ **parameter:** {dp} Number, Numbers of Decimal places to round to
+
+            **return:** {Series}
+
+**Example**
+
+```javascript
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf = new Series(data1)
+sf.round(1)
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.sample.md b/api-reference copy/series/danfo.series.sample.md
new file mode 100644
index 0000000..fa8f326
--- /dev/null
+++ b/api-reference copy/series/danfo.series.sample.md	
@@ -0,0 +1,22 @@
+---
+description: Return a random sample of items from an axis of object.
+---
+
+# danfo.Series.sample
+
+Gets \[num\] number of random rows in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf = new Series(data)
+sf.sample(2)
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.set_index.md b/api-reference copy/series/danfo.series.set_index.md
new file mode 100644
index 0000000..5cb3d28
--- /dev/null
+++ b/api-reference copy/series/danfo.series.set_index.md	
@@ -0,0 +1,40 @@
+---
+description: Assign new Index to Series
+---
+
+# danfo.Series.set\_index
+
+> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| kwargs | Object {} | The object contains the key **index** and assigned an array value of equal length to the Series. format {"index": \[Array\] } |   |
+
+**Example**
+
+```javascript
+const dfd = require("danfojs")
+
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["one", "two", "three"] })
+df_new.print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series.reset_index.png)
+
+```javascript
+const dfd = require("danfojs")
+
+let data = ["Humans","Life","Meaning","Fact","Truth"]
+let df = new dfd.Series(data)
+let df_new = df.set_index({ "index": ["H", "L", "M","F","T"] })
+df_new.print()
+```
+
+**OUTPUT**
+
+![](../../.gitbook/assets/series_reset_index2.png)
+
diff --git a/api-reference copy/series/danfo.series.sort_values.md b/api-reference copy/series/danfo.series.sort_values.md
new file mode 100644
index 0000000..0a0c4e7
--- /dev/null
+++ b/api-reference copy/series/danfo.series.sort_values.md	
@@ -0,0 +1,27 @@
+# danfo.Series.sort\_values
+
+
+
+Sort a Series in ascending or descending order by some criterion.
+
+
+
+ **parameter:** {kwargs} Object, {ascending \(Bool\): Whether to return sorted values in ascending order or not, inplace \(Bool\): Whether to perform sorting on the original Series or not}
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values()
+
+
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values({ "inplace": true })
+
+
+let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
+sf.sort_values({ "ascending": false, "inplace": true })
+```
+
diff --git a/api-reference copy/series/danfo.series.std.md b/api-reference copy/series/danfo.series.std.md
new file mode 100644
index 0000000..8f48ef2
--- /dev/null
+++ b/api-reference copy/series/danfo.series.std.md	
@@ -0,0 +1,20 @@
+# danfo.Series.std
+
+Return sample standard deviation over requested axis.
+
+
+
+ **parameter:** 
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.std()
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.sub.md b/api-reference copy/series/danfo.series.sub.md
new file mode 100644
index 0000000..8867c14
--- /dev/null
+++ b/api-reference copy/series/danfo.series.sub.md	
@@ -0,0 +1,24 @@
+---
+description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
+---
+
+# danfo.Series.sub
+
+Returns the subtraction between a series and other, element-wise \(binary operator subtraction\).
+
+Equivalent to series - other
+
+            **parameter:** {other} Series, Number to subtract
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 39, 1, 2, 1]
+let data2 = [1, 2, 3, 4, 5, 6]
+let sf1 = new Series(data1)
+let sf2 = new Series(data2)
+sf1.sub(sf2)
+```
+
diff --git a/api-reference copy/series/danfo.series.sum-1.md b/api-reference copy/series/danfo.series.sum-1.md
new file mode 100644
index 0000000..6ec14cb
--- /dev/null
+++ b/api-reference copy/series/danfo.series.sum-1.md	
@@ -0,0 +1,22 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# danfo.Series.sum
+
+Return the sum of the values for the requested axis.
+
+This is equivalent to the method numpy.sum.
+
+            **parameter:** 
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.sum()
+```
+
diff --git a/api-reference copy/series/danfo.series.tail.md b/api-reference copy/series/danfo.series.tail.md
new file mode 100644
index 0000000..e83307d
--- /dev/null
+++ b/api-reference copy/series/danfo.series.tail.md	
@@ -0,0 +1,22 @@
+---
+description: Prints the last n values in a Series
+---
+
+# danfo.Series.tail
+
+Prints the first n values in a Series
+
+            **parameter:** {rows}  Number of rows to return
+
+            **return:** Series
+
+**Example**
+
+```javascript
+let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf = new Series(data)
+sf.tail()
+```
+
+
+
diff --git a/api-reference copy/series/danfo.series.tostring.md b/api-reference copy/series/danfo.series.tostring.md
new file mode 100644
index 0000000..5807850
--- /dev/null
+++ b/api-reference copy/series/danfo.series.tostring.md	
@@ -0,0 +1,18 @@
+# danfo.Series.toString
+
+
+
+Prints the data in a Series as a grid of row and columns
+
+
+
+**parameter:** 
+
+            **return:** {frame}
+
+**Example**
+
+```javascript
+
+```
+
diff --git a/api-reference copy/series/danfo.series.var.md b/api-reference copy/series/danfo.series.var.md
new file mode 100644
index 0000000..822edc7
--- /dev/null
+++ b/api-reference copy/series/danfo.series.var.md	
@@ -0,0 +1,20 @@
+# danfo.Series.var
+
+
+
+Return unbiased variance of Series.
+
+
+
+ **parameter:** 
+
+            **return:** {Number}
+
+**Example**
+
+```javascript
+let data1 = [30, 40, 3, 5]
+let sf = new Series(data1)
+sf.var()
+```
+
diff --git a/api-reference copy/series/series.abs.md b/api-reference copy/series/series.abs.md
new file mode 100644
index 0000000..843dd5e
--- /dev/null
+++ b/api-reference copy/series/series.abs.md	
@@ -0,0 +1,52 @@
+---
+description: Returns the absolute value in a Series
+---
+
+# Series.abs
+
+> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
+
+| Parameters | Type   | Description                                                                                          | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [-10, 45, 56, -25, 23, -20, 10]
+let sf = new dfd.Series(data1)
+
+sf.abs().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 25                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 6 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.add.md b/api-reference copy/series/series.add.md
new file mode 100644
index 0000000..e55b1b8
--- /dev/null
+++ b/api-reference copy/series/series.add.md	
@@ -0,0 +1,86 @@
+---
+description: Return Addition of series and other, element-wise (binary operator add).
+---
+
+# Series.add
+
+> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+subtract from values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.add(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 31                   ║
+╟───┼──────────────────────╢
+║ 1 │ 42                   ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 9                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+subtract from a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.add(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 3                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 5                    ║
+╟───┼──────────────────────╢
+║ 3 │ 6                    ║
+╟───┼──────────────────────╢
+║ 4 │ 7                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.and.md b/api-reference copy/series/series.and.md
new file mode 100644
index 0000000..85c22cb
--- /dev/null
+++ b/api-reference copy/series/series.and.md	
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical AND between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.and
+
+> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical AND between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.and(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical AND between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.and(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.append.md b/api-reference copy/series/series.append.md
new file mode 100644
index 0000000..53e8f03
--- /dev/null
+++ b/api-reference copy/series/series.append.md	
@@ -0,0 +1,135 @@
+---
+description: Add a new value or values to the end of a Series.
+---
+
+# Series.append
+
+danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
+
+| Parameters | Type          | Description                                                                                                                | Default |
+| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
+| newValue   | Array, Series | Object to append                                                                                                           |         |
+| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
+| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+****
+
+### **Append new Series to the end of a Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+
+new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
+new_sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Append new Series to the end of a Series in-place**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sf2 = new dfd.Series(["a", "b", "c"])
+let newIndex = ["f5", "f6", "f7"]
+
+sf1.append(sf2, newIndex, { inplace: true })
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+```
+
+### **Append an array to the end of Series**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
+let sfArr = ["a", "b", "c"]
+
+new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
+new_sf.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤═══╗
+║ f1 │ 1 ║
+╟────┼───╢
+║ f2 │ 2 ║
+╟────┼───╢
+║ f3 │ 3 ║
+╟────┼───╢
+║ f4 │ 4 ║
+╟────┼───╢
+║ f5 │ a ║
+╟────┼───╢
+║ f6 │ b ║
+╟────┼───╢
+║ f7 │ c ║
+╚════╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.apply.md b/api-reference copy/series/series.apply.md
new file mode 100644
index 0000000..7f7050e
--- /dev/null
+++ b/api-reference copy/series/series.apply.md	
@@ -0,0 +1,149 @@
+---
+description: Invoke a function on each value in a Series.
+---
+
+# Series.apply
+
+> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
+
+| Parameters | Type     | Description                                                                                    | Default                               |
+| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
+| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+****
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+let apply_func = (x) => {
+    return x + x
+}
+sf.apply(apply_func).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 8                    ║
+╟───┼──────────────────────╢
+║ 4 │ 10                   ║
+╟───┼──────────────────────╢
+║ 5 │ 12                   ║
+╟───┼──────────────────────╢
+║ 6 │ 14                   ║
+╟───┼──────────────────────╢
+║ 7 │ 16                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
+
+sf.apply(Math.log).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0.6931471805599453   ║
+╟───┼──────────────────────╢
+║ 2 │ 1.0986122886681096   ║
+╟───┼──────────────────────╢
+║ 3 │ 1.3862943611198906   ║
+╟───┼──────────────────────╢
+║ 4 │ 1.6094379124341003   ║
+╟───┼──────────────────────╢
+║ 5 │ 1.791759469228055    ║
+╟───┼──────────────────────╢
+║ 6 │ 1.9459101490553132   ║
+╟───┼──────────────────────╢
+║ 7 │ 2.0794415416798357   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
+
+sf.apply((x)=>{
+    return x.toLocaleLowerCase()
+}).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ rice                 ║
+╟───┼──────────────────────╢
+║ 1 │ beans                ║
+╟───┼──────────────────────╢
+║ 2 │ yam                  ║
+╟───┼──────────────────────╢
+║ 3 │ banana               ║
+╟───┼──────────────────────╢
+║ 4 │ wheat                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.argmax.md b/api-reference copy/series/series.argmax.md
new file mode 100644
index 0000000..d7927d2
--- /dev/null
+++ b/api-reference copy/series/series.argmax.md	
@@ -0,0 +1,35 @@
+---
+description: Returns the int position of the largest value in the series
+---
+
+# Series.argmax
+
+> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
+
+**Parameters**: None
+
+**Returns**: int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,30,20,40,50,70,90,200,10,20,12]
+let sf = new dfd.Series(data)
+
+sf.argmax()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+7
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.argmin.md b/api-reference copy/series/series.argmin.md
new file mode 100644
index 0000000..dfc661f
--- /dev/null
+++ b/api-reference copy/series/series.argmin.md	
@@ -0,0 +1,35 @@
+---
+description: Returns the int position of the smallest value in the series
+---
+
+# Series.argmin
+
+> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
+
+**Parameters**: None
+
+**Returns**: int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,30,20,40,50,70,90,200,10,20,12]
+let sf = new dfd.Series(data)
+
+sf.argmin()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+0
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.argsort.md b/api-reference copy/series/series.argsort.md
new file mode 100644
index 0000000..b4608a4
--- /dev/null
+++ b/api-reference copy/series/series.argsort.md	
@@ -0,0 +1,75 @@
+---
+description: Return the integer indices that would sort the Series values
+---
+
+# Series.argsort
+
+> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
+
+| Parameters | Type   | Description                            | Default                                               |
+| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
+| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
+
+**Returns:** Series (int element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [10, 45, 20, 10, 23, 20, 30, 11]
+let sf = new dfd.Series(data)
+
+sf.argsort().print() //defaults to ascending order
+sf.argsort({ ascending: false }).print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 3                    ║
+╟───┼──────────────────────╢
+║ 2 │ 7                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 4                    ║
+╟───┼──────────────────────╢
+║ 6 │ 6                    ║
+╟───┼──────────────────────╢
+║ 7 │ 1                    ║
+╚═══╧══════════════════════╝
+
+//sorted in descending order
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 6 ║
+╟───┼───╢
+║ 2 │ 4 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 3 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.astype.md b/api-reference copy/series/series.astype.md
new file mode 100644
index 0000000..15a61ae
--- /dev/null
+++ b/api-reference copy/series/series.astype.md	
@@ -0,0 +1,2 @@
+# Series.astype
+
diff --git a/api-reference copy/series/series.copy.md b/api-reference copy/series/series.copy.md
new file mode 100644
index 0000000..9bbdb47
--- /dev/null
+++ b/api-reference copy/series/series.copy.md	
@@ -0,0 +1,45 @@
+---
+description: Makes a deep copy of a Series
+---
+
+# Series.copy
+
+> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
+
+**parameter:** 
+
+**Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+let sf2 = sf1.copy()
+
+sf2.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30.21091             ║
+╟───┼──────────────────────╢
+║ 1 │ 40.190901            ║
+╟───┼──────────────────────╢
+║ 2 │ 3.564                ║
+╟───┼──────────────────────╢
+║ 3 │ 5.0212               ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.corr.md b/api-reference copy/series/series.corr.md
new file mode 100644
index 0000000..ee3263f
--- /dev/null
+++ b/api-reference copy/series/series.corr.md	
@@ -0,0 +1,2 @@
+# Series.corr
+
diff --git a/api-reference copy/series/series.count.md b/api-reference copy/series/series.count.md
new file mode 100644
index 0000000..832c794
--- /dev/null
+++ b/api-reference copy/series/series.count.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the total number of values in a series
+---
+
+# Series.count
+
+> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.count())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+9
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.cummax.md b/api-reference copy/series/series.cummax.md
new file mode 100644
index 0000000..8aded1a
--- /dev/null
+++ b/api-reference copy/series/series.cummax.md	
@@ -0,0 +1,51 @@
+---
+description: Returns cumulative maximum over a series
+---
+
+# Series.cummax
+
+> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cummax().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 3 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 56                   ║
+╟───┼──────────────────────╢
+║ 5 │ 56                   ║
+╟───┼──────────────────────╢
+║ 6 │ 56                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.cummin.md b/api-reference copy/series/series.cummin.md
new file mode 100644
index 0000000..736cee5
--- /dev/null
+++ b/api-reference copy/series/series.cummin.md	
@@ -0,0 +1,51 @@
+---
+description: Returns the cumulative min of a Series
+---
+
+# Series.cummin
+
+> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 5, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cummin().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 10                   ║
+╟───┼──────────────────────╢
+║ 2 │ 10                   ║
+╟───┼──────────────────────╢
+║ 3 │ 5                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 5                    ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.cumprod.md b/api-reference copy/series/series.cumprod.md
new file mode 100644
index 0000000..84ec0e7
--- /dev/null
+++ b/api-reference copy/series/series.cumprod.md	
@@ -0,0 +1,51 @@
+---
+description: Return the cumulative product of a series
+---
+
+# Series.cumprod
+
+> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cumprod().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 450                  ║
+╟───┼──────────────────────╢
+║ 2 │ 25200                ║
+╟───┼──────────────────────╢
+║ 3 │ 630000               ║
+╟───┼──────────────────────╢
+║ 4 │ 14490000             ║
+╟───┼──────────────────────╢
+║ 5 │ 289800000            ║
+╟───┼──────────────────────╢
+║ 6 │ 2898000000           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.cumsum.md b/api-reference copy/series/series.cumsum.md
new file mode 100644
index 0000000..7b7a19a
--- /dev/null
+++ b/api-reference copy/series/series.cumsum.md	
@@ -0,0 +1,74 @@
+---
+description: Return a cumulative sum of a series
+---
+
+# Series.cumsum
+
+> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.cumsum().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/dist/index.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+      //danfo is exposed on dfd namespace 
+      s = new dfd.Series([1,2,3,4,5]) 
+
+    </script>
+
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 55                   ║
+╟───┼──────────────────────╢
+║ 2 │ 111                  ║
+╟───┼──────────────────────╢
+║ 3 │ 136                  ║
+╟───┼──────────────────────╢
+║ 4 │ 159                  ║
+╟───┼──────────────────────╢
+║ 5 │ 179                  ║
+╟───┼──────────────────────╢
+║ 6 │ 189                  ║
+╚═══╧══════════════════════╝
+```
diff --git a/api-reference copy/series/series.describe.md b/api-reference copy/series/series.describe.md
new file mode 100644
index 0000000..ce52246
--- /dev/null
+++ b/api-reference copy/series/series.describe.md	
@@ -0,0 +1,57 @@
+---
+description: >-
+  Generate descriptive statistics. Descriptive statistics include those that
+  summarize the central tendency, dispersion and shape of a dataset’s
+  distribution, excluding NaN values
+---
+
+# Series.describe
+
+> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
+
+**Parameters:** No parameter
+
+**return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = [1,2,3,4,5,6]
+let sf = new dfd.Series(data)
+sf.describe().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔══════════╤══════════════════════╗
+║          │ 0                    ║
+╟──────────┼──────────────────────╢
+║ count    │ 6                    ║
+╟──────────┼──────────────────────╢
+║ mean     │ 3.5                  ║
+╟──────────┼──────────────────────╢
+║ std      │ 1.8708286933869707   ║
+╟──────────┼──────────────────────╢
+║ min      │ 1                    ║
+╟──────────┼──────────────────────╢
+║ median   │ 3.5                  ║
+╟──────────┼──────────────────────╢
+║ max      │ 6                    ║
+╟──────────┼──────────────────────╢
+║ variance │ 3.5                  ║
+╚══════════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.div.md b/api-reference copy/series/series.div.md
new file mode 100644
index 0000000..656a796
--- /dev/null
+++ b/api-reference copy/series/series.div.md	
@@ -0,0 +1,87 @@
+---
+description: >-
+  Return Floating division of series and other, element-wise (binary operator
+  truediv).
+---
+
+# Series.div
+
+> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+divide with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.div(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 20                   ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1.25                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### divide with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.div(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0.5                  ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1.5                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 2.5                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dot.md b/api-reference copy/series/series.dot.md
new file mode 100644
index 0000000..61a8bc2
--- /dev/null
+++ b/api-reference copy/series/series.dot.md	
@@ -0,0 +1,2 @@
+# Series.dot
+
diff --git a/api-reference copy/series/series.drop_duplicates.md b/api-reference copy/series/series.drop_duplicates.md
new file mode 100644
index 0000000..08edf09
--- /dev/null
+++ b/api-reference copy/series/series.drop_duplicates.md	
@@ -0,0 +1,121 @@
+---
+description: Remove duplicate rows
+---
+
+# Series.drop\_duplicates
+
+> danfo.Series.**drop\_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
+| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:** Series
+
+**Examples**
+
+### Drop duplicate by keeping the first occurrence of the duplicate value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
+let sf = new dfd.Series(data1)
+let sf_drop = sf.drop_duplicates()
+
+sf_drop.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop duplicate and keep only the last duplicated value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
+let sf = new dfd.Series(data1)
+let sf_drop = sf.drop_duplicates({keep:"last"})
+
+sf_drop.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 2 │ 56                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Remove duplicate value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
+let sf = new dfd.Series(data1)
+sf.drop_duplicates({inplace:true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ A                    ║
+╟───┼──────────────────────╢
+║ 3 │ B                    ║
+╟───┼──────────────────────╢
+║ 5 │ C                    ║
+╟───┼──────────────────────╢
+║ 7 │ D                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dropna.md b/api-reference copy/series/series.dropna.md
new file mode 100644
index 0000000..2fab716
--- /dev/null
+++ b/api-reference copy/series/series.dropna.md	
@@ -0,0 +1,91 @@
+---
+description: Remove missing values from Series
+---
+
+# Series.dropna
+
+> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
+
+| Parameters | Type   | Description                                                                                    | Default                             |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Examples**
+
+### Drop all nan value and then return New Series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
+let sf = new dfd.Series(data1)
+let sf_rep = sf.dropna()
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 3 │ 10                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Drop nan values in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
+let sf = new dfd.Series(data1)
+sf.dropna({inplace:true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 45                   ║
+╟───┼──────────────────────╢
+║ 3 │ 10                   ║
+╟───┼──────────────────────╢
+║ 4 │ 23                   ║
+╟───┼──────────────────────╢
+║ 5 │ 20                   ║
+╟───┼──────────────────────╢
+║ 7 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.day.md b/api-reference copy/series/series.dt.day.md
new file mode 100644
index 0000000..6461fa5
--- /dev/null
+++ b/api-reference copy/series/series.dt.day.md	
@@ -0,0 +1,55 @@
+---
+description: Obtain the numerical representation of the week day.
+---
+
+# Series.dt.day
+
+> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
+
+**Parameters**: None
+
+**Returns:** Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
+let sf = new dfd.Series(data)
+
+sf.dt.day().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
+```
diff --git a/api-reference copy/series/series.dt.hour.md b/api-reference copy/series/series.dt.hour.md
new file mode 100644
index 0000000..16369bb
--- /dev/null
+++ b/api-reference copy/series/series.dt.hour.md	
@@ -0,0 +1,52 @@
+---
+description: Obtain the hours in a time series
+---
+
+# Series.dt.hour
+
+> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
+
+**Parameters:** None
+
+**Returns:** Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
+let sf = new dfd.Series(data)
+// print series
+sf.print()
+// print hour series
+sf.dt.hours().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 2:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.minute.md b/api-reference copy/series/series.dt.minute.md
new file mode 100644
index 0000000..ea8bfee
--- /dev/null
+++ b/api-reference copy/series/series.dt.minute.md	
@@ -0,0 +1,60 @@
+---
+description: Obtain the minutes in a Time Series
+---
+
+# Series.dt.minutes
+
+> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
+
+**Parameters**: None
+
+**Returns:** Series (int Elements)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
+let sf = new dfd.Series(data)
+//print the series
+sf.print()
+//print the minutes series
+sf.dt.minutes().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 1:01:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2000, 1:02:00 AM ║
+╚═══╧══════════════════════╝
+
+//print the minutes series
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0                    ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.month.md b/api-reference copy/series/series.dt.month.md
new file mode 100644
index 0000000..e21eeda
--- /dev/null
+++ b/api-reference copy/series/series.dt.month.md	
@@ -0,0 +1,47 @@
+---
+description: Obtain the month in a date time series
+---
+
+# Series.dt.month
+
+> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
+
+**Parameters**: None
+
+**Returns:** Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
+let sf = new dfd.Series(data)
+
+sf.dt.month().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 0 │ 6  ║
+╟───┼────╢
+║ 1 │ 7  ║
+╟───┼────╢
+║ 2 │ 9  ║
+╟───┼────╢
+║ 3 │ 9  ║
+╟───┼────╢
+║ 4 │ 11 ║
+╟───┼────╢
+║ 5 │ 11 ║
+╚═══╧════╝
+```
diff --git a/api-reference copy/series/series.dt.month_name.md b/api-reference copy/series/series.dt.month_name.md
new file mode 100644
index 0000000..4e83618
--- /dev/null
+++ b/api-reference copy/series/series.dt.month_name.md	
@@ -0,0 +1,55 @@
+---
+description: obtain the month name in a Time Series
+---
+
+# Series.dt.month\_name
+
+> danfo.Series.dt.month\_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
+
+**Parameters**: None
+
+**Returns:** Series (String elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print month names
+sf.dt.month_name().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2018, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 2/1/2018, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 3/1/2018, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═════╗
+║ 0 │ Jan ║
+╟───┼─────╢
+║ 1 │ Feb ║
+╟───┼─────╢
+║ 2 │ Mar ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.monthday.md b/api-reference copy/series/series.dt.monthday.md
new file mode 100644
index 0000000..b385f17
--- /dev/null
+++ b/api-reference copy/series/series.dt.monthday.md	
@@ -0,0 +1,55 @@
+---
+description: Obtain the day of the month
+---
+
+# Series.dt.monthday
+
+> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
+
+**Parameters:** None
+
+**Returns**: Series (Int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print monthdays
+sf.dt.monthday().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/2/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/3/2000, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.second.md b/api-reference copy/series/series.dt.second.md
new file mode 100644
index 0000000..43330be
--- /dev/null
+++ b/api-reference copy/series/series.dt.second.md	
@@ -0,0 +1,60 @@
+---
+description: Obtain the seconds in Date series
+---
+
+# Series.dt.seconds
+
+> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
+
+**Parameters**: None
+
+**Returns:** Series (Int elements)
+
+**Example**
+
+Obtain the seconds of the datetime
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
+let sf = new dfd.Series(data)
+//print the series frame
+sf.print()
+
+//print the seconds obtained
+sf.dt.seconds().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2000, 1:00:01 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2000, 1:00:02 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╚═══╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.dt.weekdays.md b/api-reference copy/series/series.dt.weekdays.md
new file mode 100644
index 0000000..04dbe18
--- /dev/null
+++ b/api-reference copy/series/series.dt.weekdays.md	
@@ -0,0 +1,79 @@
+---
+description: Obtain the days of the weeks
+---
+
+# Series.dt.weekdays
+
+> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
+
+**Parameters**: None
+
+**Returns:** Series (String elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let sf = new dfd.Series(data)
+//print series
+sf.print()
+//print days of the week
+sf.dt.weekdays().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
+
+╔═══╤══════╗
+║ 0 │ Sat  ║
+╟───┼──────╢
+║ 1 │ Sun  ║
+╟───┼──────╢
+║ 2 │ Mon  ║
+╟───┼──────╢
+║ 3 │ Tue  ║
+╟───┼──────╢
+║ 4 │ Wed  ║
+╟───┼──────╢
+║ 5 │ Thur ║
+╟───┼──────╢
+║ 6 │ Fri  ║
+╟───┼──────╢
+║ 7 │ Sat  ║
+╟───┼──────╢
+║ 8 │ Sun  ║
+╟───┼──────╢
+║ 9 │ Mon  ║
+╚═══╧══════╝
+```
diff --git a/api-reference copy/series/series.dt.year.md b/api-reference copy/series/series.dt.year.md
new file mode 100644
index 0000000..ed1117f
--- /dev/null
+++ b/api-reference copy/series/series.dt.year.md	
@@ -0,0 +1,45 @@
+---
+description: Obtain the year in a date time series
+---
+
+# Series.dt.year
+
+> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
+
+**Parameters**: None
+
+**Returns:** Series (int elements)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
+let sf = new dfd.Series(data)
+sf.print()
+sf.dt.year().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+//print date time series
+╔═══╤══════════════════════╗
+║ 0 │ 1/1/2000, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 1 │ 1/1/2001, 1:00:00 AM ║
+╟───┼──────────────────────╢
+║ 2 │ 1/1/2002, 1:00:00 AM ║
+╚═══╧══════════════════════╝
+
+╔═══╤══════╗
+║ 0 │ 2000 ║
+╟───┼──────╢
+║ 1 │ 2001 ║
+╟───┼──────╢
+║ 2 │ 2002 ║
+╚═══╧══════╝
+```
diff --git a/api-reference copy/series/series.dtype.md b/api-reference copy/series/series.dtype.md
new file mode 100644
index 0000000..75b4614
--- /dev/null
+++ b/api-reference copy/series/series.dtype.md	
@@ -0,0 +1,34 @@
+---
+description: Obtain the dtype of a series
+---
+
+# Series.dtype
+
+> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
+
+**Parameters**: None
+
+**Returns:** String
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.dtype)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+float32
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.eq.md b/api-reference copy/series/series.eq.md
new file mode 100644
index 0000000..43a3ece
--- /dev/null
+++ b/api-reference copy/series/series.eq.md	
@@ -0,0 +1,95 @@
+---
+description: Check all the values in a series is equal to another value
+---
+
+# Series.eq
+
+> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
+
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
+
+**Returns**: Series (Boolean element)
+
+**Examples**
+
+Compare all the values in a series to another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.eq(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Check it all the values are equal to a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.eq(10).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.fillna.md b/api-reference copy/series/series.fillna.md
new file mode 100644
index 0000000..a1db3a8
--- /dev/null
+++ b/api-reference copy/series/series.fillna.md	
@@ -0,0 +1,106 @@
+---
+description: Replace all NaN value with specified value
+---
+
+# Series.fillna
+
+> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
+
+| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Examples**
+
+### Fill nan value and then return new series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
+let sf = new dfd.Series(data1)
+
+let sf_rep = sf.fillna({ value: -999})
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -999                 ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 33                   ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 5 │ -999                 ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 7                    ║
+╟───┼──────────────────────╢
+║ 9 │ 8                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Fill nan value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
+let sf = new dfd.Series(data1)
+sf.fillna({ value: -999, inplace: true })
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -999                 ║
+╟───┼──────────────────────╢
+║ 1 │ 1                    ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 33                   ║
+╟───┼──────────────────────╢
+║ 4 │ 4                    ║
+╟───┼──────────────────────╢
+║ 5 │ -999                 ║
+╟───┼──────────────────────╢
+║ 6 │ 5                    ║
+╟───┼──────────────────────╢
+║ 7 │ 6                    ║
+╟───┼──────────────────────╢
+║ 8 │ 7                    ║
+╟───┼──────────────────────╢
+║ 9 │ 8                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.ge.md b/api-reference copy/series/series.ge.md
new file mode 100644
index 0000000..0fb1aeb
--- /dev/null
+++ b/api-reference copy/series/series.ge.md	
@@ -0,0 +1,95 @@
+---
+description: Check if all the values in a series is greater than or equal a value
+---
+
+# Series.ge
+
+> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns:** Series (Boolean element)
+
+**Example**
+
+Compare all the value in a Series to the values in another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.ge(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Check if all the value in a Series is greater than or equal a value.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.ge(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.gt.md b/api-reference copy/series/series.gt.md
new file mode 100644
index 0000000..184ca28
--- /dev/null
+++ b/api-reference copy/series/series.gt.md	
@@ -0,0 +1,95 @@
+---
+description: Check if all the value in a series is greater than a value
+---
+
+# Series.gt
+
+> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+Check if all the values in a series are greater than a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.gt(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are greater than values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.gt(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.head.md b/api-reference copy/series/series.head.md
new file mode 100644
index 0000000..2892263
--- /dev/null
+++ b/api-reference copy/series/series.head.md	
@@ -0,0 +1,51 @@
+---
+description: Obtain the first n rows for the object based on position.
+---
+
+# Series.head
+
+> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| rows | Int | number of first n values | 5 |
+
+ **Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf1 = new dfd.Series(data1)
+
+sf1.head().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference copy/series/series.iloc.md b/api-reference copy/series/series.iloc.md
new file mode 100644
index 0000000..ab7d1f3
--- /dev/null
+++ b/api-reference copy/series/series.iloc.md	
@@ -0,0 +1,158 @@
+# Series.iloc
+
+danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `5`.
+* A list or array of integers, e.g. `[4, 3, 0]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `"1:7"`
+
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+
+`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
+
+### **Indexing specific rows by index**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc([0,5]).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 5 │ 30                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row**
+
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(["0:5"]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 12                   ║
+╟───┼──────────────────────╢
+║ 1 │ 34                   ║
+╟───┼──────────────────────╢
+║ 2 │ 2.2                  ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 30                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+By specifying a start index in a slice, all values after that index are returned.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(["5:"]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 5 │ 30                   ║
+╟───┼──────────────────────╢
+║ 6 │ 2.1                  ║
+╟───┼──────────────────────╢
+║ 7 │ 7                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Slice Series by boolean condition&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.iloc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
diff --git a/api-reference copy/series/series.index.md b/api-reference copy/series/series.index.md
new file mode 100644
index 0000000..1cc95da
--- /dev/null
+++ b/api-reference copy/series/series.index.md	
@@ -0,0 +1,33 @@
+---
+description: Obtain the index of a Series
+---
+
+# Series.index
+
+> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
+
+**Returns**: Array
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.index)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 0, 1, 2, 3 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.isna.md b/api-reference copy/series/series.isna.md
new file mode 100644
index 0000000..cdf6343
--- /dev/null
+++ b/api-reference copy/series/series.isna.md	
@@ -0,0 +1,45 @@
+---
+description: Detect Missing values
+---
+
+# Series.isna
+
+> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
+
+**Parameters**: None
+
+**Returns**:  Series \(Boolean element\)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [NaN, undefined, "girl", "Man"]
+let sf = new dfd.Series(data1)
+
+sf.isna().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.le.md b/api-reference copy/series/series.le.md
new file mode 100644
index 0000000..44006e2
--- /dev/null
+++ b/api-reference copy/series/series.le.md	
@@ -0,0 +1,96 @@
+---
+description: Check if all the values in a series is less than or equal to a value
+---
+
+# Series.le
+
+> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns:** Series (Boolean Element)
+
+**Example**
+
+Check if all the values in a series is less than or equal to a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.le(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ false                ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are less than equal to values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.le(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ true                 ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.loc.md b/api-reference copy/series/series.loc.md
new file mode 100644
index 0000000..13772ab
--- /dev/null
+++ b/api-reference copy/series/series.loc.md	
@@ -0,0 +1,198 @@
+---
+description: Access a group of rows by label(s) or a boolean array.
+---
+
+# Series.loc
+
+danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+
+| Parameters | Type           | Description                                                             | Default |
+| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
+| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
+
+**Returns:**
+
+&#x20;      ****       return **Series**
+
+## **Examples**
+
+`.loc()` is  label position based (from `0` to `length-1` of the row axis).
+
+Allowed inputs are:
+
+* An integer, e.g. `"r1"`.
+* A list or array of integers, e.g. `["a", "b", "d"]`.
+* A boolean mask. E.g \[ true, false, false ]
+* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
+
+_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+
+`.loc` will raise a `ValueEror` if a requested label is not found.
+
+### **Indexing by specific row index**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc(["a", "g"]).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╟───┼─────╢
+║ e │ 30  ║
+╟───┼─────╢
+║ f │ 30  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╟───┼─────╢
+║ h │ 7   ║
+╚═══╧═════╝
+
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ g │ 2.1 ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Index by a slice of row**
+
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
+let s = new dfd.Series(data, { index })
+s.print()
+
+s.loc([`"a":"e"`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ a │ 12  ║
+╟───┼─────╢
+║ b │ 34  ║
+╟───┼─────╢
+║ c │ 2.2 ║
+╟───┼─────╢
+║ d │ 2   ║
+╚═══╧═════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% hint style="info" %}
+Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
+`s.loc([a:e]).print()`\
+For the slice above to work, you must quote each slice, e.g:\
+`s.loc(["a":"e"]).print()`\
+\
+_**Inner quotes are not needed for numeric indices!**_
+{% endhint %}
+
+### By specifying a start index in a slice, all values after that index are returned.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
+let s = new dfd.Series(data)
+
+s.loc([`1:`]).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 1 │ 34  ║
+╟───┼─────╢
+║ 2 │ 2.2 ║
+╟───┼─────╢
+║ 3 │ 2   ║
+╟───┼─────╢
+║ 4 │ 30  ║
+╟───┼─────╢
+║ 5 │ 30  ║
+╟───┼─────╢
+║ 6 │ 2.1 ║
+╟───┼─────╢
+║ 7 │ 7   ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Slice Series by boolean condition&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
+s.loc(s.gt(20)).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤════╗
+║ 1 │ 34 ║
+╟───┼────╢
+║ 4 │ 30 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
+```
diff --git a/api-reference copy/series/series.lt.md b/api-reference copy/series/series.lt.md
new file mode 100644
index 0000000..7af18bc
--- /dev/null
+++ b/api-reference copy/series/series.lt.md	
@@ -0,0 +1,96 @@
+---
+description: Check if all values in a Series are less than a value.
+---
+
+# Series.lt
+
+> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
+
+| Parameters | Type                    | Description         | Default |
+| ---------- | ----------------------- | ------------------- | ------- |
+| other      | Series, Array or number | value(s) to compare |         |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+Check if all the values in a series are less than a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.lt(20).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+check if all the values in a series are less than values in another series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.lt(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ false                ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ false                ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.map.md b/api-reference copy/series/series.map.md
new file mode 100644
index 0000000..0e0850a
--- /dev/null
+++ b/api-reference copy/series/series.map.md	
@@ -0,0 +1,92 @@
+---
+description: Map the value of a series to a function or Object
+---
+
+# Series.map
+
+> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
+
+| Parameter | Type               | Description                                                                                    | Default                               |
+| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| callable  | Function or Object | A function or object({})                                                                       |                                       |
+| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Example**
+
+Mapping the element in a Series  words in an Object
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1, 2, 3, 4])
+let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
+sf.map(map).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ ok                   ║
+╟───┼──────────────────────╢
+║ 1 │ okie                 ║
+╟───┼──────────────────────╢
+║ 2 │ frit                 ║
+╟───┼──────────────────────╢
+║ 3 │ gop                  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Mapping values in a Series to a representation using functions.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series([1,2,3,4])
+
+sf.map((x)=>{
+    return `I have ${x} cat(s)`
+}).print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ I have 1 cat(s)      ║
+╟───┼──────────────────────╢
+║ 1 │ I have 2 cat(s)      ║
+╟───┼──────────────────────╢
+║ 2 │ I have 3 cat(s)      ║
+╟───┼──────────────────────╢
+║ 3 │ I have 4 cat(s)      ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.max.md b/api-reference copy/series/series.max.md
new file mode 100644
index 0000000..4f7193a
--- /dev/null
+++ b/api-reference copy/series/series.max.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the maximum value in a Series
+---
+
+# Series.max
+
+> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.max())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+89
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.maximum.md b/api-reference copy/series/series.maximum.md
new file mode 100644
index 0000000..afc5a48
--- /dev/null
+++ b/api-reference copy/series/series.maximum.md	
@@ -0,0 +1,50 @@
+---
+description: Obtain the maximum number between two series
+---
+
+# Series.maximum
+
+> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series | series to match |  |
+
+**Return:** {Series}
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.maximum(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 41                   ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 5                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference copy/series/series.mean.md b/api-reference copy/series/series.mean.md
new file mode 100644
index 0000000..17d97e6
--- /dev/null
+++ b/api-reference copy/series/series.mean.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the mean of a series
+---
+
+# Series.mean
+
+> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.mean())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+23.000001907348633
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.median.md b/api-reference copy/series/series.median.md
new file mode 100644
index 0000000..d1cde75
--- /dev/null
+++ b/api-reference copy/series/series.median.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the median of a series
+---
+
+# Series.median
+
+> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.median())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+4
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.min.md b/api-reference copy/series/series.min.md
new file mode 100644
index 0000000..6e11a67
--- /dev/null
+++ b/api-reference copy/series/series.min.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the minimum value in a series
+---
+
+# Series.min
+
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.min())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+0
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.minimum.md b/api-reference copy/series/series.minimum.md
new file mode 100644
index 0000000..a06ba69
--- /dev/null
+++ b/api-reference copy/series/series.minimum.md	
@@ -0,0 +1,48 @@
+---
+description: Obtain the minimum value between two series (element wise)
+---
+
+# Series.minimum
+
+> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series | series to match |  |
+
+**Return:** {Series}
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [10, 41, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.minimum(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 10                   ║
+╟───┼──────────────────────╢
+║ 1 │ 40                   ║
+╟───┼──────────────────────╢
+║ 2 │ 2                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.mod.md b/api-reference copy/series/series.mod.md
new file mode 100644
index 0000000..fdf0555
--- /dev/null
+++ b/api-reference copy/series/series.mod.md	
@@ -0,0 +1,85 @@
+---
+description: Return Modulo of series and other, element-wise (binary operator mod).
+---
+
+# Series.mod
+
+> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
+
+| Parameters | Type               | Description                                                                                    | Default                               |
+| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\|float | values                                                                                         |                                       |
+| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+Modulus with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [2, 30, 4, 5]
+let data2 = [1.1, 2.2, 3.3, 2.4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.mod(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 0.8999999761581421   ║
+╟───┼──────────────────────╢
+║ 1 │ 1.3999993801116943   ║
+╟───┼──────────────────────╢
+║ 2 │ 0.7000000476837158   ║
+╟───┼──────────────────────╢
+║ 3 │ 0.19999980926513672  ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Modulo with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.mod(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 0                    ║
+╟───┼──────────────────────╢
+║ 4 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.mode.md b/api-reference copy/series/series.mode.md
new file mode 100644
index 0000000..6077686
--- /dev/null
+++ b/api-reference copy/series/series.mode.md	
@@ -0,0 +1,36 @@
+---
+description: Obtain the center value in a series
+---
+
+# Series.mode
+
+> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.mode())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+[ 4 ]
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.mul.md b/api-reference copy/series/series.mul.md
new file mode 100644
index 0000000..d5d33de
--- /dev/null
+++ b/api-reference copy/series/series.mul.md	
@@ -0,0 +1,86 @@
+---
+description: Return Multiplication of series and other, element-wise (binary operator mul).
+---
+
+# Series.mul
+
+> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+multiplication with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.mul(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30                   ║
+╟───┼──────────────────────╢
+║ 1 │ 80                   ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 20                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+multiply with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.mul(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 6                    ║
+╟───┼──────────────────────╢
+║ 3 │ 8                    ║
+╟───┼──────────────────────╢
+║ 4 │ 10                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.ndim.md b/api-reference copy/series/series.ndim.md
new file mode 100644
index 0000000..8623e80
--- /dev/null
+++ b/api-reference copy/series/series.ndim.md	
@@ -0,0 +1,34 @@
+---
+description: Obtain the dimension of a series
+---
+
+# Series.ndim
+
+> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
+
+**Parameters:** None
+
+**Returns:** int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.ndim)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+1
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.ne.md b/api-reference copy/series/series.ne.md
new file mode 100644
index 0000000..16cf1dc
--- /dev/null
+++ b/api-reference copy/series/series.ne.md	
@@ -0,0 +1,95 @@
+---
+description: Check if all values in a  series is not equal to a value(s)
+---
+
+# Series.ne
+
+> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
+
+| Parameters | Type                    | Description       | Default |
+| ---------- | ----------------------- | ----------------- | ------- |
+| other      | Series, Array or number |  value to compare |         |
+
+**Returns**: Series (Boolean element)
+
+**Example**
+
+Compare all the values in a series to that in another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let data2 = [10, 450, 56, 5, 25, 2, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+
+sf1.ne(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Compare all the values in a Series to a value.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf1 = new dfd.Series(data1)
+
+sf1.ne(10).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╟───┼──────────────────────╢
+║ 4 │ true                 ║
+╟───┼──────────────────────╢
+║ 5 │ true                 ║
+╟───┼──────────────────────╢
+║ 6 │ false                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.nunique.md b/api-reference copy/series/series.nunique.md
new file mode 100644
index 0000000..092a2eb
--- /dev/null
+++ b/api-reference copy/series/series.nunique.md	
@@ -0,0 +1,34 @@
+---
+description: Returns the number of unique values in a series
+---
+
+# Series.nunique
+
+> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+
+**Parameters**: None
+
+**Returns:** int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+console.log(sf.nunique())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Ouptut" %}
+```
+9
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.or.md b/api-reference copy/series/series.or.md
new file mode 100644
index 0000000..948c61d
--- /dev/null
+++ b/api-reference copy/series/series.or.md	
@@ -0,0 +1,132 @@
+---
+description: >-
+  Returns the logical OR between Series and other. Supports element wise
+  operations and broadcasting.
+---
+
+# Series.or
+
+> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+
+ **Return:** Series
+
+### **Logical OR between two Series object**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let sf2 = new dfd.Series(data2);
+let res = sf.or(sf2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between Series and Array of the same length**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [false, false, false, true, false, false, true];
+let data2 = [false, false, false, false, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(data2)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### **Logical OR between a Series and single value with broadcasting**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data1 = [false, false, false, true, false, false, true];
+
+let sf = new dfd.Series(data1);
+let res = sf.or(false)
+res.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.pow.md b/api-reference copy/series/series.pow.md
new file mode 100644
index 0000000..2fbe542
--- /dev/null
+++ b/api-reference copy/series/series.pow.md	
@@ -0,0 +1,87 @@
+---
+description: >-
+  Return Exponential power of series and other, element-wise (binary operator
+  pow).
+---
+
+# Series.pow
+
+> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+Exponential power with values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [2, 3, 4, 5]
+let data2 = [1, 2, 3, 0]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.pow(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 2                    ║
+╟───┼──────────────────────╢
+║ 1 │ 9                    ║
+╟───┼──────────────────────╢
+║ 2 │ 64                   ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Exponential value with a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.pow(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 4                    ║
+╟───┼──────────────────────╢
+║ 2 │ 9                    ║
+╟───┼──────────────────────╢
+║ 3 │ 16                   ║
+╟───┼──────────────────────╢
+║ 4 │ 25                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.replace.md b/api-reference copy/series/series.replace.md
new file mode 100644
index 0000000..8a1f48b
--- /dev/null
+++ b/api-reference copy/series/series.replace.md	
@@ -0,0 +1,89 @@
+---
+description: Replace values given in replace param with value
+---
+
+# Series.replace
+
+> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Examples**
+
+### Replace a value in a series and return a new series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf = new dfd.Series(data1)
+let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
+
+sf_rep.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+### Replace a value in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [10, 45, 56, 25, 23, 20, 10]
+let sf = new dfd.Series(data1)
+sf.replace({ oldValue: 10, newValue: -50, inplace: true})
+
+sf.print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤═════╗
+║ 0 │ -50 ║
+╟───┼─────╢
+║ 1 │ 45  ║
+╟───┼─────╢
+║ 2 │ 56  ║
+╟───┼─────╢
+║ 3 │ 25  ║
+╟───┼─────╢
+║ 4 │ 23  ║
+╟───┼─────╢
+║ 5 │ 20  ║
+╟───┼─────╢
+║ 6 │ -50 ║
+╚═══╧═════╝
+
+```
diff --git a/api-reference copy/series/series.reset_index.md b/api-reference copy/series/series.reset_index.md
new file mode 100644
index 0000000..c51497a
--- /dev/null
+++ b/api-reference copy/series/series.reset_index.md	
@@ -0,0 +1,113 @@
+---
+description: Reset the index of a series.
+---
+
+# Series.reset\_index
+
+> danfo.series.reset\_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
+
+| Parameters | Type   | Description                                                                                         | Default          |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
+
+**Returns :** Series
+
+`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
+
+### **Reset index to default values**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [20, 30, 40]
+let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
+sf.print()
+
+let sf_reset = sf.reset_index()
+sf_reset.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ a │ 20 ║
+╟───┼────╢
+║ b │ 30 ║
+╟───┼────╢
+║ c │ 40 ║
+╚═══╧════╝
+
+╔═══╤════╗
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 2 │ 40 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Reset index to new values in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
+sf.print()
+
+sf.reset_index({ inplace: true })
+sf.print()
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ a │ 1 ║
+╟───┼───╢
+║ b │ 2 ║
+╟───┼───╢
+║ c │ 3 ║
+╟───┼───╢
+║ d │ 4 ║
+╟───┼───╢
+║ e │ 5 ║
+╟───┼───╢
+║ f │ 6 ║
+╚═══╧═══╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 2 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 4 ║
+╟───┼───╢
+║ 4 │ 5 ║
+╟───┼───╢
+║ 5 │ 6 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.round.md b/api-reference copy/series/series.round.md
new file mode 100644
index 0000000..b6f0d82
--- /dev/null
+++ b/api-reference copy/series/series.round.md	
@@ -0,0 +1,48 @@
+---
+description: round off floating values in series
+---
+
+# Series.round
+
+> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
+
+| Parameters | Type   | Description                                                                                    | Default                               |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| dp         | int    | decimal place to round off to                                                                  |                                       |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+sf1.round(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 30.21                ║
+╟───┼──────────────────────╢
+║ 1 │ 40.19                ║
+╟───┼──────────────────────╢
+║ 2 │ 3.56                 ║
+╟───┼──────────────────────╢
+║ 3 │ 5.02                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.sample.md b/api-reference copy/series/series.sample.md
new file mode 100644
index 0000000..a28298d
--- /dev/null
+++ b/api-reference copy/series/series.sample.md	
@@ -0,0 +1,65 @@
+---
+description: Return a random sample of items from an axis of object.
+---
+
+# Series.sample
+
+> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
+
+| Parameters | Type   | Description                                                                                                                                  | Default                        |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
+| num        | Int    | The number of rows to return.                                                                                                                |                                |
+| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
+
+**Returns:**
+
+&#x20;      ****       return **{Promies} resolves to Series**
+
+**Example**
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+  let sf1 = new dfd.Series(data1);
+  let sample = await sf1.sample(5)
+  sample.print()
+  
+}
+load_data()
+```
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤════╗
+║ 2 │ 3  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 0 │ 1  ║
+╟───┼────╢
+║ 7 │ 40 ║
+╟───┼────╢
+║ 6 │ 30 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Specify a seed when sampling
+
+```javascript
+const dfd = require("danfojs-node")
+
+async function load_data() {
+    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+    let sf1 = new dfd.Series(data1);
+    let sample = await sf1.sample(5, { seed: 2 })
+    sample.print()
+
+}
+load_data()
+
+```
diff --git a/api-reference copy/series/series.set_index.md b/api-reference copy/series/series.set_index.md
new file mode 100644
index 0000000..3de352f
--- /dev/null
+++ b/api-reference copy/series/series.set_index.md	
@@ -0,0 +1,136 @@
+---
+description: Assign new Index to Series
+---
+
+# Series.set\_index
+
+> danfo.series.**set\_index(**options**)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
+
+| Parameter | Type   | Description                                                                                    | Default                               |
+| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| index     | Array  | new index values                                                                               |                                       |
+| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Returns:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
+let sf = new dfd.Series(data)
+sf.print()
+
+let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
+sf_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═════════════════════════╗
+║ 0 │ {"alpha":"A","count":1} ║
+╟───┼─────────────────────────╢
+║ 1 │ {"alpha":"B","count":2} ║
+╟───┼─────────────────────────╢
+║ 2 │ {"alpha":"C","count":3} ║
+╚═══╧═════════════════════════╝
+
+╔═══════╤═════════════════════════╗
+║ one   │ {"alpha":"A","count":1} ║
+╟───────┼─────────────────────────╢
+║ two   │ {"alpha":"B","count":2} ║
+╟───────┼─────────────────────────╢
+║ three │ {"alpha":"C","count":3} ║
+╚═══════╧═════════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["Humans","Life","Meaning","Fact","Truth"]
+let sf = new dfd.Series(data)
+let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
+sf_new.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ H │ Humans               ║
+╟───┼──────────────────────╢
+║ L │ Life                 ║
+╟───┼──────────────────────╢
+║ M │ Meaning              ║
+╟───┼──────────────────────╢
+║ F │ Fact                 ║
+╟───┼──────────────────────╢
+║ T │ Truth                ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Set index in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs")
+
+let data = [1, 2, 3, 4, 5, 6]
+let sf = new dfd.Series(data)
+sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
+sf.print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══════╤═══╗
+║ one   │ 1 ║
+╟───────┼───╢
+║ two   │ 2 ║
+╟───────┼───╢
+║ three │ 3 ║
+╟───────┼───╢
+║ four  │ 4 ║
+╟───────┼───╢
+║ five  │ 5 ║
+╟───────┼───╢
+║ six   │ 6 ║
+╚═══════╧═══╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.shape.md b/api-reference copy/series/series.shape.md
new file mode 100644
index 0000000..9eb5031
--- /dev/null
+++ b/api-reference copy/series/series.shape.md	
@@ -0,0 +1,35 @@
+---
+description: Obtain the shape of a Series
+---
+
+# Series.shape
+
+> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
+
+**Parameters**: None
+
+**Returns**:  Array \[int, int\]
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.shape)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 4, 1 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.size.md b/api-reference copy/series/series.size.md
new file mode 100644
index 0000000..9665b65
--- /dev/null
+++ b/api-reference copy/series/series.size.md	
@@ -0,0 +1,37 @@
+---
+description: Obtain the size of a series
+---
+
+# Series.size
+
+> danfo.Series.size  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\]
+
+**Parameters**: None
+
+**Returns:** int
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.size)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+4
+```
+{% endtab %}
+{% endtabs %}
+
+
+
diff --git a/api-reference copy/series/series.sort_values.md b/api-reference copy/series/series.sort_values.md
new file mode 100644
index 0000000..5c7e5fa
--- /dev/null
+++ b/api-reference copy/series/series.sort_values.md	
@@ -0,0 +1,140 @@
+---
+description: Sorts a Series in ascending or descending order
+---
+
+# Series.sort_values
+
+> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
+
+| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
+| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
+
+  **Return:** Series
+
+### Sort values in a Series 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = sf1.sort_values()
+
+sf2.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
+
+### Sort Series in-place
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+sf1.sort_values({ inplace: true })
+
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 7 │ 0  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 6 │ 89 ║
+╚═══╧════╝
+
+```
+{% endtab %}
+{% endtabs %}
+
+Sort Series values in descending order
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+sf1.sort_values({ "ascending": false, "inplace": true })
+
+sf1.print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════╗
+║ 6 │ 89 ║
+╟───┼────╢
+║ 5 │ 57 ║
+╟───┼────╢
+║ 1 │ 30 ║
+╟───┼────╢
+║ 0 │ 20 ║
+╟───┼────╢
+║ 4 │ 4  ║
+╟───┼────╢
+║ 8 │ 4  ║
+╟───┼────╢
+║ 3 │ 2  ║
+╟───┼────╢
+║ 2 │ 1  ║
+╟───┼────╢
+║ 7 │ 0  ║
+╚═══╧════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.std.md b/api-reference copy/series/series.std.md
new file mode 100644
index 0000000..aa05018
--- /dev/null
+++ b/api-reference copy/series/series.std.md	
@@ -0,0 +1,37 @@
+---
+description: Obtain the standard deviation for a series
+---
+
+# Series.std
+
+> danfo.Series.std()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.std())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+31.11671576500322
+```
+{% endtab %}
+{% endtabs %}
+
+&#x20;****&#x20;
+
diff --git a/api-reference copy/series/series.str.capitalize.md b/api-reference copy/series/series.str.capitalize.md
new file mode 100644
index 0000000..aea9e91
--- /dev/null
+++ b/api-reference copy/series/series.str.capitalize.md	
@@ -0,0 +1,52 @@
+---
+description: Capitalize the first character of each string
+---
+
+# Series.str.capitalize
+
+> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (String element)
+
+**Example**
+
+Convert  the first character of a string to capital letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'capitals', 'sentence', 'swApCaSe']
+let sf = new dfd.Series(data)
+sf.str.capitalize().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ Lower boy            ║
+╟───┼──────────────────────╢
+║ 1 │ Capitals             ║
+╟───┼──────────────────────╢
+║ 2 │ Sentence             ║
+╟───┼──────────────────────╢
+║ 3 │ Swapcase             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.charat.md b/api-reference copy/series/series.str.charat.md
new file mode 100644
index 0000000..931bb48
--- /dev/null
+++ b/api-reference copy/series/series.str.charat.md	
@@ -0,0 +1,53 @@
+---
+description: Obtain the character at the specified index (position)
+---
+
+# Series.str.charAt
+
+> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| index      | int    | the index at which to obtain the character                      | 0                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (Character element)
+
+**Example**
+
+Obtain the character at index 2 of all string elements in the series.
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.charAt(2).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ w                    ║
+╟───┼──────────────────────╢
+║ 1 │ P                    ║
+╟───┼──────────────────────╢
+║ 2 │ n                    ║
+╟───┼──────────────────────╢
+║ 3 │ A                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.concat.md b/api-reference copy/series/series.str.concat.md
new file mode 100644
index 0000000..e3abe54
--- /dev/null
+++ b/api-reference copy/series/series.str.concat.md	
@@ -0,0 +1,165 @@
+---
+description: Joins two or more strings/arrays
+---
+
+# Series.str.concat
+
+> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
+
+| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
+| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
+| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
+| position   | Int             | The position to add the **other** (string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
+| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:** Series (String element)
+
+**Examples**
+
+Add the strings from an Array to the start of each of the String element in Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat(data2,0).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ XXlower boy          ║
+╟───┼──────────────────────╢
+║ 1 │ YYCAPITALS           ║
+╟───┼──────────────────────╢
+║ 2 │ BBsentence           ║
+╟───┼──────────────────────╢
+║ 3 │ 01SwApCaSe           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add the strings from an Array to the end of each of the String element in Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat(data2,1).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boyXX          ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALSYY           ║
+╟───┼──────────────────────╢
+║ 2 │ sentenceBB           ║
+╟───┼──────────────────────╢
+║ 3 │ SwApCaSe01           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add a string to the start of each string element in a Series
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat("pre",0).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ prelower boy         ║
+╟───┼──────────────────────╢
+║ 1 │ preCAPITALS          ║
+╟───┼──────────────────────╢
+║ 2 │ presentence          ║
+╟───┼──────────────────────╢
+║ 3 │ preSwApCaSe          ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Add a string to the end of each string element in a series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let data2 = ['XX', 'YY', 'BB', '01']
+let sf = new dfd.Series(data)
+sf.str.concat("post",1).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boypost        ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALSpost         ║
+╟───┼──────────────────────╢
+║ 2 │ sentencepost         ║
+╟───┼──────────────────────╢
+║ 3 │ SwApCaSepost         ║
+╚═══╧══════════════════════╝
+```
diff --git a/api-reference copy/series/series.str.endswith.md b/api-reference copy/series/series.str.endswith.md
new file mode 100644
index 0000000..2fb44cc
--- /dev/null
+++ b/api-reference copy/series/series.str.endswith.md	
@@ -0,0 +1,51 @@
+---
+description: Checks whether a string ends with specified characters
+---
+
+# Series.str.endsWith
+
+> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series (Boolean element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.endsWith("e").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ true                 ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.includes.md b/api-reference copy/series/series.str.includes.md
new file mode 100644
index 0000000..8918773
--- /dev/null
+++ b/api-reference copy/series/series.str.includes.md	
@@ -0,0 +1,51 @@
+---
+description: Checks whether a string contains the specified string/characters
+---
+
+# Series.str.includes
+
+> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series (boolean element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.includes("C").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ true                 ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.indexof.md b/api-reference copy/series/series.str.indexof.md
new file mode 100644
index 0000000..1d9e64f
--- /dev/null
+++ b/api-reference copy/series/series.str.indexof.md	
@@ -0,0 +1,51 @@
+---
+description: the position of the first found occurrence of a specified value in a string
+---
+
+# Series.str.indexOf
+
+> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to obtain its index                                  | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.indexOf("C").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.join.md b/api-reference copy/series/series.str.join.md
new file mode 100644
index 0000000..5bb77fe
--- /dev/null
+++ b/api-reference copy/series/series.str.join.md	
@@ -0,0 +1,52 @@
+---
+description: Join a new string value to all string elements in a Series.
+---
+
+# Series.str.join
+
+> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| valToJoin  | String | the string value you want to                                    |  ""                                                    |
+| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;  ****   return **Series**
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.join("new", "_").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤════════════════════════╗
+║ 0 │ lower part_new         ║
+╟───┼────────────────────────╢
+║ 1 │ CAPITALS city_new      ║
+╟───┼────────────────────────╢
+║ 2 │ this is a sentence_new ║
+╟───┼────────────────────────╢
+║ 3 │ SwAp CaSe_new          ║
+╚═══╧════════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.lastindexof.md b/api-reference copy/series/series.str.lastindexof.md
new file mode 100644
index 0000000..889a1f4
--- /dev/null
+++ b/api-reference copy/series/series.str.lastindexof.md	
@@ -0,0 +1,54 @@
+---
+description: >-
+  Obtain the position of the last found occurrence of a specified value in a
+  string
+---
+
+# Series.str.lastIndexOf
+
+danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**: Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.lastIndexOf("r").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 4                    ║
+╟───┼──────────────────────╢
+║ 1 │ -1                   ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.str.len.md b/api-reference copy/series/series.str.len.md
new file mode 100644
index 0000000..0ef06b2
--- /dev/null
+++ b/api-reference copy/series/series.str.len.md	
@@ -0,0 +1,52 @@
+---
+description: Obtain the length of each string element in a Series
+---
+
+# Series.str.len
+
+> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Examples**
+
+Returns the length (number of character) of a string, and also return the length (number of elements) of Array
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["dog", 5,"cat","fog","mug","animals"]
+let sf = new dfd.Series(data)
+sf.str.len().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 3 ║
+╟───┼───╢
+║ 3 │ 3 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 7 ║
+╚═══╧═══╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.repeat.md b/api-reference copy/series/series.str.repeat.md
new file mode 100644
index 0000000..703be26
--- /dev/null
+++ b/api-reference copy/series/series.str.repeat.md	
@@ -0,0 +1,51 @@
+---
+description: Repeat the the character(s) in a string for a specified number of time
+---
+
+# Series.str.repeat
+
+> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
+
+| Parameters | Type    | Description                                                     | Default                                                |
+| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
+| num        | integer | the string to search for                                        | 1                                                      |
+| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**  Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['a', 'b', 'c', 'd']
+let sf = new dfd.Series(data)
+sf.str.repeat(4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ aaaa                 ║
+╟───┼──────────────────────╢
+║ 1 │ bbbb                 ║
+╟───┼──────────────────────╢
+║ 2 │ cccc                 ║
+╟───┼──────────────────────╢
+║ 3 │ dddd                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.replace.md b/api-reference copy/series/series.str.replace.md
new file mode 100644
index 0000000..2b06b1f
--- /dev/null
+++ b/api-reference copy/series/series.str.replace.md	
@@ -0,0 +1,50 @@
+---
+description: Replace a word or character(s) in a String element
+---
+
+# Series.str.replace
+
+> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]   &#x20;
+
+| Parameters   | Type   | Description                                                     | Default                                                |
+| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
+| replaceValue | String | string to replace the searched string                           | ""                                                     |
+| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:** Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.replace("A", "XXX").print()
+```
+{% endtab %}
+
+{% tab title="Browse" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower                ║
+╟───┼──────────────────────╢
+║ 1 │ CXXXPITALS           ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentence   ║
+╟───┼──────────────────────╢
+║ 3 │ SwXXXpCaSe           ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.search.md b/api-reference copy/series/series.str.search.md
new file mode 100644
index 0000000..99fc428
--- /dev/null
+++ b/api-reference copy/series/series.str.search.md	
@@ -0,0 +1,94 @@
+---
+description: Obtain the index position of a searched  character in a String
+---
+
+# Series.str.search
+
+> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
+
+
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | String | the string to search for                                        | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;    ****     return Series: Series of index position
+
+**Example**
+
+obtain the index position for a character
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.search("S").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 8                    ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+Obtain the index position for a searched word
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower city ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.search("city").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 6                    ║
+╟───┼──────────────────────╢
+║ 1 │ 10                   ║
+╟───┼──────────────────────╢
+║ 2 │ -1                   ║
+╟───┼──────────────────────╢
+║ 3 │ -1                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.slice.md b/api-reference copy/series/series.str.slice.md
new file mode 100644
index 0000000..cef7a86
--- /dev/null
+++ b/api-reference copy/series/series.str.slice.md	
@@ -0,0 +1,54 @@
+---
+description: Obtain the substring of each element in a series
+---
+
+# Series.str.slice
+
+> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20; ****  return Series.
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.slice(2, 4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ we                   ║
+╟───┼──────────────────────╢
+║ 1 │ AP                   ║
+╟───┼──────────────────────╢
+║ 2 │ hi                   ║
+╟───┼──────────────────────╢
+║ 3 │ Sw                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.split.md b/api-reference copy/series/series.str.split.md
new file mode 100644
index 0000000..006795d
--- /dev/null
+++ b/api-reference copy/series/series.str.split.md	
@@ -0,0 +1,74 @@
+---
+description: >-
+  Split string around a given separator/delimiter. The array of strings are then
+  converted to a string.
+---
+
+# Series.str.split
+
+> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
+
+| Parameters | Type   | Description                                                | Default                         |
+| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
+| splitVal   | String | separator or delimiter used to split the string            | " "                             |
+| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
+
+**Returns**
+
+&#x20;                     return **Series**
+
+**Examples**
+
+Split the string value in the Series by space and obtain the Series values
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["king of the music","the lamba queen","I love the hat"]
+let sf = new dfd.Series(data)
+console.log(sf.str.split().values)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
+
+{% tabs %}
+{% tab title="JavaScript" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ["king_of_the_music","the_lamba_queen","I_love_the_hat"]
+let sf = new dfd.Series(data)
+sf.str.split("_").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ king,of,the,music    ║
+╟───┼──────────────────────╢
+║ 1 │ the,lamba,queen      ║
+╟───┼──────────────────────╢
+║ 2 │ I,love,the,hat       ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.startswith.md b/api-reference copy/series/series.str.startswith.md
new file mode 100644
index 0000000..835809e
--- /dev/null
+++ b/api-reference copy/series/series.str.startswith.md	
@@ -0,0 +1,51 @@
+---
+description: Test whether a string begins with specified characters
+---
+
+# Series.str.startsWith
+
+> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| str        | string | the character(s) to check                                       | ""                                                     |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**  Series (Boolean element)
+
+**Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.startsWith("S").print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ false                ║
+╟───┼──────────────────────╢
+║ 1 │ false                ║
+╟───┼──────────────────────╢
+║ 2 │ false                ║
+╟───┼──────────────────────╢
+║ 3 │ true                 ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.substr.md b/api-reference copy/series/series.str.substr.md
new file mode 100644
index 0000000..0a391bb
--- /dev/null
+++ b/api-reference copy/series/series.str.substr.md	
@@ -0,0 +1,50 @@
+---
+description: >-
+  Obtain the substring from a String element in a Series, by specifying the
+  number of string to obtain starting from a specific index.
+---
+
+# Series.str.substr
+
+> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;     ****      return Series
+
+**Example**
+
+Obtain substring( containing 4 characters) starting from the third character (2nd index).
+
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.substr(2, 4).print()
+```
+
+{% tabs %}
+{% tab title="Output" %}
+```javascript
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ wer                  ║
+╟───┼──────────────────────╢
+║ 1 │ APIT                 ║
+╟───┼──────────────────────╢
+║ 2 │ his                  ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp                 ║
+╚═══╧══════════════════════╝
+
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.substring.md b/api-reference copy/series/series.str.substring.md
new file mode 100644
index 0000000..b54702e
--- /dev/null
+++ b/api-reference copy/series/series.str.substring.md	
@@ -0,0 +1,56 @@
+---
+description: Obtain the substring of each element in a series
+---
+
+# Series.str.substring
+
+> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
+| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**
+
+&#x20;    ****     return **Series**
+
+**Example**
+
+Obtain the substring from index 2 to index 4 of the string elements in a Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.substring(2, 4).print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ we                   ║
+╟───┼──────────────────────╢
+║ 1 │ AP                   ║
+╟───┼──────────────────────╢
+║ 2 │ hi                   ║
+╟───┼──────────────────────╢
+║ 3 │ Sw                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.tolowercase.md b/api-reference copy/series/series.str.tolowercase.md
new file mode 100644
index 0000000..9abe0f5
--- /dev/null
+++ b/api-reference copy/series/series.str.tolowercase.md	
@@ -0,0 +1,50 @@
+---
+description: Converts all characters to lower case.
+---
+
+# Series.str.toLowerCase
+
+> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Example**
+
+Convert all characters in each string element to small letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['LOWER BOY', 'CAPITALS', 'SENTENCE', 'SWAPCASE']
+let sf = new dfd.Series(data)
+sf.str.toLowerCase().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower boy            ║
+╟───┼──────────────────────╢
+║ 1 │ capitals             ║
+╟───┼──────────────────────╢
+║ 2 │ sentence             ║
+╟───┼──────────────────────╢
+║ 3 │ swapcase             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.touppercase.md b/api-reference copy/series/series.str.touppercase.md
new file mode 100644
index 0000000..f484390
--- /dev/null
+++ b/api-reference copy/series/series.str.touppercase.md	
@@ -0,0 +1,52 @@
+---
+description: Converts all characters to uppercase.
+---
+
+# Series.str.toUpperCase
+
+> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns**:  Series (String element)
+
+**Example**
+
+Convert all characters in each string element to capital letter
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
+let sf = new dfd.Series(data)
+sf.str.toUpperCase().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ LOWER BOY            ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS             ║
+╟───┼──────────────────────╢
+║ 2 │ SENTENCE             ║
+╟───┼──────────────────────╢
+║ 3 │ SWAPCASE             ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.str.trim.md b/api-reference copy/series/series.str.trim.md
new file mode 100644
index 0000000..58b7b16
--- /dev/null
+++ b/api-reference copy/series/series.str.trim.md	
@@ -0,0 +1,50 @@
+---
+description: Remove leading and trailing Whitespace from a String element
+---
+
+# Series.str.trim
+
+> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
+
+| Parameters | Type   | Description                                                     | Default                                                |
+| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+
+**Returns:**
+
+&#x20;        ****         return Series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
+let sf = new dfd.Series(data)
+sf.str.trim().print()
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ lower part           ║
+╟───┼──────────────────────╢
+║ 1 │ CAPITALS city        ║
+╟───┼──────────────────────╢
+║ 2 │ this is a sentence   ║
+╟───┼──────────────────────╢
+║ 3 │ SwAp CaSe            ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.sub.md b/api-reference copy/series/series.sub.md
new file mode 100644
index 0000000..e281d06
--- /dev/null
+++ b/api-reference copy/series/series.sub.md	
@@ -0,0 +1,86 @@
+---
+description: Return Subtraction of series and other, element-wise (binary operator sub).
+---
+
+# Series.sub
+
+> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
+
+| Parameters | Type          | Description                                                                                    | Default                               |
+| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
+| other      | Series\|int\| | values                                                                                         |                                       |
+| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+
+**Return:** Series
+
+**Example**
+
+subtract from values of another series
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30, 40, 3, 5]
+let data2 = [1, 2, 3, 4]
+let sf1 = new dfd.Series(data1)
+let sf2 = new dfd.Series(data2)
+sf1.sub(sf2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 29                   ║
+╟───┼──────────────────────╢
+║ 1 │ 38                   ║
+╟───┼──────────────────────╢
+║ 2 │ 0                    ║
+╟───┼──────────────────────╢
+║ 3 │ 1                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+subtract from a value
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5]
+let sf1 = new dfd.Series(data1)
+
+sf1.sub(2).print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ -1                   ║
+╟───┼──────────────────────╢
+║ 1 │ 0                    ║
+╟───┼──────────────────────╢
+║ 2 │ 1                    ║
+╟───┼──────────────────────╢
+║ 3 │ 2                    ║
+╟───┼──────────────────────╢
+║ 4 │ 3                    ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.sum.md b/api-reference copy/series/series.sum.md
new file mode 100644
index 0000000..fabcba7
--- /dev/null
+++ b/api-reference copy/series/series.sum.md	
@@ -0,0 +1,36 @@
+---
+description: Return the sum of the values in a series.
+---
+
+# Series.sum
+
+> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.sum())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+207
+```
+{% endtab %}
+{% endtabs %}
+
+****
diff --git a/api-reference copy/series/series.tail.md b/api-reference copy/series/series.tail.md
new file mode 100644
index 0000000..7f986a1
--- /dev/null
+++ b/api-reference copy/series/series.tail.md	
@@ -0,0 +1,49 @@
+---
+description: Prints the last n values in a Series
+---
+
+# Series.tail
+
+> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+
+| Parameters | Type | Description | Default |
+| :--- | :--- | :--- | :--- |
+| rows | Int | number of last n values | 5 |
+
+ **Return:** Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
+let sf1 = new dfd.Series(data1)
+
+sf1.tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔════╤══════════════════════╗
+║    │ 0                    ║
+╟────┼──────────────────────╢
+║ 6  │ 30                   ║
+╟────┼──────────────────────╢
+║ 7  │ 40                   ║
+╟────┼──────────────────────╢
+║ 8  │ 39                   ║
+╟────┼──────────────────────╢
+║ 9  │ 89                   ║
+╟────┼──────────────────────╢
+║ 10 │ 78                   ║
+╚════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.tensor.md b/api-reference copy/series/series.tensor.md
new file mode 100644
index 0000000..a5c112c
--- /dev/null
+++ b/api-reference copy/series/series.tensor.md	
@@ -0,0 +1,46 @@
+---
+description: Obtain the tensor representation of the values in a Series
+---
+
+# Series.tensor
+
+> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
+
+**Parameters**: None
+
+**Returns**: Tensorflow tensor
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.tensor)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 4 ],
+  dtype: 'float32',
+  size: 4,
+  strides: [],
+  dataId: {},
+  id: 2,
+  rankType: '1',
+  scopeId: 0
+}
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.unique.md b/api-reference copy/series/series.unique.md
new file mode 100644
index 0000000..c89d187
--- /dev/null
+++ b/api-reference copy/series/series.unique.md	
@@ -0,0 +1,55 @@
+---
+description: Obtain the unique value in a Series
+---
+
+# Series.unique
+
+> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
+
+**Parameters**: None
+
+**Returns**: Series
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+sf.unique().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+╔═══╤══════════════════════╗
+║   │ 0                    ║
+╟───┼──────────────────────╢
+║ 0 │ 1                    ║
+╟───┼──────────────────────╢
+║ 1 │ 2                    ║
+╟───┼──────────────────────╢
+║ 2 │ 3                    ║
+╟───┼──────────────────────╢
+║ 3 │ 4                    ║
+╟───┼──────────────────────╢
+║ 4 │ 5                    ║
+╟───┼──────────────────────╢
+║ 5 │ 6                    ║
+╟───┼──────────────────────╢
+║ 6 │ 7                    ║
+╟───┼──────────────────────╢
+║ 7 │ 8                    ║
+╟───┼──────────────────────╢
+║ 8 │ 22                   ║
+╚═══╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.value_counts.md b/api-reference copy/series/series.value_counts.md
new file mode 100644
index 0000000..338064f
--- /dev/null
+++ b/api-reference copy/series/series.value_counts.md	
@@ -0,0 +1,54 @@
+---
+description: Count the number of occurrence for each element in a Series
+---
+
+# Series.value\_counts
+
+> danfo.Series.value\_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+
+**Parameters:** None
+
+**Returns:** Series (int element)
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
+let sf = new dfd.Series(data1)
+
+sf.value_counts().print()
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+╔════╤══════════════════════╗
+║    │ 0                    ║
+╟────┼──────────────────────╢
+║ 1  │ 3                    ║
+╟────┼──────────────────────╢
+║ 2  │ 1                    ║
+╟────┼──────────────────────╢
+║ 3  │ 1                    ║
+╟────┼──────────────────────╢
+║ 4  │ 1                    ║
+╟────┼──────────────────────╢
+║ 5  │ 4                    ║
+╟────┼──────────────────────╢
+║ 6  │ 1                    ║
+╟────┼──────────────────────╢
+║ 7  │ 1                    ║
+╟────┼──────────────────────╢
+║ 8  │ 2                    ║
+╟────┼──────────────────────╢
+║ 22 │ 1                    ║
+╚════╧══════════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference copy/series/series.values.md b/api-reference copy/series/series.values.md
new file mode 100644
index 0000000..4857487
--- /dev/null
+++ b/api-reference copy/series/series.values.md	
@@ -0,0 +1,35 @@
+---
+description: Obtain the values in a series
+---
+
+# Series.values
+
+> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
+
+**Parameters:** None
+
+**Returns**:  Array
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [30.21091, 40.190901, 3.564, 5.0212]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.values)
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+[ 30.21091, 40.190901, 3.564, 5.0212 ]
+```
+{% endtab %}
+{% endtabs %}
+
diff --git a/api-reference copy/series/series.var.md b/api-reference copy/series/series.var.md
new file mode 100644
index 0000000..4fdcbc2
--- /dev/null
+++ b/api-reference copy/series/series.var.md	
@@ -0,0 +1,35 @@
+---
+description: Calculate the variance  of a Series
+---
+
+# Series.var
+
+> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
+
+**Parameter:** None
+
+**Return:** Number
+
+**Example**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
+let sf1 = new dfd.Series(data1)
+
+console.log(sf1.var())
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```text
+968.25
+```
+{% endtab %}
+{% endtabs %}
+

From f31f4f02fdf8ffcb52689ded68dc1fe87a1618d6 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 2 Jan 2022 22:07:44 +0100
Subject: [PATCH 158/202] Update ts doc folder

---
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From 27dccd21ba025bd4abe868f04dc604ce388b70ea Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Jan 2022 16:18:11 +0100
Subject: [PATCH 159/202] clean up repo

---
 api-reference copy/README.md                  |  54 ---
 api-reference copy/configuration-options.md   | 128 -----
 api-reference copy/dataframe/README.md        | 145 ------
 .../dataframe/creating-a-dataframe.md         | 355 --------------
 .../dataframe/danfo.dataframe.abs.md          |  74 ---
 .../dataframe/danfo.dataframe.add.md          | 246 ----------
 .../dataframe/danfo.dataframe.addcolumn.md    | 118 -----
 .../dataframe/danfo.dataframe.apply.md        | 106 ----
 .../dataframe/danfo.dataframe.column.md       |  72 ---
 .../dataframe/danfo.dataframe.copy.md         |  53 --
 .../dataframe/danfo.dataframe.count.md        | 100 ----
 .../dataframe/danfo.dataframe.cummax.md       |  99 ----
 .../dataframe/danfo.dataframe.cummin.md       |  99 ----
 .../dataframe/danfo.dataframe.cumprod.md      |  99 ----
 .../dataframe/danfo.dataframe.cumsum.md       |  99 ----
 .../dataframe/danfo.dataframe.describe.md     |  61 ---
 .../dataframe/danfo.dataframe.div.md          | 254 ----------
 .../dataframe/danfo.dataframe.dropna.md       |  96 ----
 .../dataframe/danfo.dataframe.eq.md           | 190 --------
 .../dataframe/danfo.dataframe.fillna.md       | 178 -------
 .../dataframe/danfo.dataframe.ge.md           | 195 --------
 .../dataframe/danfo.dataframe.groupby.md      | 148 ------
 .../dataframe/danfo.dataframe.gt.md           | 191 --------
 .../dataframe/danfo.dataframe.head.md         |  53 --
 .../dataframe/danfo.dataframe.iloc.md         | 331 -------------
 .../dataframe/danfo.dataframe.isna.md         |  54 ---
 .../dataframe/danfo.dataframe.it.md           | 194 --------
 .../dataframe/danfo.dataframe.le.md           | 194 --------
 .../dataframe/danfo.dataframe.loc.md          | 367 --------------
 .../dataframe/danfo.dataframe.max.md          | 118 -----
 .../dataframe/danfo.dataframe.mean.md         | 120 -----
 .../dataframe/danfo.dataframe.median.md       | 120 -----
 .../dataframe/danfo.dataframe.min.md          | 120 -----
 .../dataframe/danfo.dataframe.mod.md          | 258 ----------
 .../dataframe/danfo.dataframe.mul.md          | 252 ----------
 .../dataframe/danfo.dataframe.ne.md           | 187 --------
 .../dataframe/danfo.dataframe.pow.md          | 260 ----------
 .../dataframe/danfo.dataframe.query.md        | 278 -----------
 .../dataframe/danfo.dataframe.replace.md      | 102 ----
 .../dataframe/danfo.dataframe.round.md        | 128 -----
 .../dataframe/danfo.dataframe.sample.md       | 112 -----
 .../dataframe/danfo.dataframe.std.md          |  94 ----
 .../dataframe/danfo.dataframe.sub.md          | 250 ----------
 .../dataframe/danfo.dataframe.sum.md          | 121 -----
 .../dataframe/danfo.dataframe.tail.md         |  53 --
 .../dataframe/danfo.dataframe.var.md          |  94 ----
 .../dataframe/dataframe.append.md             |  76 ---
 .../dataframe/dataframe.apply_map.md          |  68 ---
 .../dataframe/dataframe.astype.md             | 222 ---------
 .../dataframe/dataframe.axes.md               |  47 --
 .../dataframe/dataframe.drop.md               | 143 ------
 .../dataframe/dataframe.dtypes.md             | 100 ----
 .../dataframe/dataframe.index.md              |  69 ---
 .../dataframe/dataframe.ndim.md               |  46 --
 .../dataframe/dataframe.nunique-1.md          |  98 ----
 .../dataframe/dataframe.print.md              | 105 ----
 .../dataframe/dataframe.rename.md             | 148 ------
 .../dataframe/dataframe.reset_index.md        |  73 ---
 .../dataframe/dataframe.select_dtypes.md      |  94 ----
 .../dataframe/dataframe.set_index.md          | 176 -------
 .../dataframe/dataframe.shape.md              |  43 --
 .../dataframe/dataframe.sort_index.md         |  74 ---
 .../dataframe/dataframe.sort_values.md        |  99 ----
 .../dataframe/dataframe.tensor.md             | 110 -----
 .../dataframe/dataframe.to_csv.md             | 114 -----
 .../dataframe/dataframe.to_excel.md           |  53 --
 .../dataframe/dataframe.to_json.md            | 127 -----
 .../dataframe/dataframe.values.md             |  50 --
 .../general-functions/README.md               |  27 --
 .../general-functions/danfo.concat.md         | 187 --------
 .../general-functions/danfo.date_range.md     | 111 -----
 .../general-functions/danfo.get_dummies.md    | 188 --------
 .../general-functions/danfo.labelencoder.md   | 140 ------
 .../general-functions/danfo.merge.md          | 453 ------------------
 .../general-functions/danfo.minmaxscaler.md   | 125 -----
 .../general-functions/danfo.onehotencoder.md  | 148 ------
 .../general-functions/danfo.standardscaler.md | 132 -----
 .../general-functions/danfo.to_datetime.md    | 141 ------
 api-reference copy/groupby.md                 | 122 -----
 api-reference copy/groupby/README.md          |  34 --
 api-reference copy/groupby/groupby.agg.md     |  93 ----
 api-reference copy/groupby/groupby.apply.md   |  84 ----
 api-reference copy/groupby/groupby.col.md     | 105 ----
 api-reference copy/groupby/groupby.count.md   | 175 -------
 api-reference copy/groupby/groupby.cummax.md  | 258 ----------
 api-reference copy/groupby/groupby.cummin.md  | 258 ----------
 api-reference copy/groupby/groupby.cumprod.md | 258 ----------
 api-reference copy/groupby/groupby.cumsum.md  | 259 ----------
 .../groupby/groupby.get_groups.md             | 129 -----
 api-reference copy/groupby/groupby.max.md     | 170 -------
 api-reference copy/groupby/groupby.mean.md    | 173 -------
 api-reference copy/groupby/groupby.min.md     | 171 -------
 api-reference copy/groupby/groupby.std.md     | 175 -------
 api-reference copy/groupby/groupby.sum.md     | 172 -------
 api-reference copy/groupby/groupby.var.md     | 175 -------
 api-reference copy/input-output/README.md     |  18 -
 .../input-output/danfo.read_csv.md            | 134 ------
 .../input-output/danfo.read_excel.md          |  68 ---
 .../input-output/danfo.read_json.md           | 127 -----
 .../input-output/danfo.to_csv.md              | 115 -----
 .../input-output/danfo.to_excel.md            |  54 ---
 .../input-output/danfo.to_json.md             | 124 -----
 api-reference copy/input-output/read.md       | 138 ------
 api-reference copy/plotting/README.md         |  19 -
 api-reference copy/plotting/bar-charts.md     |  75 ---
 api-reference copy/plotting/box-plots.md      | 116 -----
 .../plotting/configuring-your-plots.md        |  68 ---
 api-reference copy/plotting/histograms.md     | 117 -----
 api-reference copy/plotting/line-charts.md    | 109 -----
 api-reference copy/plotting/pie-charts.md     | 123 -----
 api-reference copy/plotting/scatter-plots.md  |  88 ----
 api-reference copy/plotting/tables.md         |  95 ----
 .../plotting/timeseries-plots.md              |  58 ---
 api-reference copy/plotting/violin-plots.md   | 112 -----
 api-reference copy/series/README.md           | 182 -------
 .../series/creating-a-series.md               | 210 --------
 api-reference copy/series/danfo.series.add.md |  22 -
 .../series/danfo.series.apply.md              |  63 ---
 .../series/danfo.series.copy.md               |  22 -
 .../series/danfo.series.count.md              |  24 -
 .../series/danfo.series.describe.md           |  26 -
 api-reference copy/series/danfo.series.div.md |  26 -
 .../series/danfo.series.head.md               |  25 -
 api-reference copy/series/danfo.series.map.md |  42 --
 api-reference copy/series/danfo.series.max.md |   2 -
 .../series/danfo.series.maximum.md            |  22 -
 .../series/danfo.series.mean.md               |   2 -
 .../series/danfo.series.median.md             |   2 -
 api-reference copy/series/danfo.series.min.md |   2 -
 .../series/danfo.series.minimum.md            |  22 -
 api-reference copy/series/danfo.series.mod.md |  24 -
 .../series/danfo.series.mode.md               |   2 -
 api-reference copy/series/danfo.series.mul.md |  26 -
 api-reference copy/series/danfo.series.pow.md |  26 -
 .../series/danfo.series.reset_index.md        |  31 --
 .../series/danfo.series.round.md              |  20 -
 .../series/danfo.series.sample.md             |  22 -
 .../series/danfo.series.set_index.md          |  40 --
 .../series/danfo.series.sort_values.md        |  27 --
 api-reference copy/series/danfo.series.std.md |  20 -
 api-reference copy/series/danfo.series.sub.md |  24 -
 .../series/danfo.series.sum-1.md              |  22 -
 .../series/danfo.series.tail.md               |  22 -
 .../series/danfo.series.tostring.md           |  18 -
 api-reference copy/series/danfo.series.var.md |  20 -
 api-reference copy/series/series.abs.md       |  52 --
 api-reference copy/series/series.add.md       |  86 ----
 api-reference copy/series/series.and.md       | 132 -----
 api-reference copy/series/series.append.md    | 135 ------
 api-reference copy/series/series.apply.md     | 149 ------
 api-reference copy/series/series.argmax.md    |  35 --
 api-reference copy/series/series.argmin.md    |  35 --
 api-reference copy/series/series.argsort.md   |  75 ---
 api-reference copy/series/series.astype.md    |   2 -
 api-reference copy/series/series.copy.md      |  45 --
 api-reference copy/series/series.corr.md      |   2 -
 api-reference copy/series/series.count.md     |  36 --
 api-reference copy/series/series.cummax.md    |  51 --
 api-reference copy/series/series.cummin.md    |  51 --
 api-reference copy/series/series.cumprod.md   |  51 --
 api-reference copy/series/series.cumsum.md    |  74 ---
 api-reference copy/series/series.describe.md  |  57 ---
 api-reference copy/series/series.div.md       |  87 ----
 api-reference copy/series/series.dot.md       |   2 -
 .../series/series.drop_duplicates.md          | 121 -----
 api-reference copy/series/series.dropna.md    |  91 ----
 api-reference copy/series/series.dt.day.md    |  55 ---
 api-reference copy/series/series.dt.hour.md   |  52 --
 api-reference copy/series/series.dt.minute.md |  60 ---
 api-reference copy/series/series.dt.month.md  |  47 --
 .../series/series.dt.month_name.md            |  55 ---
 .../series/series.dt.monthday.md              |  55 ---
 api-reference copy/series/series.dt.second.md |  60 ---
 .../series/series.dt.weekdays.md              |  79 ---
 api-reference copy/series/series.dt.year.md   |  45 --
 api-reference copy/series/series.dtype.md     |  34 --
 api-reference copy/series/series.eq.md        |  95 ----
 api-reference copy/series/series.fillna.md    | 106 ----
 api-reference copy/series/series.ge.md        |  95 ----
 api-reference copy/series/series.gt.md        |  95 ----
 api-reference copy/series/series.head.md      |  51 --
 api-reference copy/series/series.iloc.md      | 158 ------
 api-reference copy/series/series.index.md     |  33 --
 api-reference copy/series/series.isna.md      |  45 --
 api-reference copy/series/series.le.md        |  96 ----
 api-reference copy/series/series.loc.md       | 198 --------
 api-reference copy/series/series.lt.md        |  96 ----
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diff --git a/api-reference copy/README.md b/api-reference copy/README.md
deleted file mode 100644
index b5d5d28..0000000
--- a/api-reference copy/README.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  This page gives an overview of all public danfo objects, functions and
-  methods. All classes and functions exposed in danfo.* namespace are public.
----
-
-# API reference
-
-* [General Functions](general-functions/)
-  * [Data manipulations](general-functions/#data-manipulations)
-  * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
-* [Input/output](input-output/)
-  * [CSV](input-output/#csv)
-  * [JSON](input-output/#json)
-* [Series](series/)
-  * [Attributes](series/#attributes)
-  * [Conversion](series/#conversion)
-  * [Indexing, iteration](series/#indexing-iteration)
-  * [Binary operator functions](series/#binary-operator-functions)
-  * [Function application, GroupBy & window](series/#function-application-and-groupby)
-  * [Computations / descriptive stats](series/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](series/#reindexing-selection-label-manipulation)
-  * [Missing data handling](series/#missing-data-handling)
-  * [Reshaping, sorting](series/#reshaping-sorting)
-  * [Accessors](series/#accessors)
-  * [Serialization / IO / conversion](series/#serialization-io-conversion)
-* [DataFrame](dataframe/)
-  * [Attributes ](dataframe/#attributes)
-  * [Conversion](dataframe/#conversion)
-  * [Indexing, iteration](dataframe/#indexing-iteration)
-  * [Binary operator functions](dataframe/#binary-operator-functions)
-  * [Function application, GroupBy & window](dataframe/#function-application-and-groupby)
-  * [Computations / descriptive stats](dataframe/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](dataframe/#reindexing-selection-label-manipulation)
-  * [Missing data handling](dataframe/#missing-data-handling)
-  * [Reshaping, sorting, transposing](dataframe/#sorting-and-transposing)
-  * [Combining / comparing / joining / merging](dataframe/#combining-comparing-joining-merging)
-  * [Serialization / IO / conversion](dataframe/#serialization-io-conversion)
-* [Plotting](plotting/)
-  * [Line Charts](plotting/line-charts.md)
-  * [Bar Charts](plotting/bar-charts.md)
-  * [Scatter Plots](plotting/scatter-plots.md)
-  * [Histograms](plotting/histograms.md)
-  * [Pie Charts](plotting/pie-charts.md)
-  * [Tables](plotting/tables.md)
-  * [Box Plots](plotting/box-plots.md)
-  * [Violin Plots](plotting/violin-plots.md)
-  * [Timeseries Plots](plotting/timeseries-plots.md)
-* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
-  * [Indexing, iteration](groupby/#indexing-iteration)
-  * [Function application](groupby/#function-application)
-  * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
-
diff --git a/api-reference copy/configuration-options.md b/api-reference copy/configuration-options.md
deleted file mode 100644
index f4c2136..0000000
--- a/api-reference copy/configuration-options.md	
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: >-
-  This section describes all user configurable options available on
-  DataFrame/Series creation.
----
-
-# Configuration Options
-
-On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
-
-| Parameter          | Description                                                                                                                                                                                                           |
-| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
-| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
-| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
-
-> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
-
-## Examples of setting configs
-
-### Add a DataFrame header
-
-```javascript
- const data = {
-                "Name": ["Apples", "Mango", "Banana", "Pear"],
-                "Count": [21, 5, 30, 10],
-                "Price": [200, 300, 40, 250]
-            };
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔════════════════════════════════════════════════════════════════════════╗
-║                               THE HEADER                               ║
-║                   This is the table about something                    ║
-╟────────────┬───────────────────┬───────────────────┬───────────────────╢
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Configure column size and display format of DataFrame
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-};
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-            columns: [
-                { alignment: 'left' },
-                { alignment: 'center', width: 20 },
-                { alignment: 'right' },
-                { alignment: 'justify' }
-            ],
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔══════════════════════════════════════════╗
-║                THE HEADER                ║
-║    This is the table about something     ║
-╟───┬──────────────────────┬───────┬───────╢
-║   │         Name         │ Count │ Price ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 0 │        Apples        │    21 │ 200   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 1 │        Mango         │     5 │ 300   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 2 │        Banana        │    30 │ 40    ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 3 │         Pear         │    10 │ 250   ║
-╚═══╧══════════════════════╧═══════╧═══════╝
-```
-
-### Configure the number of rows displayed when **print** is called
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250],
-
-};
-const df = new DataFrame(data, {
-    config: {
-        tableMaxColInConsole: 6,
-        tableMaxRow: 1
-    }
-});
-df.print()
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference copy/dataframe/README.md b/api-reference copy/dataframe/README.md
deleted file mode 100644
index d48a28d..0000000
--- a/api-reference copy/dataframe/README.md	
+++ /dev/null
@@ -1,145 +0,0 @@
----
-description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
----
-
-# Dataframe
-
-> `DataFrame`(data, {\
-> &#x20;                               **columns:** \[ Array ],\
-> &#x20;                                **dtypes:** \[ Array ], **** \
-> &#x20;                                **index:** \[Array], \
-> &#x20;                                **options**: Object})
-
-### Attributes
-
-| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
-| ------------------------------------------------ | ---------------------------------------- |
-| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
-
-| [`DataFrame.ctypes`](dataframe.dtypes.md)                | Return the data types in the DataFrame.                                |
-| -------------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.select_dtypes`](dataframe.select\_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md)                | Return a Numpy representation of the DataFrame.                        |
-| [`DataFrame.axes`](dataframe.axes.md)                    | Return a Object representing the axes of the DataFrame.                |
-| [`DataFrame.ndim`](dataframe.ndim.md)                    | Return an int representing the number of axes / array dimensions.      |
-| [`DataFrame.size`](broken-reference)                     | Return an int representing the number of elements in this object.      |
-| [`DataFrame.shape`](dataframe.shape.md)                  | Return a tuple representing the dimensionality of the DataFrame.       |
-
-### Conversion
-
-| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
-| ------------------------------------------- | -------------------------------------------------- |
-| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
-
-### Indexing, iteration
-
-| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
-| --------------------------------------------- | ------------------------------------------------------------------ |
-| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
-| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
-| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
-
-### Binary operator functions
-
-| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
-| ----------------------------------------- | --------------------------------------------------------------------------------------- |
-| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
-| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
-| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
-| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
-| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
-| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
-| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
-| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
-| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
-| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
-| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
-
-### Function application & GroupBy
-
-| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
-| --------------------------------------------- | --------------------------------------------------------- |
-| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
-| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
-
-### Computations / descriptive stats
-
-| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
-| --------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
-| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
-| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
-| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
-| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
-| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
-| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
-| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
-| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
-| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
-| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
-| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
-| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
-| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
-| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
-| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
-| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
-
-### Reindexing / selection / label manipulation
-
-|                                                      |                                                         |
-| ---------------------------------------------------- | ------------------------------------------------------- |
-| [`DataFrame.drop`](dataframe.drop.md)                | Drop specified labels from rows or columns.             |
-| [`DataFrame.head`](danfo.dataframe.head.md)          | Return the first n rows.                                |
-| [`DataFrame.rename`](dataframe.rename.md)            | Alter axes labels.                                      |
-| [`DataFrame.reset_index`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
-| [`DataFrame.sample`](danfo.dataframe.sample.md)      | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)          | Return the last n rows.                                 |
-
-### Missing data handling
-
-|                                                   |                                             |
-| ------------------------------------------------- | ------------------------------------------- |
-| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
-| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
-| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
-| [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
-
-### Sorting & transposing
-
-|                                                                                                                        |                                       |
-| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| [`DataFrame.sort_values`](dataframe.sort\_values.md)                                                                   | Sort by the values along either axis. |
-| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
-
-### Combining / comparing / joining / merging
-
-|                                                            |                                                                     |
-| ---------------------------------------------------------- | ------------------------------------------------------------------- |
-| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
-| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
-| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                          |                                                               |
-| -------------------------------------------------------- | ------------------------------------------------------------- |
-| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
-| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                              |                                                      |
-| -------------------------------------------- | ---------------------------------------------------- |
-| [`DataFrame.to_csv`](dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`DataFrame.to_json`](dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference copy/dataframe/creating-a-dataframe.md b/api-reference copy/dataframe/creating-a-dataframe.md
deleted file mode 100644
index 0228131..0000000
--- a/api-reference copy/dataframe/creating-a-dataframe.md	
+++ /dev/null
@@ -1,355 +0,0 @@
----
-description: Creates a DataFrame object from flat structure
----
-
-# Creating a DataFrame
-
-new danfo.**DataFrame**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>columns:</b> Array of column names. If not specified, column names are
-          auto generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
-
-### Creating a `DataFrame` from a JSON object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-df = new dfd.DataFrame(json_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Creating a `DataFrame` from an array of array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
-let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` from a 2D tensor
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
-
-
-let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
-let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-
-### Creating a `DataFrame` from an object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-console.log(dates);
-
-obj_data = {'A': dates,
-            'B': ["bval1", "bval2", "bval3", "bval4"],
-            'C': [10, 20, 30, 40],
-            'D': [1.2, 3.45, 60.1, 45],
-            'E': ["test", "train", "test", "train"]
-            }
-
-df = new dfd.DataFrame(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-        console.log(dates);
-
-        obj_data = {'A': dates,
-                    'B': ["bval1", "bval2", "bval3", "bval4"],
-                    'C': [10, 20, 30, 40],
-                    'D': [1.2, 3.45, 60.1, 45],
-                    'E': ["test", "train", "test", "train"]
-                    }
-
-        df = new dfd.DataFrame(obj_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//output in console
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying index, dtypes, columns
-
-You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
-
-> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-let index = ["a", "b"];
-let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
-let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
-
-let df = new DataFrame(data1, { index, columns, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying memory mode
-
-To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-
-let df = new DataFrame(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
-{% endhint %}
-
-For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.abs.md b/api-reference copy/dataframe/danfo.dataframe.abs.md
deleted file mode 100644
index 8504222..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.abs.md	
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a DataFrame with the absolute numeric value of each element.
----
-
-# DataFrame.abs
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-             
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_abs = df.abs()
-df_abs.abs().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after applying abs function
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.1              │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.add.md b/api-reference copy/dataframe/danfo.dataframe.add.md
deleted file mode 100644
index 925a3cd..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.add.md	
+++ /dev/null
@@ -1,246 +0,0 @@
----
-description: Get Addition of DataFrame and other, element-wise (binary operator add).
----
-
-# DataFrame.add
-
-danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Addition of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.add(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 25                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 47                │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 58                │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 26                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.add(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 8                 │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 9                 │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.add(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 2                 │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 9                 │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 25                │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.add(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.add(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.addcolumn.md b/api-reference copy/dataframe/danfo.dataframe.addcolumn.md
deleted file mode 100644
index ef0ecc9..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.addcolumn.md	
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Add new column to a DataFrame
----
-
-# DataFrame.addColumn
-
-danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
-
-**Returns:**
-
-## **Examples**
-
-## **Add Array as a new column to DataFrame**
-
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Add Series as a new column to DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-let s = new dfd.Series([1, 2, 3, 4])
-df.addColumn({ "column": "D", "values": s, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.apply.md b/api-reference copy/dataframe/danfo.dataframe.apply.md
deleted file mode 100644
index de42294..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.apply.md	
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Apply a function to each element or along a specified axis of a DataFrame.
----
-
-# DataFrame.apply
-
-danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Apply a  function along default axis 1 (columns)
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 1 })
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Apply a  function along  axis 0 (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 0 })
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ 6   ║
-╟───┼─────╢
-║ 1 │ 15  ║
-╟───┼─────╢
-║ 2 │ 90  ║
-╟───┼─────╢
-║ 3 │ 206 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.column.md b/api-reference copy/dataframe/danfo.dataframe.column.md
deleted file mode 100644
index 7d963a2..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.column.md	
+++ /dev/null
@@ -1,72 +0,0 @@
----
-description: Return the elements of the specified column in the DataFrame
----
-
-# DataFrame.column
-
-danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
-
-| Parameters | Type   | Description                           | Default |
-| ---------- | ------ | ------------------------------------- | ------- |
-| column     | String | The name of a column in the DataFrame |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## **Select a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = { "Name": ["Apples", "App", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10] ,
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-
-df.column("Name").print()
-
-//Alternatively, you can retrieve columns by using the object property
-df['Name'].print() //produces the same result as above
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
diff --git a/api-reference copy/dataframe/danfo.dataframe.copy.md b/api-reference copy/dataframe/danfo.dataframe.copy.md
deleted file mode 100644
index 188179d..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.copy.md	
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Makes a new copy of the DataFrame
----
-
-# DataFrame.copy
-
-danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-let new_df = df.copy()
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.count.md b/api-reference copy/dataframe/danfo.dataframe.count.md
deleted file mode 100644
index 637cbf4..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.count.md	
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Count non-NaN cells for each column or row. The values NaN and undefined are
-  considered NaN
----
-
-# DataFrame.count
-
-danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Count Non-NaN values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ Name  │ 3                    ║
-╟───────┼──────────────────────╢
-║ Count │ 2                    ║
-╟───────┼──────────────────────╢
-║ Price │ 4                    ║
-╚═══════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Count Non-NaN values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.cummax.md b/api-reference copy/dataframe/danfo.dataframe.cummax.md
deleted file mode 100644
index fb69bb5..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.cummax.md	
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative maximum over a DataFrame or Series axis.
----
-
-# DataFrame.cummax
-
-danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative maximum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 11                │ 20                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 11                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 11                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative maximum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 15                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 89                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cummin.md b/api-reference copy/dataframe/danfo.dataframe.cummin.md
deleted file mode 100644
index be026a6..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.cummin.md	
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative minimum over a DataFrame or Series axis.
----
-
-# DataFrame.cummin
-
-danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative minimum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1                 │ 15                │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative minimum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 11                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 2                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cumprod.md b/api-reference copy/dataframe/danfo.dataframe.cumprod.md
deleted file mode 100644
index 06ad53a..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.cumprod.md	
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative product over a DataFrame or Series axis.
----
-
-# DataFrame.cumprod
-
-danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative product of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 10                │ 18                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 300               │ 720               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 4                 │ 26700             │ 56160             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative product of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod({axis: 1})
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 60                │ 2400              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 178               │ 13884             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.cumsum.md b/api-reference copy/dataframe/danfo.dataframe.cumsum.md
deleted file mode 100644
index 07be896..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.cumsum.md	
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative sum over a DataFrame or Series axis.
----
-
-# DataFrame.cumsum
-
-danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative sum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 12                │ 35                │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 14                │ 65                │ 49                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 16                │ 154               │ 127               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative sum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 31                │ 34                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 16                │ 22                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 32                │ 72                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 91                │ 169               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.describe.md b/api-reference copy/dataframe/danfo.dataframe.describe.md
deleted file mode 100644
index 0540873..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.describe.md	
+++ /dev/null
@@ -1,61 +0,0 @@
----
-description: >-
-  Generate descriptive statistics for each numeric column. Numeric columns are
-  of type Int and float.
----
-
-# DataFrame.describe
-
-danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
-let col_names = ["col1", "col2", "col3", "col4"]
-let df = new dfd.DataFrame(data, {columns: col_names})
-
-df.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 3                 │ 3                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0                 │ 2                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 2                 │ 4                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 360               │ 180               │ 360               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference copy/dataframe/danfo.dataframe.div.md b/api-reference copy/dataframe/danfo.dataframe.div.md
deleted file mode 100644
index c98c66e..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.div.md	
+++ /dev/null
@@ -1,254 +0,0 @@
----
-description: >-
-  Get Float division of DataFrame and other, element-wise (binary operator
-  truediv).
----
-
-# DataFrame.div
-
-danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Division of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.div(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.div(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0.25              │ 0.6000000238418…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0.4000000059604…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1.25              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0.25              │ 0.8000000119209…  ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of  ****  DataFrame **with** a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.div(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0.1000000014901…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0.8000000119209…  │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0.25              │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of **** Array **with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.div(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.div(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.dropna.md b/api-reference copy/dataframe/danfo.dataframe.dropna.md
deleted file mode 100644
index 429bcbe..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.dropna.md	
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Remove missing values (NaNs, undefined, null) for DataFrame
----
-
-# DataFrame.dropna
-
-danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
-
-| Parameters | Type   | Description                                                                                                                   | Default              |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
-| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
-| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace:** false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Drop rows (axis=0) with missing values &#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-let df_drop = df.dropna(0)
-df_drop.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop columns (axis=1) with missing values &#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-df.dropna({axis: 1, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.eq.md b/api-reference copy/dataframe/danfo.dataframe.eq.md
deleted file mode 100644
index 5f3cf2a..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.eq.md	
+++ /dev/null
@@ -1,190 +0,0 @@
----
-description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.eq
-
-danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.eq(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.eq(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.eq(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.eq(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.fillna.md b/api-reference copy/dataframe/danfo.dataframe.fillna.md
deleted file mode 100644
index 2ddb860..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.fillna.md	
+++ /dev/null
@@ -1,178 +0,0 @@
----
-description: >-
-  Fill NaN/undefined values using the specified method. Detect missing values
-  for an array-like object.
----
-
-# DataFrame.fillna
-
-danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
-
-| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
-| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Fill missing values in specified columns with specified values&#x20;
-
-Missing values are NaN, undefined or null values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let values = ["Apples", df["Count"].mean()]
-let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//Before filling
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ NaN               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ NaN               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ NaN               │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After filling
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 7.5               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 7.5               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill all columns with NaNs with a specified value&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
-
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill NaNs inplace&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let values = ["Apples", df["Count"].mean()]
-df.fillna(values, {
-    columns: ["Name", "Count"],
-    inplace: true
-})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.ge.md b/api-reference copy/dataframe/danfo.dataframe.ge.md
deleted file mode 100644
index 8e5401b..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.ge.md	
+++ /dev/null
@@ -1,195 +0,0 @@
----
-description: >-
-  Get Greater or Equal to of DataFrame and other, element-wise (binary operator
-  eq).
----
-
-# DataFrame.ge
-
-danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;    **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ge(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ge(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ge(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.ge(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.groupby.md b/api-reference copy/dataframe/danfo.dataframe.groupby.md
deleted file mode 100644
index e7d084f..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.groupby.md	
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Group DataFrame using a mapper or by a Series of columns.
----
-
-# DataFrame.groupby
-
-danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
-
-| Parameters | Type  | Description                                           | Default |
-| ---------- | ----- | ----------------------------------------------------- | ------- |
-| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame.groups**
-
-## **Examples**
-
-## **Groupby a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"])
-console.log(group_df)
-
-//GroupBy Object
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
-  data: [
-    [ 'Pear', 2, 3 ],
-    [ 'Pear', 5, 6 ],
-    [ 'Apple', 30, 40 ],
-    [ 'Apple', 89, 78 ]
-  ],
-  column_name: [ 'A', 'B', 'C' ],
-  data_tensors: {
-    Pear: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-      '$index': [Array],
-      '$dtypes': [Array],
-      '$columns': [Array]
-    },
-    Apple: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-       ...
-      '$columns': [Array]
-    }
-  },
-  col_dtype: [ 'string' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
-
-1. [count](danfo.dataframe.count.md)
-2. [sum](danfo.dataframe.sum.md)
-3. [std](danfo.dataframe.std.md)
-4. [var](danfo.dataframe.var.md)
-5. [mean](danfo.dataframe.mean.md)
-6. [cumsum](danfo.dataframe.cumsum.md)&#x20;
-7. [cummax](danfo.dataframe.cummax.md)
-8. [cumprod](danfo.dataframe.cumprod.md)
-9. [cummin](danfo.dataframe.cummin.md)
-10. [max](danfo.dataframe.max.md)
-11. [min](danfo.dataframe.min.md)
-
-## Example of Groupby and apply a sum function
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"]).sum()
-
-group_df.print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B_sum             │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 7                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 119               │ 118               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-## **Groupby a two columns from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A", "B"]).sum()
-
-group_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 2                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Apple             │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference copy/dataframe/danfo.dataframe.gt.md b/api-reference copy/dataframe/danfo.dataframe.gt.md
deleted file mode 100644
index ec3f7ba..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.gt.md	
+++ /dev/null
@@ -1,191 +0,0 @@
----
-description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.gt
-
-danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.gt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.gt(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.gt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.gt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.head.md b/api-reference copy/dataframe/danfo.dataframe.head.md
deleted file mode 100644
index 3fe62c4..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.head.md	
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the first n rows of the DataFrame based on position.
----
-
-# DataFrame.head
-
-danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.head(2)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.iloc.md b/api-reference copy/dataframe/danfo.dataframe.iloc.md
deleted file mode 100644
index ffd7e25..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.iloc.md	
+++ /dev/null
@@ -1,331 +0,0 @@
----
-description: Purely integer-location based indexing for selection by position.
----
-
-# DataFrame.iloc
-
-danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                         | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A string slice object with ints, e.g. `"1:7"`
-* A boolean array.
-
-_**Note:** only the start index is included._
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,1,3]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row and return all columns**
-
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: ["1:3"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of column and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by the specified index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,3], columns: [1,2]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by slices
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-╔═══╤═══════════════════╗
-║   │ Count             ║
-╟───┼───────────────────╢
-║ 2 │ 30                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### More default slicing behavior
-
-If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.isna.md b/api-reference copy/dataframe/danfo.dataframe.isna.md
deleted file mode 100644
index 830bda5..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.isna.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Return a boolean same-sized object indicating if the values are NaN.
-  NaN/undefined values gets mapped to true values, and everything else gets
-  mapped to false values.
----
-
-# DataFrame.isna
-
-danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.isna().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.it.md b/api-reference copy/dataframe/danfo.dataframe.it.md
deleted file mode 100644
index 3759197..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.it.md	
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: Get Less than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.It
-
-danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-           "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.lt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10, 40])
-
-let df_rep = df.lt(sf, { axis: 1 })
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-         "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.lt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.lt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.le.md b/api-reference copy/dataframe/danfo.dataframe.le.md
deleted file mode 100644
index 31ce3f7..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.le.md	
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: >-
-  Get Less than or Equal to of DataFrame and other, element-wise (binary
-  operator eq).
----
-
-# DataFrame.le
-
-danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.le(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.le(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-              "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.le(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.le(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.loc.md b/api-reference copy/dataframe/danfo.dataframe.loc.md
deleted file mode 100644
index abdcdd9..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.loc.md	
+++ /dev/null
@@ -1,367 +0,0 @@
----
-description: Access a group of rows and columns by label(s)
----
-
-# DataFrame.loc
-
-danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                            | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-`.loc()` is  label position based-from `0` to `length-1` of the row axis.
-
-Allowed inputs for are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Index by specific rows and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({rows: ["a", "c"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a list of column names and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({columns: ["Count", "Price"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ a │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ b │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Index both axes by the specified labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: ["c","d"], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after slicing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-df`.loc({ row: [a:e]}).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-df``.loc({ row: [`"a":"e"`]}).print()``\
-\
-_**Inner**_ _**quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### Slice DataFrame rows by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.loc({ rows: df["Count"].gt(6) })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-### Slice DataFrame rows by multiple boolean conditions
-
-{% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame._&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let condition = df["Count"].gt(6).and(df["Price"].lt(250))
-let sub_df = df.loc({ rows: condition })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-### Slice DataFrame with boolean mask
-
-{% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-
-let sub_df = df.loc({ rows: [false, true, true, true] })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
diff --git a/api-reference copy/dataframe/danfo.dataframe.max.md b/api-reference copy/dataframe/danfo.dataframe.max.md
deleted file mode 100644
index a5c2119..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.max.md	
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Return the maximum of the values for the requested axis.
----
-
-# DataFrame.max
-
-danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Return the maximum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.max().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 11                   ║
-╟───┼──────────────────────╢
-║ B │ 89                   ║
-╟───┼──────────────────────╢
-║ C │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the maximum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.max({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 15                   ║
-╟───┼──────────────────────╢
-║ 2 │ 40                   ║
-╟───┼──────────────────────╢
-║ 3 │ 89                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.mean.md b/api-reference copy/dataframe/danfo.dataframe.mean.md
deleted file mode 100644
index 172cff5..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.mean.md	
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the mean of the values for the requested axis.
----
-
-# DataFrame.mean
-
-danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Computes the mean of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.mean().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 4                    ║
-╟───┼──────────────────────╢
-║ B │ 38.5                 ║
-╟───┼──────────────────────╢
-║ C │ 31.75                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Computes the mean of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-let cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.mean({ axis: 0 }).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11.333333015441895   ║
-╟───┼──────────────────────╢
-║ 1 │ 7.333333492279053    ║
-╟───┼──────────────────────╢
-║ 2 │ 24                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56.33333206176758    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.median.md b/api-reference copy/dataframe/danfo.dataframe.median.md
deleted file mode 100644
index 3e33583..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.median.md	
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the median of the values for the requested axis.
----
-
-# DataFrame.median
-
-danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculates the median of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.median().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 2                    ║
-╟───┼──────────────────────╢
-║ B │ 25                   ║
-╟───┼──────────────────────╢
-║ C │ 23                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the median of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.median({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11                   ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 30                   ║
-╟───┼──────────────────────╢
-║ 3 │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.min.md b/api-reference copy/dataframe/danfo.dataframe.min.md
deleted file mode 100644
index 49a13d6..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.min.md	
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the minimum of the values for the requested axis.
----
-
-# DataFrame.min
-
-danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Returns the minimum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.min().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 1                    ║
-╟───┼──────────────────────╢
-║ B │ 15                   ║
-╟───┼──────────────────────╢
-║ C │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the minimum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.min({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.mod.md b/api-reference copy/dataframe/danfo.dataframe.mod.md
deleted file mode 100644
index 18558e6..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.mod.md	
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
----
-
-# DataFrame.mod
-
-danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Modulo of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mod(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mod(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 4                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of  ****  DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mod(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 5                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of **** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mod(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mod(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.mul.md b/api-reference copy/dataframe/danfo.dataframe.mul.md
deleted file mode 100644
index 3303d77..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.mul.md	
+++ /dev/null
@@ -1,252 +0,0 @@
----
-description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
----
-
-# DataFrame.mul
-
-danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Multiplication of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mul(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mul(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 4                 │ 15                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 16                │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 4                 │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mul(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 100               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 8                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mul(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mul(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.ne.md b/api-reference copy/dataframe/danfo.dataframe.ne.md
deleted file mode 100644
index dd45cf0..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.ne.md	
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.ne
-
-danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ne(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ne(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ne(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10, 40, 30, 20]
-
-let df_rep = df.le(val)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             │ false             │ true              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.pow.md b/api-reference copy/dataframe/danfo.dataframe.pow.md
deleted file mode 100644
index e6f1e6c..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.pow.md	
+++ /dev/null
@@ -1,260 +0,0 @@
----
-description: >-
-  Get Exponential power of dataframe and other, element-wise (binary operator
-  pow).
----
-
-# DataFrame.pow
-
-danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Exponential of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.pow(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.pow(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 243               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 256               │ 32                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 625               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 1024              ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of  ****  DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.pow(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 1048576           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1024              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 95367433551872    │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 16                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of **** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.pow(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.pow(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.query.md b/api-reference copy/dataframe/danfo.dataframe.query.md
deleted file mode 100644
index 129c8e7..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.query.md	
+++ /dev/null
@@ -1,278 +0,0 @@
----
-description: >-
-  Query the DataFrame by the result of a logical comparison or boolean mask.
-  Supports logical operations like (">", "<", ">=", "<=", and. "==")
----
-
-# DataFrame.query
-
-danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
-| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
-
-## **Examples**
-
-## **Query a DataFrame using a boolean mask**
-
-{% hint style="info" %}
-Querying by a boolean condition is supported from v0.3.0 and above.
-{% endhint %}
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5) })
-query_df.print() //after query
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
-query_df.print() //after query
-
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Ng                │ 34                │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-## **Query a DataFrame using logical operators**
-
-To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print() //before query
-
-let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
-query_df.print() //after query
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 4                 │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query by a string column in a DataFrame**
-
-The query method also works on string columns.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": ["Ng", "Yu", "Mo", "Ng"],
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-            
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query a DataFrame inplace**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.query({
-    column: "B",
-    is: ">",
-    to: 5,
-    inplace: true
-})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.replace.md b/api-reference copy/dataframe/danfo.dataframe.replace.md
deleted file mode 100644
index 82fa16d..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.replace.md	
+++ /dev/null
@@ -1,102 +0,0 @@
----
-description: Replaces values in a DataFrame with specified values
----
-
-# DataFrame.replace
-
-> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
-
-| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
-| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
-| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
-| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
-| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-****
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.replace(10, -999, { columns: ["Col1"] })
-
-df_rep.print()
- 
- 
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -999              │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 45                │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 56                │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -999              │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By not specifying a **** column**,** the **** replace works on all columns ****&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
-let df = new dfd.DataFrame(data)
-//replace value in all column
-let df_rep = df.replace("A", "BOY")
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ B                 │ C                 │ C                 │ D                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.round.md b/api-reference copy/dataframe/danfo.dataframe.round.md
deleted file mode 100644
index e12cb52..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.round.md	
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: Round elements in a DataFrame to a specified number of decimal places.
----
-
-# DataFrame.round
-
-danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Round elements to 1dp (Default)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1              │ 3.6               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.1               │ 40.2              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Round elements to a specified number of decimal places
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round(2)
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round operation 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.12             │ 3.57              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.23             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference copy/dataframe/danfo.dataframe.sample.md b/api-reference copy/dataframe/danfo.dataframe.sample.md
deleted file mode 100644
index b8a4c96..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.sample.md	
+++ /dev/null
@@ -1,112 +0,0 @@
----
-description: Return a random sample of rows from DataFrame.
----
-
-# DataFrame.sample
-
-danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
-
-| Parameters | Type | Description                                                                                                                        | Default |
-| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
-| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
-
-**Returns:**
-
-&#x20;      ****       return **{Promies} resolves to DataFrame**
-
-****
-
-## Sample a DataFrame randomly
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data = {
-    Name: ["Apples", "Mango", "Banana", "Pear"],
-    Count: [21, 5, 30, 10],
-    Price: [200, 300, 40, 250],
-  };
-
-  let df = new dfd.DataFrame(data);
-  let s_df = await df.sample(2);
-  s_df.print();
-  
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sample a DataFrame randomly with seed
-
-By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data = {
-        Name: ["Apples", "Mango", "Banana", "Pear"],
-        Count: [21, 5, 30, 10],
-        Price: [200, 300, 40, 250],
-    };
-
-    let df = new dfd.DataFrame(data);
-    let s_df = await df.sample(3, { seed: 2 });
-    s_df.print();
-
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.std.md b/api-reference copy/dataframe/danfo.dataframe.std.md
deleted file mode 100644
index 1a37e2e..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.std.md	
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return sample standard deviation over requested axis.
----
-
-# DataFrame.std
-
-danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculates the standard deviation of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4.69041575982343     ║
-╟───┼──────────────────────╢
-║ 1 │ 34.23935357645254    ║
-╟───┼──────────────────────╢
-║ 2 │ 35.103418636936205   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the standard deviation of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 8.504900548115383    ║
-╟───┼──────────────────────╢
-║ 1 │ 7.094598884597588    ║
-╟───┼──────────────────────╢
-║ 2 │ 19.697715603592208   ║
-╟───┼──────────────────────╢
-║ 3 │ 47.37439533475159    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.sub.md b/api-reference copy/dataframe/danfo.dataframe.sub.md
deleted file mode 100644
index e36ddcc..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.sub.md	
+++ /dev/null
@@ -1,250 +0,0 @@
----
-description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
----
-
-# DataFrame.sub
-
-danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Subtraction of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.sub(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.sub(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ -3                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ -3                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ -5                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -3                │ -1                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.sub(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ -18               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ -1                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ -15               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -10               │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.sub(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.sub(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/dataframe/danfo.dataframe.sum.md b/api-reference copy/dataframe/danfo.dataframe.sum.md
deleted file mode 100644
index 3937d3f..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.sum.md	
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Return the sum of the values for the requested axis.
----
-
-# DataFrame.sum
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Sum elements along default axis (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum()
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20.1             │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ -20               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ -20               │ 6                 │ -40               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤════════════════════╗
-║ A │ 37.199999999999996 ║
-╟───┼────────────────────╢
-║ B │ 41                 ║
-╟───┼────────────────────╢
-║ C │ -10                ║
-╚═══╧════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sum elements along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum({axis: 0})
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ sum                  ║
-╟───┼──────────────────────╢
-║ 0 │ 33.9                 ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 82.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -54                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.tail.md b/api-reference copy/dataframe/danfo.dataframe.tail.md
deleted file mode 100644
index 165acac..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.tail.md	
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the last n rows from the DataFrame based on position.
----
-
-# DataFrame.tail
-
-danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.tail(3)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/danfo.dataframe.var.md b/api-reference copy/dataframe/danfo.dataframe.var.md
deleted file mode 100644
index ea0daf2..0000000
--- a/api-reference copy/dataframe/danfo.dataframe.var.md	
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return unbiased variance over requested axis.
----
-
-# DataFrame.var
-
-danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculate variance of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 22                   ║
-╟───┼──────────────────────╢
-║ 1 │ 1172.3333333333333   ║
-╟───┼──────────────────────╢
-║ 2 │ 1232.25              ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculate variance of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 72.33333333333334    ║
-╟───┼──────────────────────╢
-║ 1 │ 50.33333333333333    ║
-╟───┼──────────────────────╢
-║ 2 │ 388                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2244.333333333333    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference copy/dataframe/dataframe.append.md b/api-reference copy/dataframe/dataframe.append.md
deleted file mode 100644
index bc2e29d..0000000
--- a/api-reference copy/dataframe/dataframe.append.md	
+++ /dev/null
@@ -1,76 +0,0 @@
----
-description: Adds new row to the end of a DataFrame
----
-
-# DataFrame.append
-
-danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
-
-| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
-| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
-| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
-| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Appends a new row to the end of a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_df = df.append([[20, 40, 60, "d"]], [3])
-new_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 40                │ 60                │ d                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/dataframe/dataframe.apply_map.md b/api-reference copy/dataframe/dataframe.apply_map.md
deleted file mode 100644
index 3819821..0000000
--- a/api-reference copy/dataframe/dataframe.apply_map.md	
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Apply a function to a Dataframe values element-wise.
----
-
-# DataFrame.apply\_map
-
-danfo.DataFrame.**apply\_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Apply a  function to all values in a DataFrame
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    short_name: ["NG", "GH", "EGY", "SA"],
-    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
-}
-let df = new dfd.DataFrame(data)
-
-function lower(x) {
-    return `${x}`.toLowerCase()
-}
-
-let df_new = df.apply_map(lower)
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ short_name        │ long_name         ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ ng                │ nigeria           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ gh                │ ghana             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ egy               │ eqypt             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ sa                │ south africa      ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.astype.md b/api-reference copy/dataframe/dataframe.astype.md
deleted file mode 100644
index e6434dc..0000000
--- a/api-reference copy/dataframe/dataframe.astype.md	
+++ /dev/null
@@ -1,222 +0,0 @@
----
-description: Cast column of a DataFrame to a specified dtype.
----
-
-# DataFrame.astype
-
-danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Cast a float dtype column to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-df.ctypes.print()
-
-let df_new = df.astype({column: "A", dtype: "int32"})
-df_new.print()
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before casting
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-
-
- //after casting
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47                │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Casting a string column of numbers to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["20", "13", "45", "90"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ 13                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ 45                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** Casting a string column of alphabets/words to numeric form will return NaNs as values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.axes.md b/api-reference copy/dataframe/dataframe.axes.md
deleted file mode 100644
index 399a0a4..0000000
--- a/api-reference copy/dataframe/dataframe.axes.md	
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: >-
-  Return an Object containing the axes of the DataFrame. It has the row axis
-  labels and column axis labels as the only members. They are returned in that
-  order.
----
-
-# DataFrame.axis
-
-danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Object**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.axis)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.drop.md b/api-reference copy/dataframe/dataframe.drop.md
deleted file mode 100644
index 0b742aa..0000000
--- a/api-reference copy/dataframe/dataframe.drop.md	
+++ /dev/null
@@ -1,143 +0,0 @@
----
-description: >-
-  Drop specified labels from rows or columns.Remove rows or columns by
-  specifying label names and corresponding axis.
----
-
-# DataFrame.drop
-
-danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
-| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Drop columns by specifying the names
-
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.drop({ columns: ["C", "B"], inplace: true });
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ a                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ b                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ c                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying int labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3, -20],
-    "B": [34, -4, 5, 6],
-    "C": [20, 20, 30, 30],
-    "D": ["a", "b", "c", "c"]
-}
-
-let df = new dfd.DataFrame(data)
-df.drop({ index: [0, 2], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying string labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.drop({ index: ["a", "c"], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.dtypes.md b/api-reference copy/dataframe/dataframe.dtypes.md
deleted file mode 100644
index 791d296..0000000
--- a/api-reference copy/dataframe/dataframe.dtypes.md	
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Return the inferred column types in the DataFrame. This returns a Series with
-  the data type of each column. The result’s index is the original DataFrame’s
-  columns.
----
-
-# DataFrame.ctypes
-
-danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
-
-**Returns:**
-
-&#x20;      ****       return  **Series**
-
-## **Examples**
-
-Returns auto-generated **** index of a **** DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Columns with mixed types are represented as **string.**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note**: To cast a type, use the [astype](dataframe.astype.md) method.&#x20;
diff --git a/api-reference copy/dataframe/dataframe.index.md b/api-reference copy/dataframe/dataframe.index.md
deleted file mode 100644
index a185e63..0000000
--- a/api-reference copy/dataframe/dataframe.index.md	
+++ /dev/null
@@ -1,69 +0,0 @@
----
-description: The index (row labels) of the DataFrame.
----
-
-# DataFrame.index
-
-danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-## **Examples**
-
-Returns auto-generated **** index of a **** DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[0, 1, 2, 3]
-```
-{% endtab %}
-{% endtabs %}
-
-
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 'r1', 'r2', 'r3', 'r4' ]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.ndim.md b/api-reference copy/dataframe/dataframe.ndim.md
deleted file mode 100644
index c64dd09..0000000
--- a/api-reference copy/dataframe/dataframe.ndim.md	
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: >-
-  Return an int representing the number of axes / array dimensions. Returns 1 if
-  Series. Otherwise return 2 for DataFrame.
----
-
-# DataFrame.ndim
-
-danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
-
-**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.ndim)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-2
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.nunique-1.md b/api-reference copy/dataframe/dataframe.nunique-1.md
deleted file mode 100644
index 8166904..0000000
--- a/api-reference copy/dataframe/dataframe.nunique-1.md	
+++ /dev/null
@@ -1,98 +0,0 @@
-# DataFrame.nunique
-
-danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
-
-| Parameters | Type | Description                            | Default |
-| ---------- | ---- | -------------------------------------- | ------- |
-| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-### Return number of unique values along column axis (axis=1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 4 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Return number of unique values in row axis (axis=0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique(axis=0).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To get the unique elements along an axis, use **** [DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference copy/dataframe/dataframe.print.md b/api-reference copy/dataframe/dataframe.print.md
deleted file mode 100644
index d03232d..0000000
--- a/api-reference copy/dataframe/dataframe.print.md	
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: >-
-  Pretty prints default (10) number of rows in a DataFrame or Series to the
-  console
----
-
-# DataFrame.print
-
-danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Abs               │ Count             │ country code      ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.2              │ 34                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ FR                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ GH                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Using JavaScript default **console.log** to display a DataFrame will return the Object instead unless you manually cast it to a String
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-console.log(df)
-console.log(String(df));
-// console.log(df + ""); //same result as above
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-DataFrame {
-  '$isSeries': false,
-  '$config': Configs {
-    tableDisplayConfig: {},
-    tableMaxRow: 10,
-    tableMaxColInConsole: 21,
-    dtypeTestLim: 7,
-    lowMemoryMode: false
-  },
-  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
-  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
-  '$index': [ 0, 1, 2 ],
-  '$dtypes': [ 'float32', 'int32', 'string' ],
-  '$columns': [ 'Abs', 'Count', 'country code' ]
-}
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Abs               │ Count             │ country code      ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20.2              │ 34                │ NG                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ FR                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ GH                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.rename.md b/api-reference copy/dataframe/dataframe.rename.md
deleted file mode 100644
index c33ce99..0000000
--- a/api-reference copy/dataframe/dataframe.rename.md	
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: >-
-  Change axes labels. Object values must be unique (1-to-1). Labels not
-  contained in a dict / Series will be left as-is. Extra labels listed don’t
-  throw an error.
----
-
-# DataFrame.rename
-
-danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
-| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Rename columns&#x20;
-
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.rename({ mapper: {"A": "new_name"},inplace: true })
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename more the one column at time
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 6],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ new_c             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename index by labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, -4, 6],
-    "C": [20, 2, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df = df.rename({ mapper: { "a": 0 }, axis: 0 })
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.reset_index.md b/api-reference copy/dataframe/dataframe.reset_index.md
deleted file mode 100644
index ddee8e0..0000000
--- a/api-reference copy/dataframe/dataframe.reset_index.md	
+++ /dev/null
@@ -1,73 +0,0 @@
----
-description: Reset the index of the DataFrame, and use the default one instead.
----
-
-# DataFrame.reset\_index
-
-danfo.DataFrame.**reset\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object | <p><strong>{</strong> </p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, 5, 6],
-    "C": [20, 3, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df.print()
-
-df.reset_index({ inplace: true }) //inplace
-//df = df.reset_index() //not in inplace
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.select_dtypes.md b/api-reference copy/dataframe/dataframe.select_dtypes.md
deleted file mode 100644
index ba5044e..0000000
--- a/api-reference copy/dataframe/dataframe.select_dtypes.md	
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return a subset of the DataFrame’s columns based on the column dtypes.
----
-
-# DataFrame.select\_dtypes
-
-danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
-
-| Parameters | Type  | Description                      | Default |
-| ---------- | ----- | -------------------------------- | ------- |
-| include    | Array | List of column dtypes to return  |         |
-
-**Returns:**
-
-&#x20;      ****       return  **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-float_df = df.select_dtypes(['float32'])
-float_df.print()
-
-mix_df = df.select_dtypes(include=['float32', "int32"])
-mix_df.print()
-
-str_df = df.select_dtypes(include=['string'])
-str_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//select float column(s)
-╔═══╤══════════════════════╗
-║   │ A                    ║
-╟───┼──────────────────────╢
-║ 0 │ -20.1                ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 2 │ 47.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -20                  ║
-╚═══╧══════════════════════╝
-
-
- //select both float and int columns
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//return string type column
-╔═══╤══════════════════════╗
-║   │ D                    ║
-╟───┼──────────────────────╢
-║ 0 │ a                    ║
-╟───┼──────────────────────╢
-║ 1 │ b                    ║
-╟───┼──────────────────────╢
-║ 2 │ 20                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.set_index.md b/api-reference copy/dataframe/dataframe.set_index.md
deleted file mode 100644
index e82c213..0000000
--- a/api-reference copy/dataframe/dataframe.set_index.md	
+++ /dev/null
@@ -1,176 +0,0 @@
----
-description: >-
-  Set the DataFrame index using existing columns or an array (of the equal
-  length).
----
-
-# DataFrame.set_index
-
-danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
-| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
-
-## **Examples**
-
-### **Setting index to a column in the DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ -20        │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 30         │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### ****
-
-### **Setting index to a column in the DataFrame and dropping the column**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", drop: true, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ -20        │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 30         │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Set index to an array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_index = ["a", "b", "c"]
-df.set_index({index: new_index, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
diff --git a/api-reference copy/dataframe/dataframe.shape.md b/api-reference copy/dataframe/dataframe.shape.md
deleted file mode 100644
index 746491d..0000000
--- a/api-reference copy/dataframe/dataframe.shape.md	
+++ /dev/null
@@ -1,43 +0,0 @@
----
-description: Returns an Array representing the dimensionality of the DataFrame.
----
-
-# DataFrame.shape
-
-danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.shape)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[4,3]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.sort_index.md b/api-reference copy/dataframe/dataframe.sort_index.md
deleted file mode 100644
index 81d5b7f..0000000
--- a/api-reference copy/dataframe/dataframe.sort_index.md	
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Sort DataFrame by index
----
-
-# DataFrame.sort\_index
-
-DataFrame.**sort\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
-
-| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
-                           index: ["b", "a", "c"] })
-df.print()
-
-let df2 = df.sort_index({ ascending: false })
-df2.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after sorting in descending order
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/dataframe/dataframe.sort_values.md b/api-reference copy/dataframe/dataframe.sort_values.md
deleted file mode 100644
index 54345b1..0000000
--- a/api-reference copy/dataframe/dataframe.sort_values.md	
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Sort a Dataframe in ascending or descending order by a specified column name.
----
-
-# DataFrame.sort\_values
-
-danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "C", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Sort DataFrame by a column in descending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "B", inplace: true, ascending: false})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.tensor.md b/api-reference copy/dataframe/dataframe.tensor.md
deleted file mode 100644
index 822886e..0000000
--- a/api-reference copy/dataframe/dataframe.tensor.md	
+++ /dev/null
@@ -1,110 +0,0 @@
----
-description: >-
-  Return a Tensorflow tensor representation of the DataFrame. Only the values in
-  the DataFrame will be returned, the axes labels will be removed.
----
-
-# DataFrame.tensor
-
-danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **tf.tensor**
-
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care.&#x20;
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30]}
-             
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-Tensor
-    [[-20       , 34, 20],
-     [30        , -4, 20],
-     [47.2999992, 5 , 30],
-     [-20       , 6 , 30]]
-```
-{% endtab %}
-{% endtabs %}
-
-String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32 
-
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 3, 3 ],
-  dtype: 'float32',
-  size: 9,
-  strides: [ 3 ],
-  dataId: {},
-  id: 0,
-  rankType: '2'
-}
-
-Tensor
-    [[20.2000008, 34, NaN],
-     [30        , 4 , NaN],
-     [47.2999992, 5 , NaN]]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/dataframe/dataframe.to_csv.md b/api-reference copy/dataframe/dataframe.to_csv.md
deleted file mode 100644
index 8e84e9a..0000000
--- a/api-reference copy/dataframe/dataframe.to_csv.md	
+++ /dev/null
@@ -1,114 +0,0 @@
----
-description: Convert DataFrame data to a comma-separated values (csv)
----
-
-# DataFrame.to\_csv
-
-DataFrame.**to\_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-***
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = df.to_csv({ download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in browser
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ fileName: "testOut.csv", download: true});
-```
diff --git a/api-reference copy/dataframe/dataframe.to_excel.md b/api-reference copy/dataframe/dataframe.to_excel.md
deleted file mode 100644
index 4adf437..0000000
--- a/api-reference copy/dataframe/dataframe.to_excel.md	
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# DataFrame.to_excel
-
-> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in a browser
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ fileName: "testOut.xlsx"});
-```
diff --git a/api-reference copy/dataframe/dataframe.to_json.md b/api-reference copy/dataframe/dataframe.to_json.md
deleted file mode 100644
index 326f422..0000000
--- a/api-reference copy/dataframe/dataframe.to_json.md	
+++ /dev/null
@@ -1,127 +0,0 @@
----
-description: Convert DataFrame to JSON format
----
-
-# DataFrame.to\_json
-
-> DataFrame.**to\_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
-| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = df.to_json({ download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = df.to_json({
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ fileName: "test_out.json" });
-```
diff --git a/api-reference copy/dataframe/dataframe.values.md b/api-reference copy/dataframe/dataframe.values.md
deleted file mode 100644
index 598e395..0000000
--- a/api-reference copy/dataframe/dataframe.values.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Return a the JavaScript array representation of the DataFrame.
----
-
-# DataFrame.values
-
-danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Array**
-
-**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame. &#x20;
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data)
-
-console.log(df.values)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  [ -20.1, 34, 20 ],
-  [ 30, -4, -20 ],
-  [ 47.3, 5, 30 ],
-  [ -20, 6, -40 ]
-]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/general-functions/README.md b/api-reference copy/general-functions/README.md
deleted file mode 100644
index 07815b0..0000000
--- a/api-reference copy/general-functions/README.md	
+++ /dev/null
@@ -1,27 +0,0 @@
----
-description: Top level functions that can be called from the Danfo namespace
----
-
-# General Functions
-
-### Data manipulations
-
-|                                       |                                                                                                 |
-| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
-| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
-| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
-| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
-
-### Data Processing/Normalization
-
-| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
-| ----------------------------------------- | ---------------------------------------------------------------------- |
-| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
-| [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
-| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
-
-### Top-level dealing with datetime
-
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
-| ------------------------------------ | --------------------------------------- |
-| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference copy/general-functions/danfo.concat.md b/api-reference copy/general-functions/danfo.concat.md
deleted file mode 100644
index e248f46..0000000
--- a/api-reference copy/general-functions/danfo.concat.md	
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Concatenate DataFrames and Series along an axis
----
-
-# danfo.concat
-
-danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
-| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Concatenate two DataFrames along column axis (1)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
-com_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two DataFrames along row axis (0)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two Series along row axis (0)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
diff --git a/api-reference copy/general-functions/danfo.date_range.md b/api-reference copy/general-functions/danfo.date_range.md
deleted file mode 100644
index 9c4a337..0000000
--- a/api-reference copy/general-functions/danfo.date_range.md	
+++ /dev/null
@@ -1,111 +0,0 @@
----
-description: Return a fixed frequency Dates spread between start and end parameters.
----
-
-# danfo.date\_range
-
-danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
-| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-        console.log(data);
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '2/1/2018, 12:00:00 AM',
-  '3/1/2018, 12:00:00 AM',
-  '4/1/2018, 12:00:00 AM',
-  '5/1/2018, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '1/1/2019, 12:00:00 AM',
-  '1/1/2020, 12:00:00 AM',
-  '1/1/2021, 12:00:00 AM',
-  '1/1/2022, 12:00:00 AM',
-  '1/1/2023, 12:00:00 AM',
-  '1/1/2024, 12:00:00 AM',
-  '1/1/2025, 12:00:00 AM',
-  '1/1/2026, 12:00:00 AM',
-  '1/1/2027, 12:00:00 AM',
-  '1/1/2028, 12:00:00 AM',
-  '1/1/2029, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.get_dummies.md b/api-reference copy/general-functions/danfo.get_dummies.md
deleted file mode 100644
index e53fd81..0000000
--- a/api-reference copy/general-functions/danfo.get_dummies.md	
+++ /dev/null
@@ -1,188 +0,0 @@
----
-description: Convert categorical variable into dummy/indicator variables.
----
-
-# danfo.get\_dummies
-
-danfo.**get\_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
-| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
-| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
-| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
-let sf1 = new dfd.Series(datasf)
-
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert all categorical columns in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df)
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ fruits_pear       │ fruits_mango      │ ...               │ fruits_bean       │ Country_NG        │ Country_GH        │ Country_RU        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ 1                 │ 0                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 0                 │ 1                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ 0                 │ 0                 │ ...               │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 0                 │ 1                 │ ...               │ 0                 │ 0                 │ 0                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ 0                 │ 0                 │ ...               │ 1                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert a specific column in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Country           │ fruits_pear       │ fruits_mango      │ fruits_pawpaw     │ fruits_bean       ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ NG                │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ NG                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ GH                │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ RU                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ RU                │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
-{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.labelencoder.md b/api-reference copy/general-functions/danfo.labelencoder.md
deleted file mode 100644
index b0745a8..0000000
--- a/api-reference copy/general-functions/danfo.labelencoder.md	
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Encode target labels with value between 0 and n_classes-1.
----
-
-# danfo.LabelEncoder
-
-class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
-
-The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### **Label Encode values in a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = ["dog","cat","man","dog","cat","man","man","cat"]
-let series = new dfd.Series(data)
-
-let encode = new dfd.LabelEncoder()
-
-encode.fit(series)
-console.log(encode);
-
-let sf_enc = encode.transform(series.values)
-sf_enc.print()
-
-let new_sf = encode.transform(["dog","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╟───┼──────────────────────╢
-║ 5 │ 2                    ║
-╟───┼──────────────────────╢
-║ 6 │ 2                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with -1**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.LabelEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference copy/general-functions/danfo.merge.md b/api-reference copy/general-functions/danfo.merge.md
deleted file mode 100644
index 0c4b760..0000000
--- a/api-reference copy/general-functions/danfo.merge.md	
+++ /dev/null
@@ -1,453 +0,0 @@
----
-description: >-
-  Merge DataFrame or named Series objects with a database-style join.The join is
-  done on columns or indexes.
----
-
-# danfo.merge
-
-danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
-
-danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
-
-For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user\_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
-
-### **Merging by a single key found in both axis**
-
-By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- //first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on column 'Key1'
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Inner Join/Merge by multiple keys found in both axis**
-
-Merging by two keys takes into consideration the keys appearing in both`left` and `right DataFrame.`
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", 'Key2'], how: "inner"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on two keys
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
-
-### Outer join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1"], how: "outer"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//First DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//After outer join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Left join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "left"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- After left join
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ NaN               │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Right join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "right"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after right join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ NaN               │ NaN               │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
-{% endhint %}
diff --git a/api-reference copy/general-functions/danfo.minmaxscaler.md b/api-reference copy/general-functions/danfo.minmaxscaler.md
deleted file mode 100644
index d58af8b..0000000
--- a/api-reference copy/general-functions/danfo.minmaxscaler.md	
+++ /dev/null
@@ -1,125 +0,0 @@
----
-description: Transform features by scaling each feature to a range of max and min values.
----
-
-# danfo.MinMaxScaler
-
-class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
-
-This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
-
-The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### Standardize DataFrame Object using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize Series Object Using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-let sf = df.iloc({columns: ["0"]})
-
-scaler.fit(sf)
-
-let df_enc = scaler.transform(sf)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- Shape: (3,1) 
-
-╔═══╤═══════════════════╗
-║   │ 0                 ║
-╟───┼───────────────────╢
-║ 0 │ 1                 ║
-╟───┼───────────────────╢
-║ 1 │ 0.19191919267...  ║
-╟───┼───────────────────╢
-║ 2 │ 0                 ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference copy/general-functions/danfo.onehotencoder.md b/api-reference copy/general-functions/danfo.onehotencoder.md
deleted file mode 100644
index 81c913d..0000000
--- a/api-reference copy/general-functions/danfo.onehotencoder.md	
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Encode categorical features as a one-hot numeric array.
----
-
-# danfo.OneHotEncoder
-
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
-
-danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
-
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","bean"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with 0s all through**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","woman", "cup"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference copy/general-functions/danfo.standardscaler.md b/api-reference copy/general-functions/danfo.standardscaler.md
deleted file mode 100644
index 89ce861..0000000
--- a/api-reference copy/general-functions/danfo.standardscaler.md	
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: Standardize features by removing the mean and scaling to unit variance.
----
-
-# danfo.StandardScaler
-
-class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
-
-> z = (x - u) / s
-
-where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
-
-The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### Standardize Series Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.StandardScaler()
-
-let sf = new dfd.Series([100,1000,2000, 3000])
-sf.print()
-
-scaler.fit(sf)
-
-let sf_enc = scaler.transform(sf)
-sf_enc.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 100                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1000                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 3 │ 3000                 ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1.1375757455825806  ║
-╟───┼──────────────────────╢
-║ 1 │ -0.4191068708896637  ║
-╟───┼──────────────────────╢
-║ 2 │ 0.37919193506240845  ║
-╟───┼──────────────────────╢
-║ 3 │ 1.1774907112121582   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize DataFrame Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.StandardScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 89, 12],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference copy/general-functions/danfo.to_datetime.md b/api-reference copy/general-functions/danfo.to_datetime.md
deleted file mode 100644
index 7012100..0000000
--- a/api-reference copy/general-functions/danfo.to_datetime.md	
+++ /dev/null
@@ -1,141 +0,0 @@
----
-description: Converts an array of Date time string to Date object.
----
-
-# danfo.toDateTime
-
-danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type          | Description                                                                                                       | Default |
-| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
-| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-Converts a **Series** of Date strings to Date time and get time properties
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
-let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime(data)
-
-dt.month().print()
-dt.month_name().print()
-dt.weekdays().print()
-dt.day().print()
-dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
-//Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
-
-//string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
-
-//string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
-//Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference copy/groupby.md b/api-reference copy/groupby.md
deleted file mode 100644
index 1db2e52..0000000
--- a/api-reference copy/groupby.md	
+++ /dev/null
@@ -1,122 +0,0 @@
----
-description: >-
-  GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby(),
-  danfo.Series.groupby()
----
-
-# Groupby
-
-### Indexing, iteration
-
-| [`GroupBy.__iter__`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.__iter__.html#pandas.core.groupby.GroupBy.__iter__)\(\) | Groupby iterator. |
-| :--- | :--- |
-| [`GroupBy.groups`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.groups.html#pandas.core.groupby.GroupBy.groups) | Dict {group name -&gt; group labels}. |
-| [`GroupBy.indices`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.indices.html#pandas.core.groupby.GroupBy.indices) | Dict {group name -&gt; group indices}. |
-| [`GroupBy.get_group`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.get_group.html#pandas.core.groupby.GroupBy.get_group)\(name\[, obj\]\) | Construct DataFrame from group with provided name. |
-
-| [`Grouper`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Grouper.html#pandas.Grouper)\(\*args, \*\*kwargs\) | A Grouper allows the user to specify a groupby instruction for an object. |
-| :--- | :--- |
-
-
-### Function application
-
-| [`GroupBy.apply`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.apply.html#pandas.core.groupby.GroupBy.apply)\(func, \*args, \*\*kwargs\) | Apply function func group-wise and combine the results together. |
-| :--- | :--- |
-| [`GroupBy.agg`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.agg.html#pandas.core.groupby.GroupBy.agg)\(func, \*args, \*\*kwargs\) |  |
-| [`SeriesGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.html#pandas.core.groupby.SeriesGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`DataFrameGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html#pandas.core.groupby.DataFrameGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`SeriesGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html#pandas.core.groupby.SeriesGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values |
-| [`DataFrameGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html#pandas.core.groupby.DataFrameGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values |
-| [`GroupBy.pipe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pipe.html#pandas.core.groupby.GroupBy.pipe)\(func, \*args, \*\*kwargs\) | Apply a function func with arguments to this GroupBy object and return the function’s result. |
-
-### Computations / descriptive stats
-
-| [`GroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.all.html#pandas.core.groupby.GroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`GroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.any.html#pandas.core.groupby.GroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
-| [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
-| [`GroupBy.last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.last.html#pandas.core.groupby.GroupBy.last)\(\[numeric\_only, min\_count\]\) | Compute last of group values. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max)\(\[numeric\_only, min\_count\]\) | Compute max of group values. |
-| [`GroupBy.mean`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean)\(\[numeric\_only\]\) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.median`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.median.html#pandas.core.groupby.GroupBy.median)\(\[numeric\_only\]\) | Compute median of groups, excluding missing values. |
-| [`GroupBy.min`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.min.html#pandas.core.groupby.GroupBy.min)\(\[numeric\_only, min\_count\]\) | Compute min of group values. |
-| [`GroupBy.ngroup`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ngroup.html#pandas.core.groupby.GroupBy.ngroup)\(\[ascending\]\) | Number each group from 0 to the number of groups - 1. |
-| [`GroupBy.nth`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.nth.html#pandas.core.groupby.GroupBy.nth)\(n\[, dropna\]\) | Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. |
-| [`GroupBy.ohlc`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ohlc.html#pandas.core.groupby.GroupBy.ohlc)\(\) | Compute open, high, low and close values of a group, excluding missing values. |
-| [`GroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pad.html#pandas.core.groupby.GroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.prod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.prod.html#pandas.core.groupby.GroupBy.prod)\(\[numeric\_only, min\_count\]\) | Compute prod of group values. |
-| [`GroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.rank.html#pandas.core.groupby.GroupBy.rank)\(\[method, ascending, na\_option, …\]\) | Provide the rank of values within each group. |
-| [`GroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pct_change.html#pandas.core.groupby.GroupBy.pct_change)\(\[periods, fill\_method, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`GroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.size.html#pandas.core.groupby.GroupBy.size)\(\) | Compute group sizes. |
-| [`GroupBy.sem`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sem.html#pandas.core.groupby.GroupBy.sem)\(\[ddof\]\) | Compute standard error of the mean of groups, excluding missing values. |
-| [`GroupBy.std`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.std.html#pandas.core.groupby.GroupBy.std)\(\[ddof\]\) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum)\(\[numeric\_only, min\_count\]\) | Compute sum of group values. |
-| [`GroupBy.var`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.var.html#pandas.core.groupby.GroupBy.var)\(\[ddof\]\) | Compute variance of groups, excluding missing values. |
-| [`GroupBy.tail`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.tail.html#pandas.core.groupby.GroupBy.tail)\(\[n\]\) | Return last n rows of each group. |
-
-The following methods are available in both `SeriesGroupBy` and `DataFrameGroupBy` objects, but may differ slightly, usually in that the `DataFrameGroupBy` version usually permits the specification of an axis argument, and often an argument indicating whether to restrict application to columns of a specific data type.
-
-| [`DataFrameGroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.all.html#pandas.core.groupby.DataFrameGroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`DataFrameGroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.any.html#pandas.core.groupby.DataFrameGroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`DataFrameGroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.backfill.html#pandas.core.groupby.DataFrameGroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.html#pandas.core.groupby.DataFrameGroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
-| [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
-| [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.fillna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.html#pandas.core.groupby.DataFrameGroupBy.fillna) | Fill NA/NaN values using the specified method. |
-| [`DataFrameGroupBy.filter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html#pandas.core.groupby.DataFrameGroupBy.filter)\(func\[, dropna\]\) | Return a copy of a DataFrame excluding filtered elements. |
-| [`DataFrameGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.hist.html#pandas.core.groupby.DataFrameGroupBy.hist) | Make a histogram of the DataFrame’s. |
-| [`DataFrameGroupBy.idxmax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.html#pandas.core.groupby.DataFrameGroupBy.idxmax) | Return index of first occurrence of maximum over requested axis. |
-| [`DataFrameGroupBy.idxmin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.html#pandas.core.groupby.DataFrameGroupBy.idxmin) | Return index of first occurrence of minimum over requested axis. |
-| [`DataFrameGroupBy.mad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mad.html#pandas.core.groupby.DataFrameGroupBy.mad) | Return the mean absolute deviation of the values for the requested axis. |
-| [`DataFrameGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html#pandas.core.groupby.DataFrameGroupBy.nunique)\(\[dropna\]\) | Return DataFrame with counts of unique elements in each position. |
-| [`DataFrameGroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pad.html#pandas.core.groupby.DataFrameGroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.html#pandas.core.groupby.DataFrameGroupBy.pct_change)\(\[periods, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`DataFrameGroupBy.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.plot.html#pandas.core.groupby.DataFrameGroupBy.plot) | Class implementing the .plot attribute for groupby objects. |
-| [`DataFrameGroupBy.quantile`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.html#pandas.core.groupby.DataFrameGroupBy.quantile)\(\[q, interpolation\]\) | Return group values at the given quantile, a la numpy.percentile. |
-| [`DataFrameGroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.rank.html#pandas.core.groupby.DataFrameGroupBy.rank)\(\[method, ascending, …\]\) | Provide the rank of values within each group. |
-| [`DataFrameGroupBy.resample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.resample.html#pandas.core.groupby.DataFrameGroupBy.resample)\(rule, \*args, \*\*kwargs\) | Provide resampling when using a TimeGrouper. |
-| [`DataFrameGroupBy.sample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.sample.html#pandas.core.groupby.DataFrameGroupBy.sample)\(\[n, frac, replace, …\]\) | Return a random sample of items from each group. |
-| [`DataFrameGroupBy.shift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.shift.html#pandas.core.groupby.DataFrameGroupBy.shift)\(\[periods, freq, …\]\) | Shift each group by periods observations. |
-| [`DataFrameGroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.size.html#pandas.core.groupby.DataFrameGroupBy.size)\(\) | Compute group sizes. |
-| [`DataFrameGroupBy.skew`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.skew.html#pandas.core.groupby.DataFrameGroupBy.skew) | Return unbiased skew over requested axis. |
-| [`DataFrameGroupBy.take`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.take.html#pandas.core.groupby.DataFrameGroupBy.take) | Return the elements in the given _positional_ indices along an axis. |
-| [`DataFrameGroupBy.tshift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.tshift.html#pandas.core.groupby.DataFrameGroupBy.tshift) | \(DEPRECATED\) Shift the time index, using the index’s frequency if available. |
-
-The following methods are available only for `SeriesGroupBy` objects.
-
-| [`SeriesGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html#pandas.core.groupby.SeriesGroupBy.hist) | Draw histogram of the input series using matplotlib. |
-| :--- | :--- |
-| [`SeriesGroupBy.nlargest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.html#pandas.core.groupby.SeriesGroupBy.nlargest) | Return the largest n elements. |
-| [`SeriesGroupBy.nsmallest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.html#pandas.core.groupby.SeriesGroupBy.nsmallest) | Return the smallest n elements. |
-| [`SeriesGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nunique.html#pandas.core.groupby.SeriesGroupBy.nunique)\(\[dropna\]\) | Return number of unique elements in the group. |
-| [`SeriesGroupBy.unique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html#pandas.core.groupby.SeriesGroupBy.unique) | Return unique values of Series object. |
-| [`SeriesGroupBy.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.html#pandas.core.groupby.SeriesGroupBy.value_counts)\(\[normalize, …\]\) |  |
-| [`SeriesGroupBy.is_monotonic_increasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing) | Alias for is\_monotonic. |
-| [`SeriesGroupBy.is_monotonic_decreasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing) | Return boolean if values in the object are monotonic\_decreasing. |
-
-The following methods are available only for `DataFrameGroupBy` objects.
-
-| [`DataFrameGroupBy.corrwith`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html#pandas.core.groupby.DataFrameGroupBy.corrwith) | Compute pairwise correlation. |
-| :--- | :--- |
-| [`DataFrameGroupBy.boxplot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html#pandas.core.groupby.DataFrameGroupBy.boxplot)\(\[subplots, column, …\]\) | Make box plots from DataFrameGroupBy data. |
-
diff --git a/api-reference copy/groupby/README.md b/api-reference copy/groupby/README.md
deleted file mode 100644
index 9a1db65..0000000
--- a/api-reference copy/groupby/README.md	
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby()'
----
-
-# Groupby
-
-### Indexing, iteration
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
-
-### Function application
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.agg`](groupby.agg.md) | Aggregate using one or more operations over the specified axis. |
-
-### Computations / descriptive stats
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
-| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
-| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
-| [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
-| [`GroupBy.std`](groupby.std.md) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum) | Compute sum of group values. |
-| [`GroupBy.var`](groupby.var.md) | Compute variance of groups, excluding missing values. |
-
diff --git a/api-reference copy/groupby/groupby.agg.md b/api-reference copy/groupby/groupby.agg.md
deleted file mode 100644
index fae8802..0000000
--- a/api-reference copy/groupby/groupby.agg.md	
+++ /dev/null
@@ -1,93 +0,0 @@
----
-description: Obtain data aggregate per groups for each column
----
-
-# Groupby.agg
-
-> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
-
-| Parameters | Type   | Description                                                                                               | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
-| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
-
-**Return:** DataFrame
-
-**Examples**
-
-Using mean and sum aggregate
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Mean and Sum aggregate on dataframe groupby two column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference copy/groupby/groupby.apply.md b/api-reference copy/groupby/groupby.apply.md
deleted file mode 100644
index 2150a21..0000000
--- a/api-reference copy/groupby/groupby.apply.md	
+++ /dev/null
@@ -1,84 +0,0 @@
----
-description: Apply custom aggregate function to grouped data
----
-
-# Groupby.apply
-
-danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function \| function to be applied to grouped data | Undefined |  |
-
-**Returns:**
-
-       ****return **DataFrame**
-
-## **Examples**
-
-Using apply to create a custom function that subtract the minimum value of each grouped data from each of its values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-      'A': ['foo', 'bar', 'foo', 'bar',
-
-        'foo', 'bar', 'foo', 'foo'],
-
-      'B': ['one', 'one', 'two', 'three',
-
-        'two', 'two', 'one', 'three'],
-
-      'C': [1, 3, 2, 4, 5, 2, 6, 7],
-
-      'D': [3, 2, 4, 1, 5, 6, 7, 8]
-    };
-let df = new dfd.DataFrame(data);
-let group_df = df.groupby(["A", "B"]);
-
-const subMin = (x) => {
-  return x.sub(x.min());
-};
-
-group_df.apply(subMin).print();
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_apply           │ D_apply           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 5                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 3                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-\*\*\*\*
diff --git a/api-reference copy/groupby/groupby.col.md b/api-reference copy/groupby/groupby.col.md
deleted file mode 100644
index 02e7cdd..0000000
--- a/api-reference copy/groupby/groupby.col.md	
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: Obtain the column(s) per groups
----
-
-# Groupby.col
-
-> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| col\_names | Array | List of column |  |
-
-Returns: Groupby Data structure
-
-Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
-
-**Examples**
-
-Obtain a column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"])
-
-//for more coumns
-grp.col(["C","D"])
-```
-{% endtab %}
-{% endtabs %}
-
-Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
-
-```text
-//it returns the groupby data structure
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: {
-    foo: [ [Array], [Array], [Array], [Array], [Array] ],
-    bar: [ [Array], [Array], [Array] ]
-  },
-  data: [
-    [ 'foo', 'one', 1, 3 ],
-    [ 'bar', 'one', 3, 2 ],
-    [ 'foo', 'two', 2, 4 ],
-    [ 'bar', 'three', 4, 1 ],
-    [ 'foo', 'two', 5, 5 ],
-    [ 'bar', 'two', 2, 6 ],
-    [ 'foo', 'one', 6, 7 ],
-    [ 'foo', 'three', 7, 8 ]
-  ],
-  column_name: [ 'A', 'B', 'C', 'D' ],
-  data_tensors: {
-    foo: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    },
-    bar: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    }
-  },
-  group_col_name: [ 'C' ],
-  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
-}
-```
-
-
-
diff --git a/api-reference copy/groupby/groupby.count.md b/api-reference copy/groupby/groupby.count.md
deleted file mode 100644
index 36733be..0000000
--- a/api-reference copy/groupby/groupby.count.md	
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Count the occurrence of values in columns per groups
----
-
-# Groupby.count
-
-> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).count().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.cummax.md b/api-reference copy/groupby/groupby.cummax.md
deleted file mode 100644
index 8231a61..0000000
--- a/api-reference copy/groupby/groupby.cummax.md	
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative max per groups for each column
----
-
-# Groupby.cummax
-
-> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative max of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 4                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummax          │ D_cummax          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 4                 │ 6                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 4                 │ 6                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference copy/groupby/groupby.cummin.md b/api-reference copy/groupby/groupby.cummin.md
deleted file mode 100644
index 7fd9ed6..0000000
--- a/api-reference copy/groupby/groupby.cummin.md	
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative minimum per groups for each column
----
-
-# Groupby.cummin
-
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative min of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummin          │ D_cummin          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 2                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 2                 │ 1                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference copy/groupby/groupby.cumprod.md b/api-reference copy/groupby/groupby.cumprod.md
deleted file mode 100644
index af46123..0000000
--- a/api-reference copy/groupby/groupby.cumprod.md	
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cumulative product per group for each column
----
-
-# Groupby.cumprod
-
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative product of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                │ 420               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               │ 3360              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 24                │ 12                ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 24                │ 12                ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 21                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference copy/groupby/groupby.cumsum.md b/api-reference copy/groupby/groupby.cumsum.md
deleted file mode 100644
index 3b2b0e6..0000000
--- a/api-reference copy/groupby/groupby.cumsum.md	
+++ /dev/null
@@ -1,259 +0,0 @@
----
-description: Obtain the cumulative sum per groups for each column
----
-
-# Groupby.cumsum
-
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative sum of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                │ 19                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                │ 27                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 9                 │ 9                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 9                 │ 9                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.get_groups.md b/api-reference copy/groupby/groupby.get_groups.md
deleted file mode 100644
index 0cdf912..0000000
--- a/api-reference copy/groupby/groupby.get_groups.md	
+++ /dev/null
@@ -1,129 +0,0 @@
----
-description: Obtain the data for each element of the groupby column
----
-
-# Groupby.get\_groups
-
-> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
-
-| Parameters | Type | Description | default |
-| :--- | :--- | :--- | :--- |
-| key | Array | element of the groupby column |  |
-
-**Returns**: DataFrame
-
-**Example**
-
-Group the dataframe by column A and obtain the group belonging to the values in column A
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-
-grp.get_groups(["foo"]).print()
-
-grp.get_groups(["bar"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get groups for key "foo"
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get groups for key "bar"
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ three             │ 4                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-
-grp.get_groups(["foo","one"]).print()
-
-grp.get_groups(["bar","one"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get_groups(["foo","one"]
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get_groups(["bar","one"])
-
-
- Shape: (1,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference copy/groupby/groupby.max.md b/api-reference copy/groupby/groupby.max.md
deleted file mode 100644
index 43470f6..0000000
--- a/api-reference copy/groupby/groupby.max.md	
+++ /dev/null
@@ -1,170 +0,0 @@
----
-description: Obtain the maximum value of columns per groups
----
-
-# Groupby.max
-
-> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
-
-**Parameters:** None
-
-**Returns**: DataFrame
-
-**Example**
-
-Obtain the maximum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference copy/groupby/groupby.mean.md b/api-reference copy/groupby/groupby.mean.md
deleted file mode 100644
index add6958..0000000
--- a/api-reference copy/groupby/groupby.mean.md	
+++ /dev/null
@@ -1,173 +0,0 @@
----
-description: Obtain the mean per groups for each column(s)
----
-
-# Groupby.mean
-
-> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the mean of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 5.40000009536...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.min.md b/api-reference copy/groupby/groupby.min.md
deleted file mode 100644
index 0151e64..0000000
--- a/api-reference copy/groupby/groupby.min.md	
+++ /dev/null
@@ -1,171 +0,0 @@
----
-description: Obtain the minimum value per groups for a coumn(s)
----
-
-# Groupby.min
-
-> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the minimum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the minimum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.std.md b/api-reference copy/groupby/groupby.std.md
deleted file mode 100644
index c792a8e..0000000
--- a/api-reference copy/groupby/groupby.std.md	
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the standard deviation per groups for specified columns
----
-
-# Groupby.std
-
-> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the standard deviation of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  │ 2.07364413533...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 2.64575131106...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).std().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  │ 2.82842712474...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  │ 0.70710678118...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.sum.md b/api-reference copy/groupby/groupby.sum.md
deleted file mode 100644
index f6f2900..0000000
--- a/api-reference copy/groupby/groupby.sum.md	
+++ /dev/null
@@ -1,172 +0,0 @@
----
-description: Obtain the sum per groups for columns
----
-
-# Groupby.sum
-
-> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the sum of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/groupby/groupby.var.md b/api-reference copy/groupby/groupby.var.md
deleted file mode 100644
index 373109f..0000000
--- a/api-reference copy/groupby/groupby.var.md	
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the variance per groups for a specified column
----
-
-# Groupby.var
-
-> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               │ 4.3               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).var().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               │ 0.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference copy/input-output/README.md b/api-reference copy/input-output/README.md
deleted file mode 100644
index e86d5de..0000000
--- a/api-reference copy/input-output/README.md	
+++ /dev/null
@@ -1,18 +0,0 @@
----
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
----
-
-# Input/Output
-
-## CSV
-
-| \`\`                                |                                                          |
-| ----------------------------------- | -------------------------------------------------------- |
-| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
-| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
-| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
-| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
-| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
-
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference copy/input-output/danfo.read_csv.md b/api-reference copy/input-output/danfo.read_csv.md
deleted file mode 100644
index a291533..0000000
--- a/api-reference copy/input-output/danfo.read_csv.md	
+++ /dev/null
@@ -1,134 +0,0 @@
----
-description: >-
-  Reads a comma-separated values (CSV) file into DataFrame. Also supports the
-  reading of CSV files in chunks.
----
-
-# danfo.read\_csv
-
-> danfo.**read\_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
-
-|                |                             |                                                                                                                                                                                                                            |                                                                                                                   |
-| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
-| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                                                                           |
-| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                                                                   |
-| **configs**:   | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>dynamicTyping:</strong> true,</p><p><strong>header:</strong> true</p><p>}</p> |
-
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
-
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading files from a URL**
-
-By specifying a valid URL, you can load CSV files from any location into Danfo\*\*'\*\*s data structure:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.read_excel.md b/api-reference copy/input-output/danfo.read_excel.md
deleted file mode 100644
index 459aa30..0000000
--- a/api-reference copy/input-output/danfo.read_excel.md	
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Reads an excel file into DataFrame.
----
-
-# danfo.read_excel
-
-> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
-| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
-
-> **Returns:**
->
-> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
-
-### Example
-
-The **read_excel** method can read excel files saved on a local disk, or over the internet.
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-const path = require("path")
-
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
-
-async function load_process_data() {
-    let df = await dfd.read_excel(local_xcel)
-    df.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
-        dfd.read_excel(remote_url).then(df => {
-            df.head().print()
-        })
-
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.read_json.md b/api-reference copy/input-output/danfo.read_json.md
deleted file mode 100644
index 3c17457..0000000
--- a/api-reference copy/input-output/danfo.read_json.md	
+++ /dev/null
@@ -1,127 +0,0 @@
----
-description: Reads a JSON file into DataFrame.
----
-
-# danfo.read\_json
-
-> danfo.**read\_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
-
-|                |                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |                                                 |
-| -------------- | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
-| **Parameters** | Type                                               | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                | Default                                         |
-| _**source**_   | Input file object, string file\*\* \*\*path or URL | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p>An input file object is also supported in the browser.</p>                                                                                                                                                                                                                    |                                                 |
-| options        | Object                                             | <p>Configuration options for reading JSON files. Supported options:</p><p>{<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>}</p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
-
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
-
-### **Reading JSON files from local disk**
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/input-output/danfo.to_csv.md b/api-reference copy/input-output/danfo.to_csv.md
deleted file mode 100644
index c3403cf..0000000
--- a/api-reference copy/input-output/danfo.to_csv.md	
+++ /dev/null
@@ -1,115 +0,0 @@
----
-description: Writes a DataFrame or Series to CSV format.
----
-
-# danfo.to\_csv
-
-> danfo.**to\_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
-
-|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                    |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = dfd.to_csv(df, { download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in Client-side lib
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-const dfd = require("danfojs")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { fileName: "testOut.csv", download: true});
-```
diff --git a/api-reference copy/input-output/danfo.to_excel.md b/api-reference copy/input-output/danfo.to_excel.md
deleted file mode 100644
index 1fe1adf..0000000
--- a/api-reference copy/input-output/danfo.to_excel.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# danfo.to_excel
-
-> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in  Client-side lib
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { fileName: "testOut.xlsx"});
-```
diff --git a/api-reference copy/input-output/danfo.to_json.md b/api-reference copy/input-output/danfo.to_json.md
deleted file mode 100644
index baac615..0000000
--- a/api-reference copy/input-output/danfo.to_json.md	
+++ /dev/null
@@ -1,124 +0,0 @@
-# danfo.to\_json
-
-> danfo.**to\_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
-| -------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |                                                                 |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = dfd.to_json(df, { download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = dfd.to_json(df, {
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { fileName: "test_out.json" });
-```
diff --git a/api-reference copy/input-output/read.md b/api-reference copy/input-output/read.md
deleted file mode 100644
index c38778e..0000000
--- a/api-reference copy/input-output/read.md	
+++ /dev/null
@@ -1,138 +0,0 @@
----
-description: >-
-  The generic read function loads a tabular data using the Frictionless
-  specification.
----
-
-# read
-
-> danfo.**read**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">A path to the file/resources. It can be a local file, a URL to tabular
-        data (CSV, EXCEL) or Datahub.io Data Resource.</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>configs</b>
-      </td>
-      <td style="text-align:left">object</td>
-      <td style="text-align:left">
-        <p></p>
-        <p>Configuration options. Supported params are:</p>
-        <p><b>data_num</b> (Defaults =&gt; 0): The specific dataset to load, when
-          reading data from a datapackage.json,</p>
-        <p><b>header</b> (Defaults =&gt; true): Whether the dataset contains a header
-          or not.</p>
-        <p><b>sheet</b> (Defaults =&gt; 0): Number of the excel sheet which u want
-          to load.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
-
-**Returns:**
-
-     ****_**Promise**_. Resolves to DataFrame
-
-The **read** function uses [frictionless.js](https://github.com/frictionlessdata/frictionless-js) underhood.[`frictionless.js`](https://github.com/frictionlessdata/frictionless-js) is a lightweight, standardized "stream-plus-metadata" interface for accessing files and datasets, especially tabular ones \(CSV, Excel\). It follows the [Frictionless spec](https://frictionlessdata.io/specs/)
-
-> ### **Note**: The `read` method is only available in danfojs-node at the moment.
-
-### Read a CSV file
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let df = await dfd.read("file.csv")
-    let sample = await df.sample(10)
-    sample.print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### **Loading Files from URL**
-
-By specifying a valid URL, you can load CSV/EXCEL file:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- let df = await dfd.read("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
- df.head().print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### Loading Data from a Data Package Descriptor
-
-You can load data from a frictionless data package [descriptor](https://specs.frictionlessdata.io/data-package/#descriptor). A data package descriptor is a central file in a Data Package. It is a JSON file that provides:
-
-* General metadata such as the package’s title, license, publisher etc
-* A list of the data “resources” that make up the package including their location on disk or online and other relevant information \(including, possibly, schema information about these data resources in a structured form\)
-
-For instance, in the example below, we load the first resource in the [Natural Gas dataset](https://datahub.io/core/natural-gas) from datahub.io. 
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- const package_url =
-    "https://datahub.io/core/natural-gas/datapackage.json";
-
-  const df = await dfd.read(package_url, { data_num: 1 });
-  df.head().print();
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Date              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1997-01-07        │ 3.81999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1997-01-08        │ 3.79999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 1997-01-09        │ 3.60999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 1997-01-10        │ 3.91999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ 1997-01-13        │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference copy/plotting/README.md b/api-reference copy/plotting/README.md
deleted file mode 100644
index 93161e3..0000000
--- a/api-reference copy/plotting/README.md	
+++ /dev/null
@@ -1,19 +0,0 @@
----
-description: >-
-  DataFrame and Series have inbuilt support for plotting using Plotly's backend.
-  All customization can be done using Plotly's parameter passed to the config
-  object.
----
-
-# Plotting
-
-* [Line Charts](line-charts.md)
-* [Bar Charts](bar-charts.md)
-* [Scatter Plots](scatter-plots.md)
-* [Histograms](histograms.md)
-* [Pie Charts](pie-charts.md)
-* [Tables](tables.md)
-* [Box Plots](box-plots.md)
-* [Violin Plots](violin-plots.md)
-* [Timeseries Plots](timeseries-plots.md)
-
diff --git a/api-reference copy/plotting/bar-charts.md b/api-reference copy/plotting/bar-charts.md
deleted file mode 100644
index 6606bdc..0000000
--- a/api-reference copy/plotting/bar-charts.md	
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Makes a vertical bar plot.
----
-
-# Bar Charts
-
-A bar plot presents categorical data with rectangular bars with lengths proportional to the values that they represent.
-
-## Examples
-
-The **bar** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter.
-
-### Bar plot on Series
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (6).png>)
-
-### Bar plot on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (7).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/plotting/box-plots.md b/api-reference copy/plotting/box-plots.md
deleted file mode 100644
index 2adb60a..0000000
--- a/api-reference copy/plotting/box-plots.md	
+++ /dev/null
@@ -1,116 +0,0 @@
----
-description: Make a box plot from DataFrame columns.
----
-
-# Box Plots
-
-Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").box()
-         
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (23).png>)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").box()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").box({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (24).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/plotting/configuring-your-plots.md b/api-reference copy/plotting/configuring-your-plots.md
deleted file mode 100644
index 4cedbb2..0000000
--- a/api-reference copy/plotting/configuring-your-plots.md	
+++ /dev/null
@@ -1,68 +0,0 @@
-# Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name.
-
-For example in the following code, we show how to set some basic configuration as well as layout for a line plot.
-
-```markup
-<!doctype html>
-<html>
-
-<head>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-
-</head>
-
-<body>
-
-    <div id="mydiv"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-
-                var layout = {
-                    title: {
-                        text: "Time series plot of AAPL open and close points",
-                        x: 0
-                    },
-                    legend: {
-                        bgcolor: "#fcba03",
-                        bordercolor: "#444",
-                        borderwidth: 1,
-                        font: { family: "Arial", size: 10, color: "#fff" }
-                    },
-                    width: 1000,
-                    yaxis: {
-                        title: 'AAPL open points',
-                    },
-                    xaxis: {
-                        title: 'Date',
-                    }
-                }
-                var config = {
-                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
-                    displayModeBar: true,
-                    modeBarButtonsToAdd: [{ //Add custom button
-                        name: 'about',
-                        icon: Plotly.Icons.question,
-                        click: function (gd) {
-                            alert('An example of configuring Danfojs Plots')
-                        }
-                    }],
-                    layout //layout object
-                }
-
-                df.plot("mydiv").line(config)
-            })
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (32).png>)
diff --git a/api-reference copy/plotting/histograms.md b/api-reference copy/plotting/histograms.md
deleted file mode 100644
index adabd84..0000000
--- a/api-reference copy/plotting/histograms.md	
+++ /dev/null
@@ -1,117 +0,0 @@
----
-description: Draw one histogram of the DataFrame’s columns, or single histogram for Series
----
-
-# Histograms
-
-A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
-
-## Examples
-
-### Histogram of a Column in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df['Age'].plot("plot_div").hist()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (10).png>)
-
-### Customized Histogram plots on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                var layout = {
-                    bargap: 0,
-                    bargroupgap: 0.1,
-                    barmode: "stack",
-                    title: "Histogram of two columns stacked",
-                    xaxis: { title: "Value" },
-                    yaxis: { title: "Count" }
-                }
-
-                sub_df = df.loc({ columns: ["Fare", "Age"] })
-                sub_df.plot("plot_div").hist({layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (20).png>)
-
-### Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
-
-```javascript
-var layout = {
-    title: 'A sample plot',
-    xaxis: {
-        title: 'X',
-    },
-    yaxis: {
-        title: 'Y',
-    }
-}
-
-df.plot("div_tag").histogram({layout: layout})
-```
-
-{% hint style="info" %}
-For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
-{% endhint %}
diff --git a/api-reference copy/plotting/line-charts.md b/api-reference copy/plotting/line-charts.md
deleted file mode 100644
index 79fe4d3..0000000
--- a/api-reference copy/plotting/line-charts.md	
+++ /dev/null
@@ -1,109 +0,0 @@
----
-description: >-
-  Plot Series or DataFrame as lines. This function is useful to plot lines using
-  DataFrame’s values as coordinates.
----
-
-# Line Charts
-
-## Examples
-
-### Basic Line plot on Series
-
-The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (4).png>)
-
-### Line plots on DataFrame
-
-The example below shows the plot of column values against a common x-axis (index)
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (2).png>)
-
-The example below shows how to plot two columns in a DataFrame against each other.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line({x: 'pig', y: 'horse'})
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (3).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/plotting/pie-charts.md b/api-reference copy/plotting/pie-charts.md
deleted file mode 100644
index 6dce73d..0000000
--- a/api-reference copy/plotting/pie-charts.md	
+++ /dev/null
@@ -1,123 +0,0 @@
----
-description: Generate a pie plot.
----
-
-# Pie Charts
-
-A pie plot is a proportional representation of the numerical data in a column
-
-## Examples
-
-### Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Location: ["NG", "GH", "SA"],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-        
-        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (12).png>)
-
-### Multiple Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-        df.plot("plot_div").pie({ labels: "Type"})
-
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (21).png>)
-
-### Configure Position of Pie Charts
-
-If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-       df.plot("plot_div").pie({ labels: "Type",
-                                 grid: { rows: 2, columns: 2 },
-                                 row_pos: [0, 1], col_pos: [0, 1] })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (22).png>)
-
-{% hint style="info" %}
-For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
-{% endhint %}
diff --git a/api-reference copy/plotting/scatter-plots.md b/api-reference copy/plotting/scatter-plots.md
deleted file mode 100644
index 77649d1..0000000
--- a/api-reference copy/plotting/scatter-plots.md	
+++ /dev/null
@@ -1,88 +0,0 @@
----
-description: Create a scatter plot of columns in a DataFrame
----
-
-# Scatter Plots
-
-The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables.
-
-## Examples
-
-### Scatter Plots on Columns in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot-8- (1) (1).png>)
-
-### More Examples
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
-                sub_df.plot("plot_div").scatter()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (19).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/plotting/tables.md b/api-reference copy/plotting/tables.md
deleted file mode 100644
index c67f0e2..0000000
--- a/api-reference copy/plotting/tables.md	
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Turn DataFrame/Series in D3.js-based tables
----
-
-# Tables
-
-## Examples
-
-### Create Interactive Tables from DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").table()
-              
-              
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
-
-### Configure the header and cell of a table
-
-To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                header_style = {
-                    align: "center",
-                    fill: { color: ['gray'] },
-                    font: { family: "Arial", size: 15, color: "white" }
-                }
-                cell_style = {
-                    align: ["center"],
-                    line: { color: "black", width: 1 }
-                }
-
-                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference copy/plotting/timeseries-plots.md b/api-reference copy/plotting/timeseries-plots.md
deleted file mode 100644
index 7bbb089..0000000
--- a/api-reference copy/plotting/timeseries-plots.md	
+++ /dev/null
@@ -1,58 +0,0 @@
----
-description: Timeseries plot are based on date index
----
-
-# Timeseries Plots
-
-## Examples
-
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                var layout = {
-                    title: 'A financial charts',
-                    xaxis: {
-                        title: 'Date',
-                    },
-                    yaxis: {
-                        title: 'Count',
-                    }
-                }
-
-                new_df = df.set_index({ column: "Date" })
-                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/plotting/violin-plots.md b/api-reference copy/plotting/violin-plots.md
deleted file mode 100644
index a3e6c11..0000000
--- a/api-reference copy/plotting/violin-plots.md	
+++ /dev/null
@@ -1,112 +0,0 @@
-# Violin Plots
-
-Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also [Box Plot](box-plots.md)
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").violin()
-         
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (25).png>)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").violin()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (26).png>)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").violin({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (27).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference copy/series/README.md b/api-reference copy/series/README.md
deleted file mode 100644
index 421bc63..0000000
--- a/api-reference copy/series/README.md	
+++ /dev/null
@@ -1,182 +0,0 @@
----
-description: One-dimensional ndarray with axis labels (including time series).
----
-
-# Series
-
-> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ], **index:** \[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
-
-### Attributes
-
-| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
-| --------------------------------- | ------------------------------------------- |
-
-| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
-| ----------------------------------- | ---------------------------------------------------------------- |
-| [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
-| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
-| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
-| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
-| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
-
-### Conversion
-
-| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
-| --------------------------------------------------- | ---------------------------------------------- |
-| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
-
-### Indexing, iteration
-
-|                                                         |                                                                    |
-| ------------------------------------------------------- | ------------------------------------------------------------------ |
-| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
-| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
-
-### Binary operator functions
-
-| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
-| --------------------------------- | --------------------------------------------------------------------------------------- |
-| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
-| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
-| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
-| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
-| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
-| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
-| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
-| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
-| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
-| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
-| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
-| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
-| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
-
-### Function application & GroupBy
-
-| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
-| --------------------------------- | ------------------------------------------------------- |
-| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
-
-### Computations / descriptive stats
-
-| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
-| ----------------------------------------------------------- | ---------------------------------------------------------------- |
-| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
-| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
-| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
-| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
-| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
-| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
-| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
-| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
-| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
-| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
-| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
-| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
-| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
-| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
-| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
-| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
-| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
-| [`Series.value_counts`](series.value\_counts.md)            | Return a Series containing counts of unique values.              |
-
-### Reindexing / selection / label manipulation
-
-|                                                        |                                                          |
-| ------------------------------------------------------ | -------------------------------------------------------- |
-| [`Series.drop_duplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
-| [`Series.head`](series.head.md)                        | Return the first n rows.                                 |
-| [`Series.reset_index`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md)                    | Return a random sample of items from an axis of object.  |
-| [`Series.tail`](series.tail.md)                        | Return the last n rows.                                  |
-
-### Missing data handling
-
-|                                       |                                                  |
-| ------------------------------------- | ------------------------------------------------ |
-| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
-| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
-| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
-| [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value.  |
-
-### Reshaping, sorting
-
-| [`Series.argsort`](series.argsort.md)          | Return the integer indices that would sort the Series values. |
-| ---------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.argmin`](series.argmin.md)            | Return int position of the smallest value in the Series.      |
-| [`Series.argmax`](series.argmax.md)            | Return int position of the largest value in the Series.       |
-| [`Series.sort_values`](series.sort\_values.md) | Sort by the values.                                           |
-
-### Accessors
-
-Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
-
-| Data Type | Accessor |
-| --------- | -------- |
-| Datetime  | dt       |
-| String    | str      |
-
-#### Datetimelike properties
-
-`Series.dt` can be used to access the values of the series as datetime and return several properties. These can be accessed like `Series.dt.<property>`.
-
-**Datetime methods**
-
-|                                                    |                                                                    |
-| -------------------------------------------------- | ------------------------------------------------------------------ |
-| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                          |
-| [`Series.dt.month`](series.dt.month.md)            | The month as January=1, December=12.                               |
-| [`Series.dt.day`](series.dt.day.md)                | The day of the datetime.                                           |
-| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                         |
-| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                       |
-| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                       |
-| [`Series.dt.weekdays`](series.dt.weekdays.md)      | The day of the week with Monday=0, Sunday=6.                       |
-| [`Series.dt.month_name`](series.dt.month\_name.md) | Return the month names of the DateTimeIndex with specified locale. |
-
-#### String handling
-
-`Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
-
-| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
-| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
-| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
-| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
-| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
-| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
-| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
-| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
-| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
-| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
-| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
-| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
-| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
-| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
-| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
-| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
-| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
-| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
-| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
-| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
-| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                       |                                                               |
-| ----------------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
-| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                                        |                                                      |
-| ------------------------------------------------------ | ---------------------------------------------------- |
-| [`Series.to_csv`](../dataframe/dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`Series.to_json`](../dataframe/dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference copy/series/creating-a-series.md b/api-reference copy/series/creating-a-series.md
deleted file mode 100644
index 3c8e4ba..0000000
--- a/api-reference copy/series/creating-a-series.md	
+++ /dev/null
@@ -1,210 +0,0 @@
-# Creating a Series
-
-new danfo.**Series**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
-
-### Creating a Series from an object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```javascript
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series from an array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = ["bval1", "bval2", "bval3", "bval4"]
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series and specifying index and dtypes
-
-You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
-
-> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2, 3, 4, 5];
-let index = ["a", "b", "c", "d", "e"];
-let dtypes = ["int32",]
-
-let df = new Series(data1, { index, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╚═══╧═══╝
-```
-
-### Creating a Series and specifying memory mode
-
-To use less space on Series creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2.3, 3, 4, 5, "girl"];
-
-let df = new Series(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the Series.
-{% endhint %}
-
diff --git a/api-reference copy/series/danfo.series.add.md b/api-reference copy/series/danfo.series.add.md
deleted file mode 100644
index 7cd6150..0000000
--- a/api-reference copy/series/danfo.series.add.md	
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: 'Return Addition of series and other, element-wise (binary operator add).'
----
-
-# danfo.Series.add
-
-Return Addition of series and other, element-wise \(binary operator add\).
-
-            **parameter:** {other} Series or Number to add
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let data2 = [30, 40, 39, 1, 2, 1]
-let sf = new Series(data)
-let sf2 = new Series(data2)
-sf.add(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.apply.md b/api-reference copy/series/danfo.series.apply.md
deleted file mode 100644
index d59a99c..0000000
--- a/api-reference copy/series/danfo.series.apply.md	
+++ /dev/null
@@ -1,63 +0,0 @@
----
-description: invoke a function on Series Value
----
-
-# danfo.Series.apply
-
-> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function | Function \(can be anonymous\) to apply |  |
-
-**Returns:**
-
-       ****return **Series**
-
-\*\*\*\*
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply1.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_apply2.png)
-
-
-
diff --git a/api-reference copy/series/danfo.series.copy.md b/api-reference copy/series/danfo.series.copy.md
deleted file mode 100644
index c610c04..0000000
--- a/api-reference copy/series/danfo.series.copy.md	
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.copy
-
-Make a new copy of Series
-
-
-
-**parameter:** 
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf_copy = sf.copy()
-
-
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf = sf.set_index({ "index": ["a", "b", "c", "d"] })
-sf_copy = sf.copy()
-```
-
diff --git a/api-reference copy/series/danfo.series.count.md b/api-reference copy/series/danfo.series.count.md
deleted file mode 100644
index 50a5789..0000000
--- a/api-reference copy/series/danfo.series.count.md	
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.count
-
-Return number of non-NA/null observations in the Series.
-
-This is equivalent to the method numpy.sum
-
-            **parameter:** 
-
-            **return:** {Number}, sum of values in Series
-
-**Example**
-
-```javascript
-let data = ["boy", "gitl", "woman", NaN]
-let sf = new Series(data)
-sf.count()
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.describe.md b/api-reference copy/series/danfo.series.describe.md
deleted file mode 100644
index 184dbe9..0000000
--- a/api-reference copy/series/danfo.series.describe.md	
+++ /dev/null
@@ -1,26 +0,0 @@
-# danfo.Series.describe
-
-
-
-Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three"] })
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-df.reset_index()
-```
-
diff --git a/api-reference copy/series/danfo.series.div.md b/api-reference copy/series/danfo.series.div.md
deleted file mode 100644
index ae2731b..0000000
--- a/api-reference copy/series/danfo.series.div.md	
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# danfo.Series.div
-
-Return division of series and other, element-wise \(binary operator div\).
-
-Equivalent to series / other
-
-            **parameter:** {other} Series, Number to divide with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.div(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.head.md b/api-reference copy/series/danfo.series.head.md
deleted file mode 100644
index 1bc9d5e..0000000
--- a/api-reference copy/series/danfo.series.head.md	
+++ /dev/null
@@ -1,25 +0,0 @@
----
-description: This function returns the first n rows for the object based on position.
----
-
-# danfo.Series.head
-
-
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let cols = ["A"]
-let sf = new Series(data, { columns: cols })
-sf.head()
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.map.md b/api-reference copy/series/danfo.series.map.md
deleted file mode 100644
index 9d7cad4..0000000
--- a/api-reference copy/series/danfo.series.map.md	
+++ /dev/null
@@ -1,42 +0,0 @@
----
-description: Map the value of a series to it representation
----
-
-# danfo.Series.map
-
-> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
-
-| Parameter | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function or Object | callable can either be a function or an object\({}\) |  |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map)
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map1.png)
-
diff --git a/api-reference copy/series/danfo.series.max.md b/api-reference copy/series/danfo.series.max.md
deleted file mode 100644
index cac4ba1..0000000
--- a/api-reference copy/series/danfo.series.max.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.max
-
diff --git a/api-reference copy/series/danfo.series.maximum.md b/api-reference copy/series/danfo.series.maximum.md
deleted file mode 100644
index 9082120..0000000
--- a/api-reference copy/series/danfo.series.maximum.md	
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.maximum
-
-Return maximum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check maximum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.maximum(sf2)
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.mean.md b/api-reference copy/series/danfo.series.mean.md
deleted file mode 100644
index 6ace487..0000000
--- a/api-reference copy/series/danfo.series.mean.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mean
-
diff --git a/api-reference copy/series/danfo.series.median.md b/api-reference copy/series/danfo.series.median.md
deleted file mode 100644
index 077c0ec..0000000
--- a/api-reference copy/series/danfo.series.median.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.median
-
diff --git a/api-reference copy/series/danfo.series.min.md b/api-reference copy/series/danfo.series.min.md
deleted file mode 100644
index 22f3589..0000000
--- a/api-reference copy/series/danfo.series.min.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.min
-
diff --git a/api-reference copy/series/danfo.series.minimum.md b/api-reference copy/series/danfo.series.minimum.md
deleted file mode 100644
index 2a9d9c6..0000000
--- a/api-reference copy/series/danfo.series.minimum.md	
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.minimum
-
-
-
-Return minimum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check minimum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.minimum(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.mod.md b/api-reference copy/series/danfo.series.mod.md
deleted file mode 100644
index 577014d..0000000
--- a/api-reference copy/series/danfo.series.mod.md	
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Modulo of series and other, element-wise (binary operator mod).'
----
-
-# danfo.Series.mod
-
-Return Modulo of series and other, element-wise \(binary operator mod\).
-
-Equivalent to series % other
-
-            **parameter:** {other} Series, Number
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mod(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.mode.md b/api-reference copy/series/danfo.series.mode.md
deleted file mode 100644
index 8d86e6e..0000000
--- a/api-reference copy/series/danfo.series.mode.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mode
-
diff --git a/api-reference copy/series/danfo.series.mul.md b/api-reference copy/series/danfo.series.mul.md
deleted file mode 100644
index 6cdac92..0000000
--- a/api-reference copy/series/danfo.series.mul.md	
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
----
-
-# danfo.Series.mul
-
-Return Multiplication of series and other, element-wise \(binary operator mul\).
-
-Equivalent to series \* other, but with support to substitute a fill\_value for missing data in one of the inputs.
-
-            **parameter:** {Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mul(sf2)
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.pow.md b/api-reference copy/series/danfo.series.pow.md
deleted file mode 100644
index 291a993..0000000
--- a/api-reference copy/series/danfo.series.pow.md	
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# danfo.Series.pow
-
-Return Exponential power of series and other, element-wise \(binary operator pow\).
-
-Equivalent to series \*\* other
-
-            **parameter:** {other} Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.pow(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.reset_index.md b/api-reference copy/series/danfo.series.reset_index.md
deleted file mode 100644
index 7a908a9..0000000
--- a/api-reference copy/series/danfo.series.reset_index.md	
+++ /dev/null
@@ -1,31 +0,0 @@
-# danfo.Series.reset\_index
-
-
-
-Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
-
-
-
-**parameter:** {kwargs} {inplace: Modify the Series in place \(do not create a new object, drop: Just reset the index, without inserting it as a column in the new DataFrame.}
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-let df_reset = df_new.reset_index()
-df_reset.print()
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-let df_new = df.reset_index()
-df_new 
-```
-
diff --git a/api-reference copy/series/danfo.series.round.md b/api-reference copy/series/danfo.series.round.md
deleted file mode 100644
index 2bbacbb..0000000
--- a/api-reference copy/series/danfo.series.round.md	
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.round
-
-Round each value in a Series to the given number of decimals.
-
-
-
- **parameter:** {dp} Number, Numbers of Decimal places to round to
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf = new Series(data1)
-sf.round(1)
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.sample.md b/api-reference copy/series/danfo.series.sample.md
deleted file mode 100644
index fa8f326..0000000
--- a/api-reference copy/series/danfo.series.sample.md	
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# danfo.Series.sample
-
-Gets \[num\] number of random rows in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.sample(2)
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.set_index.md b/api-reference copy/series/danfo.series.set_index.md
deleted file mode 100644
index 5cb3d28..0000000
--- a/api-reference copy/series/danfo.series.set_index.md	
+++ /dev/null
@@ -1,40 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# danfo.Series.set\_index
-
-> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object {} | The object contains the key **index** and assigned an array value of equal length to the Series. format {"index": \[Array\] } |   |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series.reset_index.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["H", "L", "M","F","T"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_reset_index2.png)
-
diff --git a/api-reference copy/series/danfo.series.sort_values.md b/api-reference copy/series/danfo.series.sort_values.md
deleted file mode 100644
index 0a0c4e7..0000000
--- a/api-reference copy/series/danfo.series.sort_values.md	
+++ /dev/null
@@ -1,27 +0,0 @@
-# danfo.Series.sort\_values
-
-
-
-Sort a Series in ascending or descending order by some criterion.
-
-
-
- **parameter:** {kwargs} Object, {ascending \(Bool\): Whether to return sorted values in ascending order or not, inplace \(Bool\): Whether to perform sorting on the original Series or not}
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values()
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "inplace": true })
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "ascending": false, "inplace": true })
-```
-
diff --git a/api-reference copy/series/danfo.series.std.md b/api-reference copy/series/danfo.series.std.md
deleted file mode 100644
index 8f48ef2..0000000
--- a/api-reference copy/series/danfo.series.std.md	
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.std
-
-Return sample standard deviation over requested axis.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.std()
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.sub.md b/api-reference copy/series/danfo.series.sub.md
deleted file mode 100644
index 8867c14..0000000
--- a/api-reference copy/series/danfo.series.sub.md	
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
----
-
-# danfo.Series.sub
-
-Returns the subtraction between a series and other, element-wise \(binary operator subtraction\).
-
-Equivalent to series - other
-
-            **parameter:** {other} Series, Number to subtract
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 39, 1, 2, 1]
-let data2 = [1, 2, 3, 4, 5, 6]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.sub(sf2)
-```
-
diff --git a/api-reference copy/series/danfo.series.sum-1.md b/api-reference copy/series/danfo.series.sum-1.md
deleted file mode 100644
index 6ec14cb..0000000
--- a/api-reference copy/series/danfo.series.sum-1.md	
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.sum
-
-Return the sum of the values for the requested axis.
-
-This is equivalent to the method numpy.sum.
-
-            **parameter:** 
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.sum()
-```
-
diff --git a/api-reference copy/series/danfo.series.tail.md b/api-reference copy/series/danfo.series.tail.md
deleted file mode 100644
index e83307d..0000000
--- a/api-reference copy/series/danfo.series.tail.md	
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# danfo.Series.tail
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.tail()
-```
-
-
-
diff --git a/api-reference copy/series/danfo.series.tostring.md b/api-reference copy/series/danfo.series.tostring.md
deleted file mode 100644
index 5807850..0000000
--- a/api-reference copy/series/danfo.series.tostring.md	
+++ /dev/null
@@ -1,18 +0,0 @@
-# danfo.Series.toString
-
-
-
-Prints the data in a Series as a grid of row and columns
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-
-```
-
diff --git a/api-reference copy/series/danfo.series.var.md b/api-reference copy/series/danfo.series.var.md
deleted file mode 100644
index 822edc7..0000000
--- a/api-reference copy/series/danfo.series.var.md	
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.var
-
-
-
-Return unbiased variance of Series.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.var()
-```
-
diff --git a/api-reference copy/series/series.abs.md b/api-reference copy/series/series.abs.md
deleted file mode 100644
index 843dd5e..0000000
--- a/api-reference copy/series/series.abs.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Returns the absolute value in a Series
----
-
-# Series.abs
-
-> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
-
-| Parameters | Type   | Description                                                                                          | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [-10, 45, 56, -25, 23, -20, 10]
-let sf = new dfd.Series(data1)
-
-sf.abs().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.add.md b/api-reference copy/series/series.add.md
deleted file mode 100644
index e55b1b8..0000000
--- a/api-reference copy/series/series.add.md	
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Addition of series and other, element-wise (binary operator add).
----
-
-# Series.add
-
-> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.add(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 31                   ║
-╟───┼──────────────────────╢
-║ 1 │ 42                   ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.add(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 5                    ║
-╟───┼──────────────────────╢
-║ 3 │ 6                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.and.md b/api-reference copy/series/series.and.md
deleted file mode 100644
index 85c22cb..0000000
--- a/api-reference copy/series/series.and.md	
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical AND between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.and
-
-> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical AND between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.and(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ false ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.append.md b/api-reference copy/series/series.append.md
deleted file mode 100644
index 53e8f03..0000000
--- a/api-reference copy/series/series.append.md	
+++ /dev/null
@@ -1,135 +0,0 @@
----
-description: Add a new value or values to the end of a Series.
----
-
-# Series.append
-
-danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
-
-| Parameters | Type          | Description                                                                                                                | Default |
-| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
-| newValue   | Array, Series | Object to append                                                                                                           |         |
-| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
-| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-****
-
-### **Append new Series to the end of a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-
-new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
-new_sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Append new Series to the end of a Series in-place**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-let newIndex = ["f5", "f6", "f7"]
-
-sf1.append(sf2, newIndex, { inplace: true })
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-
-### **Append an array to the end of Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sfArr = ["a", "b", "c"]
-
-new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
-new_sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.apply.md b/api-reference copy/series/series.apply.md
deleted file mode 100644
index 7f7050e..0000000
--- a/api-reference copy/series/series.apply.md	
+++ /dev/null
@@ -1,149 +0,0 @@
----
-description: Invoke a function on each value in a Series.
----
-
-# Series.apply
-
-> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
-
-| Parameters | Type     | Description                                                                                    | Default                               |
-| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
-| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-****
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╟───┼──────────────────────╢
-║ 5 │ 12                   ║
-╟───┼──────────────────────╢
-║ 6 │ 14                   ║
-╟───┼──────────────────────╢
-║ 7 │ 16                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0.6931471805599453   ║
-╟───┼──────────────────────╢
-║ 2 │ 1.0986122886681096   ║
-╟───┼──────────────────────╢
-║ 3 │ 1.3862943611198906   ║
-╟───┼──────────────────────╢
-║ 4 │ 1.6094379124341003   ║
-╟───┼──────────────────────╢
-║ 5 │ 1.791759469228055    ║
-╟───┼──────────────────────╢
-║ 6 │ 1.9459101490553132   ║
-╟───┼──────────────────────╢
-║ 7 │ 2.0794415416798357   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ rice                 ║
-╟───┼──────────────────────╢
-║ 1 │ beans                ║
-╟───┼──────────────────────╢
-║ 2 │ yam                  ║
-╟───┼──────────────────────╢
-║ 3 │ banana               ║
-╟───┼──────────────────────╢
-║ 4 │ wheat                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.argmax.md b/api-reference copy/series/series.argmax.md
deleted file mode 100644
index d7927d2..0000000
--- a/api-reference copy/series/series.argmax.md	
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the largest value in the series
----
-
-# Series.argmax
-
-> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmax()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-7
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.argmin.md b/api-reference copy/series/series.argmin.md
deleted file mode 100644
index dfc661f..0000000
--- a/api-reference copy/series/series.argmin.md	
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the smallest value in the series
----
-
-# Series.argmin
-
-> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmin()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-0
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.argsort.md b/api-reference copy/series/series.argsort.md
deleted file mode 100644
index b4608a4..0000000
--- a/api-reference copy/series/series.argsort.md	
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Return the integer indices that would sort the Series values
----
-
-# Series.argsort
-
-> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
-
-| Parameters | Type   | Description                            | Default                                               |
-| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
-| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
-
-**Returns:** Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [10, 45, 20, 10, 23, 20, 30, 11]
-let sf = new dfd.Series(data)
-
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 7                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 6                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-//sorted in descending order
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 6 ║
-╟───┼───╢
-║ 2 │ 4 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╟───┼───╢
-║ 6 │ 0 ║
-╟───┼───╢
-║ 7 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.astype.md b/api-reference copy/series/series.astype.md
deleted file mode 100644
index 15a61ae..0000000
--- a/api-reference copy/series/series.astype.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.astype
-
diff --git a/api-reference copy/series/series.copy.md b/api-reference copy/series/series.copy.md
deleted file mode 100644
index 9bbdb47..0000000
--- a/api-reference copy/series/series.copy.md	
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Makes a deep copy of a Series
----
-
-# Series.copy
-
-> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
-
-**parameter:** 
-
-**Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.copy()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21091             ║
-╟───┼──────────────────────╢
-║ 1 │ 40.190901            ║
-╟───┼──────────────────────╢
-║ 2 │ 3.564                ║
-╟───┼──────────────────────╢
-║ 3 │ 5.0212               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.corr.md b/api-reference copy/series/series.corr.md
deleted file mode 100644
index ee3263f..0000000
--- a/api-reference copy/series/series.corr.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.corr
-
diff --git a/api-reference copy/series/series.count.md b/api-reference copy/series/series.count.md
deleted file mode 100644
index 832c794..0000000
--- a/api-reference copy/series/series.count.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the total number of values in a series
----
-
-# Series.count
-
-> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.count())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.cummax.md b/api-reference copy/series/series.cummax.md
deleted file mode 100644
index 8aded1a..0000000
--- a/api-reference copy/series/series.cummax.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns cumulative maximum over a series
----
-
-# Series.cummax
-
-> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummax().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 56                   ║
-╟───┼──────────────────────╢
-║ 5 │ 56                   ║
-╟───┼──────────────────────╢
-║ 6 │ 56                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.cummin.md b/api-reference copy/series/series.cummin.md
deleted file mode 100644
index 736cee5..0000000
--- a/api-reference copy/series/series.cummin.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns the cumulative min of a Series
----
-
-# Series.cummin
-
-> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 5, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummin().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ 10                   ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 5                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.cumprod.md b/api-reference copy/series/series.cumprod.md
deleted file mode 100644
index 84ec0e7..0000000
--- a/api-reference copy/series/series.cumprod.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Return the cumulative product of a series
----
-
-# Series.cumprod
-
-> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumprod().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 450                  ║
-╟───┼──────────────────────╢
-║ 2 │ 25200                ║
-╟───┼──────────────────────╢
-║ 3 │ 630000               ║
-╟───┼──────────────────────╢
-║ 4 │ 14490000             ║
-╟───┼──────────────────────╢
-║ 5 │ 289800000            ║
-╟───┼──────────────────────╢
-║ 6 │ 2898000000           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.cumsum.md b/api-reference copy/series/series.cumsum.md
deleted file mode 100644
index 7b7a19a..0000000
--- a/api-reference copy/series/series.cumsum.md	
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a cumulative sum of a series
----
-
-# Series.cumsum
-
-> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumsum().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/dist/index.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-      //danfo is exposed on dfd namespace 
-      s = new dfd.Series([1,2,3,4,5]) 
-
-    </script>
-
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 55                   ║
-╟───┼──────────────────────╢
-║ 2 │ 111                  ║
-╟───┼──────────────────────╢
-║ 3 │ 136                  ║
-╟───┼──────────────────────╢
-║ 4 │ 159                  ║
-╟───┼──────────────────────╢
-║ 5 │ 179                  ║
-╟───┼──────────────────────╢
-║ 6 │ 189                  ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference copy/series/series.describe.md b/api-reference copy/series/series.describe.md
deleted file mode 100644
index ce52246..0000000
--- a/api-reference copy/series/series.describe.md	
+++ /dev/null
@@ -1,57 +0,0 @@
----
-description: >-
-  Generate descriptive statistics. Descriptive statistics include those that
-  summarize the central tendency, dispersion and shape of a dataset’s
-  distribution, excluding NaN values
----
-
-# Series.describe
-
-> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
-
-**Parameters:** No parameter
-
-**return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
-sf.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔══════════╤══════════════════════╗
-║          │ 0                    ║
-╟──────────┼──────────────────────╢
-║ count    │ 6                    ║
-╟──────────┼──────────────────────╢
-║ mean     │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ std      │ 1.8708286933869707   ║
-╟──────────┼──────────────────────╢
-║ min      │ 1                    ║
-╟──────────┼──────────────────────╢
-║ median   │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ max      │ 6                    ║
-╟──────────┼──────────────────────╢
-║ variance │ 3.5                  ║
-╚══════════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.div.md b/api-reference copy/series/series.div.md
deleted file mode 100644
index 656a796..0000000
--- a/api-reference copy/series/series.div.md	
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# Series.div
-
-> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-divide with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.div(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 20                   ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1.25                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### divide with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.div(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.5                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1.5                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dot.md b/api-reference copy/series/series.dot.md
deleted file mode 100644
index 61a8bc2..0000000
--- a/api-reference copy/series/series.dot.md	
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.dot
-
diff --git a/api-reference copy/series/series.drop_duplicates.md b/api-reference copy/series/series.drop_duplicates.md
deleted file mode 100644
index 08edf09..0000000
--- a/api-reference copy/series/series.drop_duplicates.md	
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Remove duplicate rows
----
-
-# Series.drop\_duplicates
-
-> danfo.Series.**drop\_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
-| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Examples**
-
-### Drop duplicate by keeping the first occurrence of the duplicate value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates()
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop duplicate and keep only the last duplicated value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates({keep:"last"})
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Remove duplicate value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
-let sf = new dfd.Series(data1)
-sf.drop_duplicates({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ A                    ║
-╟───┼──────────────────────╢
-║ 3 │ B                    ║
-╟───┼──────────────────────╢
-║ 5 │ C                    ║
-╟───┼──────────────────────╢
-║ 7 │ D                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dropna.md b/api-reference copy/series/series.dropna.md
deleted file mode 100644
index 2fab716..0000000
--- a/api-reference copy/series/series.dropna.md	
+++ /dev/null
@@ -1,91 +0,0 @@
----
-description: Remove missing values from Series
----
-
-# Series.dropna
-
-> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
-
-| Parameters | Type   | Description                                                                                    | Default                             |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Drop all nan value and then return New Series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.dropna()
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop nan values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-sf.dropna({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.day.md b/api-reference copy/series/series.dt.day.md
deleted file mode 100644
index 6461fa5..0000000
--- a/api-reference copy/series/series.dt.day.md	
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the numerical representation of the week day.
----
-
-# Series.dt.day
-
-> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
-let sf = new dfd.Series(data)
-
-sf.dt.day().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═══╗
-║ 0 │ 6 ║
-╟───┼───╢
-║ 1 │ 0 ║
-╟───┼───╢
-║ 2 │ 1 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 4 ║
-╟───┼───╢
-║ 6 │ 5 ║
-╟───┼───╢
-║ 7 │ 6 ║
-╟───┼───╢
-║ 8 │ 0 ║
-╟───┼───╢
-║ 9 │ 1 ║
-╚═══╧═══╝
-```
diff --git a/api-reference copy/series/series.dt.hour.md b/api-reference copy/series/series.dt.hour.md
deleted file mode 100644
index 16369bb..0000000
--- a/api-reference copy/series/series.dt.hour.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the hours in a time series
----
-
-# Series.dt.hour
-
-> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
-
-**Parameters:** None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
-let sf = new dfd.Series(data)
-// print series
-sf.print()
-// print hour series
-sf.dt.hours().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 2:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.minute.md b/api-reference copy/series/series.dt.minute.md
deleted file mode 100644
index ea8bfee..0000000
--- a/api-reference copy/series/series.dt.minute.md	
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the minutes in a Time Series
----
-
-# Series.dt.minutes
-
-> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
-
-**Parameters**: None
-
-**Returns:** Series (int Elements)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
-let sf = new dfd.Series(data)
-//print the series
-sf.print()
-//print the minutes series
-sf.dt.minutes().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:01:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:02:00 AM ║
-╚═══╧══════════════════════╝
-
-//print the minutes series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.month.md b/api-reference copy/series/series.dt.month.md
deleted file mode 100644
index e21eeda..0000000
--- a/api-reference copy/series/series.dt.month.md	
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: Obtain the month in a date time series
----
-
-# Series.dt.month
-
-> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
-let sf = new dfd.Series(data)
-
-sf.dt.month().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 0 │ 6  ║
-╟───┼────╢
-║ 1 │ 7  ║
-╟───┼────╢
-║ 2 │ 9  ║
-╟───┼────╢
-║ 3 │ 9  ║
-╟───┼────╢
-║ 4 │ 11 ║
-╟───┼────╢
-║ 5 │ 11 ║
-╚═══╧════╝
-```
diff --git a/api-reference copy/series/series.dt.month_name.md b/api-reference copy/series/series.dt.month_name.md
deleted file mode 100644
index 4e83618..0000000
--- a/api-reference copy/series/series.dt.month_name.md	
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: obtain the month name in a Time Series
----
-
-# Series.dt.month\_name
-
-> danfo.Series.dt.month\_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
-
-**Parameters**: None
-
-**Returns:** Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print month names
-sf.dt.month_name().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 2/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 3/1/2018, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═════╗
-║ 0 │ Jan ║
-╟───┼─────╢
-║ 1 │ Feb ║
-╟───┼─────╢
-║ 2 │ Mar ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.monthday.md b/api-reference copy/series/series.dt.monthday.md
deleted file mode 100644
index b385f17..0000000
--- a/api-reference copy/series/series.dt.monthday.md	
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the day of the month
----
-
-# Series.dt.monthday
-
-> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
-
-**Parameters:** None
-
-**Returns**: Series (Int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print monthdays
-sf.dt.monthday().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/2/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/3/2000, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.second.md b/api-reference copy/series/series.dt.second.md
deleted file mode 100644
index 43330be..0000000
--- a/api-reference copy/series/series.dt.second.md	
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the seconds in Date series
----
-
-# Series.dt.seconds
-
-> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
-
-**Parameters**: None
-
-**Returns:** Series (Int elements)
-
-**Example**
-
-Obtain the seconds of the datetime
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
-let sf = new dfd.Series(data)
-//print the series frame
-sf.print()
-
-//print the seconds obtained
-sf.dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:00:01 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:00:02 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 0 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.dt.weekdays.md b/api-reference copy/series/series.dt.weekdays.md
deleted file mode 100644
index 04dbe18..0000000
--- a/api-reference copy/series/series.dt.weekdays.md	
+++ /dev/null
@@ -1,79 +0,0 @@
----
-description: Obtain the days of the weeks
----
-
-# Series.dt.weekdays
-
-> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
-
-**Parameters**: None
-
-**Returns:** Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print days of the week
-sf.dt.weekdays().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════════════════════════╗
-║ 0 │ 12/31/2016, 1:00:00 AM ║
-╟───┼────────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 9 │ 1/9/2017, 1:00:00 AM   ║
-╚═══╧════════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
-```
diff --git a/api-reference copy/series/series.dt.year.md b/api-reference copy/series/series.dt.year.md
deleted file mode 100644
index ed1117f..0000000
--- a/api-reference copy/series/series.dt.year.md	
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Obtain the year in a date time series
----
-
-# Series.dt.year
-
-> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
-let sf = new dfd.Series(data)
-sf.print()
-sf.dt.year().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-//print date time series
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2001, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2002, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ 2000 ║
-╟───┼──────╢
-║ 1 │ 2001 ║
-╟───┼──────╢
-║ 2 │ 2002 ║
-╚═══╧══════╝
-```
diff --git a/api-reference copy/series/series.dtype.md b/api-reference copy/series/series.dtype.md
deleted file mode 100644
index 75b4614..0000000
--- a/api-reference copy/series/series.dtype.md	
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dtype of a series
----
-
-# Series.dtype
-
-> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
-
-**Parameters**: None
-
-**Returns:** String
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.dtype)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.eq.md b/api-reference copy/series/series.eq.md
deleted file mode 100644
index 43a3ece..0000000
--- a/api-reference copy/series/series.eq.md	
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check all the values in a series is equal to another value
----
-
-# Series.eq
-
-> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Examples**
-
-Compare all the values in a series to another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.eq(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check it all the values are equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.eq(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.fillna.md b/api-reference copy/series/series.fillna.md
deleted file mode 100644
index a1db3a8..0000000
--- a/api-reference copy/series/series.fillna.md	
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Replace all NaN value with specified value
----
-
-# Series.fillna
-
-> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
-
-| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Examples**
-
-### Fill nan value and then return new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-
-let sf_rep = sf.fillna({ value: -999})
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill nan value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-sf.fillna({ value: -999, inplace: true })
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.ge.md b/api-reference copy/series/series.ge.md
deleted file mode 100644
index 0fb1aeb..0000000
--- a/api-reference copy/series/series.ge.md	
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the values in a series is greater than or equal a value
----
-
-# Series.ge
-
-> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns:** Series (Boolean element)
-
-**Example**
-
-Compare all the value in a Series to the values in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ge(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check if all the value in a Series is greater than or equal a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ge(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.gt.md b/api-reference copy/series/series.gt.md
deleted file mode 100644
index 184ca28..0000000
--- a/api-reference copy/series/series.gt.md	
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the value in a series is greater than a value
----
-
-# Series.gt
-
-> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are greater than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.gt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are greater than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.gt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.head.md b/api-reference copy/series/series.head.md
deleted file mode 100644
index 2892263..0000000
--- a/api-reference copy/series/series.head.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Obtain the first n rows for the object based on position.
----
-
-# Series.head
-
-> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of first n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.head().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference copy/series/series.iloc.md b/api-reference copy/series/series.iloc.md
deleted file mode 100644
index ab7d1f3..0000000
--- a/api-reference copy/series/series.iloc.md	
+++ /dev/null
@@ -1,158 +0,0 @@
-# Series.iloc
-
-danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `"1:7"`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc([0,5]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["0:5"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2.2                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By specifying a start index in a slice, all values after that index are returned.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["5:"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╟───┼──────────────────────╢
-║ 6 │ 2.1                  ║
-╟───┼──────────────────────╢
-║ 7 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference copy/series/series.index.md b/api-reference copy/series/series.index.md
deleted file mode 100644
index 1cc95da..0000000
--- a/api-reference copy/series/series.index.md	
+++ /dev/null
@@ -1,33 +0,0 @@
----
-description: Obtain the index of a Series
----
-
-# Series.index
-
-> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
-
-**Returns**: Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.index)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 0, 1, 2, 3 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.isna.md b/api-reference copy/series/series.isna.md
deleted file mode 100644
index cdf6343..0000000
--- a/api-reference copy/series/series.isna.md	
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Detect Missing values
----
-
-# Series.isna
-
-> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
-
-**Parameters**: None
-
-**Returns**:  Series \(Boolean element\)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, undefined, "girl", "Man"]
-let sf = new dfd.Series(data1)
-
-sf.isna().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.le.md b/api-reference copy/series/series.le.md
deleted file mode 100644
index 44006e2..0000000
--- a/api-reference copy/series/series.le.md	
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all the values in a series is less than or equal to a value
----
-
-# Series.le
-
-> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns:** Series (Boolean Element)
-
-**Example**
-
-Check if all the values in a series is less than or equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.le(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than equal to values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.le(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.loc.md b/api-reference copy/series/series.loc.md
deleted file mode 100644
index 13772ab..0000000
--- a/api-reference copy/series/series.loc.md	
+++ /dev/null
@@ -1,198 +0,0 @@
----
-description: Access a group of rows by label(s) or a boolean array.
----
-
-# Series.loc
-
-danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-`.loc()` is  label position based (from `0` to `length-1` of the row axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Indexing by specific row index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc(["a", "g"]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╟───┼─────╢
-║ e │ 30  ║
-╟───┼─────╢
-║ f │ 30  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╟───┼─────╢
-║ h │ 7   ║
-╚═══╧═════╝
-
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc([`"a":"e"`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-`s.loc([a:e]).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-`s.loc(["a":"e"]).print()`\
-\
-_**Inner quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### By specifying a start index in a slice, all values after that index are returned.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-let s = new dfd.Series(data)
-
-s.loc([`1:`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 1 │ 34  ║
-╟───┼─────╢
-║ 2 │ 2.2 ║
-╟───┼─────╢
-║ 3 │ 2   ║
-╟───┼─────╢
-║ 4 │ 30  ║
-╟───┼─────╢
-║ 5 │ 30  ║
-╟───┼─────╢
-║ 6 │ 2.1 ║
-╟───┼─────╢
-║ 7 │ 7   ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.loc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference copy/series/series.lt.md b/api-reference copy/series/series.lt.md
deleted file mode 100644
index 7af18bc..0000000
--- a/api-reference copy/series/series.lt.md	
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all values in a Series are less than a value.
----
-
-# Series.lt
-
-> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are less than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.lt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.lt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.map.md b/api-reference copy/series/series.map.md
deleted file mode 100644
index 0e0850a..0000000
--- a/api-reference copy/series/series.map.md	
+++ /dev/null
@@ -1,92 +0,0 @@
----
-description: Map the value of a series to a function or Object
----
-
-# Series.map
-
-> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
-
-| Parameter | Type               | Description                                                                                    | Default                               |
-| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable  | Function or Object | A function or object({})                                                                       |                                       |
-| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Example**
-
-Mapping the element in a Series  words in an Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ ok                   ║
-╟───┼──────────────────────╢
-║ 1 │ okie                 ║
-╟───┼──────────────────────╢
-║ 2 │ frit                 ║
-╟───┼──────────────────────╢
-║ 3 │ gop                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Mapping values in a Series to a representation using functions.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ I have 1 cat(s)      ║
-╟───┼──────────────────────╢
-║ 1 │ I have 2 cat(s)      ║
-╟───┼──────────────────────╢
-║ 2 │ I have 3 cat(s)      ║
-╟───┼──────────────────────╢
-║ 3 │ I have 4 cat(s)      ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.max.md b/api-reference copy/series/series.max.md
deleted file mode 100644
index 4f7193a..0000000
--- a/api-reference copy/series/series.max.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the maximum value in a Series
----
-
-# Series.max
-
-> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.max())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-89
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.maximum.md b/api-reference copy/series/series.maximum.md
deleted file mode 100644
index afc5a48..0000000
--- a/api-reference copy/series/series.maximum.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Obtain the maximum number between two series
----
-
-# Series.maximum
-
-> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.maximum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 41                   ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference copy/series/series.mean.md b/api-reference copy/series/series.mean.md
deleted file mode 100644
index 17d97e6..0000000
--- a/api-reference copy/series/series.mean.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the mean of a series
----
-
-# Series.mean
-
-> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mean())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-23.000001907348633
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.median.md b/api-reference copy/series/series.median.md
deleted file mode 100644
index d1cde75..0000000
--- a/api-reference copy/series/series.median.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the median of a series
----
-
-# Series.median
-
-> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.median())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-4
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.min.md b/api-reference copy/series/series.min.md
deleted file mode 100644
index 6e11a67..0000000
--- a/api-reference copy/series/series.min.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the minimum value in a series
----
-
-# Series.min
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.min())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-0
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.minimum.md b/api-reference copy/series/series.minimum.md
deleted file mode 100644
index a06ba69..0000000
--- a/api-reference copy/series/series.minimum.md	
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: Obtain the minimum value between two series (element wise)
----
-
-# Series.minimum
-
-> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.minimum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 40                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.mod.md b/api-reference copy/series/series.mod.md
deleted file mode 100644
index fdf0555..0000000
--- a/api-reference copy/series/series.mod.md	
+++ /dev/null
@@ -1,85 +0,0 @@
----
-description: Return Modulo of series and other, element-wise (binary operator mod).
----
-
-# Series.mod
-
-> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
-
-| Parameters | Type               | Description                                                                                    | Default                               |
-| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\|float | values                                                                                         |                                       |
-| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Modulus with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mod(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.8999999761581421   ║
-╟───┼──────────────────────╢
-║ 1 │ 1.3999993801116943   ║
-╟───┼──────────────────────╢
-║ 2 │ 0.7000000476837158   ║
-╟───┼──────────────────────╢
-║ 3 │ 0.19999980926513672  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Modulo with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mod(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.mode.md b/api-reference copy/series/series.mode.md
deleted file mode 100644
index 6077686..0000000
--- a/api-reference copy/series/series.mode.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the center value in a series
----
-
-# Series.mode
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mode())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 4 ]
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.mul.md b/api-reference copy/series/series.mul.md
deleted file mode 100644
index d5d33de..0000000
--- a/api-reference copy/series/series.mul.md	
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Multiplication of series and other, element-wise (binary operator mul).
----
-
-# Series.mul
-
-> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-multiplication with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mul(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 80                   ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-multiply with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mul(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.ndim.md b/api-reference copy/series/series.ndim.md
deleted file mode 100644
index 8623e80..0000000
--- a/api-reference copy/series/series.ndim.md	
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dimension of a series
----
-
-# Series.ndim
-
-> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
-
-**Parameters:** None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.ndim)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-1
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.ne.md b/api-reference copy/series/series.ne.md
deleted file mode 100644
index 16cf1dc..0000000
--- a/api-reference copy/series/series.ne.md	
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all values in a  series is not equal to a value(s)
----
-
-# Series.ne
-
-> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-Compare all the values in a series to that in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ne(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Compare all the values in a Series to a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ne(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.nunique.md b/api-reference copy/series/series.nunique.md
deleted file mode 100644
index 092a2eb..0000000
--- a/api-reference copy/series/series.nunique.md	
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Returns the number of unique values in a series
----
-
-# Series.nunique
-
-> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters**: None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-console.log(sf.nunique())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Ouptut" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.or.md b/api-reference copy/series/series.or.md
deleted file mode 100644
index 948c61d..0000000
--- a/api-reference copy/series/series.or.md	
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical OR between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.or
-
-> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical OR between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.or(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.pow.md b/api-reference copy/series/series.pow.md
deleted file mode 100644
index 2fbe542..0000000
--- a/api-reference copy/series/series.pow.md	
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# Series.pow
-
-> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Exponential power with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.pow(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 9                    ║
-╟───┼──────────────────────╢
-║ 2 │ 64                   ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Exponential value with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.pow(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 16                   ║
-╟───┼──────────────────────╢
-║ 4 │ 25                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.replace.md b/api-reference copy/series/series.replace.md
deleted file mode 100644
index 8a1f48b..0000000
--- a/api-reference copy/series/series.replace.md	
+++ /dev/null
@@ -1,89 +0,0 @@
----
-description: Replace values given in replace param with value
----
-
-# Series.replace
-
-> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Replace a value in a series and return a new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Replace a value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
diff --git a/api-reference copy/series/series.reset_index.md b/api-reference copy/series/series.reset_index.md
deleted file mode 100644
index c51497a..0000000
--- a/api-reference copy/series/series.reset_index.md	
+++ /dev/null
@@ -1,113 +0,0 @@
----
-description: Reset the index of a series.
----
-
-# Series.reset\_index
-
-> danfo.series.reset\_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
-
-| Parameters | Type   | Description                                                                                         | Default          |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
-
-**Returns :** Series
-
-`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
-
-### **Reset index to default values**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [20, 30, 40]
-let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
-sf.print()
-
-let sf_reset = sf.reset_index()
-sf_reset.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ a │ 20 ║
-╟───┼────╢
-║ b │ 30 ║
-╟───┼────╢
-║ c │ 40 ║
-╚═══╧════╝
-
-╔═══╤════╗
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 2 │ 40 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Reset index to new values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
-sf.print()
-
-sf.reset_index({ inplace: true })
-sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╟───┼───╢
-║ f │ 6 ║
-╚═══╧═══╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 4 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 6 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.round.md b/api-reference copy/series/series.round.md
deleted file mode 100644
index b6f0d82..0000000
--- a/api-reference copy/series/series.round.md	
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: round off floating values in series
----
-
-# Series.round
-
-> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
-
-| Parameters | Type   | Description                                                                                    | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| dp         | int    | decimal place to round off to                                                                  |                                       |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-sf1.round(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21                ║
-╟───┼──────────────────────╢
-║ 1 │ 40.19                ║
-╟───┼──────────────────────╢
-║ 2 │ 3.56                 ║
-╟───┼──────────────────────╢
-║ 3 │ 5.02                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.sample.md b/api-reference copy/series/series.sample.md
deleted file mode 100644
index a28298d..0000000
--- a/api-reference copy/series/series.sample.md	
+++ /dev/null
@@ -1,65 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# Series.sample
-
-> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
-
-| Parameters | Type   | Description                                                                                                                                  | Default                        |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
-| num        | Int    | The number of rows to return.                                                                                                                |                                |
-| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **{Promies} resolves to Series**
-
-**Example**
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-  let sf1 = new dfd.Series(data1);
-  let sample = await sf1.sample(5)
-  sample.print()
-  
-}
-load_data()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤════╗
-║ 2 │ 3  ║
-╟───┼────╢
-║ 4 │ 5  ║
-╟───┼────╢
-║ 0 │ 1  ║
-╟───┼────╢
-║ 7 │ 40 ║
-╟───┼────╢
-║ 6 │ 30 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Specify a seed when sampling
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-    let sf1 = new dfd.Series(data1);
-    let sample = await sf1.sample(5, { seed: 2 })
-    sample.print()
-
-}
-load_data()
-
-```
diff --git a/api-reference copy/series/series.set_index.md b/api-reference copy/series/series.set_index.md
deleted file mode 100644
index 3de352f..0000000
--- a/api-reference copy/series/series.set_index.md	
+++ /dev/null
@@ -1,136 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# Series.set\_index
-
-> danfo.series.**set\_index(**options**)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
-
-| Parameter | Type   | Description                                                                                    | Default                               |
-| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| index     | Array  | new index values                                                                               |                                       |
-| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let sf = new dfd.Series(data)
-sf.print()
-
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════════════════════════╗
-║ 0 │ {"alpha":"A","count":1} ║
-╟───┼─────────────────────────╢
-║ 1 │ {"alpha":"B","count":2} ║
-╟───┼─────────────────────────╢
-║ 2 │ {"alpha":"C","count":3} ║
-╚═══╧═════════════════════════╝
-
-╔═══════╤═════════════════════════╗
-║ one   │ {"alpha":"A","count":1} ║
-╟───────┼─────────────────────────╢
-║ two   │ {"alpha":"B","count":2} ║
-╟───────┼─────────────────────────╢
-║ three │ {"alpha":"C","count":3} ║
-╚═══════╧═════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ H │ Humans               ║
-╟───┼──────────────────────╢
-║ L │ Life                 ║
-╟───┼──────────────────────╢
-║ M │ Meaning              ║
-╟───┼──────────────────────╢
-║ F │ Fact                 ║
-╟───┼──────────────────────╢
-║ T │ Truth                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Set index in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data)
-sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
-sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤═══╗
-║ one   │ 1 ║
-╟───────┼───╢
-║ two   │ 2 ║
-╟───────┼───╢
-║ three │ 3 ║
-╟───────┼───╢
-║ four  │ 4 ║
-╟───────┼───╢
-║ five  │ 5 ║
-╟───────┼───╢
-║ six   │ 6 ║
-╚═══════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.shape.md b/api-reference copy/series/series.shape.md
deleted file mode 100644
index 9eb5031..0000000
--- a/api-reference copy/series/series.shape.md	
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the shape of a Series
----
-
-# Series.shape
-
-> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
-
-**Parameters**: None
-
-**Returns**:  Array \[int, int\]
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.shape)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 4, 1 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.size.md b/api-reference copy/series/series.size.md
deleted file mode 100644
index 9665b65..0000000
--- a/api-reference copy/series/series.size.md	
+++ /dev/null
@@ -1,37 +0,0 @@
----
-description: Obtain the size of a series
----
-
-# Series.size
-
-> danfo.Series.size  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\]
-
-**Parameters**: None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.size)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-4
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference copy/series/series.sort_values.md b/api-reference copy/series/series.sort_values.md
deleted file mode 100644
index 5c7e5fa..0000000
--- a/api-reference copy/series/series.sort_values.md	
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Sorts a Series in ascending or descending order
----
-
-# Series.sort_values
-
-> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
-| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
-
-  **Return:** Series
-
-### Sort values in a Series 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.sort_values()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Sort Series in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ inplace: true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-Sort Series values in descending order
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "ascending": false, "inplace": true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 6 │ 89 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 7 │ 0  ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.std.md b/api-reference copy/series/series.std.md
deleted file mode 100644
index aa05018..0000000
--- a/api-reference copy/series/series.std.md	
+++ /dev/null
@@ -1,37 +0,0 @@
----
-description: Obtain the standard deviation for a series
----
-
-# Series.std
-
-> danfo.Series.std()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.std())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-31.11671576500322
-```
-{% endtab %}
-{% endtabs %}
-
-&#x20;****&#x20;
-
diff --git a/api-reference copy/series/series.str.capitalize.md b/api-reference copy/series/series.str.capitalize.md
deleted file mode 100644
index aea9e91..0000000
--- a/api-reference copy/series/series.str.capitalize.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Capitalize the first character of each string
----
-
-# Series.str.capitalize
-
-> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert  the first character of a string to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'capitals', 'sentence', 'swApCaSe']
-let sf = new dfd.Series(data)
-sf.str.capitalize().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ Capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ Sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ Swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.charat.md b/api-reference copy/series/series.str.charat.md
deleted file mode 100644
index 931bb48..0000000
--- a/api-reference copy/series/series.str.charat.md	
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Obtain the character at the specified index (position)
----
-
-# Series.str.charAt
-
-> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| index      | int    | the index at which to obtain the character                      | 0                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (Character element)
-
-**Example**
-
-Obtain the character at index 2 of all string elements in the series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.charAt(2).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ w                    ║
-╟───┼──────────────────────╢
-║ 1 │ P                    ║
-╟───┼──────────────────────╢
-║ 2 │ n                    ║
-╟───┼──────────────────────╢
-║ 3 │ A                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.concat.md b/api-reference copy/series/series.str.concat.md
deleted file mode 100644
index e3abe54..0000000
--- a/api-reference copy/series/series.str.concat.md	
+++ /dev/null
@@ -1,165 +0,0 @@
----
-description: Joins two or more strings/arrays
----
-
-# Series.str.concat
-
-> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
-
-| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
-| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
-| position   | Int             | The position to add the **other** (string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
-| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series (String element)
-
-**Examples**
-
-Add the strings from an Array to the start of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ XXlower boy          ║
-╟───┼──────────────────────╢
-║ 1 │ YYCAPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ BBsentence           ║
-╟───┼──────────────────────╢
-║ 3 │ 01SwApCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add the strings from an Array to the end of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boyXX          ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSYY           ║
-╟───┼──────────────────────╢
-║ 2 │ sentenceBB           ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSe01           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the start of each string element in a Series
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("pre",0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ prelower boy         ║
-╟───┼──────────────────────╢
-║ 1 │ preCAPITALS          ║
-╟───┼──────────────────────╢
-║ 2 │ presentence          ║
-╟───┼──────────────────────╢
-║ 3 │ preSwApCaSe          ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the end of each string element in a series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("post",1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boypost        ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSpost         ║
-╟───┼──────────────────────╢
-║ 2 │ sentencepost         ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSepost         ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference copy/series/series.str.endswith.md b/api-reference copy/series/series.str.endswith.md
deleted file mode 100644
index 2fb44cc..0000000
--- a/api-reference copy/series/series.str.endswith.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string ends with specified characters
----
-
-# Series.str.endsWith
-
-> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.endsWith("e").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.includes.md b/api-reference copy/series/series.str.includes.md
deleted file mode 100644
index 8918773..0000000
--- a/api-reference copy/series/series.str.includes.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string contains the specified string/characters
----
-
-# Series.str.includes
-
-> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.includes("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.indexof.md b/api-reference copy/series/series.str.indexof.md
deleted file mode 100644
index 1d9e64f..0000000
--- a/api-reference copy/series/series.str.indexof.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: the position of the first found occurrence of a specified value in a string
----
-
-# Series.str.indexOf
-
-> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to obtain its index                                  | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.indexOf("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.join.md b/api-reference copy/series/series.str.join.md
deleted file mode 100644
index 5bb77fe..0000000
--- a/api-reference copy/series/series.str.join.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Join a new string value to all string elements in a Series.
----
-
-# Series.str.join
-
-> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| valToJoin  | String | the string value you want to                                    |  ""                                                    |
-| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;  ****   return **Series**
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.join("new", "_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════════════════════════╗
-║ 0 │ lower part_new         ║
-╟───┼────────────────────────╢
-║ 1 │ CAPITALS city_new      ║
-╟───┼────────────────────────╢
-║ 2 │ this is a sentence_new ║
-╟───┼────────────────────────╢
-║ 3 │ SwAp CaSe_new          ║
-╚═══╧════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.lastindexof.md b/api-reference copy/series/series.str.lastindexof.md
deleted file mode 100644
index 889a1f4..0000000
--- a/api-reference copy/series/series.str.lastindexof.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Obtain the position of the last found occurrence of a specified value in a
-  string
----
-
-# Series.str.lastIndexOf
-
-danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.lastIndexOf("r").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.str.len.md b/api-reference copy/series/series.str.len.md
deleted file mode 100644
index 0ef06b2..0000000
--- a/api-reference copy/series/series.str.len.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the length of each string element in a Series
----
-
-# Series.str.len
-
-> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Examples**
-
-Returns the length (number of character) of a string, and also return the length (number of elements) of Array
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["dog", 5,"cat","fog","mug","animals"]
-let sf = new dfd.Series(data)
-sf.str.len().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.repeat.md b/api-reference copy/series/series.str.repeat.md
deleted file mode 100644
index 703be26..0000000
--- a/api-reference copy/series/series.str.repeat.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Repeat the the character(s) in a string for a specified number of time
----
-
-# Series.str.repeat
-
-> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
-
-| Parameters | Type    | Description                                                     | Default                                                |
-| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
-| num        | integer | the string to search for                                        | 1                                                      |
-| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**  Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['a', 'b', 'c', 'd']
-let sf = new dfd.Series(data)
-sf.str.repeat(4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ aaaa                 ║
-╟───┼──────────────────────╢
-║ 1 │ bbbb                 ║
-╟───┼──────────────────────╢
-║ 2 │ cccc                 ║
-╟───┼──────────────────────╢
-║ 3 │ dddd                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.replace.md b/api-reference copy/series/series.str.replace.md
deleted file mode 100644
index 2b06b1f..0000000
--- a/api-reference copy/series/series.str.replace.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Replace a word or character(s) in a String element
----
-
-# Series.str.replace
-
-> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]   &#x20;
-
-| Parameters   | Type   | Description                                                     | Default                                                |
-| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
-| replaceValue | String | string to replace the searched string                           | ""                                                     |
-| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.replace("A", "XXX").print()
-```
-{% endtab %}
-
-{% tab title="Browse" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower                ║
-╟───┼──────────────────────╢
-║ 1 │ CXXXPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwXXXpCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.search.md b/api-reference copy/series/series.str.search.md
deleted file mode 100644
index 99fc428..0000000
--- a/api-reference copy/series/series.str.search.md	
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Obtain the index position of a searched  character in a String
----
-
-# Series.str.search
-
-> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
-
-
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | String | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;    ****     return Series: Series of index position
-
-**Example**
-
-obtain the index position for a character
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 8                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Obtain the index position for a searched word
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower city ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("city").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.slice.md b/api-reference copy/series/series.str.slice.md
deleted file mode 100644
index cef7a86..0000000
--- a/api-reference copy/series/series.str.slice.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.slice
-
-> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20; ****  return Series.
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.slice(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.split.md b/api-reference copy/series/series.str.split.md
deleted file mode 100644
index 006795d..0000000
--- a/api-reference copy/series/series.str.split.md	
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: >-
-  Split string around a given separator/delimiter. The array of strings are then
-  converted to a string.
----
-
-# Series.str.split
-
-> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
-
-| Parameters | Type   | Description                                                | Default                         |
-| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
-| splitVal   | String | separator or delimiter used to split the string            | " "                             |
-| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
-
-**Returns**
-
-&#x20;                     return **Series**
-
-**Examples**
-
-Split the string value in the Series by space and obtain the Series values
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king of the music","the lamba queen","I love the hat"]
-let sf = new dfd.Series(data)
-console.log(sf.str.split().values)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king_of_the_music","the_lamba_queen","I_love_the_hat"]
-let sf = new dfd.Series(data)
-sf.str.split("_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ king,of,the,music    ║
-╟───┼──────────────────────╢
-║ 1 │ the,lamba,queen      ║
-╟───┼──────────────────────╢
-║ 2 │ I,love,the,hat       ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.startswith.md b/api-reference copy/series/series.str.startswith.md
deleted file mode 100644
index 835809e..0000000
--- a/api-reference copy/series/series.str.startswith.md	
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Test whether a string begins with specified characters
----
-
-# Series.str.startsWith
-
-> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**  Series (Boolean element)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.startsWith("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.substr.md b/api-reference copy/series/series.str.substr.md
deleted file mode 100644
index 0a391bb..0000000
--- a/api-reference copy/series/series.str.substr.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: >-
-  Obtain the substring from a String element in a Series, by specifying the
-  number of string to obtain starting from a specific index.
----
-
-# Series.str.substr
-
-> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;     ****      return Series
-
-**Example**
-
-Obtain substring( containing 4 characters) starting from the third character (2nd index).
-
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substr(2, 4).print()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ wer                  ║
-╟───┼──────────────────────╢
-║ 1 │ APIT                 ║
-╟───┼──────────────────────╢
-║ 2 │ his                  ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp                 ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.substring.md b/api-reference copy/series/series.str.substring.md
deleted file mode 100644
index b54702e..0000000
--- a/api-reference copy/series/series.str.substring.md	
+++ /dev/null
@@ -1,56 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.substring
-
-> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**
-
-&#x20;    ****     return **Series**
-
-**Example**
-
-Obtain the substring from index 2 to index 4 of the string elements in a Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substring(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.tolowercase.md b/api-reference copy/series/series.str.tolowercase.md
deleted file mode 100644
index 9abe0f5..0000000
--- a/api-reference copy/series/series.str.tolowercase.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Converts all characters to lower case.
----
-
-# Series.str.toLowerCase
-
-> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-Convert all characters in each string element to small letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['LOWER BOY', 'CAPITALS', 'SENTENCE', 'SWAPCASE']
-let sf = new dfd.Series(data)
-sf.str.toLowerCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.touppercase.md b/api-reference copy/series/series.str.touppercase.md
deleted file mode 100644
index f484390..0000000
--- a/api-reference copy/series/series.str.touppercase.md	
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Converts all characters to uppercase.
----
-
-# Series.str.toUpperCase
-
-> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert all characters in each string element to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.toUpperCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ LOWER BOY            ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS             ║
-╟───┼──────────────────────╢
-║ 2 │ SENTENCE             ║
-╟───┼──────────────────────╢
-║ 3 │ SWAPCASE             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.str.trim.md b/api-reference copy/series/series.str.trim.md
deleted file mode 100644
index 58b7b16..0000000
--- a/api-reference copy/series/series.str.trim.md	
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Remove leading and trailing Whitespace from a String element
----
-
-# Series.str.trim
-
-> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;        ****         return Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.trim().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part           ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city        ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe            ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.sub.md b/api-reference copy/series/series.sub.md
deleted file mode 100644
index e281d06..0000000
--- a/api-reference copy/series/series.sub.md	
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Subtraction of series and other, element-wise (binary operator sub).
----
-
-# Series.sub
-
-> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.sub(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 29                   ║
-╟───┼──────────────────────╢
-║ 1 │ 38                   ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.sub(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.sum.md b/api-reference copy/series/series.sum.md
deleted file mode 100644
index fabcba7..0000000
--- a/api-reference copy/series/series.sum.md	
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# Series.sum
-
-> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.sum())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-207
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference copy/series/series.tail.md b/api-reference copy/series/series.tail.md
deleted file mode 100644
index 7f986a1..0000000
--- a/api-reference copy/series/series.tail.md	
+++ /dev/null
@@ -1,49 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# Series.tail
-
-> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of last n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 6  │ 30                   ║
-╟────┼──────────────────────╢
-║ 7  │ 40                   ║
-╟────┼──────────────────────╢
-║ 8  │ 39                   ║
-╟────┼──────────────────────╢
-║ 9  │ 89                   ║
-╟────┼──────────────────────╢
-║ 10 │ 78                   ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.tensor.md b/api-reference copy/series/series.tensor.md
deleted file mode 100644
index a5c112c..0000000
--- a/api-reference copy/series/series.tensor.md	
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: Obtain the tensor representation of the values in a Series
----
-
-# Series.tensor
-
-> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
-
-**Parameters**: None
-
-**Returns**: Tensorflow tensor
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.tensor)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 4 ],
-  dtype: 'float32',
-  size: 4,
-  strides: [],
-  dataId: {},
-  id: 2,
-  rankType: '1',
-  scopeId: 0
-}
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.unique.md b/api-reference copy/series/series.unique.md
deleted file mode 100644
index c89d187..0000000
--- a/api-reference copy/series/series.unique.md	
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the unique value in a Series
----
-
-# Series.unique
-
-> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
-
-**Parameters**: None
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.unique().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╟───┼──────────────────────╢
-║ 6 │ 7                    ║
-╟───┼──────────────────────╢
-║ 7 │ 8                    ║
-╟───┼──────────────────────╢
-║ 8 │ 22                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.value_counts.md b/api-reference copy/series/series.value_counts.md
deleted file mode 100644
index 338064f..0000000
--- a/api-reference copy/series/series.value_counts.md	
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Count the number of occurrence for each element in a Series
----
-
-# Series.value\_counts
-
-> danfo.Series.value\_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters:** None
-
-**Returns:** Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.value_counts().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 1  │ 3                    ║
-╟────┼──────────────────────╢
-║ 2  │ 1                    ║
-╟────┼──────────────────────╢
-║ 3  │ 1                    ║
-╟────┼──────────────────────╢
-║ 4  │ 1                    ║
-╟────┼──────────────────────╢
-║ 5  │ 4                    ║
-╟────┼──────────────────────╢
-║ 6  │ 1                    ║
-╟────┼──────────────────────╢
-║ 7  │ 1                    ║
-╟────┼──────────────────────╢
-║ 8  │ 2                    ║
-╟────┼──────────────────────╢
-║ 22 │ 1                    ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference copy/series/series.values.md b/api-reference copy/series/series.values.md
deleted file mode 100644
index 4857487..0000000
--- a/api-reference copy/series/series.values.md	
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the values in a series
----
-
-# Series.values
-
-> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
-
-**Parameters:** None
-
-**Returns**:  Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.values)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 30.21091, 40.190901, 3.564, 5.0212 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference copy/series/series.var.md b/api-reference copy/series/series.var.md
deleted file mode 100644
index 4fdcbc2..0000000
--- a/api-reference copy/series/series.var.md	
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Calculate the variance  of a Series
----
-
-# Series.var
-
-> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.var())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-968.25
-```
-{% endtab %}
-{% endtabs %}
-

From 558b3f4f15e3c0d7192e75846cdc57c8c8c30050 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Jan 2022 15:21:54 +0000
Subject: [PATCH 160/202] GitBook: [#213] Update doc guide for new TS version

---
 README.md                                     |  13 +-
 SUMMARY.md                                    | 105 ++--
 api-reference/README.md                       |  13 +-
 api-reference/configuration-options.md        |  14 +-
 api-reference/dataframe/README.md             |  74 ++-
 .../dataframe/creating-a-dataframe.md         |  69 +--
 .../dataframe/danfo.dataframe.abs.md          |   6 +-
 .../dataframe/danfo.dataframe.add.md          |  24 +-
 .../dataframe/danfo.dataframe.addcolumn.md    |  39 +-
 .../dataframe/danfo.dataframe.apply.md        |  28 +-
 .../dataframe/danfo.dataframe.column.md       |  10 +-
 .../dataframe/danfo.dataframe.copy.md         |  11 +-
 .../dataframe/danfo.dataframe.count.md        |  43 +-
 .../dataframe/danfo.dataframe.cummax.md       |  26 +-
 .../dataframe/danfo.dataframe.cummin.md       |  28 +-
 .../dataframe/danfo.dataframe.cumprod.md      |  72 ++-
 .../dataframe/danfo.dataframe.cumsum.md       |  20 +-
 .../dataframe/danfo.dataframe.describe.md     |   9 +-
 .../dataframe/danfo.dataframe.div.md          |  31 +-
 .../dataframe/danfo.dataframe.dropna.md       |  84 +--
 api-reference/dataframe/danfo.dataframe.eq.md |  13 +-
 .../dataframe/danfo.dataframe.fillna.md       |  82 ++-
 api-reference/dataframe/danfo.dataframe.ge.md |  16 +-
 .../dataframe/danfo.dataframe.groupby.md      |  51 +-
 api-reference/dataframe/danfo.dataframe.gt.md |  28 +-
 .../dataframe/danfo.dataframe.head.md         |   7 +-
 .../dataframe/danfo.dataframe.iloc.md         |  23 +-
 .../dataframe/danfo.dataframe.isna.md         |  17 +-
 api-reference/dataframe/danfo.dataframe.it.md |  27 +-
 api-reference/dataframe/danfo.dataframe.le.md |  15 +-
 .../dataframe/danfo.dataframe.loc.md          |  31 +-
 .../dataframe/danfo.dataframe.max.md          |  59 +-
 .../dataframe/danfo.dataframe.mean.md         |  71 ++-
 .../dataframe/danfo.dataframe.median.md       | 106 ++--
 .../dataframe/danfo.dataframe.min.md          |  57 +-
 .../dataframe/danfo.dataframe.mod.md          |  27 +-
 .../dataframe/danfo.dataframe.mul.md          |  28 +-
 api-reference/dataframe/danfo.dataframe.ne.md |  16 +-
 .../dataframe/danfo.dataframe.pow.md          |  27 +-
 .../dataframe/danfo.dataframe.query.md        | 170 ++----
 .../dataframe/danfo.dataframe.replace.md      |  22 +-
 .../dataframe/danfo.dataframe.round.md        |  10 +-
 .../dataframe/danfo.dataframe.sample.md       |  43 +-
 .../dataframe/danfo.dataframe.std.md          |  31 +-
 .../dataframe/danfo.dataframe.sub.md          |  28 +-
 .../dataframe/danfo.dataframe.sum.md          |  42 +-
 .../dataframe/danfo.dataframe.tail.md         |   7 +-
 .../dataframe/danfo.dataframe.var.md          |  91 +--
 api-reference/dataframe/dataframe.append.md   |  21 +-
 .../dataframe/dataframe.apply_map.md          |  12 +-
 api-reference/dataframe/dataframe.astype.md   |  64 +--
 api-reference/dataframe/dataframe.axes.md     |  12 +-
 api-reference/dataframe/dataframe.drop.md     |  14 +-
 api-reference/dataframe/dataframe.dtypes.md   |  11 +-
 api-reference/dataframe/dataframe.index.md    |   6 +-
 api-reference/dataframe/dataframe.ndim.md     |  11 +-
 .../dataframe/dataframe.nunique-1.md          |  51 +-
 api-reference/dataframe/dataframe.print.md    |  22 +-
 api-reference/dataframe/dataframe.rename.md   |  56 +-
 .../dataframe/dataframe.reset_index.md        |  20 +-
 .../dataframe/dataframe.select_dtypes.md      |  22 +-
 .../dataframe/dataframe.set_index.md          |  20 +-
 api-reference/dataframe/dataframe.shape.md    |   7 +-
 .../dataframe/dataframe.sort_index.md         |  16 +-
 .../dataframe/dataframe.sort_values.md        |  30 +-
 api-reference/dataframe/dataframe.tensor.md   |  27 +-
 api-reference/dataframe/dataframe.to_csv.md   |  27 +-
 api-reference/dataframe/dataframe.to_excel.md |  18 +-
 api-reference/dataframe/dataframe.to_json.md  |  28 +-
 api-reference/dataframe/dataframe.values.md   |   9 +-
 api-reference/general-functions/README.md     |  44 +-
 .../danfo.-convertfunctiontotransformer.md    | 103 ++++
 .../general-functions/danfo.concat.md         |  28 +-
 .../general-functions/danfo.date_range.md     |  21 +-
 api-reference/general-functions/danfo.dt.md   |  49 ++
 .../general-functions/danfo.get_dummies.md    |  23 +-
 .../general-functions/danfo.labelencoder.md   |  84 +--
 .../general-functions/danfo.merge.md          |  24 +-
 .../general-functions/danfo.minmaxscaler.md   |  10 +-
 .../general-functions/danfo.onehotencoder.md  | 126 +----
 .../general-functions/danfo.standardscaler.md |  99 ++--
 api-reference/general-functions/danfo.str.md  |  67 +++
 .../general-functions/danfo.streamcsv.md      | 104 ++++
 .../danfo.streamcsvtransformer.md             | 181 ++++++
 .../general-functions/danfo.streamjson.md     | 101 ++++
 .../general-functions/danfo.tensorflow.md     |  70 +++
 .../general-functions/danfo.to_datetime.md    | 209 ++++---
 .../general-functions/danfo.utils.md          |  25 +
 api-reference/input-output/danfo.read_csv.md  |  28 +-
 .../input-output/danfo.read_excel.md          |  61 ++-
 api-reference/input-output/danfo.read_json.md |  18 +-
 api-reference/input-output/danfo.to_csv.md    |  24 +-
 api-reference/input-output/danfo.to_excel.md  |  26 +-
 api-reference/input-output/danfo.to_json.md   |  17 +-
 api-reference/plotting/bar-charts.md          |  10 +-
 api-reference/plotting/box-plots.md           | 231 ++++++--
 .../plotting/configuring-your-plots.md        | 182 ++++--
 api-reference/plotting/histograms.md          | 179 ++++--
 api-reference/plotting/line-charts.md         |  25 +-
 api-reference/plotting/pie-charts.md          | 109 ++--
 api-reference/plotting/scatter-plots.md       |  38 +-
 api-reference/plotting/tables.md              | 212 +++++--
 api-reference/plotting/timeseries-plots.md    | 121 ++--
 api-reference/plotting/violin-plots.md        | 163 +++++-
 api-reference/series/README.md                | 111 ++--
 api-reference/series/creating-a-series.md     |  54 +-
 api-reference/series/series.abs.md            |  40 +-
 api-reference/series/series.add.md            |   3 +-
 api-reference/series/series.and.md            |  17 +-
 api-reference/series/series.append.md         |  12 +-
 api-reference/series/series.apply.md          | 103 ++--
 api-reference/series/series.argmax.md         |   9 +-
 api-reference/series/series.argmin.md         |   9 +-
 api-reference/series/series.argsort.md        |  52 +-
 api-reference/series/series.copy.md           |   4 +-
 api-reference/series/series.count.md          |   6 +-
 api-reference/series/series.cummax.md         |  44 +-
 api-reference/series/series.cummin.md         |  44 +-
 api-reference/series/series.cumprod.md        |  44 +-
 api-reference/series/series.cumsum.md         |  44 +-
 api-reference/series/series.describe.md       |  34 +-
 api-reference/series/series.div.md            |   2 +-
 .../series/series.drop_duplicates.md          |  84 ++-
 api-reference/series/series.dropna.md         |  78 ++-
 api-reference/series/series.dt.day.md         |  34 +-
 api-reference/series/series.dt.hour.md        |   7 +-
 api-reference/series/series.dt.minute.md      |   4 +-
 api-reference/series/series.dt.month.md       |   4 +-
 api-reference/series/series.dt.month_name.md  |   6 +-
 api-reference/series/series.dt.monthday.md    |   8 +-
 api-reference/series/series.dt.second.md      |   6 +-
 api-reference/series/series.dt.weekdays.md    |  50 +-
 api-reference/series/series.dt.year.md        |   4 +-
 api-reference/series/series.eq.md             |  72 ++-
 api-reference/series/series.fillna.md         | 107 ++--
 api-reference/series/series.ge.md             |  70 ++-
 api-reference/series/series.gt.md             |  66 ++-
 api-reference/series/series.head.md           |  15 +-
 api-reference/series/series.iloc.md           |  76 ++-
 api-reference/series/series.index.md          |   5 +-
 api-reference/series/series.isna.md           |  31 +-
 api-reference/series/series.le.md             |  69 ++-
 api-reference/series/series.loc.md            |  26 +-
 api-reference/series/series.lt.md             |  67 ++-
 api-reference/series/series.map.md            |  46 +-
 api-reference/series/series.max.md            |   4 +-
 api-reference/series/series.maximum.md        |  34 +-
 api-reference/series/series.mean.md           |   6 +-
 api-reference/series/series.median.md         |   6 +-
 api-reference/series/series.min.md            |   4 +-
 api-reference/series/series.minimum.md        |  33 +-
 api-reference/series/series.mod.md            |  48 +-
 api-reference/series/series.mode.md           |   6 +-
 api-reference/series/series.mul.md            |   3 +-
 api-reference/series/series.ndim.md           |   2 +-
 api-reference/series/series.ne.md             |  72 ++-
 api-reference/series/series.nunique.md        |   6 +-
 api-reference/series/series.or.md             |  17 +-
 api-reference/series/series.pow.md            |   6 +-
 api-reference/series/series.replace.md        |  16 +-
 api-reference/series/series.reset_index.md    |  19 +-
 api-reference/series/series.round.md          |  23 +-
 api-reference/series/series.sample.md         |  35 +-
 api-reference/series/series.set_index.md      |  36 +-
 api-reference/series/series.shape.md          |   7 +-
 api-reference/series/series.sort_values.md    |  15 +-
 api-reference/series/series.std.md            |   5 +-
 api-reference/series/series.str.split.md      |   8 +-
 api-reference/series/series.sub.md            |   3 +-
 api-reference/series/series.sum.md            |   4 +-
 api-reference/series/series.tail.md           |  13 +-
 api-reference/series/series.tensor.md         |   5 +-
 api-reference/series/series.unique.md         |  45 +-
 api-reference/series/series.value_counts.md   |  46 +-
 api-reference/series/series.values.md         |   7 +-
 api-reference/series/series.var.md            |   5 +-
 contributing-guide.md                         |  83 +--
 ...ating-to-the-stable-version-of-danfo.js.md |  92 ++++
 ...iction-using-danfo.js-and-tensorflow.js.md |  50 +-
 examples/using-danfojs-in-react.md            |  13 +-
 getting-started.md                            | 518 +++++++++---------
 release-notes.md                              |  32 +-
 182 files changed, 4378 insertions(+), 3696 deletions(-)
 create mode 100644 api-reference/general-functions/danfo.-convertfunctiontotransformer.md
 create mode 100644 api-reference/general-functions/danfo.dt.md
 create mode 100644 api-reference/general-functions/danfo.str.md
 create mode 100644 api-reference/general-functions/danfo.streamcsv.md
 create mode 100644 api-reference/general-functions/danfo.streamcsvtransformer.md
 create mode 100644 api-reference/general-functions/danfo.streamjson.md
 create mode 100644 api-reference/general-functions/danfo.tensorflow.md
 create mode 100644 api-reference/general-functions/danfo.utils.md
 create mode 100644 examples/migrating-to-the-stable-version-of-danfo.js.md

diff --git a/README.md b/README.md
index 1d1d31c..d5001e5 100644
--- a/README.md
+++ b/README.md
@@ -7,12 +7,12 @@ description: >-
 
 # Danfo.js Documentation
 
-D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.**&#x20;
+D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/pandas-docs/stable/index.html) library and provides a similar interface and API. This means users familiar with the [Pandas ](https://pandas.pydata.org/pandas-docs/stable/index.html)API can easily use D**anfo.js.**
 
 ## Main Features
 
-* Danfo.js is fast and supports[ Tensorflow.js](https://js.tensorflow.org)'s tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa.&#x20;
-* Easy handling of missing **** data (represented as `NaN`) in floating point as well as non-floating point data
+* Danfo.js is fast and supports[ Tensorflow.js](https://js.tensorflow.org)'s tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa.
+* Easy handling of missing data (represented as `NaN, undefined, or null`) in data
 * Size mutability: columns can be inserted/deleted from DataFrame
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
 * Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
@@ -26,7 +26,7 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 ## Getting Started
 
-New to Danfo? Check out the getting started guides. It contains a quick introduction to D_anfo's_ main concepts and links to additional content.
+New to Danfo? Check out the getting started guides. It contains a quick introduction to D\_anfo's\_ main concepts and links to additional content.
 
 {% content-ref url="getting-started.md" %}
 [getting-started.md](getting-started.md)
@@ -34,7 +34,7 @@ New to Danfo? Check out the getting started guides. It contains a quick introduc
 
 ## **API Reference**
 
-The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used.&#x20;
+The reference guide contains a detailed description of the **danfo** API. The reference describes how each function works and which parameters can be used.
 
 {% content-ref url="api-reference/" %}
 [api-reference](api-reference/)
@@ -54,7 +54,7 @@ The reference guide contains a detailed description of the **danfo** API. The re
 
 ## Contributing Guide
 
-Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process.&#x20;
+Want to help improve our documentation and existing functionalities? The contributing guidelines will guide you through the process.
 
 {% content-ref url="contributing-guide.md" %}
 [contributing-guide.md](contributing-guide.md)
@@ -65,4 +65,3 @@ Want to help improve our documentation and existing functionalities? The contrib
 {% content-ref url="release-notes.md" %}
 [release-notes.md](release-notes.md)
 {% endcontent-ref %}
-
diff --git a/SUMMARY.md b/SUMMARY.md
index 43e65db..d9a3ae2 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -4,29 +4,37 @@
 * [Getting Started](getting-started.md)
 * [API reference](api-reference/README.md)
   * [General Functions](api-reference/general-functions/README.md)
-    * [danfo.date\_range](api-reference/general-functions/danfo.date\_range.md)
+    * [danfo.tensorflow](api-reference/general-functions/danfo.tensorflow.md)
+    * [danfo. convertFunctionTotransformer](api-reference/general-functions/danfo.-convertfunctiontotransformer.md)
+    * [danfo.streamCsvTransformer](api-reference/general-functions/danfo.streamcsvtransformer.md)
+    * [danfo.streamJSON](api-reference/general-functions/danfo.streamjson.md)
+    * [danfo.streamCSV](api-reference/general-functions/danfo.streamcsv.md)
+    * [danfo.Utils](api-reference/general-functions/danfo.utils.md)
+    * [danfo.Str](api-reference/general-functions/danfo.str.md)
+    * [danfo.Dt](api-reference/general-functions/danfo.dt.md)
+    * [danfo.dateRange](api-reference/general-functions/danfo.date\_range.md)
     * [danfo.OneHotEncoder](api-reference/general-functions/danfo.onehotencoder.md)
     * [danfo.StandardScaler](api-reference/general-functions/danfo.standardscaler.md)
     * [danfo.MinMaxScaler](api-reference/general-functions/danfo.minmaxscaler.md)
     * [danfo.LabelEncoder](api-reference/general-functions/danfo.labelencoder.md)
     * [danfo.toDateTime](api-reference/general-functions/danfo.to\_datetime.md)
-    * [danfo.get\_dummies](api-reference/general-functions/danfo.get\_dummies.md)
+    * [danfo.getDummies](api-reference/general-functions/danfo.get\_dummies.md)
     * [danfo.concat](api-reference/general-functions/danfo.concat.md)
     * [danfo.merge](api-reference/general-functions/danfo.merge.md)
   * [Input/Output](api-reference/input-output/README.md)
-    * [danfo.read\_excel](api-reference/input-output/danfo.read\_excel.md)
-    * [danfo.read\_json](api-reference/input-output/danfo.read\_json.md)
-    * [danfo.read\_csv](api-reference/input-output/danfo.read\_csv.md)
-    * [danfo.to\_csv](api-reference/input-output/danfo.to\_csv.md)
-    * [danfo.to\_excel](api-reference/input-output/danfo.to\_excel.md)
-    * [danfo.to\_json](api-reference/input-output/danfo.to\_json.md)
+    * [danfo.readExcel](api-reference/input-output/danfo.read\_excel.md)
+    * [danfo.toExcel](api-reference/input-output/danfo.to\_excel.md)
+    * [danfo.readJSON](api-reference/input-output/danfo.read\_json.md)
+    * [danfo.toJSON](api-reference/input-output/danfo.to\_json.md)
+    * [danfo.readCSV](api-reference/input-output/danfo.read\_csv.md)
+    * [danfo.toCSV](api-reference/input-output/danfo.to\_csv.md)
   * [Series](api-reference/series/README.md)
     * [Creating a Series](api-reference/series/creating-a-series.md)
     * [Series.append](api-reference/series/series.append.md)
-    * [Series.cumsum](api-reference/series/series.cumsum.md)
-    * [Series.cummax](api-reference/series/series.cummax.md)
-    * [Series.cumprod](api-reference/series/series.cumprod.md)
-    * [Series.cummin](api-reference/series/series.cummin.md)
+    * [Series.cumSum](api-reference/series/series.cumsum.md)
+    * [Series.cumMax](api-reference/series/series.cummax.md)
+    * [Series.cumProd](api-reference/series/series.cumprod.md)
+    * [Series.cumMin](api-reference/series/series.cummin.md)
     * [Series.str.split](api-reference/series/series.str.split.md)
     * [Series.str.len](api-reference/series/series.str.len.md)
     * [Series.str.join](api-reference/series/series.str.join.md)
@@ -49,23 +57,23 @@
     * [Series.str.capitalize](api-reference/series/series.str.capitalize.md)
     * [Series.dt.seconds](api-reference/series/series.dt.second.md)
     * [Series.dt.minutes](api-reference/series/series.dt.minute.md)
-    * [Series.dt.monthday](api-reference/series/series.dt.monthday.md)
-    * [Series.dt.month\_name](api-reference/series/series.dt.month\_name.md)
-    * [Series.dt.hour](api-reference/series/series.dt.hour.md)
-    * [Series.dt.weekdays](api-reference/series/series.dt.weekdays.md)
-    * [Series.dt.day](api-reference/series/series.dt.day.md)
+    * [Series.dt.dayOfMonth](api-reference/series/series.dt.monthday.md)
+    * [Series.dt.monthName](api-reference/series/series.dt.month\_name.md)
+    * [Series.dt.hours](api-reference/series/series.dt.hour.md)
+    * [Series.dt.dayOfWeek](api-reference/series/series.dt.weekdays.md)
+    * [Series.dt.dayOfWeek](api-reference/series/series.dt.day.md)
     * [Series.dt.month](api-reference/series/series.dt.month.md)
     * [Series.dt.year](api-reference/series/series.dt.year.md)
-    * [Series.argmax](api-reference/series/series.argmax.md)
-    * [Series.argmin](api-reference/series/series.argmin.md)
-    * [Series.argsort](api-reference/series/series.argsort.md)
+    * [Series.argMax](api-reference/series/series.argmax.md)
+    * [Series.argMin](api-reference/series/series.argmin.md)
+    * [Series.argSort](api-reference/series/series.argsort.md)
     * [Series.replace](api-reference/series/series.replace.md)
-    * [Series.isna](api-reference/series/series.isna.md)
-    * [Series.fillna](api-reference/series/series.fillna.md)
-    * [Series.dropna](api-reference/series/series.dropna.md)
-    * [Series.drop\_duplicates](api-reference/series/series.drop\_duplicates.md)
-    * [Series.value\_counts](api-reference/series/series.value\_counts.md)
-    * [Series.nunique](api-reference/series/series.nunique.md)
+    * [Series.isNa](api-reference/series/series.isna.md)
+    * [Series.fillNa](api-reference/series/series.fillna.md)
+    * [Series.dropNa](api-reference/series/series.dropna.md)
+    * [Series.dropDuplicates](api-reference/series/series.drop\_duplicates.md)
+    * [Series.valueCounts](api-reference/series/series.value\_counts.md)
+    * [Series.nUnique](api-reference/series/series.nunique.md)
     * [Series.unique](api-reference/series/series.unique.md)
     * [Series.abs](api-reference/series/series.abs.md)
     * [Series.ne](api-reference/series/series.ne.md)
@@ -84,11 +92,11 @@
     * [Series.index](api-reference/series/series.index.md)
     * [Series.apply](api-reference/series/series.apply.md)
     * [Series.map](api-reference/series/series.map.md)
-    * [Series.set\_index](api-reference/series/series.set\_index.md)
-    * [Series.reset\_index](api-reference/series/series.reset\_index.md)
+    * [Series.setIndex](api-reference/series/series.set\_index.md)
+    * [Series.resetIndex](api-reference/series/series.reset\_index.md)
     * [Series.describe](api-reference/series/series.describe.md)
     * [Series.copy](api-reference/series/series.copy.md)
-    * [Series.sort\_values](api-reference/series/series.sort\_values.md)
+    * [Series.sortValues](api-reference/series/series.sort\_values.md)
     * [Series.var](api-reference/series/series.var.md)
     * [Series.std](api-reference/series/series.std.md)
     * [Series.round](api-reference/series/series.round.md)
@@ -114,25 +122,25 @@
     * [Series.or](api-reference/series/series.or.md)
   * [Dataframe](api-reference/dataframe/README.md)
     * [Creating a DataFrame](api-reference/dataframe/creating-a-dataframe.md)
-    * [DataFrame.sort\_index](api-reference/dataframe/dataframe.sort\_index.md)
+    * [DataFrame.sortIndex](api-reference/dataframe/dataframe.sort\_index.md)
     * [DataFrame.append](api-reference/dataframe/dataframe.append.md)
-    * [DataFrame.nunique](api-reference/dataframe/dataframe.nunique-1.md)
+    * [DataFrame.nUnique](api-reference/dataframe/dataframe.nunique-1.md)
     * [DataFrame.tensor](api-reference/dataframe/dataframe.tensor.md)
     * [DataFrame.print](api-reference/dataframe/dataframe.print.md)
-    * [DataFrame.to\_csv](api-reference/dataframe/dataframe.to\_csv.md)
-    * [DataFrame.to\_json](api-reference/dataframe/dataframe.to\_json.md)
-    * [DataFrame.to\_excel](api-reference/dataframe/dataframe.to\_excel.md)
-    * [DataFrame.sort\_values](api-reference/dataframe/dataframe.sort\_values.md)
-    * [DataFrame.set\_index](api-reference/dataframe/dataframe.set\_index.md)
-    * [DataFrame.reset\_index](api-reference/dataframe/dataframe.reset\_index.md)
+    * [DataFrame.toCSV](api-reference/dataframe/dataframe.to\_csv.md)
+    * [DataFrame.toJSON](api-reference/dataframe/dataframe.to\_json.md)
+    * [DataFrame.toExcel](api-reference/dataframe/dataframe.to\_excel.md)
+    * [DataFrame.sortValues](api-reference/dataframe/dataframe.sort\_values.md)
+    * [DataFrame.setIndex](api-reference/dataframe/dataframe.set\_index.md)
+    * [DataFrame.resetIndex](api-reference/dataframe/dataframe.reset\_index.md)
     * [DataFrame.rename](api-reference/dataframe/dataframe.rename.md)
     * [DataFrame.drop](api-reference/dataframe/dataframe.drop.md)
-    * [DataFrame.astype](api-reference/dataframe/dataframe.astype.md)
+    * [DataFrame.asType](api-reference/dataframe/dataframe.astype.md)
     * [DataFrame.shape](api-reference/dataframe/dataframe.shape.md)
     * [DataFrame.axis](api-reference/dataframe/dataframe.axes.md)
     * [DataFrame.ndim](api-reference/dataframe/dataframe.ndim.md)
     * [DataFrame.values](api-reference/dataframe/dataframe.values.md)
-    * [DataFrame.select\_dtypes](api-reference/dataframe/dataframe.select\_dtypes.md)
+    * [DataFrame.selectDtypes](api-reference/dataframe/dataframe.select\_dtypes.md)
     * [DataFrame.ctypes](api-reference/dataframe/dataframe.dtypes.md)
     * [DataFrame.index](api-reference/dataframe/dataframe.index.md)
     * [DataFrame.loc](api-reference/dataframe/danfo.dataframe.loc.md)
@@ -154,10 +162,10 @@
     * [DataFrame.var](api-reference/dataframe/danfo.dataframe.var.md)
     * [DataFrame.count](api-reference/dataframe/danfo.dataframe.count.md)
     * [DataFrame.round](api-reference/dataframe/danfo.dataframe.round.md)
-    * [DataFrame.cumsum](api-reference/dataframe/danfo.dataframe.cumsum.md)
-    * [DataFrame.cummin](api-reference/dataframe/danfo.dataframe.cummin.md)
-    * [DataFrame.cummax](api-reference/dataframe/danfo.dataframe.cummax.md)
-    * [DataFrame.cumprod](api-reference/dataframe/danfo.dataframe.cumprod.md)
+    * [DataFrame.cumSum](api-reference/dataframe/danfo.dataframe.cumsum.md)
+    * [DataFrame.cumMin](api-reference/dataframe/danfo.dataframe.cummin.md)
+    * [DataFrame.cumMax](api-reference/dataframe/danfo.dataframe.cummax.md)
+    * [DataFrame.cumProd](api-reference/dataframe/danfo.dataframe.cumprod.md)
     * [DataFrame.copy](api-reference/dataframe/danfo.dataframe.copy.md)
     * [DataFrame.describe](api-reference/dataframe/danfo.dataframe.describe.md)
     * [DataFrame.sum](api-reference/dataframe/danfo.dataframe.sum.md)
@@ -166,11 +174,11 @@
     * [DataFrame.addColumn](api-reference/dataframe/danfo.dataframe.addcolumn.md)
     * [DataFrame.groupby](api-reference/dataframe/danfo.dataframe.groupby.md)
     * [DataFrame.column](api-reference/dataframe/danfo.dataframe.column.md)
-    * [DataFrame.fillna](api-reference/dataframe/danfo.dataframe.fillna.md)
-    * [DataFrame.isna](api-reference/dataframe/danfo.dataframe.isna.md)
-    * [DataFrame.dropna](api-reference/dataframe/danfo.dataframe.dropna.md)
+    * [DataFrame.fillNa](api-reference/dataframe/danfo.dataframe.fillna.md)
+    * [DataFrame.isNa](api-reference/dataframe/danfo.dataframe.isna.md)
+    * [DataFrame.dropNa](api-reference/dataframe/danfo.dataframe.dropna.md)
     * [DataFrame.apply](api-reference/dataframe/danfo.dataframe.apply.md)
-    * [DataFrame.apply\_map](api-reference/dataframe/dataframe.apply\_map.md)
+    * [DataFrame.applyMap](api-reference/dataframe/dataframe.apply\_map.md)
     * [DataFrame.It](api-reference/dataframe/danfo.dataframe.it.md)
     * [DataFrame.gt](api-reference/dataframe/danfo.dataframe.gt.md)
     * [DataFrame.le](api-reference/dataframe/danfo.dataframe.le.md)
@@ -189,7 +197,7 @@
     * [Scatter Plots](api-reference/plotting/scatter-plots.md)
     * [Bar Charts](api-reference/plotting/bar-charts.md)
     * [Line Charts](api-reference/plotting/line-charts.md)
-    * [Configuring your plots](api-reference/plotting/configuring-your-plots.md)
+    * [Customizing your plots](api-reference/plotting/configuring-your-plots.md)
   * [Groupby](api-reference/groupby/README.md)
     * [Groupby.get\_groups](api-reference/groupby/groupby.get\_groups.md)
     * [Groupby.col](api-reference/groupby/groupby.col.md)
@@ -206,6 +214,7 @@
     * [Groupby.cumprod](api-reference/groupby/groupby.cumprod.md)
     * [Groupby.agg](api-reference/groupby/groupby.agg.md)
 * [User Guides](examples/README.md)
+  * [Migrating to the stable version of Danfo.js](examples/migrating-to-the-stable-version-of-danfo.js.md)
   * [Using Danfojs in React](examples/using-danfojs-in-react.md)
   * [Titanic Survival Prediction using Danfo.js and Tensorflow.js](examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md)
 * [Building Data Driven Applications with Danfo.js - Book](building-data-driven-applications-with-danfo.js-book.md)
diff --git a/api-reference/README.md b/api-reference/README.md
index b5d5d28..9e79ca8 100644
--- a/api-reference/README.md
+++ b/api-reference/README.md
@@ -1,11 +1,17 @@
 ---
 description: >-
-  This page gives an overview of all public danfo objects, functions and
-  methods. All classes and functions exposed in danfo.* namespace are public.
+  List of all public Danfo objects, functions and methods. All classes and
+  functions exposed in danfo.* namespace is public.
 ---
 
 # API reference
 
+{% hint style="info" %}
+A stable version of Danfojs (v1), has been released, and it comes with full Typescript support, new features, and many bug fixes. See release note [here](../release-notes.md#latest-release-node-v1.0.0-browser-v1.0.0).&#x20;
+
+There are a couple of breaking changes, so we have prepared a short migration [guide](../examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1 users.&#x20;
+{% endhint %}
+
 * [General Functions](general-functions/)
   * [Data manipulations](general-functions/#data-manipulations)
   * [Data Processing/Normalization](general-functions/#data-processing-normalization)
@@ -26,7 +32,7 @@ description: >-
   * [Accessors](series/#accessors)
   * [Serialization / IO / conversion](series/#serialization-io-conversion)
 * [DataFrame](dataframe/)
-  * [Attributes ](dataframe/#attributes)
+  * [Attributes](dataframe/#attributes)
   * [Conversion](dataframe/#conversion)
   * [Indexing, iteration](dataframe/#indexing-iteration)
   * [Binary operator functions](dataframe/#binary-operator-functions)
@@ -51,4 +57,3 @@ description: >-
   * [Indexing, iteration](groupby/#indexing-iteration)
   * [Function application](groupby/#function-application)
   * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
-
diff --git a/api-reference/configuration-options.md b/api-reference/configuration-options.md
index f4c2136..d2fa5d7 100644
--- a/api-reference/configuration-options.md
+++ b/api-reference/configuration-options.md
@@ -6,14 +6,14 @@ description: >-
 
 # Configuration Options
 
-On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
+On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do.
 
-| Parameter          | Description                                                                                                                                                                                                           |
-| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
-| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
-| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
+| Parameter          | Description                                                                                                                                                                                                          |
+| ------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported. |
+| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                 |
+| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 20                                                                                                                              |
+| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory space or not. Defaults to false.<br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true.</p>                    |
 
 > See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
 
diff --git a/api-reference/dataframe/README.md b/api-reference/dataframe/README.md
index d48a28d..f1f7322 100644
--- a/api-reference/dataframe/README.md
+++ b/api-reference/dataframe/README.md
@@ -4,30 +4,23 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 # Dataframe
 
-> `DataFrame`(data, {\
-> &#x20;                               **columns:** \[ Array ],\
-> &#x20;                                **dtypes:** \[ Array ], **** \
-> &#x20;                                **index:** \[Array], \
-> &#x20;                                **options**: Object})
-
 ### Attributes
 
 | [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
 | ------------------------------------------------ | ---------------------------------------- |
 | [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
 
-| [`DataFrame.ctypes`](dataframe.dtypes.md)                | Return the data types in the DataFrame.                                |
-| -------------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.select_dtypes`](dataframe.select\_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md)                | Return a Numpy representation of the DataFrame.                        |
-| [`DataFrame.axes`](dataframe.axes.md)                    | Return a Object representing the axes of the DataFrame.                |
-| [`DataFrame.ndim`](dataframe.ndim.md)                    | Return an int representing the number of axes / array dimensions.      |
-| [`DataFrame.size`](broken-reference)                     | Return an int representing the number of elements in this object.      |
-| [`DataFrame.shape`](dataframe.shape.md)                  | Return a tuple representing the dimensionality of the DataFrame.       |
+| [`DataFrame.ctypes`](dataframe.dtypes.md) |   |
+| ----------------------------------------- | - |
+| [`DataFrame.values`](dataframe.values.md) |   |
+| [`DataFrame.axis`](dataframe.axes.md)     |   |
+| [`DataFrame.ndim`](dataframe.ndim.md)     |   |
+| [`DataFrame.size`](broken-reference/)     |   |
+| [`DataFrame.shape`](dataframe.shape.md)   |   |
 
 ### Conversion
 
-| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
+| [`DataFrame.asType`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
 | ------------------------------------------- | -------------------------------------------------- |
 | [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
 
@@ -49,10 +42,10 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 | [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
 | [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
 | [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
-| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
+| [`DataFrame.lt`](broken-reference/)       | Get Less than of dataframe and other, element-wise (binary operator lt).                |
 | [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
 | [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
-| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
+| [`DataFrame.ge`](broken-reference/)       | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
 | [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
 | [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
 
@@ -67,12 +60,12 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 | [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
 | --------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
+| [`DataFrame.corr`](broken-reference/)               | Compute pairwise correlation of columns, excluding NA/null values.     |
 | [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
-| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
-| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
-| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
-| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
+| [`DataFrame.cumMax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
+| [`DataFrame.cumMin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
+| [`DataFrame.cumProd`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
+| [`DataFrame.cumSum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
 | [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
 | [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
 | [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
@@ -83,34 +76,34 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 | [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
 | [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
 | [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
-| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
+| [`DataFrame.nUnique`](broken-reference/)            | Count distinct observations over requested axis.                       |
 
 ### Reindexing / selection / label manipulation
 
-|                                                      |                                                         |
-| ---------------------------------------------------- | ------------------------------------------------------- |
-| [`DataFrame.drop`](dataframe.drop.md)                | Drop specified labels from rows or columns.             |
-| [`DataFrame.head`](danfo.dataframe.head.md)          | Return the first n rows.                                |
-| [`DataFrame.rename`](dataframe.rename.md)            | Alter axes labels.                                      |
-| [`DataFrame.reset_index`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
-| [`DataFrame.sample`](danfo.dataframe.sample.md)      | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)          | Return the last n rows.                                 |
+|                                                     |                                                         |
+| --------------------------------------------------- | ------------------------------------------------------- |
+| [`DataFrame.drop`](dataframe.drop.md)               | Drop specified labels from rows or columns.             |
+| [`DataFrame.head`](danfo.dataframe.head.md)         | Return the first n rows.                                |
+| [`DataFrame.rename`](dataframe.rename.md)           | Alter axes labels.                                      |
+| [`DataFrame.resetIndex`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
+| [`DataFrame.sample`](danfo.dataframe.sample.md)     | Return a random sample of items from an axis of object. |
+| [`DataFrame.setIndex`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
+| [`DataFrame.tail`](danfo.dataframe.tail.md)         | Return the last n rows.                                 |
 
 ### Missing data handling
 
 |                                                   |                                             |
 | ------------------------------------------------- | ------------------------------------------- |
-| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
-| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
-| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
+| [`DataFrame.dropNa`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
+| [`DataFrame.fillNa`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
+| [`DataFrame.isNa`](danfo.dataframe.isna.md)       | Detect missing values.                      |
 | [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
 
 ### Sorting & transposing
 
 |                                                                                                                        |                                       |
 | ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| [`DataFrame.sort_values`](dataframe.sort\_values.md)                                                                   | Sort by the values along either axis. |
+| [`DataFrame.sortVlues`](dataframe.sort\_values.md)                                                                     | Sort by the values along either axis. |
 | [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
 
 ### Combining / comparing / joining / merging
@@ -139,7 +132,8 @@ description: Two-dimensional, size-mutable, potentially heterogeneous tabular da
 
 ### Serialization / IO / conversion
 
-|                                              |                                                      |
-| -------------------------------------------- | ---------------------------------------------------- |
-| [`DataFrame.to_csv`](dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`DataFrame.to_json`](dataframe.to\_json.md) | Convert the object to a JSON string.                 |
+|                                                               |                                  |
+| ------------------------------------------------------------- | -------------------------------- |
+| [`DataFrame.toCSV`](dataframe.to\_csv.md)                     | Convert DataFrame to a CSV file. |
+| [`DataFrame.toJSON`](dataframe.to\_json.md)                   | Convert the object to a JSON.    |
+| ``[`DataFrame.toExcel`](../input-output/danfo.to\_excel.md)`` | Convert DataFrame to Excel file  |
diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 0228131..2103b9d 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -4,49 +4,14 @@ description: Creates a DataFrame object from flat structure
 
 # Creating a DataFrame
 
-new danfo.**DataFrame**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>columns:</b> Array of column names. If not specified, column names are
-          auto generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
+danfo.**DataFrame**(data, options)
+
+| Parameters | Type                              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| ---------- | --------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| data       | 2D Array, 2D Tensor, JSON object. | Flat data structure to load into DataFrame                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
+| options    | Object                            | <p>Optional configuration object. Supported properties are:<br></p><p><strong>index:</strong> Array of numeric or string names for subseting array. If not specified, indexes are auto-generated.<br></p><p><strong>columns:</strong> Array of column names. If not specified, column names are auto generated.<br></p><p><strong>dtypes:</strong> Array of data types for each the column. If not specified, dtypes are/is inferred.<br></p><p><strong>config</strong>: General configuration object for extending or setting NDframe behavior. See full options here</p> |
+
+In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options.
 
 ### Creating a `DataFrame` from a JSON object:
 
@@ -143,7 +108,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 │ D                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -159,8 +124,7 @@ df.print()
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
-
+const tf = dfd.tensorflow
 
 let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
 let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
@@ -201,7 +165,7 @@ df.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -231,7 +195,7 @@ df.ctypes.print()
 const dfd = require("danfojs-node")
 
 
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+dates = new dfd.dateRange({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
 
 console.log(dates);
 
@@ -285,7 +249,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 //output in console
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
@@ -302,7 +266,7 @@ df.print()
 
 ### Creating a `DataFrame` and specifying index, dtypes, columns
 
-You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
+You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc.
 
 > Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
 
@@ -322,7 +286,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -348,8 +312,7 @@ df.print()
 ```
 
 {% hint style="info" %}
-**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
+**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower.
 {% endhint %}
 
 For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
-
diff --git a/api-reference/dataframe/danfo.dataframe.abs.md b/api-reference/dataframe/danfo.dataframe.abs.md
index 8504222..bac894a 100644
--- a/api-reference/dataframe/danfo.dataframe.abs.md
+++ b/api-reference/dataframe/danfo.dataframe.abs.md
@@ -4,16 +4,12 @@ description: Return a DataFrame with the absolute numeric value of each element.
 
 # DataFrame.abs
 
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**sum**(options)
 
 | Parameters | Type   | Description                                                                                        | Default            |
 | ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
 | options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
diff --git a/api-reference/dataframe/danfo.dataframe.add.md b/api-reference/dataframe/danfo.dataframe.add.md
index 925a3cd..3ee1719 100644
--- a/api-reference/dataframe/danfo.dataframe.add.md
+++ b/api-reference/dataframe/danfo.dataframe.add.md
@@ -4,16 +4,12 @@ description: Get Addition of DataFrame and other, element-wise (binary operator
 
 # DataFrame.add
 
-danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.**add**(other, option)&#x20;
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                                                 |   |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------- | - |
+| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                                                         |   |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | <p>{ </p><p>axis: 1, </p><p>inplace: false </p><p>}</p> |   |
 
 ## **Examples**
 
@@ -60,7 +56,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of  **Series to** DataFrame along axis 0
+### Addition of **Series to** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -105,7 +101,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of  ****  DataFrame to a DataFrame
+### Addition of DataFrame to a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -124,7 +120,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.add(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -152,7 +147,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Addition of **** Array to DataFrame along axis 0
+### Addition of Array to DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -193,7 +188,6 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 12                │ 26                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -239,8 +233,6 @@ df.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 12                │ 26                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.addcolumn.md b/api-reference/dataframe/danfo.dataframe.addcolumn.md
index ef0ecc9..422cd9c 100644
--- a/api-reference/dataframe/danfo.dataframe.addcolumn.md
+++ b/api-reference/dataframe/danfo.dataframe.addcolumn.md
@@ -4,11 +4,13 @@ description: Add new column to a DataFrame
 
 # DataFrame.addColumn
 
-danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
+danfo.DataFrame.**addColumn**(column**,** values**,** options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
+| Parameters  | Type               | Description                                                   | Default           |
+| ----------- | ------------------ | ------------------------------------------------------------- | ----------------- |
+| **column**  | String             | Name of the column to add.                                    |                   |
+| **values**  | Series**,** Array  | New values to add                                             |                   |
+| **options** | Object             | **inplace**: Whether to perform the operation inplace or not. | Default to false. |
 
 **Returns:**
 
@@ -16,21 +18,24 @@ danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9
 
 ## **Add Array as a new column to DataFrame**
 
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
+New columns get added at the end of the DataFrame.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
+
+let data = {
+    "A": [30, 1, 2, 3],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
 
 let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true });
+df.addColumn("D", new_col, { inplace: true });
 
 df.print()
 ```
@@ -57,9 +62,6 @@ df.print()
 ║ 3 │ 3                 │ 6                 │ 40                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
- Shape: (4,3) 
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -81,13 +83,18 @@ df.print()
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
+
+let data = {
+    "A": [30, 1, 2, 3],
+    "B": [34, 4, 5, 6],
+    "C": [20, 20, 30, 40]
+}
 
 let df = new dfd.DataFrame(data)
+df.print()
+
 let s = new dfd.Series([1, 2, 3, 4])
-df.addColumn({ "column": "D", "values": s, inplace: true });
+df.addColumn("D", s, { inplace: true });
 
 df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.apply.md b/api-reference/dataframe/danfo.dataframe.apply.md
index de42294..15ab9fc 100644
--- a/api-reference/dataframe/danfo.dataframe.apply.md
+++ b/api-reference/dataframe/danfo.dataframe.apply.md
@@ -4,20 +4,16 @@ description: Apply a function to each element or along a specified axis of a Dat
 
 # DataFrame.apply
 
-danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.**apply**(callable, options)&#x20;
 
 | Parameters | Type     | Description                                                           | Default   |
 | ---------- | -------- | --------------------------------------------------------------------- | --------- |
 | callable   | Function | Function to apply to each column or row                               |           |
 | options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
-### Apply a  function along default axis 1 (columns)
+### Apply a function along default axis 1 (columns)
 
 {% hint style="info" %}
 Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
@@ -51,17 +47,19 @@ df_new.print()
 {% tab title="Output" %}
 ```
 ╔═══╤═════╗
-║ A │ 64  ║
+║ 0 │ 6   ║
 ╟───┼─────╢
-║ B │ 126 ║
+║ 1 │ 15  ║
 ╟───┼─────╢
-║ C │ 127 ║
+║ 2 │ 90  ║
+╟───┼─────╢
+║ 3 │ 206 ║
 ╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Apply a  function along  axis 0 (row)
+### Apply a function along axis 0 (row)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -78,7 +76,6 @@ function sum_vals(col) {
 
 let df_new = df.apply(sum_vals, { axis: 0 })
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -92,15 +89,12 @@ df_new.print()
 {% tab title="Output" %}
 ```
 ╔═══╤═════╗
-║ 0 │ 6   ║
-╟───┼─────╢
-║ 1 │ 15  ║
+║ A │ 64  ║
 ╟───┼─────╢
-║ 2 │ 90  ║
+║ B │ 126 ║
 ╟───┼─────╢
-║ 3 │ 206 ║
+║ C │ 127 ║
 ╚═══╧═════╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.column.md b/api-reference/dataframe/danfo.dataframe.column.md
index 7d963a2..61eccba 100644
--- a/api-reference/dataframe/danfo.dataframe.column.md
+++ b/api-reference/dataframe/danfo.dataframe.column.md
@@ -1,19 +1,15 @@
 ---
-description: Return the elements of the specified column in the DataFrame
+description: Return the elements of the specified column as a Series
 ---
 
 # DataFrame.column
 
-danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
+danfo.DataFrame.**column**(column)
 
 | Parameters | Type   | Description                           | Default |
 | ---------- | ------ | ------------------------------------- | ------- |
 | column     | String | The name of a column in the DataFrame |         |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 ## **Select a single column from a DataFrame**
@@ -32,7 +28,6 @@ df.column("Name").print()
 
 //Alternatively, you can retrieve columns by using the object property
 df['Name'].print() //produces the same result as above
-
 ```
 {% endtab %}
 
@@ -64,7 +59,6 @@ df['Name'].print() //produces the same result as above
 ╟───┼───────────╢
 ║ 3 │ undefined ║
 ╚═══╧═══════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.copy.md b/api-reference/dataframe/danfo.dataframe.copy.md
index 188179d..1920e8d 100644
--- a/api-reference/dataframe/danfo.dataframe.copy.md
+++ b/api-reference/dataframe/danfo.dataframe.copy.md
@@ -1,14 +1,10 @@
 ---
-description: Makes a new copy of the DataFrame
+description: Makes a deep copy of the DataFrame
 ---
 
 # DataFrame.copy
 
-danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
+danfo.DataFrame.**copy**()
 
 ## **Examples**
 
@@ -34,7 +30,6 @@ new_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -46,8 +41,6 @@ new_df.print()
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
 ║ 3 │ -20               │ 6                 │ -40               ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.count.md b/api-reference/dataframe/danfo.dataframe.count.md
index 637cbf4..6bd35e2 100644
--- a/api-reference/dataframe/danfo.dataframe.count.md
+++ b/api-reference/dataframe/danfo.dataframe.count.md
@@ -6,16 +6,12 @@ description: >-
 
 # DataFrame.count
 
-danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**count**(options)
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 ## Count Non-NaN values along default axis 1 (column)
@@ -43,15 +39,15 @@ df.count().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ Name  │ 3                    ║
-╟───────┼──────────────────────╢
-║ Count │ 2                    ║
-╟───────┼──────────────────────╢
-║ Price │ 4                    ║
-╚═══════╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 2 ║
+╟───┼───╢
+║ 1 │ 3 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -81,20 +77,15 @@ df.count({axis: 0}).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══════╤═══╗
+║ Name  │ 3 ║
+╟───────┼───╢
+║ Count │ 2 ║
+╟───────┼───╢
+║ Price │ 4 ║
+╚═══════╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
 
 ##
-
diff --git a/api-reference/dataframe/danfo.dataframe.cummax.md b/api-reference/dataframe/danfo.dataframe.cummax.md
index fb69bb5..a04bb20 100644
--- a/api-reference/dataframe/danfo.dataframe.cummax.md
+++ b/api-reference/dataframe/danfo.dataframe.cummax.md
@@ -2,32 +2,32 @@
 description: Return cumulative maximum over a DataFrame or Series axis.
 ---
 
-# DataFrame.cummax
+# DataFrame.cumMax
 
-danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+danfo.DataFrame.cumMax(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
+| Parameters | Type   | Description                                                                                                                                                                    | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {axis: 1, inplace: false} |
 
 **Returns:**
 
-&#x20;      ****       return **DataFrame**
+\*\*\*\* return **DataFrame**
 
 ## **Examples**
 
-## Cumulative maximum of elements along default axis (row)
+## Cumulative maximum of elements along axis (row)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 0 })
+let new_df = df.cumMax({ axis: 0 })
 
 new_df.print()
 ```
@@ -64,11 +64,11 @@ new_df.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 1 })
+let new_df = df.cumMax({ axis: 1 })
 
 new_df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.cummin.md b/api-reference/dataframe/danfo.dataframe.cummin.md
index be026a6..4cd3d05 100644
--- a/api-reference/dataframe/danfo.dataframe.cummin.md
+++ b/api-reference/dataframe/danfo.dataframe.cummin.md
@@ -2,32 +2,28 @@
 description: Return cumulative minimum over a DataFrame or Series axis.
 ---
 
-# DataFrame.cummin
+# DataFrame.cumMin
 
-danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+danfo.DataFrame.**cumMin**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                    | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {axis: 1, inplace: false} |
 
 ## **Examples**
 
-## Cumulative minimum of elements along default axis (row)
+## Cumulative minimum of elements along axis 0 (row)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 0 })
+let new_df = df.cumMin({ axis: 0 })
 
 new_df.print()
 ```
@@ -64,11 +60,11 @@ new_df.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 1 })
+let new_df = df.cumMin({ axis: 1 })
 
 new_df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.cumprod.md b/api-reference/dataframe/danfo.dataframe.cumprod.md
index 06ad53a..5dba3cf 100644
--- a/api-reference/dataframe/danfo.dataframe.cumprod.md
+++ b/api-reference/dataframe/danfo.dataframe.cumprod.md
@@ -2,32 +2,28 @@
 description: Return cumulative product over a DataFrame or Series axis.
 ---
 
-# DataFrame.cumprod
+# DataFrame.cumProd
 
-danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+danfo.DataFrame.**cumProd**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
 
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                    | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {axis: 1, inplace: false} |
 
 ## **Examples**
 
-## Cumulative product of elements along default axis (row)
+## Cumulative product of elements along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod()
+let new_df = df.cumProd()
 
 new_df.print()
 ```
@@ -42,17 +38,17 @@ new_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 10                │ 18                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 300               │ 720               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 4                 │ 26700             │ 56160             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 220               │ 660               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 90                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 60                │ 2400              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 178               │ 13884             ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -64,11 +60,11 @@ new_df.print()
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod({axis: 1})
+let new_df = df.cumProd({ axis: 1 })
 
 new_df.print()
 ```
@@ -83,17 +79,17 @@ new_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 60                │ 2400              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 178               │ 13884             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 220               │ 660               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 90                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 60                │ 2400              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 178               │ 13884             ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index 07be896..a2585fe 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -2,17 +2,13 @@
 description: Return cumulative sum over a DataFrame or Series axis.
 ---
 
-# DataFrame.cumsum
+# DataFrame.cumSum
 
-danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
+danfo.DataFrame.cumSum(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                    | Default                   |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------- |
+| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {axis: 1, inplace: false} |
 
 ## **Examples**
 
@@ -23,11 +19,11 @@ danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 0 })
+let new_df = df.cumSum({ axis: 0 })
 
 new_df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.describe.md b/api-reference/dataframe/danfo.dataframe.describe.md
index 0540873..2bff123 100644
--- a/api-reference/dataframe/danfo.dataframe.describe.md
+++ b/api-reference/dataframe/danfo.dataframe.describe.md
@@ -6,20 +6,17 @@ description: >-
 
 # DataFrame.describe
 
-danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+danfo.DataFrame.**describe**()
 
 ## **Examples**
 
-Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.&#x20;
+Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
 let col_names = ["col1", "col2", "col3", "col4"]
 let df = new dfd.DataFrame(data, {columns: col_names})
diff --git a/api-reference/dataframe/danfo.dataframe.div.md b/api-reference/dataframe/danfo.dataframe.div.md
index c98c66e..64929e0 100644
--- a/api-reference/dataframe/danfo.dataframe.div.md
+++ b/api-reference/dataframe/danfo.dataframe.div.md
@@ -1,21 +1,15 @@
 ---
-description: >-
-  Get Float division of DataFrame and other, element-wise (binary operator
-  truediv).
+description: Get division of DataFrame and other, element-wise
 ---
 
 # DataFrame.div
 
-danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.div(other, option)&#x20;
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to divide with                                                                                                                                                                        |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
 
 ## **Examples**
 
@@ -58,12 +52,11 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of  **Series with** DataFrame along axis 0
+### Division of **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -105,12 +98,11 @@ df_new.print()
 ║ 3          │ 0.25              │ 0.8000000119209…  ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of  ****  DataFrame **with** a DataFrame
+### Division of DataFrame **with** another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -129,7 +121,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.div(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -154,12 +145,11 @@ df_new.print()
 ║ 3          │ 0                 │ 2                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Division of **** Array **with** DataFrame along axis 0
+### Division of Array **with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -200,7 +190,6 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -247,8 +236,6 @@ df.print()
 ║ 3          │ 5                 │ 12                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.dropna.md b/api-reference/dataframe/danfo.dataframe.dropna.md
index 429bcbe..85a3c42 100644
--- a/api-reference/dataframe/danfo.dataframe.dropna.md
+++ b/api-reference/dataframe/danfo.dataframe.dropna.md
@@ -2,35 +2,31 @@
 description: Remove missing values (NaNs, undefined, null) for DataFrame
 ---
 
-# DataFrame.dropna
+# DataFrame.dropNa
 
-danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
+danfo.DataFrame.**dropNa**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
 
-| Parameters | Type   | Description                                                                                                                   | Default              |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
-| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
-| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace:** false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                        | Default              |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | -------------------- |
+| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                    | 1                    |
+| options    | Object | **inplace**: Boolean indicating whether to perform the operation inplace or not. Defaults to false | {**inplace:** false} |
 
 ## **Examples**
 
-### Drop rows (axis=0) with missing values &#x20;
+### Drop rows (axis=0) with missing values
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, NaN, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropNa({ axis: 0 })
 df_drop.print()
 ```
 {% endtab %}
@@ -44,29 +40,47 @@ df_drop.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ NaN               │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╗
+║            │ C                 ║
+╟────────────┼───────────────────╢
+║ 0          │ 3                 ║
+╟────────────┼───────────────────╢
+║ 1          │ 6                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 40                ║
+╟────────────┼───────────────────╢
+║ 3          │ 78                ║
+╚════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Drop columns (axis=1) with missing values &#x20;
+### Drop columns (axis=1) with missing values
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, NaN, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-df.dropna({axis: 1, inplace: true})
+df.dropNa({ axis: 1, inplace: true })
 df.print()
 ```
 {% endtab %}
@@ -80,17 +94,23 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ NaN               │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ NaN               │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.eq.md b/api-reference/dataframe/danfo.dataframe.eq.md
index 5f3cf2a..4fdbc19 100644
--- a/api-reference/dataframe/danfo.dataframe.eq.md
+++ b/api-reference/dataframe/danfo.dataframe.eq.md
@@ -4,7 +4,7 @@ description: Get Equal to of DataFrame and other, element-wise (binary operator
 
 # DataFrame.eq
 
-danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.eq(other, option)
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
@@ -13,11 +13,11 @@ danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-****
+***
 
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -74,7 +74,6 @@ let df_rep = df.eq(sf, {axis:1})
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -102,7 +101,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -147,7 +146,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a JavaScript Array
+### Comparing a DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.fillna.md b/api-reference/dataframe/danfo.dataframe.fillna.md
index 2ddb860..8279d2e 100644
--- a/api-reference/dataframe/danfo.dataframe.fillna.md
+++ b/api-reference/dataframe/danfo.dataframe.fillna.md
@@ -4,22 +4,18 @@ description: >-
   for an array-like object.
 ---
 
-# DataFrame.fillna
+# DataFrame.fillNa
 
-danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
+danfo.DataFrame.fillNa(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
 
-| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
-| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type            | Description                                                                                                                                                                                                                   | Default          |
+| ---------- | --------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                  |                  |
+| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {inplace: false} |
 
 ## **Examples**
 
-### Fill missing values in specified columns with specified values&#x20;
+### Fill missing values in specified columns with specified values
 
 Missing values are NaN, undefined or null values
 
@@ -38,9 +34,8 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let values = ["Apples", df["Count"].mean()]
-let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
+let df_filled = df.fillNa(values, { columns: ["Name", "Count"] })
 df_filled.print()
-
 ```
 {% endtab %}
 
@@ -53,38 +48,34 @@ df_filled.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-//Before filling
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ NaN               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ NaN               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ NaN               │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After filling
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 7.5               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 7.5               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ NaN               │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ NaN               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ undefined         │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Name              │ Count             │ Price             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Apples            │ 7.5               │ 200               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Mango             │ 5                 │ 300               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Banana            │ 7.5               │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Apples            │ 10                │ 250               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Fill all columns with NaNs with a specified value&#x20;
+### Fill all columns with NaNs with a specified value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -98,10 +89,9 @@ let data = {
 }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillNa("Apples")
 
 df_filled.print()
-
 ```
 {% endtab %}
 
@@ -114,7 +104,6 @@ df_filled.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -130,7 +119,7 @@ df_filled.print()
 {% endtab %}
 {% endtabs %}
 
-### Fill NaNs inplace&#x20;
+### Fill NaNs inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -144,7 +133,7 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 let values = ["Apples", df["Count"].mean()]
-df.fillna(values, {
+df.fillNa(values, {
     columns: ["Name", "Count"],
     inplace: true
 })
@@ -161,7 +150,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/danfo.dataframe.ge.md b/api-reference/dataframe/danfo.dataframe.ge.md
index 8e5401b..40a4316 100644
--- a/api-reference/dataframe/danfo.dataframe.ge.md
+++ b/api-reference/dataframe/danfo.dataframe.ge.md
@@ -6,20 +6,16 @@ description: >-
 
 # DataFrame.ge
 
-danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.ge(other, option)
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
 | other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
 | option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;    **DataFrame**
-
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +57,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -78,7 +74,6 @@ let df_rep = df.ge(sf, {axis:1})
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -106,7 +101,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -124,7 +119,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_rep = df.ge(df2)
 
 df_rep.print()
-
 ```
 {% endtab %}
 
@@ -152,7 +146,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a JavaScript Array
+### Comparing a DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index e7d084f..b0adffc 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -4,16 +4,12 @@ description: Group DataFrame using a mapper or by a Series of columns.
 
 # DataFrame.groupby
 
-danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
+danfo.DataFrame.**groupby**(columns)
 
 | Parameters | Type  | Description                                           | Default |
 | ---------- | ----- | ----------------------------------------------------- | ------- |
 | columns    | Array | The names of a column(s) in the DataFrame to group by |         |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame.groups**
-
 ## **Examples**
 
 ## **Groupby a single column from a DataFrame**
@@ -29,38 +25,26 @@ let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 let group_df = df.groupby(["A"])
 console.log(group_df)
+```
 
-//GroupBy Object
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
+```
+// ouput
+Groupby {
+  colDict: {
+    Pear: { A: [Array], B: [Array], C: [Array] },
+    Apple: { A: [Array], B: [Array], C: [Array] }
+  },
+  keyToValue: { Pear: [ 'Pear' ], Apple: [ 'Apple' ] },
+  keyCol: [ 'A' ],
   data: [
     [ 'Pear', 2, 3 ],
     [ 'Pear', 5, 6 ],
     [ 'Apple', 30, 40 ],
     [ 'Apple', 89, 78 ]
   ],
-  column_name: [ 'A', 'B', 'C' ],
-  data_tensors: {
-    Pear: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-      '$index': [Array],
-      '$dtypes': [Array],
-      '$columns': [Array]
-    },
-    Apple: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-       ...
-      '$columns': [Array]
-    }
-  },
-  col_dtype: [ 'string' ]
+  columnName: [ 'A', 'B', 'C' ],
+  colDtype: [ 'string' ],
+  colIndex: [ 0 ]
 }
 ```
 {% endtab %}
@@ -78,9 +62,9 @@ A groupby operation will return a GroupBy class object. You can apply any of the
 3. [std](danfo.dataframe.std.md)
 4. [var](danfo.dataframe.var.md)
 5. [mean](danfo.dataframe.mean.md)
-6. [cumsum](danfo.dataframe.cumsum.md)&#x20;
-7. [cummax](danfo.dataframe.cummax.md)
-8. [cumprod](danfo.dataframe.cumprod.md)
+6. [cumSum](danfo.dataframe.cumsum.md)
+7. [cumMax](danfo.dataframe.cummax.md)
+8. [cumProd](danfo.dataframe.cumprod.md)
 9. [cummin](danfo.dataframe.cummin.md)
 10. [max](danfo.dataframe.max.md)
 11. [min](danfo.dataframe.min.md)
@@ -98,7 +82,6 @@ let df = new dfd.DataFrame(data, { columns: cols })
 let group_df = df.groupby(["A"]).sum()
 
 group_df.print()
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.gt.md b/api-reference/dataframe/danfo.dataframe.gt.md
index ec3f7ba..f27ae72 100644
--- a/api-reference/dataframe/danfo.dataframe.gt.md
+++ b/api-reference/dataframe/danfo.dataframe.gt.md
@@ -4,20 +4,16 @@ description: Get Greater than of DataFrame and other, element-wise (binary opera
 
 # DataFrame.gt
 
-danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.g**t**(other, option)
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
 | other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
 | option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +54,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -74,7 +70,6 @@ let df_rep = df.gt(sf, {axis:1})
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -102,7 +97,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -120,7 +115,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_rep = df.gt(df2)
 
 df_rep.print()
-
 ```
 {% endtab %}
 
@@ -148,19 +142,21 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a JavaScript Array
+### Comparing a DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
 
-let df_rep = df.gt(val, axis=1)
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
+let df = new dfd.DataFrame(data)
+let val = [10, 40]
+let df_rep = df.gt(val, { axis: 1 })
 
 df_rep.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.head.md b/api-reference/dataframe/danfo.dataframe.head.md
index 3fe62c4..31c72c0 100644
--- a/api-reference/dataframe/danfo.dataframe.head.md
+++ b/api-reference/dataframe/danfo.dataframe.head.md
@@ -4,16 +4,12 @@ description: Returns the first n rows of the DataFrame based on position.
 
 # DataFrame.head
 
-danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+danfo.DataFrame.**head**(rows)&#x20;
 
 | Parameters | Type | Description                  | Default |
 | ---------- | ---- | ---------------------------- | ------- |
 | rows       | Int  | The number of rows to return | 5       |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
 {% tabs %}
@@ -28,7 +24,6 @@ let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
 let df = new dfd.DataFrame(data)
 let s_df = df.head(2)
 s_df.print()
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/danfo.dataframe.iloc.md b/api-reference/dataframe/danfo.dataframe.iloc.md
index ffd7e25..9cd794c 100644
--- a/api-reference/dataframe/danfo.dataframe.iloc.md
+++ b/api-reference/dataframe/danfo.dataframe.iloc.md
@@ -4,15 +4,11 @@ description: Purely integer-location based indexing for selection by position.
 
 # DataFrame.iloc
 
-danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.DataFrame.**iloc**(args)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                         | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                       | Default |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>: Array, index of row position</p><p><strong>columns</strong>: Array, index of position along columns</p><p>}</p> |         |
 
 ## **Examples**
 
@@ -72,7 +68,7 @@ sub_df.print()
 
 ### **Index by a slice of row and return all columns**
 
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included.&#x20;
+The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3. The end index is not included.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,7 +121,6 @@ df.print()
 
 let sub_df = df.iloc({columns: ["1:"]})
 sub_df.print()
-
 ```
 {% endtab %}
 
@@ -168,7 +163,7 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-### Indexing both axes by the specified index
+### Indexing both axis by the specified index
 
 {% tabs %}
 {% tab title="Node" %}
@@ -194,7 +189,6 @@ sub_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -221,7 +215,7 @@ sub_df.print()
 {% endtab %}
 {% endtabs %}
 
-### Indexing both axes by slices
+### Indexing both axis by slices
 
 {% tabs %}
 {% tab title="Node" %}
@@ -237,7 +231,6 @@ df.print()
 
 let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
 sub_df.print()
-
 ```
 {% endtab %}
 
@@ -290,7 +283,6 @@ df.print()
 
 let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
 sub_df.print()
-
 ```
 {% endtab %}
 
@@ -328,4 +320,3 @@ sub_df.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.isna.md b/api-reference/dataframe/danfo.dataframe.isna.md
index 830bda5..34b3f8c 100644
--- a/api-reference/dataframe/danfo.dataframe.isna.md
+++ b/api-reference/dataframe/danfo.dataframe.isna.md
@@ -1,17 +1,13 @@
 ---
 description: >-
-  Return a boolean same-sized object indicating if the values are NaN.
-  NaN/undefined values gets mapped to true values, and everything else gets
-  mapped to false values.
+  Return a boolean same-sized object indicating if the values are missing. NaN.
+  null and undefined values get mapped to true, and everything else gets mapped
+  to false.
 ---
 
-# DataFrame.isna
+# DataFrame.isNa
 
-danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+danfo.DataFrame.**isNa**(kwargs)
 
 ## **Examples**
 
@@ -24,8 +20,7 @@ let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
-df.isna().print()
-
+df.isNa().print()
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/danfo.dataframe.it.md b/api-reference/dataframe/danfo.dataframe.it.md
index 3759197..86ba58a 100644
--- a/api-reference/dataframe/danfo.dataframe.it.md
+++ b/api-reference/dataframe/danfo.dataframe.it.md
@@ -4,20 +4,16 @@ description: Get Less than of DataFrame and other, element-wise (binary operator
 
 # DataFrame.It
 
-danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.l**t**(other, option)&#x20;
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
 | other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
 | option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +54,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -76,7 +72,6 @@ let df_rep = df.lt(sf, { axis: 1 })
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -104,7 +99,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,7 +117,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_rep = df.lt(df2)
 
 df_rep.print()
-
 ```
 {% endtab %}
 
@@ -150,20 +144,21 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with an Array
+### Comparing a DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
+let data = {
+    "Col1": [10, 45, 56, 10],
+    "Col2": [23, 20, 10, 24]
+}
 let df = new dfd.DataFrame(data)
-let val = [10,40]
+let val = [10, 40]
 
-let df_rep = df.lt(val, axis=1)
+let df_rep = df.lt(val, { axis: 1 })
 
 df_rep.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.le.md b/api-reference/dataframe/danfo.dataframe.le.md
index 31ce3f7..559fecd 100644
--- a/api-reference/dataframe/danfo.dataframe.le.md
+++ b/api-reference/dataframe/danfo.dataframe.le.md
@@ -6,20 +6,16 @@ description: >-
 
 # DataFrame.le
 
-danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.le(other, option)
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
 | other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
 | option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -61,7 +57,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -78,7 +74,6 @@ let df_rep = df.le(sf, {axis:1})
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -106,7 +101,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -151,7 +146,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with an Array
+### Comparing a DataFrame with an Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.loc.md b/api-reference/dataframe/danfo.dataframe.loc.md
index abdcdd9..5fa3188 100644
--- a/api-reference/dataframe/danfo.dataframe.loc.md
+++ b/api-reference/dataframe/danfo.dataframe.loc.md
@@ -4,19 +4,15 @@ description: Access a group of rows and columns by label(s)
 
 # DataFrame.loc
 
-danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**loc**(args)
 
-| Parameters | Type   | Description                                                                                                                                            | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                          | Default |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| args       | Object | <p>{</p><p><strong>rows</strong>: Array, labels, Boolean mask of row index</p><p><strong>columns</strong>: Array, labels of column names</p><p>}</p> |         |
 
 ## **Examples**
 
-`.loc()` is  label position based-from `0` to `length-1` of the row axis.
+`.loc()` is label position based-from `0` to `length-1` of the row axis.
 
 Allowed inputs for are:
 
@@ -25,7 +21,7 @@ Allowed inputs for are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+_**Note:** only \*\*\*\* the start label is included, and the end label is ignored._
 
 `.loc` will raise a `ValueEror` if a requested label is not found.
 
@@ -58,7 +54,6 @@ sub_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -169,7 +164,6 @@ sub_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Name              │ Count             │ Price             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -198,7 +192,7 @@ sub_df.print()
 
 ## **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.&#x20;
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -250,14 +244,14 @@ sub_df.print()
 
 {% hint style="info" %}
 Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-df`.loc({ row: [a:e]}).print()`\
+df`.loc({ row: ["a:e"]}).print()`\
 For the slice above to work, you must quote each slice, e.g:\
 df``.loc({ row: [`"a":"e"`]}).print()``\
 \
 _**Inner**_ _**quotes are not needed for numeric indices!**_
 {% endhint %}
 
-### Slice DataFrame rows by boolean condition&#x20;
+### Slice DataFrame rows by boolean condition
 
 {% tabs %}
 {% tab title="Node" %}
@@ -288,13 +282,12 @@ sub_df.print()
 ║ d          │ Pear              │ 10                │ 250               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 
 ### Slice DataFrame rows by multiple boolean conditions
 
 {% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame._&#x20;
+_By design, you can chain as many boolean logic as required, as long as they resolve to a Boolean array of the same length as the DataFrame._
 {% endhint %}
 
 {% tabs %}
@@ -324,13 +317,12 @@ sub_df.print()
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ c          │ Banana            │ 30                │ 40                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 ### Slice DataFrame with boolean mask
 
 {% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._&#x20;
+_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._
 {% endhint %}
 
 {% tabs %}
@@ -363,5 +355,4 @@ sub_df.print()
 ║ d          │ Pear              │ 10                │ 250               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.max.md b/api-reference/dataframe/danfo.dataframe.max.md
index a5c2119..abb2b0a 100644
--- a/api-reference/dataframe/danfo.dataframe.max.md
+++ b/api-reference/dataframe/danfo.dataframe.max.md
@@ -4,16 +4,12 @@ description: Return the maximum of the values for the requested axis.
 
 # DataFrame.max
 
-danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**max**(options)&#x20;
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 ## Return the maximum value along default axis 1 (column)
@@ -22,12 +18,12 @@ danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/dan
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
 
-df.print()
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
 df.max().print()
 ```
 {% endtab %}
@@ -53,15 +49,16 @@ df.max().print()
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 11                   ║
-╟───┼──────────────────────╢
-║ B │ 89                   ║
-╟───┼──────────────────────╢
-║ C │ 78                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 20 ║
+╟───┼────╢
+║ 1 │ 15 ║
+╟───┼────╢
+║ 2 │ 40 ║
+╟───┼────╢
+║ 3 │ 89 ║
+╚═══╧════╝
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -72,12 +69,12 @@ df.max().print()
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
-let df = new dfd.DataFrame(data)
-df.max({axis:0}).print()
+df.max({ axis: 0 }).print()
 ```
 {% endtab %}
 
@@ -102,17 +99,13 @@ df.max({axis:0}).print()
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 15                   ║
-╟───┼──────────────────────╢
-║ 2 │ 40                   ║
-╟───┼──────────────────────╢
-║ 3 │ 89                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ A │ 11 ║
+╟───┼────╢
+║ B │ 89 ║
+╟───┼────╢
+║ C │ 78 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.mean.md b/api-reference/dataframe/danfo.dataframe.mean.md
index 172cff5..7cff35a 100644
--- a/api-reference/dataframe/danfo.dataframe.mean.md
+++ b/api-reference/dataframe/danfo.dataframe.mean.md
@@ -1,10 +1,10 @@
 ---
-description: Return the mean of the values for the requested axis.
+description: Returns the mean of the values for the requested axis.
 ---
 
 # DataFrame.mean
 
-danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**mean**(options)
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
@@ -12,7 +12,7 @@ danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/da
 
 **Returns:**
 
-&#x20;      ****       return **Series**
+\*\*\*\* return **Series**
 
 ## **Examples**
 
@@ -26,9 +26,8 @@ const dfd = require("danfojs-node")
 data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
-df.print()
-
 let df = new dfd.DataFrame(data)
+df.print()
 df.mean().print()
 ```
 {% endtab %}
@@ -54,15 +53,15 @@ df.mean().print()
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 4                    ║
-╟───┼──────────────────────╢
-║ B │ 38.5                 ║
-╟───┼──────────────────────╢
-║ C │ 31.75                ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════╗
+║ 0 │ 11.333333333333334 ║
+╟───┼────────────────────╢
+║ 1 │ 7.333333333333333  ║
+╟───┼────────────────────╢
+║ 2 │ 24                 ║
+╟───┼────────────────────╢
+║ 3 │ 56.333333333333336 ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -77,8 +76,8 @@ const dfd = require("danfojs-node")
 let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 let cols = ["A", "B", "C"]
 
-df.print()
 let df = new dfd.DataFrame(data)
+df.print()
 df.mean({ axis: 0 }).print()
 ```
 {% endtab %}
@@ -92,29 +91,25 @@ df.mean({ axis: 0 }).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11.333333015441895   ║
-╟───┼──────────────────────╢
-║ 1 │ 7.333333492279053    ║
-╟───┼──────────────────────╢
-║ 2 │ 24                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56.33333206176758    ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 20                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════╗
+║ A │ 4     ║
+╟───┼───────╢
+║ B │ 38.5  ║
+╟───┼───────╢
+║ C │ 31.75 ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.median.md b/api-reference/dataframe/danfo.dataframe.median.md
index 3e33583..f94fd72 100644
--- a/api-reference/dataframe/danfo.dataframe.median.md
+++ b/api-reference/dataframe/danfo.dataframe.median.md
@@ -4,19 +4,15 @@ description: Return the median of the values for the requested axis.
 
 # DataFrame.median
 
-danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**median**(options)&#x20;
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
-## Calculates the median of values along default axis 1 (column)
+## Computes the median of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -26,9 +22,8 @@ const dfd = require("danfojs-node")
 data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
-df.print()
-
 let df = new dfd.DataFrame(data)
+df.print()
 df.median().print()
 ```
 {% endtab %}
@@ -42,44 +37,45 @@ df.median().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 2                    ║
-╟───┼──────────────────────╢
-║ B │ 25                   ║
-╟───┼──────────────────────╢
-║ C │ 23                   ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 20                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════╗
+║ 0 │ 11 ║
+╟───┼────╢
+║ 1 │ 6  ║
+╟───┼────╢
+║ 2 │ 30 ║
+╟───┼────╢
+║ 3 │ 78 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-## Calculates the median of values along row axis (0)
+## Computes the median of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
 
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
-let df = new dfd.DataFrame(data)
-df.median({axis:0}).print()
+df.median({ axis: 0 }).print()
 ```
 {% endtab %}
 
@@ -92,29 +88,25 @@ df.median({axis:0}).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11                   ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 30                   ║
-╟───┼──────────────────────╢
-║ 3 │ 78                   ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 20                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════╗
+║ A │ 2  ║
+╟───┼────╢
+║ B │ 25 ║
+╟───┼────╢
+║ C │ 23 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.min.md b/api-reference/dataframe/danfo.dataframe.min.md
index 49a13d6..668c2af 100644
--- a/api-reference/dataframe/danfo.dataframe.min.md
+++ b/api-reference/dataframe/danfo.dataframe.min.md
@@ -4,16 +4,12 @@ description: Return the minimum of the values for the requested axis.
 
 # DataFrame.min
 
-danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**min**(options)
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 ## Returns the minimum value along default axis 1 (column)
@@ -23,12 +19,11 @@ danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/dan
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
-
-let df = new dfd.DataFrame(data)
 df.min().print()
 ```
 {% endtab %}
@@ -54,15 +49,15 @@ df.min().print()
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 1                    ║
-╟───┼──────────────────────╢
-║ B │ 15                   ║
-╟───┼──────────────────────╢
-║ C │ 3                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 2 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -74,12 +69,12 @@ df.min().print()
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
+let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
-let df = new dfd.DataFrame(data)
-df.min({axis: 0}).print()
+df.min({ axis: 0 }).print()
 ```
 {% endtab %}
 
@@ -104,17 +99,13 @@ df.min({axis: 0}).print()
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ A │ 1  ║
+╟───┼────╢
+║ B │ 15 ║
+╟───┼────╢
+║ C │ 3  ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index 18558e6..f3cda7c 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -4,16 +4,12 @@ description: Get Modulo of DataFrame and other, element-wise (binary operator mo
 
 # DataFrame.mod
 
-danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.mod(other, option)
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to modulo with                                                                                                                                                                        |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
 
 ## **Examples**
 
@@ -58,12 +54,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of  **Series with** DataFrame along axis 0
+### Modulo of **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,12 +101,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of  ****  DataFrame with a DataFrame
+### Modulo of DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -130,7 +124,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.mod(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -156,12 +149,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Modulo of **** Array with DataFrame along axis 0
+### Modulo of Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -203,7 +195,6 @@ df_new.print()
 ║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -251,8 +242,6 @@ df.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 3303d77..41b2baf 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -4,20 +4,16 @@ description: Get Multiplication of dataframe and other, element-wise (binary ope
 
 # DataFrame.mul
 
-danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.mul(other, option)&#x20;
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to multiply with                                                                                                                                                                      |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
 
 ## **Examples**
 
-### Multiplication of **scalar to** DataFrame along default axis 1
+### Multiplication of **scalar with** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,7 +56,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of  **Series to** DataFrame along axis 0
+### Multiplication of **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -101,12 +97,11 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 4                 │ 20                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of  ****  DataFrame to a DataFrame
+### Multiplication of DataFrame **with** another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,7 +120,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.mul(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -150,12 +144,11 @@ df_new.print()
 ║ 3          │ 0                 │ 8                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Multiplication of **** Array to DataFrame along axis 0
+### Multiplication of Array **with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -198,7 +191,6 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -245,8 +237,6 @@ df.print()
 ║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.ne.md b/api-reference/dataframe/danfo.dataframe.ne.md
index dd45cf0..36ab6e2 100644
--- a/api-reference/dataframe/danfo.dataframe.ne.md
+++ b/api-reference/dataframe/danfo.dataframe.ne.md
@@ -4,20 +4,20 @@ description: Get Not Equal to of DataFrame and other, element-wise (binary opera
 
 # DataFrame.ne
 
-danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.ne(other, options)&#x20;
 
 | Parameters | Type                             | Description                                                 | Default   |
 | ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
 | other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
+| options    | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
 
 **Returns:**
 
-****
+***
 
 ## **Examples**
 
-### Comparing **** DataFrame with a scalar value:
+### Comparing a DataFrame with a scalar value:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,7 +58,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a Series along the column axis:
+### Comparing a DataFrame with a Series along the column axis:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -74,7 +74,6 @@ let df_rep = df.ne(sf, {axis:1})
 
 df_rep.print()
 
-
 ```
 {% endtab %}
 
@@ -102,7 +101,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a DataFrame
+### Comparing a DataFrame with a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -120,7 +119,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_rep = df.ne(df2)
 
 df_rep.print()
-
 ```
 {% endtab %}
 
@@ -148,7 +146,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-### Comparing **** DataFrame with a JavaScript Array
+### Comparing a DataFrame with a JavaScript Array
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index e6f1e6c..8a1bae7 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -6,16 +6,12 @@ description: >-
 
 # DataFrame.pow
 
-danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.pow(other, option)&#x20;
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to raised to power with                                                                                                                                                               |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
 
 ## **Examples**
 
@@ -60,12 +56,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponential of  **Series with** DataFrame along axis 0
+### Exponential of **Series with** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -108,12 +103,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponential of  ****  DataFrame with a DataFrame
+### Exponential of DataFrame with another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -132,7 +126,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.pow(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -158,12 +151,11 @@ df_new.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Exponential of **** Array with DataFrame along axis 0
+### Exponential of Array with DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -205,7 +197,6 @@ df_new.print()
 ║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -253,8 +244,6 @@ df.print()
 ╚════════════╧═══════════════════╧═══════════════════╝
 
 
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.query.md b/api-reference/dataframe/danfo.dataframe.query.md
index 129c8e7..2d43b1e 100644
--- a/api-reference/dataframe/danfo.dataframe.query.md
+++ b/api-reference/dataframe/danfo.dataframe.query.md
@@ -1,20 +1,14 @@
 ---
-description: >-
-  Query the DataFrame by the result of a logical comparison or boolean mask.
-  Supports logical operations like (">", "<", ">=", "<=", and. "==")
+description: Query the DataFrame by the result of a logical comparison or boolean mask.
 ---
 
 # DataFrame.query
 
-danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
+danfo.DataFrame.**query**(kwargs)
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
-| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                  | Default                                                                                        |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------- |
+| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column</p><p><strong>is:</strong> Logical operator, one of ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true</p> | <p>false. Whether to perform operation to the original Object or create a new one.</p><p>}</p> |
 
 ## **Examples**
 
@@ -25,14 +19,16 @@ Querying by a boolean condition is supported from v0.3.0 and above.
 {% endhint %}
 
 ```javascript
+const dfd = require("danfojs-node")
+
 let data = {
     "A": ["Ng", "Yu", "Mo", "Ng"],
     "B": [34, 4, 5, 6],
     "C": [20, 20, 30, 40]
 }
 let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5) })
+df.print()
+let query_df = df.query(df["B"].gt(5))
 query_df.print() //after query
 ```
 
@@ -40,38 +36,69 @@ query_df.print() //after query
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
+║ 0          │ Ng                │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Yu                │ 4                 │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Mo                │ 5                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Ng                │ 6                 │ 40                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Ng                │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
+║ 3          │ Ng                │ 6                 │ 40                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
+It also supports condition chaining as long as the final boolean mask is the same length as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
 
 ```javascript
+const dfd = require("danfojs-node")
+
 let data = {
     "A": ["Ng", "Yu", "Mo", "Ng"],
     "B": [34, 4, 5, 6],
     "C": [20, 20, 30, 40]
 }
 let df = new dfd.DataFrame(data)
+df.print()
 
-let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
+let query_df = df.query(df["B"].gt(5).and(df["C"].lt(40)))
 query_df.print() //after query
+```
 
-//output
+```
+// output
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 0          │ Ng                │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ Yu                │ 4                 │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ Mo                │ 5                 │ 30                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ Ng                │ 6                 │ 40                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ Ng                │ 34                │ 20                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ## **Query a DataFrame using logical operators**
 
-To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
+{% hint style="info" %}
+This is only supported in older versions. That is versions lower than v1.0.0
+{% endhint %}
+
+To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,59 +152,13 @@ query_df.print() //after query
 {% endtab %}
 {% endtabs %}
 
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
 ## **Query by a string column in a DataFrame**
 
-The query method also works on string columns.&#x20;
+{% hint style="info" %}
+This is only supported in older versions. That is versions lower than v1.0.0
+{% endhint %}
+
+The query method also works on string columns.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -193,7 +174,6 @@ df.print()
 
 let query_df = df.query({ column: "A", is: "==", to: "Ng"})
 query_df.print() //after query
-
 ```
 {% endtab %}
 
@@ -206,7 +186,6 @@ query_df.print() //after query
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -231,48 +210,3 @@ query_df.print() //after query
 ```
 {% endtab %}
 {% endtabs %}
-
-## **Query a DataFrame inplace**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.query({
-    column: "B",
-    is: ">",
-    to: 5,
-    inplace: true
-})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.replace.md b/api-reference/dataframe/danfo.dataframe.replace.md
index 82fa16d..ff4b3db 100644
--- a/api-reference/dataframe/danfo.dataframe.replace.md
+++ b/api-reference/dataframe/danfo.dataframe.replace.md
@@ -4,19 +4,13 @@ description: Replaces values in a DataFrame with specified values
 
 # DataFrame.replace
 
-> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
+> danfo.DataFrame.**replace**(oldValue, newValue, options)
 
-| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
-| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
-| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
-| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
-| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-****
+| Parameters | Type                    | Description                                                                                                                                                                                                                                                | Default          |
+| ---------- | ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
+| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                              |                  |
+| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                       |                  |
+| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {inplace: false} |
 
 ## **Examples**
 
@@ -63,7 +57,7 @@ df_rep.print()
 {% endtab %}
 {% endtabs %}
 
-By not specifying a **** column**,** the **** replace works on all columns ****&#x20;
+If a column name is not specified, **replace** works on all columns:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -76,7 +70,6 @@ let df = new dfd.DataFrame(data)
 let df_rep = df.replace("A", "BOY")
 
 df_rep.print()
-
 ```
 {% endtab %}
 
@@ -89,7 +82,6 @@ df_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```javascript
-
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/danfo.dataframe.round.md b/api-reference/dataframe/danfo.dataframe.round.md
index e12cb52..43a0222 100644
--- a/api-reference/dataframe/danfo.dataframe.round.md
+++ b/api-reference/dataframe/danfo.dataframe.round.md
@@ -4,17 +4,13 @@ description: Round elements in a DataFrame to a specified number of decimal plac
 
 # DataFrame.round
 
-danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**round**(options)
 
 | Parameters | Type   | Description                                                                                        | Default            |
 | ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
 | dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
 | options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
 ## Round elements to 1dp (Default)
@@ -24,8 +20,8 @@ danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/d
 ```javascript
 const dfd = require("danfojs-node")
 
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
+let data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
+let cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
diff --git a/api-reference/dataframe/danfo.dataframe.sample.md b/api-reference/dataframe/danfo.dataframe.sample.md
index b8a4c96..a7e8869 100644
--- a/api-reference/dataframe/danfo.dataframe.sample.md
+++ b/api-reference/dataframe/danfo.dataframe.sample.md
@@ -4,18 +4,12 @@ description: Return a random sample of rows from DataFrame.
 
 # DataFrame.sample
 
-danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
+danfo.DataFrame.**sample**(num, options)
 
-| Parameters | Type | Description                                                                                                                        | Default |
-| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
-| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
-
-**Returns:**
-
-&#x20;      ****       return **{Promies} resolves to DataFrame**
-
-****
+| Parameters | Type    | Description                                                                                                                                 | Default     |
+| ---------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------- | ----------- |
+| num        | Integer | The number of rows to return. Defaults to 5, which shuffles and return all rows.                                                            | 5           |
+| options    | Object  | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples. | { seed: 1 } |
 
 ## Sample a DataFrame randomly
 
@@ -24,20 +18,20 @@ danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9j
 ```javascript
 const dfd = require("danfojs-node")
 
-async function load_data() {
-  let data = {
-    Name: ["Apples", "Mango", "Banana", "Pear"],
-    Count: [21, 5, 30, 10],
-    Price: [200, 300, 40, 250],
-  };
-
-  let df = new dfd.DataFrame(data);
-  let s_df = await df.sample(2);
-  s_df.print();
-  
+async function sample_data() {
+    let data = {
+        Name: ["Apples", "Mango", "Banana", "Pear"],
+        Count: [21, 5, 30, 10],
+        Price: [200, 300, 40, 250],
+    };
+
+    let df = new dfd.DataFrame(data);
+    let s_df = await df.sample(2);
+    s_df.print();
+
 }
 
-load_data()
+sample_data()
 ```
 {% endtab %}
 
@@ -63,7 +57,7 @@ load_data()
 
 ## Sample a DataFrame randomly with seed
 
-By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.&#x20;
+By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -106,7 +100,6 @@ load_data()
 ║ 0          │ Apples            │ 21                │ 200               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.std.md b/api-reference/dataframe/danfo.dataframe.std.md
index 1a37e2e..47169a5 100644
--- a/api-reference/dataframe/danfo.dataframe.std.md
+++ b/api-reference/dataframe/danfo.dataframe.std.md
@@ -4,16 +4,12 @@ description: Return sample standard deviation over requested axis.
 
 # DataFrame.std
 
-danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**std**(options)&#x20;
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
 ## Calculates the standard deviation of values along default axis 1 (column)
@@ -22,10 +18,10 @@ danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/dan
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
 
-let df = new dfd.DataFrame(data)
+let df = new dfd.DataFrame(data, { columns: cols })
 df.std().print()
 ```
 {% endtab %}
@@ -39,15 +35,15 @@ df.std().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4.69041575982343     ║
-╟───┼──────────────────────╢
-║ 1 │ 34.23935357645254    ║
-╟───┼──────────────────────╢
-║ 2 │ 35.103418636936205   ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════╗
+║ 0 │ 8.504900548115383  ║
+╟───┼────────────────────╢
+║ 1 │ 7.094598884597588  ║
+╟───┼────────────────────╢
+║ 2 │ 19.697715603592208 ║
+╟───┼────────────────────╢
+║ 3 │ 47.37439533475159  ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -91,4 +87,3 @@ df.std({axis:0}).print()
 {% endtabs %}
 
 ##
-
diff --git a/api-reference/dataframe/danfo.dataframe.sub.md b/api-reference/dataframe/danfo.dataframe.sub.md
index e36ddcc..9f53957 100644
--- a/api-reference/dataframe/danfo.dataframe.sub.md
+++ b/api-reference/dataframe/danfo.dataframe.sub.md
@@ -4,20 +4,16 @@ description: Get Subtraction of dataframe and other, element-wise (binary operat
 
 # DataFrame.sub
 
-danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
+danfo.DataFrame.sub(other, option)&#x20;
 
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
+| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to subtract                                                                                                                                                                           |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
 
 ## **Examples**
 
-### Subtraction of **scalar to** DataFrame along default axis 1
+### Subtraction of **scalar from** DataFrame along default axis 1
 
 {% tabs %}
 {% tab title="Node" %}
@@ -60,7 +56,7 @@ df_new.print()
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of  **Series to** DataFrame along axis 0
+### Subtraction of **Series from** DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -101,12 +97,11 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ -3                │ -1                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of  ****  DataFrame to a DataFrame
+### Subtraction of DataFrame from another DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,7 +120,6 @@ let df2 = new dfd.DataFrame(data2)
 let df_new = df.sub(df2)
 
 df_new.print()
-
 ```
 {% endtab %}
 
@@ -149,12 +143,11 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ -10               │ 2                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Subtraction of **** Array to DataFrame along axis 0
+### Subtraction of Array from DataFrame along axis 0
 
 {% tabs %}
 {% tab title="Node" %}
@@ -196,7 +189,6 @@ df_new.print()
 ║ 3          │ 8                 │ 22                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -243,8 +235,6 @@ df.print()
 ║ 3          │ 8                 │ 22                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/dataframe/danfo.dataframe.sum.md b/api-reference/dataframe/danfo.dataframe.sum.md
index 3937d3f..46ac59f 100644
--- a/api-reference/dataframe/danfo.dataframe.sum.md
+++ b/api-reference/dataframe/danfo.dataframe.sum.md
@@ -4,19 +4,15 @@ description: Return the sum of the values for the requested axis.
 
 # DataFrame.sum
 
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**sum**(options)&#x20;
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
-## Sum elements along default axis (column)
+## Sum elements along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -55,13 +51,15 @@ df_sum.print()
 ║ 3          │ -20               │ 6                 │ -40               ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤════════════════════╗
-║ A │ 37.199999999999996 ║
-╟───┼────────────────────╢
-║ B │ 41                 ║
-╟───┼────────────────────╢
-║ C │ -10                ║
-╚═══╧════════════════════╝
+╔═══╤══════╗
+║ 0 │ 33.9 ║
+╟───┼──────╢
+║ 1 │ 6    ║
+╟───┼──────╢
+║ 2 │ 82.3 ║
+╟───┼──────╢
+║ 3 │ -54  ║
+╚═══╧══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -105,17 +103,13 @@ df_sum.print()
 ║ 3 │ -20               │ 6                 │ -40               ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ sum                  ║
-╟───┼──────────────────────╢
-║ 0 │ 33.9                 ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 82.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -54                  ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════╗
+║ A │ 37.199999999999996 ║
+╟───┼────────────────────╢
+║ B │ 41                 ║
+╟───┼────────────────────╢
+║ C │ -10                ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.tail.md b/api-reference/dataframe/danfo.dataframe.tail.md
index 165acac..0913390 100644
--- a/api-reference/dataframe/danfo.dataframe.tail.md
+++ b/api-reference/dataframe/danfo.dataframe.tail.md
@@ -4,16 +4,12 @@ description: Returns the last n rows from the DataFrame based on position.
 
 # DataFrame.tail
 
-danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
+danfo.DataFrame.**tail**(rows)
 
 | Parameters | Type | Description                  | Default |
 | ---------- | ---- | ---------------------------- | ------- |
 | rows       | Int  | The number of rows to return | 5       |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
 {% tabs %}
@@ -28,7 +24,6 @@ let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
 let df = new dfd.DataFrame(data)
 let s_df = df.tail(3)
 s_df.print()
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/danfo.dataframe.var.md b/api-reference/dataframe/danfo.dataframe.var.md
index ea0daf2..e84331b 100644
--- a/api-reference/dataframe/danfo.dataframe.var.md
+++ b/api-reference/dataframe/danfo.dataframe.var.md
@@ -4,28 +4,26 @@ description: Return unbiased variance over requested axis.
 
 # DataFrame.var
 
-danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
+danfo.DataFrame.**var**(options)
 
 | Parameters | Type   | Description                                                                         | Default     |
 | ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
 | options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
 
-**Returns:**
-
-&#x20;      ****       return **Series**
-
 ## **Examples**
 
-## Calculate variance of values along default axis 1 (column)
+## Computes the variance of values along default axis 1 (column)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
 
-let df = new dfd.DataFrame(data)
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
 df.var().print()
 ```
 {% endtab %}
@@ -39,30 +37,44 @@ df.var().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 22                   ║
-╟───┼──────────────────────╢
-║ 1 │ 1172.3333333333333   ║
-╟───┼──────────────────────╢
-║ 2 │ 1232.25              ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 20                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤═══════════════════╗
+║ 0 │ 72.33333333333334 ║
+╟───┼───────────────────╢
+║ 1 │ 50.33333333333333 ║
+╟───┼───────────────────╢
+║ 2 │ 388               ║
+╟───┼───────────────────╢
+║ 3 │ 2244.333333333333 ║
+╚═══╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-## Calculate variance of values along row axis (0)
+## Computes the variance of values along row axis (0)
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
 
-let df = new dfd.DataFrame(data)
-df.var({axis:0}).print()
+let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
+let cols = ["A", "B", "C"]
+
+let df = new dfd.DataFrame(data, { columns: cols })
+df.print()
+df.var({ axis: 0 }).print()
 ```
 {% endtab %}
 
@@ -75,20 +87,25 @@ df.var({axis:0}).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 72.33333333333334    ║
-╟───┼──────────────────────╢
-║ 1 │ 50.33333333333333    ║
-╟───┼──────────────────────╢
-║ 2 │ 388                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2244.333333333333    ║
-╚═══╧══════════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 11                │ 20                │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1                 │ 15                │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 2                 │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 2                 │ 89                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔═══╤════════════════════╗
+║ A │ 22                 ║
+╟───┼────────────────────╢
+║ B │ 1172.3333333333333 ║
+╟───┼────────────────────╢
+║ C │ 1232.25            ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
-
-
-
diff --git a/api-reference/dataframe/dataframe.append.md b/api-reference/dataframe/dataframe.append.md
index bc2e29d..b8bc62e 100644
--- a/api-reference/dataframe/dataframe.append.md
+++ b/api-reference/dataframe/dataframe.append.md
@@ -4,17 +4,13 @@ description: Adds new row to the end of a DataFrame
 
 # DataFrame.append
 
-danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
+danfo.DataFrame.**append**(values, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
 
-| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
-| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
-| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
-| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type                       | Description                                                                                                                                      | Default                                                 |
+| ---------- | -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
+| values     | Array, Series or DataFrame | Value to append to the DataFrame                                                                                                                 |                                                         |
+| index      | Array                      | The new index value(s) to append to the Series. Must contain the same number of values as`newValues` as they map `1 - 1`.                        |                                                         |
+| options    | Object                     | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
 
 ## **Examples**
 
@@ -32,7 +28,6 @@ df.print()
 
 let new_df = df.append([[20, 40, 60, "d"]], [3])
 new_df.print()
-
 ```
 {% endtab %}
 
@@ -56,8 +51,6 @@ new_df.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- Shape: (4,4) 
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -73,4 +66,4 @@ new_df.print()
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/dataframe/dataframe.apply_map.md b/api-reference/dataframe/dataframe.apply_map.md
index 3819821..55a622c 100644
--- a/api-reference/dataframe/dataframe.apply_map.md
+++ b/api-reference/dataframe/dataframe.apply_map.md
@@ -2,25 +2,21 @@
 description: Apply a function to a Dataframe values element-wise.
 ---
 
-# DataFrame.apply\_map
+# DataFrame.applyMap
 
-danfo.DataFrame.**apply\_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
+danfo.DataFrame.applyMap(callable, options)
 
 | Parameters | Type     | Description                                                           | Default   |
 | ---------- | -------- | --------------------------------------------------------------------- | --------- |
 | callable   | Function | Function to apply to each column or row                               |           |
 | options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
 
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
 ## **Examples**
 
-### Apply a  function to all values in a DataFrame
+### Apply a function to each element in a DataFrame
 
 {% hint style="info" %}
-Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.&#x20;
+Note that the specified function passed to **applyMap** will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.
 {% endhint %}
 
 {% tabs %}
diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index e6434dc..45adf39 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -2,17 +2,13 @@
 description: Cast column of a DataFrame to a specified dtype.
 ---
 
-# DataFrame.astype
+# DataFrame.asType
 
-danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.asType(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                               | Default            |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
+| options    | Object | <p>{</p><p><strong>column</strong>: Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
 
 ## **Examples**
 
@@ -32,7 +28,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 df.ctypes.print()
 
-let df_new = df.astype({column: "A", dtype: "int32"})
+let df_new = df.asType("A", "int32")
 df_new.print()
 
 df.ctypes.print()
@@ -116,12 +112,11 @@ let data = { "A": [-20.1, 30, 47.3, -20] ,
              "D": ["20", "13", "45", "90"] }
 
 let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
+let df_new = df.asType("D", "int32")
 df_new.print()
 
 df_new.ctypes.print()
 
-
 ```
 {% endtab %}
 
@@ -146,18 +141,15 @@ df_new.ctypes.print()
 ║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-
+╔═══╤═════════╗
+║ A │ float32 ║
+╟───┼─────────╢
+║ B │ int32   ║
+╟───┼─────────╢
+║ C │ float32 ║
+╟───┼─────────╢
+║ D │ int32   ║
+╚═══╧═════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -175,12 +167,11 @@ let data = { "A": [-20.1, 30, 47.3, -20] ,
              "D": ["a", "b", "c", "c"] }
 
 let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
+let df_new = df.asType("D","int32")
 df_new.print()
 
 df_new.ctypes.print()
 
-
 ```
 {% endtab %}
 
@@ -193,7 +184,6 @@ df_new.ctypes.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -206,17 +196,15 @@ df_new.ctypes.print()
 ║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ A │ float32 ║
+╟───┼─────────╢
+║ B │ int32   ║
+╟───┼─────────╢
+║ C │ float32 ║
+╟───┼─────────╢
+║ D │ int32   ║
+╚═══╧═════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/dataframe.axes.md b/api-reference/dataframe/dataframe.axes.md
index 399a0a4..388d0cb 100644
--- a/api-reference/dataframe/dataframe.axes.md
+++ b/api-reference/dataframe/dataframe.axes.md
@@ -1,17 +1,12 @@
 ---
 description: >-
-  Return an Object containing the axes of the DataFrame. It has the row axis
-  labels and column axis labels as the only members. They are returned in that
-  order.
+  Return an Object containing the axis of the DataFrame. It has the row axis
+  labels and column axis labels as the only members.
 ---
 
 # DataFrame.axis
 
-danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Object**
+danfo.DataFrame.**axis**&#x20;
 
 ## **Examples**
 
@@ -28,7 +23,6 @@ let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
 
 console.log(df.axis)
 
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/dataframe.drop.md b/api-reference/dataframe/dataframe.drop.md
index 0b742aa..3ea14a2 100644
--- a/api-reference/dataframe/dataframe.drop.md
+++ b/api-reference/dataframe/dataframe.drop.md
@@ -6,21 +6,21 @@ description: >-
 
 # DataFrame.drop
 
-danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**drop**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
-| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                        | Default                 |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------- |
+| options    | Object | <p>{</p><p><strong>columns</strong>: Array of column names to drop.</p><p><strong>index</strong>: Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {\*\*inplace:\*\*false} |
 
 **Returns:**
 
-&#x20;      ****       return **DataFrame**
+\*\*\*\* return **DataFrame**
 
 ## **Examples**
 
 ### Drop columns by specifying the names
 
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -79,7 +79,6 @@ let data = {
 let df = new dfd.DataFrame(data)
 df.drop({ index: [0, 2], inplace: true });
 df.print()
-
 ```
 {% endtab %}
 
@@ -118,7 +117,6 @@ let data = { "A": [-20, 30, 47.3, -20],
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
 df.drop({ index: ["a", "c"], inplace: true });
 df.print()
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/dataframe.dtypes.md b/api-reference/dataframe/dataframe.dtypes.md
index 791d296..489e570 100644
--- a/api-reference/dataframe/dataframe.dtypes.md
+++ b/api-reference/dataframe/dataframe.dtypes.md
@@ -7,15 +7,11 @@ description: >-
 
 # DataFrame.ctypes
 
-danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
-
-**Returns:**
-
-&#x20;      ****       return  **Series**
+danfo.DataFrame.**dtypes**&#x20;
 
 ## **Examples**
 
-Returns auto-generated **** index of a **** DataFrame
+Returns auto-generated  index of a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -59,7 +55,6 @@ Columns with mixed types are represented as **string.**
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = {"A": [-20.1, 30, 47.3, -20],
@@ -97,4 +92,4 @@ df.ctypes.print()
 {% endtab %}
 {% endtabs %}
 
-**Note**: To cast a type, use the [astype](dataframe.astype.md) method.&#x20;
+**Note**: To cast a type, use the [asType](dataframe.astype.md) method.
diff --git a/api-reference/dataframe/dataframe.index.md b/api-reference/dataframe/dataframe.index.md
index a185e63..d38c7b5 100644
--- a/api-reference/dataframe/dataframe.index.md
+++ b/api-reference/dataframe/dataframe.index.md
@@ -4,11 +4,11 @@ description: The index (row labels) of the DataFrame.
 
 # DataFrame.index
 
-danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
+danfo.DataFrame.**index**&#x20;
 
 ## **Examples**
 
-Returns auto-generated **** index of a **** DataFrame
+Returns auto-generated  index of a DataFrame
 
 {% tabs %}
 {% tab title="Node" %}
@@ -38,8 +38,6 @@ console.log(df.index);
 {% endtab %}
 {% endtabs %}
 
-
-
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
diff --git a/api-reference/dataframe/dataframe.ndim.md b/api-reference/dataframe/dataframe.ndim.md
index c64dd09..d35bfb9 100644
--- a/api-reference/dataframe/dataframe.ndim.md
+++ b/api-reference/dataframe/dataframe.ndim.md
@@ -1,16 +1,12 @@
 ---
 description: >-
-  Return an int representing the number of axes / array dimensions. Returns 1 if
-  Series. Otherwise return 2 for DataFrame.
+  Return an integer representing the number of dimensions. Returns 1 if Series.
+  Otherwise return 2 for DataFrame.
 ---
 
 # DataFrame.ndim
 
-danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
+danfo.DataFrame.**ndim**&#x20;
 
 **Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
 
@@ -27,7 +23,6 @@ let data = {"A": [-20.1, 30, 47.3, -20],
 let df = new dfd.DataFrame(data)
 
 console.log(df.ndim)
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/dataframe.nunique-1.md b/api-reference/dataframe/dataframe.nunique-1.md
index 8166904..177b0ec 100644
--- a/api-reference/dataframe/dataframe.nunique-1.md
+++ b/api-reference/dataframe/dataframe.nunique-1.md
@@ -1,18 +1,18 @@
-# DataFrame.nunique
+---
+description: Returns the number of unique elements in a column, across the specified axis.
+---
 
-danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
+# DataFrame.nUnique
 
-| Parameters | Type | Description                            | Default |
-| ---------- | ---- | -------------------------------------- | ------- |
-| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
+danfo.DataFrame.nUnique(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
 
-**Returns:**
-
-&#x20;      ****       return **Series**
+| Parameters | Type | Description                           | Default |
+| ---------- | ---- | ------------------------------------- | ------- |
+| axis       | Int  | 0 for row axis, and 1 for column axis | 1       |
 
 ## **Examples**
 
-### Return number of unique values along column axis (axis=1)
+### Return number of unique values along default axis (axis=1)
 
 {% tabs %}
 {% tab title="Node" %}
@@ -26,7 +26,6 @@ let data = { "A": [-20, 30, 47.3, -20] ,
 
 let df = new dfd.DataFrame(data)
 df.nunique().print()
-
 ```
 {% endtab %}
 
@@ -40,15 +39,14 @@ df.nunique().print()
 {% tab title="Output" %}
 ```
 ╔═══╤═══╗
-║ 0 │ 3 ║
+║ 0 │ 4 ║
 ╟───┼───╢
 ║ 1 │ 4 ║
 ╟───┼───╢
-║ 2 │ 2 ║
+║ 2 │ 4 ║
 ╟───┼───╢
-║ 3 │ 3 ║
+║ 3 │ 4 ║
 ╚═══╧═══╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -66,8 +64,7 @@ let data = { "A": [-20, 30, 47.3, -20] ,
              "D": ["a", "b", "c", "c"] }
 
 let df = new dfd.DataFrame(data)
-df.nunique(axis=0).print()
-
+df.nUnique(axis=0).print()
 ```
 {% endtab %}
 
@@ -80,19 +77,17 @@ df.nunique(axis=0).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ A │ 3 ║
+╟───┼───╢
+║ B │ 4 ║
+╟───┼───╢
+║ C │ 2 ║
+╟───┼───╢
+║ D │ 3 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
 
-**Note:** To get the unique elements along an axis, use **** [DataFrame.unique.](dataframe.nunique-1.md)
+**Note:** To get the unique elements along an axis, see [DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference/dataframe/dataframe.print.md b/api-reference/dataframe/dataframe.print.md
index d03232d..be750a9 100644
--- a/api-reference/dataframe/dataframe.print.md
+++ b/api-reference/dataframe/dataframe.print.md
@@ -6,7 +6,7 @@ description: >-
 
 # DataFrame.print
 
-danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+danfo.DataFrame.**print()**&#x20;
 
 ## **Examples**
 
@@ -34,7 +34,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Abs               │ Count             │ country code      ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -77,28 +76,29 @@ console.log(String(df));
 {% tab title="Output" %}
 ```
 DataFrame {
+  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 4, 5 ], [ 'NG', 'FR', 'GH' ] ],
+  '$index': [ 0, 1, 2 ],
+  '$columns': [ 'Abs', 'Count', 'country code' ],
+  '$dtypes': [ 'float32', 'int32', 'string' ],
   '$isSeries': false,
   '$config': Configs {
     tableDisplayConfig: {},
     tableMaxRow: 10,
-    tableMaxColInConsole: 21,
-    dtypeTestLim: 7,
+    tableMaxColInConsole: 10,
+    dtypeTestLim: 20,
     lowMemoryMode: false
   },
-  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
-  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
-  '$index': [ 0, 1, 2 ],
-  '$dtypes': [ 'float32', 'int32', 'string' ],
-  '$columns': [ 'Abs', 'Count', 'country code' ]
+  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 4, 'FR' ], [ 47.3, 5, 'GH' ] ]
 }
+
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ Abs               │ Count             │ country code      ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 0          │ 20.2              │ 34                │ NG                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ FR                ║
+║ 1          │ 30                │ 4                 │ FR                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ GH                ║
+║ 2          │ 47.3              │ 5                 │ GH                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
diff --git a/api-reference/dataframe/dataframe.rename.md b/api-reference/dataframe/dataframe.rename.md
index c33ce99..fae6861 100644
--- a/api-reference/dataframe/dataframe.rename.md
+++ b/api-reference/dataframe/dataframe.rename.md
@@ -1,40 +1,39 @@
 ---
 description: >-
-  Change axes labels. Object values must be unique (1-to-1). Labels not
+  Change axis labels. Object values must be unique (1-to-1). Labels not
   contained in a dict / Series will be left as-is. Extra labels listed don’t
   throw an error.
 ---
 
 # DataFrame.rename
 
-danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**rename**(mapper, options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
-| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters  | Type   | Description                                                                                                                                                                  | Default                                                                                   |
+| ----------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
+| **mapper**  | Object | **L**abels and transformations to apply to that axis’ values.                                                                                                                |                                                                                           |
+| **options** | Object | <p><strong>axis</strong>: row=0, columns=1.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>axis</strong> : 1, </p><p><strong>inplace</strong> : false</p><p>}</p> |
 
 ## **Examples**
 
-### Rename columns&#x20;
+### Rename columns
 
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
+By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5],
-             "C": [20, 2, 30] }
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, -4, 5],
+    "C": [20, 2, 30]
+}
 
 
 let df = new dfd.DataFrame(data)
-df.rename({ mapper: {"A": "new_name"},inplace: true })
+df.rename({ "A": "new_name" }, { inplace: true })
 df.print()
 ```
 {% endtab %}
@@ -48,15 +47,15 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ new_name          │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -20               │ 34                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 30                │ -4                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 47.3              │ 5                 │ 30                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -74,9 +73,9 @@ let data = { "A": [-20, 30, 47.3],
 
 
 let df = new dfd.DataFrame(data)
-df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
-df.print()
 
+df = df.rename({ A: "new_name", C: "new_c" })
+df.print()
 ```
 {% endtab %}
 
@@ -89,7 +88,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ new_name          │ B                 │ new_c             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -118,9 +116,8 @@ let data = {
 
 
 let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df = df.rename({ mapper: { "a": 0 }, axis: 0 })
+df = df.rename({ "a": 0 }, { axis: 0 })
 df.print()
-
 ```
 {% endtab %}
 
@@ -133,7 +130,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ B                 │ C                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
diff --git a/api-reference/dataframe/dataframe.reset_index.md b/api-reference/dataframe/dataframe.reset_index.md
index ddee8e0..410842c 100644
--- a/api-reference/dataframe/dataframe.reset_index.md
+++ b/api-reference/dataframe/dataframe.reset_index.md
@@ -1,18 +1,18 @@
 ---
-description: Reset the index of the DataFrame, and use the default one instead.
+description: Resets the index of the DataFrame, and use the default one instead.
 ---
 
-# DataFrame.reset\_index
+# DataFrame.resetIndex
 
-danfo.DataFrame.**reset\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.resetIndex(options)
 
-| Parameters | Type   | Description                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object | <p><strong>{</strong> </p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
+| Parameters | Type   | Description                                                                                                                                                              | Default               |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------- |
+| options    | Object | <p><strong>{</strong></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | { **inplace**: false} |
 
 **Returns:**
 
-&#x20;      ****       return **DataFrame**
+\*\*\*\* return **DataFrame**
 
 ## **Examples**
 
@@ -31,8 +31,8 @@ let data = {
 let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
 df.print()
 
-df.reset_index({ inplace: true }) //inplace
-//df = df.reset_index() //not in inplace
+df.resetIndex({ inplace: true }) //inplace
+//df = df.resetIndex() //not in inplace
 
 df.print()
 ```
@@ -47,7 +47,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -67,7 +66,6 @@ df.print()
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 2          │ 47.3              │ 6                 │ 30                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/dataframe.select_dtypes.md b/api-reference/dataframe/dataframe.select_dtypes.md
index ba5044e..0623ca7 100644
--- a/api-reference/dataframe/dataframe.select_dtypes.md
+++ b/api-reference/dataframe/dataframe.select_dtypes.md
@@ -2,17 +2,13 @@
 description: Return a subset of the DataFrame’s columns based on the column dtypes.
 ---
 
-# DataFrame.select\_dtypes
+# DataFrame.selectDtypes
 
-danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
+danfo.DataFrame.selectDtypes()
 
-| Parameters | Type  | Description                      | Default |
-| ---------- | ----- | -------------------------------- | ------- |
-| include    | Array | List of column dtypes to return  |         |
-
-**Returns:**
-
-&#x20;      ****       return  **DataFrame**
+| Parameters | Type  | Description                     | Default |
+| ---------- | ----- | ------------------------------- | ------- |
+| include    | Array | List of column dtypes to return |         |
 
 ## **Examples**
 
@@ -28,15 +24,15 @@ let data = {"A": [-20.1, 30, 47.3, -20],
             
 let df = new dfd.DataFrame(data)
 
-float_df = df.select_dtypes(['float32'])
+
+float_df = df.selectDtypes(['float32'])
 float_df.print()
 
-mix_df = df.select_dtypes(include=['float32', "int32"])
+mix_df = df.selectDtypes(['float32', "int32"])
 mix_df.print()
 
-str_df = df.select_dtypes(include=['string'])
+str_df = df.selectDtypes(['string'])
 str_df.print()
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/dataframe.set_index.md b/api-reference/dataframe/dataframe.set_index.md
index e82c213..4ff9b50 100644
--- a/api-reference/dataframe/dataframe.set_index.md
+++ b/api-reference/dataframe/dataframe.set_index.md
@@ -4,13 +4,13 @@ description: >-
   length).
 ---
 
-# DataFrame.set_index
+# DataFrame.setIndex
 
-danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.setIndex(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
-| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                             | Default                                  |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
+| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p><strong>column</strong>: A column name to set the index to.</p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, \*\*inplace:\*\*false} |
 
 ## **Examples**
 
@@ -29,7 +29,7 @@ let data = { "A": [-20, 30, 47.3],
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
 df.print()
 
-df.set_index({column: "A", inplace: true})
+df.setIndex({column: "A", inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -66,8 +66,6 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-### ****
-
 ### **Setting index to a column in the DataFrame and dropping the column**
 
 {% tabs %}
@@ -83,7 +81,7 @@ let data = { "A": [-20, 30, 47.3],
 let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
 df.print()
 
-df.set_index({column: "A", drop: true, inplace: true})
+df.setIndex({column: "A", drop: true, inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -136,7 +134,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_index = ["a", "b", "c"]
-df.set_index({index: new_index, inplace: true})
+df.setIndex({index: new_index, inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -173,4 +171,4 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
+**Note:** To reset an index to the default values, use the [DataFrame.resetIndex](dataframe.reset\_index.md).
diff --git a/api-reference/dataframe/dataframe.shape.md b/api-reference/dataframe/dataframe.shape.md
index 746491d..e773461 100644
--- a/api-reference/dataframe/dataframe.shape.md
+++ b/api-reference/dataframe/dataframe.shape.md
@@ -4,11 +4,7 @@ description: Returns an Array representing the dimensionality of the DataFrame.
 
 # DataFrame.shape
 
-danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
+danfo.DataFrame.**shape**&#x20;
 
 ## **Examples**
 
@@ -24,7 +20,6 @@ let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
 
 console.log(df.shape)
 
-
 ```
 {% endtab %}
 
diff --git a/api-reference/dataframe/dataframe.sort_index.md b/api-reference/dataframe/dataframe.sort_index.md
index 81d5b7f..9d867c0 100644
--- a/api-reference/dataframe/dataframe.sort_index.md
+++ b/api-reference/dataframe/dataframe.sort_index.md
@@ -2,17 +2,17 @@
 description: Sort DataFrame by index
 ---
 
-# DataFrame.sort\_index
+# DataFrame.sortIndex
 
-DataFrame.**sort\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
+DataFrame.sortIndex(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
 
-| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
+| Parameters | Type   | Description                                                                                                                                                                             | Default                                      |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- |
+| options    | Object | <p>{</p><p><strong>ascending</strong>: Sorting order.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, \*\*inplace:\*\*false} |
 
 **Returns:**
 
-&#x20;      ****       return **DataFrame**
+\*\*\*\* return **DataFrame**
 
 ## **Examples**
 
@@ -31,7 +31,7 @@ let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
                            index: ["b", "a", "c"] })
 df.print()
 
-let df2 = df.sort_index({ ascending: false })
+let df2 = df.sortIndex({ ascending: false })
 df2.print()
 ```
 {% endtab %}
@@ -71,4 +71,4 @@ df2.print()
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 54345b1..9aedc7b 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -2,17 +2,14 @@
 description: Sort a Dataframe in ascending or descending order by a specified column name.
 ---
 
-# DataFrame.sort\_values
+# DataFrame.sortValues
 
-danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+danfo.DataFrame.**sortValues**(by, options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                                                                                  |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
+| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                                                                |                                                                                          |
+| options    | Object | <p>Optional configuratio<strong>n:</strong> </p><p><strong></strong></p><p><strong>ascending:</strong> Order of sorting </p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
 
 ## **Examples**
 
@@ -23,13 +20,15 @@ danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensourc
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
+let data = {
+    "A": [-20, 30, 47.3],
+    "B": [34, 5, 6],
+    "C": [20, 3, 30]
+}
 
 
 let df = new dfd.DataFrame(data)
-df.sort_values({by: "C", inplace: true})
+df.sortValues("C", { inplace: true })
 df.print()
 ```
 {% endtab %}
@@ -43,7 +42,6 @@ df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -62,7 +60,6 @@ df.print()
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 let data = { "A": [-20, 30, 47.3],
@@ -70,8 +67,9 @@ let data = { "A": [-20, 30, 47.3],
              "C": [20, 3, 30] }
 
 
+
 let df = new dfd.DataFrame(data)
-df.sort_values({by: "B", inplace: true, ascending: false})
+df.sortValues("C", { ascending: false, inplace: true })
 df.print()
 ```
 {% endtab %}
diff --git a/api-reference/dataframe/dataframe.tensor.md b/api-reference/dataframe/dataframe.tensor.md
index 822886e..3a3eea6 100644
--- a/api-reference/dataframe/dataframe.tensor.md
+++ b/api-reference/dataframe/dataframe.tensor.md
@@ -1,18 +1,14 @@
 ---
 description: >-
-  Return a Tensorflow tensor representation of the DataFrame. Only the values in
-  the DataFrame will be returned, the axes labels will be removed.
+  Return a Tensorflow tensor of the DataFrame. Only the values in the DataFrame
+  will be returned, the axis labels will be removed.
 ---
 
 # DataFrame.tensor
 
-danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+danfo.DataFrame.**tensor**&#x20;
 
-**Returns:**
-
-&#x20;      ****       return **tf.tensor**
-
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care.&#x20;
+> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with NaN. Use with care.
 
 ## **Examples**
 
@@ -46,6 +42,19 @@ tf_tensor.print()
 {% tab title="Output" %}
 ```
 float32
+
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 4, 3 ],
+  dtype: 'float32',
+  size: 12,
+  strides: [ 3 ],
+  dataId: {},
+  id: 0,
+  rankType: '2'
+}
+
 Tensor
     [[-20       , 34, 20],
      [30        , -4, 20],
@@ -55,7 +64,7 @@ Tensor
 {% endtab %}
 {% endtabs %}
 
-String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.&#x20;
+String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 8e84e9a..504cbcc 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -1,17 +1,17 @@
 ---
-description: Convert DataFrame data to a comma-separated values (csv)
+description: Convert DataFrame to a comma-separated values (CSV)
 ---
 
-# DataFrame.to\_csv
+# DataFrame.toCSV
 
-DataFrame.**to\_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
+DataFrame.toCSV(options)&#x20;
 
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |                                            |
+| -------------- | ---------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | Default                                    |
+| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p></p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p></p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p> | <p>{<br><strong>sep</strong>: ","<br>}</p> |
 
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+The **toCSV** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
 ***
 
@@ -30,7 +30,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const csv = df.to_csv({ download: false });
+const csv = df.toCSV();
 console.log(csv);
 
 //output
@@ -75,7 +75,7 @@ Abs,Count,country code
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame to CSV string and write to file path
+### Convert DataFrame to CSV and write to local file path
 
 Writing a CSV file to a local file path is only supported in the Nodejs environment
 
@@ -91,13 +91,12 @@ let data = {
 };
 
 let df = new dfd.DataFrame(data);
-
-df.to_csv({ filePath: "testOut.csv"});
+ df.toCSV({ filePath: "testOut.csv"});
 ```
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame to CSV string and download file in browser
+### Convert DataFrame to CSV and download file in browser
 
 You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
 
@@ -110,5 +109,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_csv({ fileName: "testOut.csv", download: true});
+df.toCSV({ fileName: "testOut.csv", download: true});
 ```
diff --git a/api-reference/dataframe/dataframe.to_excel.md b/api-reference/dataframe/dataframe.to_excel.md
index 4adf437..38f6abb 100644
--- a/api-reference/dataframe/dataframe.to_excel.md
+++ b/api-reference/dataframe/dataframe.to_excel.md
@@ -4,15 +4,15 @@ description: >-
   download in browser.
 ---
 
-# DataFrame.to_excel
+# DataFrame.toExcel
 
-> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+> DataFrame.toExcel(options)&#x20;
 
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                                                                  |
+| -------------- | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.</p><p><br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p></p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
 
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+The **toExcel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
 
 ### Convert DataFrame to Excel and write to file path
 
@@ -31,14 +31,14 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_excel({ filePath: "testOut.xlsx"});
+df.toExcel({ filePath: "testOut.xlsx"});
 ```
 {% endtab %}
 {% endtabs %}
 
 ### Convert DataFrame to Excel and download the file in a browser
 
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`.
 
 ```javascript
 let data = {
@@ -49,5 +49,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_excel({ fileName: "testOut.xlsx"});
+df.toExcel({ fileName: "testOut.xlsx", download: true });
 ```
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 326f422..b1f043a 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -2,16 +2,16 @@
 description: Convert DataFrame to JSON format
 ---
 
-# DataFrame.to\_json
+# DataFrame.toJSON
 
-> DataFrame.**to\_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+> DataFrame.toJSON(options)&#x20;
 
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
-| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
+| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | Default                                                         |
+| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p></p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
 
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+The **toJSON** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
 ### Convert DataFrame/Series to JSON and return value
 
@@ -28,7 +28,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const jsonObj = df.to_json({ download: false }); //column format
+const jsonObj = df.toJSON(); //defaults to column format
 console.log(jsonObj);
 
 //output
@@ -39,12 +39,12 @@ console.log(jsonObj);
 ]
 
 //row format
-const jsonObj = df.to_json({
-    download: false,
+const jsonObjRow = df.toJSON({
     format: "row"
 });
+  
 
-console.log(jsonObj);
+console.log(jsonObjRow);
 //output
 {
   Abs: [ 20.2, 30, 47.3 ],
@@ -88,7 +88,7 @@ console.log(jsonObj);
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame/Series to JSON and write to file path
+### Convert DataFrame/Series to JSON and write to local file path
 
 Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
 
@@ -105,7 +105,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_json({ filePath: "./testOutput.json" });
+df.toJSON({ filePath: "./testOutput.json" });
 ```
 {% endtab %}
 {% endtabs %}
@@ -123,5 +123,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-df.to_json({ fileName: "test_out.json" });
+df.toJSON({ fileName: "test_out.json", download: true });
 ```
diff --git a/api-reference/dataframe/dataframe.values.md b/api-reference/dataframe/dataframe.values.md
index 598e395..99c6d6b 100644
--- a/api-reference/dataframe/dataframe.values.md
+++ b/api-reference/dataframe/dataframe.values.md
@@ -4,13 +4,9 @@ description: Return a the JavaScript array representation of the DataFrame.
 
 # DataFrame.values
 
-danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
+danfo.DataFrame.**values**&#x20;
 
-**Returns:**
-
-&#x20;      ****       return **Array**
-
-**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame. &#x20;
+**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor of the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame.
 
 ## **Examples**
 
@@ -26,7 +22,6 @@ let data = {"A": [-20.1, 30, 47.3, -20],
 let df = new dfd.DataFrame(data)
 
 console.log(df.values)
-
 ```
 {% endtab %}
 
diff --git a/api-reference/general-functions/README.md b/api-reference/general-functions/README.md
index 07815b0..52a0787 100644
--- a/api-reference/general-functions/README.md
+++ b/api-reference/general-functions/README.md
@@ -4,24 +4,52 @@ description: Top level functions that can be called from the Danfo namespace
 
 # General Functions
 
-### Data manipulations
+### Data transformation
 
 |                                       |                                                                                                 |
 | ------------------------------------- | ----------------------------------------------------------------------------------------------- |
 | [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
 | [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
-| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
+| [`getDummies`](danfo.get\_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
 
-### Data Processing/Normalization
+### Data Normalization
 
-| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
+| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n\_classes-1.            |
 | ----------------------------------------- | ---------------------------------------------------------------------- |
 | [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
 | [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
 | [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
 
-### Top-level dealing with datetime
+### Working with DateTime
+
+| [`toDateTime`](danfo.to\_datetime.md) | Convert argument to datetime.                                                                         |
+| ------------------------------------- | ----------------------------------------------------------------------------------------------------- |
+| [`dateRange`](danfo.date\_range.md)   | Return a fixed frequency Datetime Index.                                                              |
+|  [Dt](danfo.dt.md)                    | A class that converts strings of Date Time into a usable format, by exposing various helper methods.  |
+
+### Streaming Functions
+
+| [streamCSV](danfo.streamcsv.md)                                        | A function that loads a CSV object as a stream, returning intermediate rows as a DataFrame.              |
+| ---------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| [streamJSON](danfo.streamjson.md)                                      | A function that loads a JSON object as a stream, returning intermediate rows as a DataFrame.             |
+| [streamCSVTransformer](danfo.streamcsvtransformer.md)                  | A function that loads a CSV object as a stream, and applies a map-reduce function to intermediate rows.  |
+| [convertFunctionTotransformer](danfo.-convertfunctiontotransformer.md) | A function to convert any JS function into a Stream transformer.                                         |
+
+
+
+### Utility and Configurations
+
+| [Utils](danfo.utils.md)    | A utility class with helper methods mostly used internally.  |
+| -------------------------- | ------------------------------------------------------------ |
+| [Config](broken-reference) | Base configuration class for NDframe objects                 |
+
+### Strings
+
+| [Str](danfo.str.md) | A class that converts strings into a usable format, by exposing various helper methods. |
+| ------------------- | --------------------------------------------------------------------------------------- |
+
+### Internal Libs
+
+| [tensoflow](danfo.tensorflow.md) | Exported Tensorflow.js library. This helps to avoid duplicated Tensorflow.js library use.  |
+| -------------------------------- | ------------------------------------------------------------------------------------------ |
 
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
-| ------------------------------------ | --------------------------------------- |
-| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference/general-functions/danfo.-convertfunctiontotransformer.md b/api-reference/general-functions/danfo.-convertfunctiontotransformer.md
new file mode 100644
index 0000000..08be24f
--- /dev/null
+++ b/api-reference/general-functions/danfo.-convertfunctiontotransformer.md
@@ -0,0 +1,103 @@
+---
+description: Converts a function to a pipe transformer. Only available in Nodejs version.
+---
+
+# danfo. convertFunctionTotransformer
+
+danfo.**convertFunctionTotransformer**(func)&#x20;
+
+| Parameters | Type     | Description                                                                                                                         | Default |
+| ---------- | -------- | ----------------------------------------------------------------------------------------------------------------------------------- | ------- |
+| **func**   | Function | A valid JavaScript function to convert to a [pipe transformer.](https://nodejs.org/api/stream.html#implementing-a-transform-stream) |         |
+
+**Returns:**
+
+> return A [pipe transformer](https://nodejs.org/api/stream.html#implementing-a-transform-stream) that applies the function to each row of object.
+
+The **convertFunctionTotransformer** takes a function and converts it to a Nodejs stream transformer function which can be used in combination with streamCsvTransformer to incrementally transform large files.&#x20;
+
+## **Converting a function to a transformer**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+/*
+ * A simple function that takes each row of a DataFrame and splits the
+ * name field. 
+*/
+const renamer = (dfRow: DataFrame) => {
+    const dfModified = dfRow["Names"].map((name) => name.split(",")[0])
+    return dfModified
+}
+
+const transformer = dfd.convertFunctionTotransformer(renamer)
+console.log(transformer)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+
+        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+        console.log(data);
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+Transform {
+  _readableState: ReadableState {
+    objectMode: true,
+    highWaterMark: 16,
+    buffer: BufferList { head: null, tail: null, length: 0 },
+    length: 0,
+    pipes: [],
+    flowing: null,
+    ended: false,
+    endEmitted: false,
+    reading: false,
+    sync: false,
+    needReadable: false,
+    emittedReadable: false,
+    readableListening: false,
+    resumeScheduled: false,
+    errorEmitted: false,
+    emitClose: true,
+    autoDestroy: true,
+    destroyed: false,
+    errored: null,
+    closed: false,
+    closeEmitted: false,
+    defaultEncoding: 'utf8',
+    awaitDrainWriters: null,
+    writecb: null,
+    writechunk: null,
+    writeencoding: null
+  }
+}
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/general-functions/danfo.concat.md b/api-reference/general-functions/danfo.concat.md
index e248f46..cb0cde1 100644
--- a/api-reference/general-functions/danfo.concat.md
+++ b/api-reference/general-functions/danfo.concat.md
@@ -4,19 +4,15 @@ description: Concatenate DataFrames and Series along an axis
 
 # danfo.concat
 
-danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**concat**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
-| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                                                                             | Default       |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------- |
+| options    | Object | <p>{</p><p><strong>dfList</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of 0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects</p><p>}</p> | {**axis**: 1} |
 
 ## **Examples**
 
-### **Concatenate two DataFrames along column axis (1)**&#x20;
+### **Concatenate two DataFrames along column axis (1)**
 
 {% tabs %}
 {% tab title="Node" %}
@@ -37,7 +33,7 @@ let df1 = new dfd.DataFrame(data, { columns: colum1 })
 let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 
 
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
+let com_df = dfd.concat({ dfList: [df1, df2], axis: 1 })
 com_df.print()
 ```
 {% endtab %}
@@ -66,7 +62,7 @@ com_df.print()
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two DataFrames along row axis (0)**&#x20;
+### **Concatenate two DataFrames along row axis (0)**
 
 {% tabs %}
 {% tab title="Node" %}
@@ -87,7 +83,7 @@ let df1 = new dfd.DataFrame(data, { columns: colum1 })
 let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 
 
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+let com_df = dfd.concat({ dfList: [df1, df2], axis: 0 })
 com_df.print(10)
 ```
 {% endtab %}
@@ -101,7 +97,6 @@ com_df.print(10)
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -125,7 +120,7 @@ com_df.print(10)
 {% endtab %}
 {% endtabs %}
 
-### **Concatenate two Series along row axis (0)**&#x20;
+### **Concatenate two Series along row axis (0)**
 
 {% tabs %}
 {% tab title="Node" %}
@@ -146,7 +141,7 @@ let df1 = new dfd.DataFrame(data, { columns: colum1 })
 let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 
 
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
+let com_df = dfd.concat({ dfList: [df1, df2], axis: 0 })
 com_df.print(10)
 ```
 {% endtab %}
@@ -160,7 +155,6 @@ com_df.print(10)
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -184,4 +178,4 @@ com_df.print(10)
 {% endtab %}
 {% endtabs %}
 
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
+See also [danfo.merge ](danfo.merge.md)for joining objects based SQL-like joins.
diff --git a/api-reference/general-functions/danfo.date_range.md b/api-reference/general-functions/danfo.date_range.md
index 9c4a337..efcfb4c 100644
--- a/api-reference/general-functions/danfo.date_range.md
+++ b/api-reference/general-functions/danfo.date_range.md
@@ -2,17 +2,13 @@
 description: Return a fixed frequency Dates spread between start and end parameters.
 ---
 
-# danfo.date\_range
+# danfo.dateRange
 
-danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**dateRange**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
-| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters  | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                               |
+| ----------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| **options** | Object | <p>Includes any of the following:</p><p></p><p><strong>start</strong>: Left bound for generating dates.</p><p></p><p><strong>end</strong>: Right bound for generating dates.</p><p></p><p><strong>period</strong> : Number of periods to generate.</p><p></p><p><strong>offSet</strong>: Date range offset</p><p></p><p><strong>freq</strong>: Date range frequency. One of ["M","D","s","H","m","Y"]</p> |
 
 ## **Examples**
 
@@ -21,7 +17,7 @@ danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfoj
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
+let data = new dfd.dateRange({"start":'1/1/2018', period:5, freq:'M'})
 console.log(data);
 ```
 {% endtab %}
@@ -50,7 +46,6 @@ console.log(data);
 </body>
 
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -74,7 +69,7 @@ console.log(data);
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
+let data = new dfd.dateRange({ "start": '1/1/2018', period: 12, freq: 'Y' })
 console.log(data);
 ```
 {% endtab %}
@@ -107,5 +102,5 @@ console.log(data);
 {% endtabs %}
 
 {% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
diff --git a/api-reference/general-functions/danfo.dt.md b/api-reference/general-functions/danfo.dt.md
new file mode 100644
index 0000000..766aacc
--- /dev/null
+++ b/api-reference/general-functions/danfo.dt.md
@@ -0,0 +1,49 @@
+---
+description: Accessor object for date time properties of the Series values.
+---
+
+# danfo.Dt
+
+For example, in the following example, we convert a Series to an `Dt` instance and apply a couple of **DateTime** methods.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Dt, Series } from "danfojs-node-nightly"
+
+const sf = new Series(["1/1/2000", "1/2/2000", "2/3/2000", "1/4/2000", "4/5/2000"])
+const dtS = new Dt(sf)
+
+dtS.dayOfWeekName().print()
+dtS.monthName().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+// output
+╔═══╤═══════════╗
+║ 0 │ Saturday  ║
+╟───┼───────────╢
+║ 1 │ Sunday    ║
+╟───┼───────────╢
+║ 2 │ Thursday  ║
+╟───┼───────────╢
+║ 3 │ Tuesday   ║
+╟───┼───────────╢
+║ 4 │ Wednesday ║
+╚═══╧═══════════╝
+
+╔═══╤══════════╗
+║ 0 │ January  ║
+╟───┼──────────╢
+║ 1 │ January  ║
+╟───┼──────────╢
+║ 2 │ February ║
+╟───┼──────────╢
+║ 3 │ January  ║
+╟───┼──────────╢
+║ 4 │ April    ║
+╚═══╧══════════╝
+
+```
diff --git a/api-reference/general-functions/danfo.get_dummies.md b/api-reference/general-functions/danfo.get_dummies.md
index e53fd81..9af101a 100644
--- a/api-reference/general-functions/danfo.get_dummies.md
+++ b/api-reference/general-functions/danfo.get_dummies.md
@@ -2,18 +2,14 @@
 description: Convert categorical variable into dummy/indicator variables.
 ---
 
-# danfo.get\_dummies
+# danfo.getDummies
 
-danfo.**get\_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**getDummies**(kwargs)&#x20;
 
-| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
-| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
-| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
-| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                                           | Default                                                             |
+| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------- |
+| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                                   |                                                                     |
+| **options** | Object              | <p>These includes: </p><p></p><p><strong>columns</strong>: Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p></p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p></p><p><strong>prefix</strong>: Prefix for the new columns</p> | <p>{</p><p><strong>prefixSeparator</strong>: "-"</p><p>}</p><p></p> |
 
 ## **Examples**
 
@@ -27,7 +23,7 @@ const dfd = require("danfojs-node")
 let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
 let sf1 = new dfd.Series(datasf)
 
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
+let dum_df = dfd.getDummies(sf1, { prefix: "fruit" })
 dum_df.print()
 ```
 {% endtab %}
@@ -41,7 +37,6 @@ dum_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -73,7 +68,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df)
+let dum_df = dfd.getDummies(df)
 dum_df.print()
 ```
 {% endtab %}
@@ -135,7 +130,7 @@ let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
 let df = new dfd.DataFrame(data)
 df.print()
 
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
+let dum_df = dfd.getDummies(df, { columns: ['fruits']})
 dum_df.print()
 ```
 {% endtab %}
diff --git a/api-reference/general-functions/danfo.labelencoder.md b/api-reference/general-functions/danfo.labelencoder.md
index b0745a8..9944f53 100644
--- a/api-reference/general-functions/danfo.labelencoder.md
+++ b/api-reference/general-functions/danfo.labelencoder.md
@@ -4,11 +4,11 @@ description: Encode target labels with value between 0 and n_classes-1.
 
 # danfo.LabelEncoder
 
-class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**LabelEncoder**&#x20;
 
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
+danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.
 
-The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.&#x20;
+The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.
 
 ## **Examples**
 
@@ -17,6 +17,8 @@ The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/m
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+const dfd = require('danfojs-node')
+
 let data = ["dog","cat","man","dog","cat","man","man","cat"]
 let series = new dfd.Series(data)
 
@@ -26,15 +28,10 @@ encode.fit(series)
 console.log(encode);
 
 let sf_enc = encode.transform(series.values)
-sf_enc.print()
+console.log(sf_enc)
 
 let new_sf = encode.transform(["dog","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
+console.log(new_sf)
 ```
 {% endtab %}
 {% endtabs %}
@@ -42,34 +39,12 @@ new_sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╟───┼──────────────────────╢
-║ 5 │ 2                    ║
-╟───┼──────────────────────╢
-║ 6 │ 2                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
+LabelEncoder { '$labels': { dog: 0, cat: 1, man: 2 } }
+[
+  0, 1, 2, 0,
+  1, 2, 2, 1
+]
+[ 0, 2 ]
 ```
 {% endtab %}
 {% endtabs %}
@@ -95,10 +70,10 @@ encode.fit(df['fruits'])
 console.log(encode);
 
 let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
+console.log(sf_enc);
 
-let new_sf = encode.transform(["mango","man"])
-new_sf.print()
+let new_sf = encode.transform(["mango","mane"])
+console.log(new_sf);
 ```
 {% endtab %}
 
@@ -111,30 +86,11 @@ new_sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╚═══╧══════════════════════╝
+LabelEncoder { '$labels': { pear: 0, mango: 1, pawpaw: 2, bean: 3 } }
+[ 0, 1, 2, 1, 3 ]
+[ 1, -1 ]
 ```
 {% endtab %}
 {% endtabs %}
 
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
+See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.getDummies](danfo.get\_dummies.md)
diff --git a/api-reference/general-functions/danfo.merge.md b/api-reference/general-functions/danfo.merge.md
index 0c4b760..63252a3 100644
--- a/api-reference/general-functions/danfo.merge.md
+++ b/api-reference/general-functions/danfo.merge.md
@@ -6,19 +6,15 @@ description: >-
 
 # danfo.merge
 
-danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**merge**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                               |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| options    | Object | <p></p><p><strong>left</strong>: A DataFrame or named Series object.</p><p></p><p><strong>right</strong>: Another DataFrame or named Series object.</p><p></p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects.</p><p></p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner'</p><p></p> |
 
 ## **Examples**
 
-**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
+**danfo.js** merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
 
 danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
 
@@ -26,7 +22,7 @@ For a more intuitive understanding, this [guide](https://pandas.pydata.org/panda
 
 ### **Merging by a single key found in both axis**
 
-By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
+In the following example, we perform an inner join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -48,7 +44,7 @@ let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 df1.print()
 df2.print()
 
-let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
+let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"], how: "inner"})
 merge_df.print()
 ```
 {% endtab %}
@@ -62,7 +58,6 @@ merge_df.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
  //first DataFrame
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Key1              │ Key2              │ A                 │ B                 ║
@@ -105,7 +100,6 @@ merge_df.print()
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -117,7 +111,6 @@ Merging by two keys takes into consideration the keys appearing in both`left` an
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-
 const dfd = require("danfojs-node")
 
 
@@ -190,12 +183,11 @@ merge_df.print()
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
+The how parameter takes other types of joins like left, right and outer join and these are similar to their SQL equivalent
 
 ### Outer join/merge on DataFrame
 
diff --git a/api-reference/general-functions/danfo.minmaxscaler.md b/api-reference/general-functions/danfo.minmaxscaler.md
index d58af8b..a607336 100644
--- a/api-reference/general-functions/danfo.minmaxscaler.md
+++ b/api-reference/general-functions/danfo.minmaxscaler.md
@@ -4,13 +4,13 @@ description: Transform features by scaling each feature to a range of max and mi
 
 # danfo.MinMaxScaler
 
-class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**MinMaxScaler**&#x20;
 
 danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
 
 This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
 
-The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.&#x20;
+The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.
 
 ## **Examples**
 
@@ -34,7 +34,6 @@ scaler.fit(df)
 
 let df_enc = scaler.transform(df)
 df_enc.print()
-
 ```
 {% endtab %}
 
@@ -47,7 +46,6 @@ df_enc.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ 0                 │ 1                 │ 2                 │ 3                 ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -87,13 +85,12 @@ let data = [[100,1000,2000, 3000] ,
             [1, 1, 1, 0]]
 
 let df = new dfd.DataFrame(data)
-let sf = df.iloc({columns: ["0"]})
+let sf = df.iloc({columns: [0]})
 
 scaler.fit(sf)
 
 let df_enc = scaler.transform(sf)
 df_enc.print()
-
 ```
 {% endtab %}
 
@@ -106,7 +103,6 @@ df_enc.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
  Shape: (3,1) 
 
 ╔═══╤═══════════════════╗
diff --git a/api-reference/general-functions/danfo.onehotencoder.md b/api-reference/general-functions/danfo.onehotencoder.md
index 81c913d..8d7c979 100644
--- a/api-reference/general-functions/danfo.onehotencoder.md
+++ b/api-reference/general-functions/danfo.onehotencoder.md
@@ -4,11 +4,11 @@ description: Encode categorical features as a one-hot numeric array.
 
 # danfo.OneHotEncoder
 
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
+class danfo.**OneHotEncoder**&#x20;
 
-danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
+danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.
 
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.&#x20;
+The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.
 
 ## **Examples**
 
@@ -19,9 +19,11 @@ The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/st
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
+let data = {
+    fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
+    Count: [20, 30, 89, 12, 30],
+    Country: ["NG", "NG", "GH", "RU", "RU"]
+}
 
 
 let df = new dfd.DataFrame(data)
@@ -31,15 +33,10 @@ encode.fit(df['fruits'])
 console.log(encode);
 
 let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
+console.log(sf_enc)
 
-let new_sf = encode.transform(["mango","bean"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
+let new_sf = encode.transform(["mango", "bean"])
+console.log(new_sf)
 ```
 {% endtab %}
 {% endtabs %}
@@ -47,32 +44,15 @@ new_sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
+OneHotEncoder { '$labels': [ 'pear', 'mango', 'pawpaw', 'bean' ] }
+[
+  [ 1, 0, 0, 0 ],
+  [ 0, 1, 0, 0 ],
+  [ 0, 0, 1, 0 ],
+  [ 0, 1, 0, 0 ],
+  [ 0, 0, 0, 1 ]
+]
+[ [ 0, 1, 0, 0 ], [ 0, 0, 0, 1 ] ]
 ```
 {% endtab %}
 {% endtabs %}
@@ -81,68 +61,4 @@ new_sf.print()
 **Labels not found in the original data used for fitting are represented with 0s all through**
 {% endhint %}
 
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","woman", "cup"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
+See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.getDummies](danfo.get\_dummies.md)
diff --git a/api-reference/general-functions/danfo.standardscaler.md b/api-reference/general-functions/danfo.standardscaler.md
index 89ce861..323f53d 100644
--- a/api-reference/general-functions/danfo.standardscaler.md
+++ b/api-reference/general-functions/danfo.standardscaler.md
@@ -4,7 +4,7 @@ description: Standardize features by removing the mean and scaling to unit varia
 
 # danfo.StandardScaler
 
-class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+class danfo.**StandScaler**&#x20;
 
 danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
 
@@ -12,7 +12,7 @@ danfo.js provides the StandardScaler class for the standardization of DataFrame
 
 where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
 
-The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.&#x20;
+The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.
 
 ## **Examples**
 
@@ -44,29 +44,25 @@ sf_enc.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 100                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1000                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 3 │ 3000                 ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1.1375757455825806  ║
-╟───┼──────────────────────╢
-║ 1 │ -0.4191068708896637  ║
-╟───┼──────────────────────╢
-║ 2 │ 0.37919193506240845  ║
-╟───┼──────────────────────╢
-║ 3 │ 1.1774907112121582   ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ 100  ║
+╟───┼──────╢
+║ 1 │ 1000 ║
+╟───┼──────╢
+║ 2 │ 2000 ║
+╟───┼──────╢
+║ 3 │ 3000 ║
+╚═══╧══════╝
+
+╔═══╤═════════════════════╗
+║ 0 │ -1.3135592937469482 ║
+╟───┼─────────────────────╢
+║ 1 │ -0.4839428961277008 ║
+╟───┼─────────────────────╢
+║ 2 │ 0.4378530979156494  ║
+╟───┼─────────────────────╢
+║ 3 │ 1.3596490621566772  ║
+╚═══╧═════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -77,20 +73,20 @@ sf_enc.print()
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-let scaler = new dfd.StandardScaler()
 
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 89, 12],
-            [1, 1, 1, 0]]
 
-let df = new dfd.DataFrame(data)
+let data = [[100, 1000, 2000, 3000],
+        [20, 30, 89, 12],
+        [1, 1, 1, 0]]
+
+let df = new dfd.DataFrame(data, { columns: ['a', 'b', 'c', 'd'] })
 df.print()
 
+let scaler = new dfd.StandardScaler()
 scaler.fit(df)
 
 let df_enc = scaler.transform(df)
 df_enc.print()
-
 ```
 {% endtab %}
 
@@ -103,28 +99,25 @@ df_enc.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ a                 │ b                 │ c                 │ d                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 100               │ 1000              │ 2000              │ 3000              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 20                │ 30                │ 89                │ 12                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1                 │ 1                 │ 1                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ a                 │ b                 │ c                 │ d                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1.3909024000167…  │ 1.4137537479400…  │ 1.4131401777267…  │ 1.4142049551010…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ -0.473994612693…  │ -0.675643563270…  │ -0.658863127231…  │ -0.702851355075…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ -0.916907668113…  │ -0.738110065460…  │ -0.754277229309…  │ -0.711353600025…  ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/general-functions/danfo.str.md b/api-reference/general-functions/danfo.str.md
new file mode 100644
index 0000000..f12c428
--- /dev/null
+++ b/api-reference/general-functions/danfo.str.md
@@ -0,0 +1,67 @@
+---
+description: Accessor object for String-like properties of Series values.
+---
+
+# danfo.Str
+
+For example, in the following example, we convert a Series to an `Str` instance and apply a couple of **String** methods.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Str, Series } from "danfojs-node"
+
+const sf = new Series(["Dog", "Cat", "Bird", "Fish", "ShArk", "tiGer"])
+const sfStr = new Str(sf)
+
+sfStr.toLowerCase().print()
+sfStr.toUpperCase().print()
+sfStr.join("Added", "-").print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+// output
+╔═══╤═══════╗
+║ 0 │ dog   ║
+╟───┼───────╢
+║ 1 │ cat   ║
+╟───┼───────╢
+║ 2 │ bird  ║
+╟───┼───────╢
+║ 3 │ fish  ║
+╟───┼───────╢
+║ 4 │ shark ║
+╟───┼───────╢
+║ 5 │ tiger ║
+╚═══╧═══════╝
+
+╔═══╤═══════╗
+║ 0 │ DOG   ║
+╟───┼───────╢
+║ 1 │ CAT   ║
+╟───┼───────╢
+║ 2 │ BIRD  ║
+╟───┼───────╢
+║ 3 │ FISH  ║
+╟───┼───────╢
+║ 4 │ SHARK ║
+╟───┼───────╢
+║ 5 │ TIGER ║
+╚═══╧═══════╝
+╔═══╤═════════════╗
+║ 0 │ Dog-Added   ║
+╟───┼─────────────╢
+║ 1 │ Cat-Added   ║
+╟───┼─────────────╢
+║ 2 │ Bird-Added  ║
+╟───┼─────────────╢
+║ 3 │ Fish-Added  ║
+╟───┼─────────────╢
+║ 4 │ ShArk-Added ║
+╟───┼─────────────╢
+║ 5 │ tiGer-Added ║
+╚═══╧═════════════╝
+
+```
diff --git a/api-reference/general-functions/danfo.streamcsv.md b/api-reference/general-functions/danfo.streamcsv.md
new file mode 100644
index 0000000..f70b704
--- /dev/null
+++ b/api-reference/general-functions/danfo.streamcsv.md
@@ -0,0 +1,104 @@
+---
+description: >-
+  Streams a CSV file from a local or remote location in chunks. Each
+  intermediate chunk is passed as a DataFrame to the callback function.
+---
+
+# danfo.streamCSV
+
+danfo.**streamCSV**(filePath, callback, options)&#x20;
+
+| Parameters | Type     | Description                                                                                                    |
+| ---------- | -------- | -------------------------------------------------------------------------------------------------------------- |
+| filePath   | string   | URL or local file path to CSV file.                                                                            |
+| callback   | Function | Callback function to be called once the specifed rows are parsed into DataFrame.                               |
+| options    | object   | Optional configuration object. Supports all [Papaparse](https://www.papaparse.com/docs#config) config options. |
+
+The **streamCSV** function streams a CSV file from a local or remote location in chunks. Each intermediate chunk is passed as a DataFrame to the callback function.
+
+## **Stream CSV file from local path**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const path = require("path")
+
+const filePath = path.join(process.cwd(), "raw_data", "titanic.csv");
+
+dfd.streamCSV(filePath, (df) => {
+    if (df) {
+        // Do any processing here
+        df.print();
+    }
+});
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Showing few rows 
+...
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ PassengerId       │ Survived          │ Pclass            │ Name              │ ...               │ Fare              │ Cabin             │ Embarked          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 676        │ 687               │ 0                 │ 3                 │ Panula, Mr. Jaa…  │ ...               │ 39.6875           │                   │ S                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ PassengerId       │ Survived          │ Pclass            │ Name              │ ...               │ Fare              │ Cabin             │ Embarked          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 677        │ 688               │ 0                 │ 3                 │ Dakic, Mr. Bran…  │ ...               │ 10.1708           │                   │ S                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+...
+```
+{% endtab %}
+{% endtabs %}
+
+## **Stream CSV file from remote path**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+const remoteFile = "https://raw.githubusercontent.com/opensource9ja/danfojs/dev/danfojs-node/tests/samples/titanic.csv"
+
+const callback = (df) => {
+    //Perform any processing here
+    if (df) {
+        df.print();
+    }
+}
+
+dfd.streamCSV(remoteFile, callback, { header: true })
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Showing a few rows 
+...
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Survived          │ Pclass            │ Name              │ Sex               │ Age               │ Siblings/Spouse…  │ Parents/Childre…  │ Fare              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 523        │ 0                 │ 1                 │ Mr. John Farthi…  │ male              │ 49                │ 0                 │ 0                 │ 221.7792          ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Survived          │ Pclass            │ Name              │ Sex               │ Age               │ Siblings/Spouse…  │ Parents/Childre…  │ Fare              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 524        │ 0                 │ 3                 │ Mr. Johan Werne…  │ male              │ 39                │ 0                 │ 0                 │ 7.925             ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+...
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/general-functions/danfo.streamcsvtransformer.md b/api-reference/general-functions/danfo.streamcsvtransformer.md
new file mode 100644
index 0000000..922dd43
--- /dev/null
+++ b/api-reference/general-functions/danfo.streamcsvtransformer.md
@@ -0,0 +1,181 @@
+---
+description: >-
+  A pipeline transformer to stream a CSV file from local storage, transform it
+  with a custom transformer, and write to the output stream. Only available in
+  Node.js
+---
+
+# danfo.streamCsvTransformer
+
+danfo.**streamCsvTransformer**(func)&#x20;
+
+| Parameters    | Type     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
+| ------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| inputFilePath | Function | The path to the CSV file to stream from.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
+| transformer   | Function | <p>The transformer function to apply to each row. </p><p>Note that each row of the CSV file is passed as a DataFrame with a single row to the transformer function, and the transformer function is expected to return a transformed DataFrame.</p>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+| options       | object   | <p>Configuration options for the pipeline. These include:</p><ul><li><code>outputFilePath</code> The local file path to write the transformed CSV file to.</li><li><code>customCSVStreamWriter</code> A custom CSV stream writer function. This is applied at the end of each transform. If not provided, a default CSV stream writer is used, and this writes to local storage.</li></ul><ul><li><code>inputStreamOptions</code> Configuration options for the input stream. Supports all Papaparse CSV reader config options.</li><li><code>outputStreamOptions</code> Configuration options for the output stream. This is only applied when using the default CSV stream writer. Supports all <code>toCSV</code> options.</li></ul> |
+
+**Returns:**
+
+> return A promise that resolves when the pipeline transformation is complete.
+
+The streamCsvTransformer can be used to [incrementally transform](https://en.wikipedia.org/wiki/Stream\_processing) a CSV file. This is done by:
+
+* Streaming a CSV file from a local or **remote** path.
+* Passing each corresponding row as a DataFrame to the specified transformer function.
+* Writing the result to an output stream. &#x20;
+
+
+
+## **Stream processing a local file**
+
+In the example below, we stream a local CSV file (titanic.csv), applies a transformer function, and write the output to the `titanicOutLocal` file.
+
+The transformer takes each `Name` column, splits the person's title, and creates a new column from it.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { DataFrame, Series, streamCsvTransformer } from "danfojs-node";
+import path from "path"
+
+const inputFilePath = path.join(process.cwd(), "raw_data", "titanic.csv");
+const outputFilePath = path.join(process.cwd(), "raw_data", "titanicOutLocal.csv");
+
+/**
+ * A simple function that takes a DataFrame, and transforms the Name column.
+* */
+const transformer = (df) => {
+    const titles = df["Name"].map((name) => name.split(".")[0]);
+    const names = df["Name"].map((name) => name.split(".")[1]);
+    df["Name"] = names
+    df.addColumn("titles", titles, { inplace: true })
+    return df
+}
+
+dfd.streamCsvTransformer(inputFilePath, transformer, {
+    outputFilePath,
+    inputStreamOptions: { header: false }
+})
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//initial head of titanic.csv before transforming
+
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+
+
+//Head of titanicOutLocal.csv after transforming
+
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked,titles
+1,0,3, Owen Harris,male,22,1,0,A/5 21171,7.25,,S,Braund, Mr
+2,1,1, John Bradley (Florence Briggs Thayer),female,38,1,0,PC 17599,71.2833,C85,C,Cumings, Mrs
+3,1,3, Laina,female,26,0,0,STON/O2. 3101282,7.925,,S,Heikkinen, Miss
+```
+{% endtab %}
+{% endtabs %}
+
+## **Stream processing of remote file**
+
+In the example below, we stream a remote CSV file (titanic.csv), applies a transformer function, and write the output to the `titanicOutLocal` file.
+
+The transformer takes each `Name` column, splits the person's title, and creates a new column from it.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { DataFrame, Series, streamCsvTransformer } from "danfojs-node";
+import path from "path"
+
+const inputFilePath = "https://raw.githubusercontent.com/opensource9ja/danfojs/dev/danfojs-node/tests/samples/titanic.csv"
+const outputFilePath = path.join(process.cwd(), "raw_data", "titanicOutRemote.csv");
+
+
+/**
+ * A simple function that takes a DataFrame, and transforms the Name column.
+* */
+const transformer = (df) => {
+    const titles = df["Name"].map((name) => name.split(".")[0]);
+    const names = df["Name"].map((name) => name.split(".")[1]);
+    df["Name"] = names
+    df.addColumn("titles", titles, { inplace: true })
+    return df
+}
+
+dfd.streamCsvTransformer(inputFilePath, transformer, {
+    outputFilePath,
+    inputStreamOptions: { header: false }
+})
+```
+{% endtab %}
+{% endtabs %}
+
+## **Stream processing with a custom writer**
+
+If you need custom control of the output writer, then you can provide a pipe-able custom writer. See [https://www.freecodecamp.org/news/node-js-streams-everything-you-need-to-know-c9141306be93/](https://www.freecodecamp.org/news/node-js-streams-everything-you-need-to-know-c9141306be93/)
+
+In the example below, we add a custom writer that logs each row. You can extend this to upload each chunk to a database, or any other function you need.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require('danfojs-node-nightly')
+const path = require("path")
+const stream = require("stream")
+
+const inputFilePath = "https://raw.githubusercontent.com/opensource9ja/danfojs/dev/danfojs-node/tests/samples/titanic.csv"
+
+const transformer = (df) => {
+    const titles = df["Name"].map((name) => name.split(".")[0]);
+    const names = df["Name"].map((name) => name.split(".")[1]);
+    df["Name"] = names
+    df.addColumn("titles", titles, { inplace: true })
+    return df
+}
+let count = 0
+
+const customWriter = function () {
+    const csvOutputStream = new stream.Writable({ objectMode: true })
+    csvOutputStream._write = (chunk, encoding, callback) => {
+        //Do anything here. For example you can write to online storage DB
+        console.log("Chunk written: " + chunk) // Eah chunk is a row DataFrame
+        count += 1
+        callback()
+
+    }
+    return csvOutputStream
+}
+
+dfd.streamCsvTransformer(
+    inputFilePath,
+    transformer,
+    {
+        customCSVStreamWriter: customWriter,
+        inputStreamOptions: { header: true }
+    })
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Showing the last log
+...
+
+Chunk written: 
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Survived          │ Pclass            │ Name              │ Sex               │ Age               │ Siblings/Spouse…  │ Parents/Childre…  │ Fare              │ titles            ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 884        │ 0                 │ 3                 │  Patrick Dooley   │ male              │ 32                │ 0                 │ 0                 │ 7.75              │ Mr                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/general-functions/danfo.streamjson.md b/api-reference/general-functions/danfo.streamjson.md
new file mode 100644
index 0000000..c834210
--- /dev/null
+++ b/api-reference/general-functions/danfo.streamjson.md
@@ -0,0 +1,101 @@
+---
+description: >-
+  Streams a JSON file from a  local or remote location in chunks. Each
+  intermediate chunk is passed as a DataFrame to the callback function.
+---
+
+# danfo.streamJSON
+
+danfo.**streamJSON**(filePath, callback, options)&#x20;
+
+| Parameters | Type     | Description                                                                                                                                                           |
+| ---------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| filePath   | string   | URL or local file path to CSV file.                                                                                                                                   |
+| callback   | Function | Callback function to be called once the specifed rows are parsed into DataFrame.                                                                                      |
+| options    | object   | Optional configuration object. We use the `request` library for reading remote json files, Hence all `request` parameters such as `method`, `headers`, are supported. |
+
+The **streamJSON** function streams a JSON file from a local or remote location in chunks. Each intermediate chunk is passed as a DataFrame to the callback function.
+
+## **Stream JSON file from local path**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const path = require("path")
+
+const filePath = path.join(process.cwd(), "raw_data", "book_small.json");
+
+dfd.streamJSON(filePath, (df) => {
+    if (df) {
+        // Do any processing here
+        df.print();
+    }
+});
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Showing the last rows 
+...
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ book_id           │ title             │ image_url         │ authors           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 10         │ 32848471          │ Egomaniac         │ https://images.…  │ Vi Keeland        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ book_id           │ title             │ image_url         │ authors           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11         │ 33288638          │ Wait for It       │ https://s.gr-as…  │ Mariana Zapata    ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
+
+## **Stream JSON file from remote path**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const path = require("path")
+
+const remoteFile = "https://raw.githubusercontent.com/opensource9ja/danfojs/dev/danfojs-node/tests/samples/book.json"
+
+const callback = (df) => {
+    //Perform any processing here
+    if (df) {
+        df.print();
+    }
+}
+
+dfd.streamJSON(remoteFile, callback, { header: true })
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+//Showing a few rows 
+...
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ book_id           │ title             │ image_url         │ authors           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 10         │ 32848471          │ Egomaniac         │ https://images.…  │ Vi Keeland        ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ book_id           │ title             │ image_url         │ authors           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11         │ 33288638          │ Wait for It       │ https://s.gr-as…  │ Mariana Zapata    ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/general-functions/danfo.tensorflow.md b/api-reference/general-functions/danfo.tensorflow.md
new file mode 100644
index 0000000..727f08c
--- /dev/null
+++ b/api-reference/general-functions/danfo.tensorflow.md
@@ -0,0 +1,70 @@
+---
+description: Exported internal Tensoflow.js library
+---
+
+# danfo.tensorflow
+
+danfo.**tensorflow**
+
+**Returns:**
+
+> &#x20;return [Tensorflow.js](https://www.npmjs.com/package/@tensorflow/tfjs) library
+
+## **Examples**
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+const tf = dfd.tensorflow
+
+let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
+console.log(tensor_arr)
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <!--danfojs CDN -->
+    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+
+    <script>
+        const tf = dfd.tensorflow
+        let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
+        console.log(tensor_arr)
+         
+    </script>
+</body>
+
+</html>
+```
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+```
+Tensor {
+  kept: false,
+  isDisposedInternal: false,
+  shape: [ 2, 4 ],
+  dtype: 'float32',
+  size: 8,
+  strides: [ 4 ],
+  dataId: {},
+  id: 4,
+  rankType: '2'
+}
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/general-functions/danfo.to_datetime.md b/api-reference/general-functions/danfo.to_datetime.md
index 7012100..2adb884 100644
--- a/api-reference/general-functions/danfo.to_datetime.md
+++ b/api-reference/general-functions/danfo.to_datetime.md
@@ -1,37 +1,32 @@
 ---
-description: Converts an array of Date time string to Date object.
+description: Converts an array of Date strings to Date object.
 ---
 
 # danfo.toDateTime
 
-danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.**toDateTime**(data)&#x20;
 
-| Parameters | Type          | Description                                                                                                       | Default |
-| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
-| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
+| Parameters | Type          | Description     | Default                                           |
+| ---------- | ------------- | --------------- | ------------------------------------------------- |
+| **data**   | Array, Series | **data**: Array | Series with Date strings to convert to Date time. |
 
 ## **Examples**
 
-Converts a **Series** of Date strings to Date time and get time properties
+In the following example, we convert a **Series** of Date strings to DateTime objects, so we can call various Date methods on them.&#x20;
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
-let sf = new dfd.Series(data)
-sf.print()
+const dfd = require('danfojs-node')
 
-let dt = dfd.toDateTime(data)
+let data = new dateRange({ "start": '1/1/2018', period: 12, freq: 'M' })
+let sf = new Series(data)
+sf.print()
 
-dt.month().print()
-dt.month_name().print()
-dt.weekdays().print()
-dt.day().print()
-dt.seconds().print()
+let dt = toDateTime(data)
+dt.dayOfMonth().print()
+dt.dayOfWeekName().print()
+dt.hours().print()
 ```
 {% endtab %}
 
@@ -44,98 +39,98 @@ dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
-//Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
-
-//string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
-
-//string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
-//Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
+╔═══╤════════════════════════╗
+║ 0 │ 1/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 1 │ 2/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 2 │ 3/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 3 │ 4/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 4 │ 5/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 5 │ 6/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 6 │ 7/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 7 │ 8/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 8 │ 9/1/2018, 12:00:00 AM  ║
+╟───┼────────────────────────╢
+║ 9 │ 10/1/2018, 12:00:00 AM ║
+╚═══╧════════════════════════╝
+
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 1 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 1 ║
+╟───┼───╢
+║ 4 │ 1 ║
+╟───┼───╢
+║ 5 │ 1 ║
+╟───┼───╢
+║ 6 │ 1 ║
+╟───┼───╢
+║ 7 │ 1 ║
+╟───┼───╢
+║ 8 │ 1 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
+
+╔═══╤═══════════╗
+║ 0 │ Monday    ║
+╟───┼───────────╢
+║ 1 │ Thursday  ║
+╟───┼───────────╢
+║ 2 │ Thursday  ║
+╟───┼───────────╢
+║ 3 │ Sunday    ║
+╟───┼───────────╢
+║ 4 │ Tuesday   ║
+╟───┼───────────╢
+║ 5 │ Friday    ║
+╟───┼───────────╢
+║ 6 │ Sunday    ║
+╟───┼───────────╢
+║ 7 │ Wednesday ║
+╟───┼───────────╢
+║ 8 │ Saturday  ║
+╟───┼───────────╢
+║ 9 │ Monday    ║
+╚═══╧═══════════╝
+
+╔═══╤═══╗
+║ 0 │ 0 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 0 ║
+╟───┼───╢
+║ 3 │ 0 ║
+╟───┼───╢
+║ 4 │ 0 ║
+╟───┼───╢
+║ 5 │ 0 ║
+╟───┼───╢
+║ 6 │ 0 ║
+╟───┼───╢
+║ 7 │ 0 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 0 ║
+╚═══╧═══╝
 
 ```
 {% endtab %}
 {% endtabs %}
 
 {% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
+Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
 {% endhint %}
diff --git a/api-reference/general-functions/danfo.utils.md b/api-reference/general-functions/danfo.utils.md
new file mode 100644
index 0000000..c673a1b
--- /dev/null
+++ b/api-reference/general-functions/danfo.utils.md
@@ -0,0 +1,25 @@
+---
+description: Utility class with useful methods
+---
+
+# danfo.Utils
+
+The Utils class holds useful utility methods, mostly used internally in the Danfojs library.
+
+For example, in the following example, we use the `inferDtype` function from the utils class.&#x20;
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+import { Utils } from "danfojs-node"
+
+const utils = new Utils()
+
+const arr = [NaN, 2.1, 3.3, 2.09]
+console.log(utils.inferDtype(arr))
+
+//output
+[ 'float32' ]
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index a291533..870f105 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -4,21 +4,17 @@ description: >-
   reading of CSV files in chunks.
 ---
 
-# danfo.read\_csv
+# danfo.readCSV
 
-> danfo.**read\_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
+> danfo.**readCSV**(source, options)&#x20;
 
-|                |                             |                                                                                                                                                                                                                            |                                                                                                                   |
-| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
-| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                                                                           |
-| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                                                                   |
-| **configs**:   | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>dynamicTyping:</strong> true,</p><p><strong>header:</strong> true</p><p>}</p> |
+|                |                             |                                                                                                                                                                                                                            |                                                                       |
+| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------- |
+| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                               |
+| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                       |
+| **options**    | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>header:</strong> true</p><p>}</p> |
 
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
+The **readCSV** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
 
 ### **Reading files from local disk**
 
@@ -29,7 +25,7 @@ By specifying a valid file path, you can load CSV files from local disk:
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
+dfd.readCSV("./user_names.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -50,7 +46,7 @@ By specifying a valid URL, you can load CSV files from any location into Danfo\*
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
+dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
   .then(df => {
   
    df.head().print()
@@ -79,7 +75,7 @@ dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-c
     <div id="plot_div"></div>
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+         dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
             .then(df => {
 
                 //do something like display descriptive statistics
@@ -120,7 +116,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
             
         inputFile.addEventListener("change", async () => {
             const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
+            dfd.readCSV(csvFile).then((df) => {
                 df.print()
             })
         })
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 459aa30..5359117 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -1,23 +1,19 @@
 ---
-description: Reads an excel file into DataFrame.
+description: Reads a JSON file from local or remote location into a DataFrame.
 ---
 
-# danfo.read_excel
+# danfo.readExcel
 
-> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
+> danfo.**readExcel**(source, options)
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
-| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
-
-> **Returns:**
->
-> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                     |
+| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| source     | string | **source** : string, URL or local file path to Excel file.                                                                                                                                                                                                                                                                                                                                      |
+| options    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers.</p><p>}</p> |
 
 ### Example
 
-The **read_excel** method can read excel files saved on a local disk, or over the internet.
+The **readExcel** method can read excel files saved on a local disk, or over the internet.
 
 {% tabs %}
 {% tab title="Node.js" %}
@@ -28,7 +24,7 @@ const path = require("path")
 let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
 
 async function load_process_data() {
-    let df = await dfd.read_excel(local_xcel)
+    let df = await dfd.readExcel(local_xcel)
     df.head().print()
 }
 
@@ -53,7 +49,7 @@ load_process_data()
     <script>
 
         const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
-        dfd.read_excel(remote_url).then(df => {
+        dfd.readExcel(remote_url).then(df => {
             df.head().print()
         })
 
@@ -62,7 +58,44 @@ load_process_data()
 </body>
 
 </html>
+```
+{% endtab %}
+{% endtabs %}
+
+
+
+### **Reading an input file object in the browser**
+
+By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load Excel files in the browser in DataFrames/Series
+
+{% tabs %}
+{% tab title="Browser" %}
+```markup
+<!DOCTYPE html>
+<html lang="en">
 
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <title>Document</title>
+</head>
+
+<body>
+    <input type="file" id="file" name="file">
+    <script>
+            
+        inputFile.addEventListener("change", async () => {
+            const excelFile = inputFile.files[0]
+            dfd.readExcel(excelFile).then((df) => {
+                df.print()
+            })
+        })
+         
+    </script>
+</body>
+
+</html>
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 3c17457..ecf32c7 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -2,9 +2,9 @@
 description: Reads a JSON file into DataFrame.
 ---
 
-# danfo.read\_json
+# danfo.readJSON
 
-> danfo.**read\_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
+> danfo.readJSON(source, options)
 
 |                |                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |                                                 |
 | -------------- | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
@@ -12,11 +12,7 @@ description: Reads a JSON file into DataFrame.
 | _**source**_   | Input file object, string file\*\* \*\*path or URL | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p>An input file object is also supported in the browser.</p>                                                                                                                                                                                                                    |                                                 |
 | options        | Object                                             | <p>Configuration options for reading JSON files. Supported options:</p><p>{<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>}</p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
 
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
+The **readJSON** method can read JSON files from a local disk, over the internet, or directly from input file objects.
 
 ### **Reading JSON files from local disk**
 
@@ -25,7 +21,7 @@ The **read\_json** method can read JSON files from a local disk, over the intern
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("./user_names.json")
+dfd.readJSON("./user_names.json")
   .then(df => {
   
    df.head().print()
@@ -46,7 +42,7 @@ By specifying a valid URL, you can load JSON files from any location:
 ```javascript
 const dfd = require("danfojs-node")
 
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
   .then(df => {
   
    df.head().print()
@@ -73,7 +69,7 @@ dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple
 
     <script>
      
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
+     dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
        .then(df => {
        
         df.head().print()
@@ -113,7 +109,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
             
         inputFile.addEventListener("change", async () => {
             const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
+            dfd.readJSON(jsonFile).then((df) => {
                 df.print()
             })
         })
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index c3403cf..e502326 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -2,17 +2,17 @@
 description: Writes a DataFrame or Series to CSV format.
 ---
 
-# danfo.to\_csv
+# danfo.toCSV
 
-> danfo.**to\_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
+> danfo.**toCSV**(data, options)&#x20;
 
-|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                    |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
+|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                     |
+| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------- |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                             |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                     |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: false,<br><strong>sep</strong>: ","<br><br>}</p> |
 
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
+The **toCSV** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
 ### Convert DataFrame to CSV string and return value
 
@@ -29,7 +29,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const csv = dfd.to_csv(df, { download: false });
+const csv = dfd.toCSV(df);
 console.log(csv);
 
 //output
@@ -64,7 +64,7 @@ Abs,Count,country code
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toCSV();
         console.log(csv);
     </script>
 </body>
@@ -91,7 +91,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-dfd.to_csv(df, { filePath: "testOut.csv"});
+dfd.toCSV(df, { filePath: "testOut.csv"});
 ```
 {% endtab %}
 {% endtabs %}
@@ -111,5 +111,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-dfd.to_csv(df, { fileName: "testOut.csv", download: true});
+dfd.toCSV(df, { fileName: "testOut.csv", download: true});
 ```
diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index 1fe1adf..511381a 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -1,19 +1,19 @@
 ---
 description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
+  Converts a DataFrame or Series to Excel file, and write file to disk or
   download in browser.
 ---
 
-# danfo.to_excel
+# danfo.toExcel
 
-> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
+> danfo.**toExcel**(data, options)&#x20;
 
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                                                                  |
+| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                      |                                                                                                          |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.<br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
 
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
+The **toExcel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
 
 ### Convert DataFrame to Excel and write to file path
 
@@ -32,14 +32,14 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-dfd.to_excel(df, { filePath: "testOut.xlsx"});
+dfd.toExcel(df, { filePath: "testOut.xlsx"});
 ```
 {% endtab %}
 {% endtabs %}
 
-### Convert DataFrame to Excel and download the file in  Client-side lib
+### Convert DataFrame to Excel and download the file in Client-side lib
 
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
+You can automatically convert and download an Excel file in a browser environment, by specifying a filename and setting download to `true`
 
 ```javascript
 let data = {
@@ -48,7 +48,7 @@ let data = {
     "country code": ["NG", "FR", "GH"],
 };
 
-let df = new dfd.DataFrame(data);
+let df = new DataFrame(data);
 
-dfd.to_excel(df, { fileName: "testOut.xlsx"});
+dfd.toExcel(df, { fileName: "testOut.xlsx", download: true});
 ```
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index baac615..bdcafc9 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -1,6 +1,6 @@
-# danfo.to\_json
+# danfo.toJSON
 
-> danfo.**to\_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
+> danfo.toJSON(data, options)
 
 |                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
 | -------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
@@ -8,7 +8,7 @@
 | _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |                                                                 |
 | **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
 
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
+The **toJSON** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
 ### Convert DataFrame/Series to JSON and return value
 
@@ -25,7 +25,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-const jsonObj = dfd.to_json(df, { download: false }); //column format
+const jsonObj = dfd.toJSON(df); //column format
 console.log(jsonObj);
 
 //output
@@ -36,8 +36,7 @@ console.log(jsonObj);
 ]
 
 //row format
-const jsonObj = dfd.to_json(df, {
-    download: false,
+const jsonObj = dfd.toJSON(df, {
     format: "row"
 });
 
@@ -75,7 +74,7 @@ console.log(jsonObj);
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toJSON();
         console.log(csv);
     </script>
 </body>
@@ -102,7 +101,7 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-dfd.to_json(df, { filePath: "./testOutput.json" });
+dfd.toJSON(df, { filePath: "./testOutput.json" });
 ```
 {% endtab %}
 {% endtabs %}
@@ -120,5 +119,5 @@ let data = {
 
 let df = new dfd.DataFrame(data);
 
-dfd.to_json(df, { fileName: "test_out.json" });
+dfd.toJSON(df, { fileName: "test_out.json", download: true });
 ```
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index 6606bdc..e62390c 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -8,8 +8,6 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 
 ## Examples
 
-The **bar** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter.
-
 ### Bar plot on Series
 
 ```markup
@@ -19,7 +17,6 @@ The **bar** plot is exposed by the .**plot()** function called on a Series or Da
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -29,7 +26,7 @@ The **bar** plot is exposed by the .**plot()** function called on a Series or Da
     <div id="plot_div"></div>
     <script>
 
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        const s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
         s.plot("plot_div").bar()
 
     </script>
@@ -49,7 +46,6 @@ The **bar** plot is exposed by the .**plot()** function called on a Series or Da
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
 </head>
 
@@ -58,7 +54,7 @@ The **bar** plot is exposed by the .**plot()** function called on a Series or Da
     <div id="plot_div"></div>
     <script>
 
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+        const df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
                                'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
         df.plot("plot_div").bar()
 
@@ -71,5 +67,5 @@ The **bar** plot is exposed by the .**plot()** function called on a Series or Da
 ![](<../../.gitbook/assets/newplot (7).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To customize plots, see the [Customizing your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/plotting/box-plots.md b/api-reference/plotting/box-plots.md
index 2adb60a..da440d5 100644
--- a/api-reference/plotting/box-plots.md
+++ b/api-reference/plotting/box-plots.md
@@ -10,107 +10,220 @@ Make a box-and-whisker plot from DataFrame columns, optionally grouped by some o
 
 ### Boxplot for a Series Object
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    const s = new Series([20, 30, 40, 23, 40, 3, 50, 34, 67]);
+    s.plot("plot_div").box();
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
     <title>Document</title>
-</head>
+  </head>
 
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").box()
-         
+      const s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67]);
+      s.plot("plot_div").box();
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (23).png>)
 
 ### Box plots on a DataFrame
 
-```markup
-<!DOCTYPE html>
-<html lang="en">
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series, readCSV } from "danfojs-nightly";
 
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
+function App() {
 
-<body>
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
 
-    <div id="plot_div"></div>
-    <script>
+        const sub_df = df.loc({ columns: ["Age", "Fare"] })
+        sub_df.plot("plot_div").box()
 
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
 
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").box()
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
 
-            }).catch(err => {
-                console.log(err);
-            })
+export default App;
 
-    </script>
-</body>
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
+    <title>Document</title>
+  </head>
+
+  <body>
+    <div id="plot_div"></div>
 
+    <div id="plot_div"></div>
+    <script>
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+        )
+        .then((df) => {
+          const sub_df = df.loc({ columns: ["Age", "Fare"] });
+          sub_df.plot("plot_div").box();
+        })
+        .catch((err) => {
+          console.log(err);
+        });
+    </script>
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
 
 ### Box plot for selected columns in a DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series, readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
+
+        df.plot("plot_div").box({
+          config: {
+            x: "Survived", y: "Age"
+          },
+          layout: {
+            title: "Box Plot"
+          }
+        })
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
     <title>Document</title>
-</head>
+  </head>
 
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").box({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+        )
+        .then((df) => {
+          df.plot("plot_div").box({ config: { x: "Survived", y: "Age" } });
+        })
+        .catch((err) => {
+          console.log(err);
+        });
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (24).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To customize your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/plotting/configuring-your-plots.md b/api-reference/plotting/configuring-your-plots.md
index 4cedbb2..dccfa01 100644
--- a/api-reference/plotting/configuring-your-plots.md
+++ b/api-reference/plotting/configuring-your-plots.md
@@ -1,68 +1,144 @@
-# Configuring your plots
+# Customizing your plots
 
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
+Danfo.js currently supports [Plotly.js](https://plotly.com/javascript) for plotting. This means you have all the configuration, flexibility, and interactiveness of Plotly.
 
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name.
+All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed in the `config` and `layout` parameter.
 
-For example in the following code, we show how to set some basic configuration as well as layout for a line plot.
+## Config Parameter
 
-```markup
-<!doctype html>
-<html>
+The config parameter extends the [Plotly.js config](https://plotly.com/javascript/configuration-options/) type. That is, all properties available to the Plotly [config](https://plotly.com/javascript/configuration-options/) argument, are available. Alongside those arguments, Danfo.js uses some custom arguments which we list below:
 
-<head>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+| Argument             | Description                                                                                                                                                                                    | Default value                                |
+| -------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------- |
+| **x**                | Column name to plot on the x-axis.                                                                                                                                                             | DataFrame index if required                  |
+| **y**                | Column name to plot on the y-axis.                                                                                                                                                             | DataFrame index if required                  |
+| **columns**          | Array of column names to plot.                                                                                                                                                                 | All columns in the DataFrame when applicable |
+| **values**           | Used to configure a `pie` chart. A column name containing values for the pie. Maps 1-1 with labels.                                                                                            |                                              |
+| **labels**           | Used to configure a `pie` chart. A column name containing labels for the pie. Maps 1-1 with values.                                                                                            |                                              |
+| **rowPositions**     | Used to configure a `pie` chart.  Pie chart domain row. See [https://plotly.com/javascript/reference/pie/#pie-domain-row](https://plotly.com/javascript/reference/pie/#pie-domain-row)         | Range of `0 - DataFrame column length`       |
+| **columnPositions**  | Used to configure a `pie` chart. Pie chart domain column. See [https://plotly.com/javascript/reference/pie/#pie-domain-column](https://plotly.com/javascript/reference/pie/#pie-domain-column) | Range of `0 - DataFrame column length`       |
+| **grid**             | <p>Used to configure a <code>pie</code> chart. Accepts the following parameter:<br><br><strong>row</strong>: Integer size<br><strong>column</strong>: Integer size</p>                         |                                              |
+| **tableHeaderStyle** | Table properties used for configuring table header. See [full list](https://plotly.com/javascript/reference/table/#table-header) of supported arguments.                                       |                                              |
+| **tableCellStyle**   | Table properties used for configuring table cells. See [full list](https://plotly.com/javascript/reference/table/#table-header) of supported arguments                                         |                                              |
 
-</head>
+## Layout Parameter
 
-<body>
+The `layout` argument object is used to configure the overall display of a chart. See the full list of supported [arguments](https://plotly.com/javascript/reference/layout/)
+
+In the following example, we show how to set some basic configuration as well as layout for a line plot.
+
+{% tabs %}
+{% tab title="React" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+
+    readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+      .then(df => {
+
+        const layout = {
+          title: {
+            text: "Time series plot of AAPL open and close points",
+            x: 0
+          },
+          legend: {
+            bgcolor: "#fcba03",
+            bordercolor: "#444",
+            borderwidth: 1,
+            font: { family: "Arial", size: 10, color: "#fff" }
+          },
+          width: 1000,
+          yaxis: {
+            title: 'AAPL open points',
+          },
+          xaxis: {
+            title: 'Date',
+          },
+        }
+
+        const config = {
+          columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
+          displayModeBar: true,
+          displaylogo: false,
+        }
+        df.plot("plot_div").line({ layout, config })
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
+    <title>Document</title>
+  </head>
+
+  <body>
+    <div id="plot_div"></div>
 
-    <div id="mydiv"></div>
     <script>
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+        )
+        .then((df) => {
+          const layout = {
+            title: {
+              text: "Time series plot of AAPL open and close points",
+              x: 0,
+            },
+            legend: {
+              bgcolor: "#fcba03",
+              bordercolor: "#444",
+              borderwidth: 1,
+              font: { family: "Arial", size: 10, color: "#fff" },
+            },
+            width: 1000,
+            yaxis: {
+              title: "AAPL open points",
+            },
+            xaxis: {
+              title: "Date",
+            },
+          };
 
-        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-
-                var layout = {
-                    title: {
-                        text: "Time series plot of AAPL open and close points",
-                        x: 0
-                    },
-                    legend: {
-                        bgcolor: "#fcba03",
-                        bordercolor: "#444",
-                        borderwidth: 1,
-                        font: { family: "Arial", size: 10, color: "#fff" }
-                    },
-                    width: 1000,
-                    yaxis: {
-                        title: 'AAPL open points',
-                    },
-                    xaxis: {
-                        title: 'Date',
-                    }
-                }
-                var config = {
-                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
-                    displayModeBar: true,
-                    modeBarButtonsToAdd: [{ //Add custom button
-                        name: 'about',
-                        icon: Plotly.Icons.question,
-                        click: function (gd) {
-                            alert('An example of configuring Danfojs Plots')
-                        }
-                    }],
-                    layout //layout object
-                }
-
-                df.plot("mydiv").line(config)
-            })
+          const config = {
+            columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
+            displayModeBar: true,
+            displaylogo: false,
+          };
+          df.plot("plot_div").line({ layout, config });
+        });
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (32).png>)
+
+##
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index adabd84..8a9a2e1 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -10,52 +10,131 @@ A histogram is a representation of the distribution of data. This function group
 
 ### Histogram of a Column in a DataFrame
 
-In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
+In the example below, we make an histogram from the `Age` column in the titanic dataset.
+
+{% tabs %}
+{% tab title="React" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
+
+        df['Age'].plot("plot_div").hist()
+
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endtab %}
 
-```markup
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
 
 <head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
+
+  <title>Document</title>
 </head>
 
 <body>
+  <div id="plot_div"></div>
 
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
+  <div id="plot_div"></div>
+  <script>
+    dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
 
-                df['Age'].plot("plot_div").hist()
+        df['Age'].plot("plot_div").hist()
 
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
+      }).catch(err => {
+        console.log(err);
+      })
+  </script>
 </body>
 
 </html>
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (10).png>)
 
 ### Customized Histogram plots on DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
+
+        const layout = {
+          bargap: 0,
+          bargroupgap: 0.1,
+          title: "Histogram of two columns stacked",
+          xaxis: { title: "Value" },
+          yaxis: { title: "Count" }
+        }
+
+        const sub_df = df.loc({ columns: ["Fare", "Age"] })
+        sub_df.plot("plot_div").hist({ layout })
+
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+a
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```tsx
 <!DOCTYPE html>
 <html lang="en">
 
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -64,54 +143,34 @@ In the example below, we use the titanic dataset, to show a close to a real-worl
 
     <div id="plot_div"></div>
     <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                var layout = {
-                    bargap: 0,
-                    bargroupgap: 0.1,
-                    barmode: "stack",
-                    title: "Histogram of two columns stacked",
-                    xaxis: { title: "Value" },
-                    yaxis: { title: "Count" }
-                }
-
-                sub_df = df.loc({ columns: ["Fare", "Age"] })
-                sub_df.plot("plot_div").hist({layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
+      dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+        .then(df => {
+  
+          const layout = {
+            bargap: 0,
+            bargroupgap: 0.1,
+            title: "Histogram of two columns stacked",
+            xaxis: { title: "Value" },
+            yaxis: { title: "Count" }
+          }
+  
+          const sub_df = df.loc({ columns: ["Fare", "Age"] })
+          sub_df.plot("plot_div").hist({ layout })
+  
+        }).catch(err => {
+          console.log(err);
+        })
 
     </script>
 </body>
 
 </html>
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (20).png>)
 
-### Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
-
-```javascript
-var layout = {
-    title: 'A sample plot',
-    xaxis: {
-        title: 'X',
-    },
-    yaxis: {
-        title: 'Y',
-    }
-}
-
-df.plot("div_tag").histogram({layout: layout})
-```
-
 {% hint style="info" %}
-For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
+For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) doc.
 {% endhint %}
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 79fe4d3..aa1cd50 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -10,8 +10,6 @@ description: >-
 
 ### Basic Line plot on Series
 
-The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.
-
 ```markup
 <!DOCTYPE html>
 <html lang="en">
@@ -19,7 +17,6 @@ The **line** plot is exposed by the .**plot()** function called on a Series or D
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -29,7 +26,7 @@ The **line** plot is exposed by the .**plot()** function called on a Series or D
     <div id="plot_div"></div>
     <script>
 
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
+        const s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
         s.plot("plot_div").line()
 
     </script>
@@ -51,7 +48,6 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -61,7 +57,7 @@ The example below shows the plot of column values against a common x-axis (index
     <div id="plot_div"></div>
     <script>
 
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
+        const df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
                                'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
         df.plot("plot_div").line()
 
@@ -91,10 +87,17 @@ The example below shows how to plot two columns in a DataFrame against each othe
 
     <div id="plot_div"></div>
     <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line({x: 'pig', y: 'horse'})
+    
+      const df = new dfd.DataFrame({
+        'pig': [20, 18, 489, 675, 1776],
+        'horse': [4, 25, 281, 600, 1900]
+      }, { index: [1990, 1997, 2003, 2009, 2014] })
+  
+      df.plot("plot_div").line({
+        config: {
+          x: 'pig', y: 'horse'
+        }
+      })
 
     </script>
 </body>
@@ -105,5 +108,5 @@ The example below shows how to plot two columns in a DataFrame against each othe
 ![](<../../.gitbook/assets/newplot (3).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To customize your plots, see the [Customize your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 6dce73d..8776b7f 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -10,36 +10,70 @@ A pie plot is a proportional representation of the numerical data in a column
 
 ### Pie Chart from Columns in a DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { DataFrame } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    const df = new DataFrame({
+      Price: [19, 26, 55],
+      Location: ["NG", "GH", "SA"],
+      Type: ["Residential", "Non-Residential", "Utility"],
+    });
+
+    df.plot("plot_div").pie({ config: { values: "Price", labels: "Type" } });
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
 
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
-</head>
+  </head>
 
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
+      const df = new dfd.DataFrame({
+        Price: [19, 26, 55],
+        Location: ["NG", "GH", "SA"],
+        Type: ["Residential", "Non-Residential", "Utility"],
+      });
 
-         df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Location: ["NG", "GH", "SA"],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-        
-        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
-
+      df.plot("plot_div").pie({ config: { values: "Price", labels: "Type" } });
     </script>
-</body>
-
+  </body>
 </html>
+e
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (12).png>)
 
@@ -62,14 +96,20 @@ A pie plot is a proportional representation of the numerical data in a column
     <div id="plot_div"></div>
     <script>
 
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-        df.plot("plot_div").pie({ labels: "Type"})
-
+       const df = new dfd.DataFrame({
+          Price: [19, 26, 55],
+          Volume: [100, 200, 300],
+          Location: ["NG", "GH", "SA"],
+          Type: ["Residential", "Non-Residential", "Utility"],
+        });
+    
+        df.plot("plot_div").pie({
+          config: {
+            labels: "Location",
+            columns: ["Price", "Volume"],
+            columnPositions: [0, 1],
+          }
+        });
 
     </script>
 </body>
@@ -81,7 +121,9 @@ A pie plot is a proportional representation of the numerical data in a column
 
 ### Configure Position of Pie Charts
 
-If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie.
+If you have more than one pie chart to display, you can set the grid parameter, and also the position of each pie.
+
+&#x20;For example, in the snippet below, we set the `grid` to 2 by 2 and also pass a set of row and column index positions. Each row/column position index corresponds to each pie.
 
 ```markup
 <!DOCTYPE html>
@@ -90,7 +132,6 @@ If you have more than one pie charts displayed, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -106,9 +147,15 @@ If you have more than one pie charts displayed, you can set the grid parameter,
             Type: ['Residential', 'Non-Residential', 'Utility']
         })
 
-       df.plot("plot_div").pie({ labels: "Type",
-                                 grid: { rows: 2, columns: 2 },
-                                 row_pos: [0, 1], col_pos: [0, 1] })
+        df.plot("plot_div").pie({
+          config: {
+            labels: "Location",
+            columns: ["Price", "Volume"],
+            columnPositions: [0, 1],
+            rowPositions: [0, 1],
+            grid: { rows: 2, columns: 2 }
+          }
+        });
 
     </script>
 </body>
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 77649d1..92f239b 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,6 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -29,13 +28,15 @@ In the example below, we use the titanic dataset, to show a close to real-world
     <div id="plot_div"></div>
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+          dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
             .then(df => {
-            
-                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
-
+      
+              df.plot("plot_div").scatter({
+                config: { x: "Age", y: "Fare" }
+              })
+      
             }).catch(err => {
-                console.log(err);
+              console.log(err);
             })
 
     </script>
@@ -55,7 +56,6 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -65,15 +65,19 @@ In the example below, we use the titanic dataset, to show a close to real-world
     <div id="plot_div"></div>
     <script>
 
-       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
-                sub_df.plot("plot_div").scatter()
-
-            }).catch(err => {
-                console.log(err);
-            })
+      dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+        .then(df => {
+  
+          sub_df = df.loc({
+            config: {
+              columns: ["Age", "Fare", "Parch", "SibSp"]
+            }
+          })
+          sub_df.plot("plot_div").scatter()
+  
+        }).catch(err => {
+          console.log(err);
+        })
 
     </script>
 </body>
@@ -84,5 +88,5 @@ In the example below, we use the titanic dataset, to show a close to real-world
 ![](<../../.gitbook/assets/newplot (19).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To customize your plots, see the [Customize your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/plotting/tables.md b/api-reference/plotting/tables.md
index c67f0e2..7dfc1b5 100644
--- a/api-reference/plotting/tables.md
+++ b/api-reference/plotting/tables.md
@@ -8,40 +8,74 @@ description: Turn DataFrame/Series in D3.js-based tables
 
 ### Create Interactive Tables from DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series, readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
+
+        df.plot("plot_div").table()
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
+    <title>Document</title>
+  </head>
 
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
-
-        
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").table()
-              
-              
-            }).catch(err => {
-                console.log(err);
-            })
-
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+        )
+        .then((df) => {
+          df.plot("plot_div").table()
+        })
+        .catch((err) => {
+          console.log(err);
+        });
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
 
@@ -49,47 +83,115 @@ description: Turn DataFrame/Series in D3.js-based tables
 
 To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass.
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series, readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+      .then(df => {
+
+        const headerStyle = {
+          align: "center",
+          fill: { color: ['gray'] },
+          font: { family: "Arial", size: 15, color: "white" },
+          
+        }
+        const cellStyle = {
+          align: ["center"],
+          line: { color: "black", width: 10 }
+        }
+
+        df.plot("plot_div").table({
+          config: {
+            tableHeaderStyle: headerStyle,
+            tableCellStyle: cellStyle
+          },
+          layout: {
+            title: "Table displaying the Titanic dataset",
+          }
+        })
+
+
+      }).catch(err => {
+        console.log(err);
+      })
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
 
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
-</head>
+  </head>
 
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                header_style = {
-                    align: "center",
-                    fill: { color: ['gray'] },
-                    font: { family: "Arial", size: 15, color: "white" }
-                }
-                cell_style = {
-                    align: ["center"],
-                    line: { color: "black", width: 1 }
-                }
-
-                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+        )
+        .then((df) => {
+          const headerStyle = {
+            align: "center",
+            fill: { color: ["gray"] },
+            font: { family: "Arial", size: 15, color: "white" },
+            columnwidth: 200,
+          };
+          const cellStyle = {
+            align: ["center"],
+            line: { color: "black", width: 10 },
+          };
+
+          df.plot("plot_div").table({
+            config: {
+              tableHeaderStyle: headerStyle,
+              tableCellStyle: cellStyle,
+            },
+            layout: {
+              title: "Table displaying the Titanic dataset",
+            },
+          });
+
+        })
+        .catch((err) => {
+          console.log(err);
+        });
     </script>
-</body>
-
+  </body>
 </html>
 
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 7bbb089..d34888e 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -8,51 +8,110 @@ description: Timeseries plot are based on date index
 
 In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV(
+      "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+    )
+      .then((df) => {
+
+        const layout = {
+          title: "A financial charts",
+          xaxis: {
+            title: "Date",
+          },
+          yaxis: {
+            title: "Count",
+          },
+        };
+
+        const config = {
+          columns: ["AAPL.Open", "AAPL.High"],
+        };
+
+        const new_df = df.setIndex({ column: "Date" });
+        new_df.plot("plot_div").line({ config, layout });
+      })
+      .catch((err) => {
+        console.log(err);
+      });
+
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
     <title>Document</title>
-</head>
-
-<body>
+  </head>
 
+  <body>
     <div id="plot_div"></div>
-    <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                var layout = {
-                    title: 'A financial charts',
-                    xaxis: {
-                        title: 'Date',
-                    },
-                    yaxis: {
-                        title: 'Count',
-                    }
-                }
+    <script>
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+        )
+        .then((df) => {
 
-                new_df = df.set_index({ column: "Date" })
-                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
+          const layout = {
+            title: "A financial charts",
+            xaxis: {
+              title: "Date",
+            },
+            yaxis: {
+              title: "Count",
+            },
+          };
 
-            }).catch(err => {
-                console.log(err);
-            })
+          const config = {
+            columns: ["AAPL.Open", "AAPL.High"],
+          };
 
+          const new_df = df.setIndex({ column: "Date" });
+          new_df.plot("plot_div").line({ config, layout });
+        })
+        .catch((err) => {
+          console.log(err);
+        });
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To set customize your charts, see the [Customizing your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index a3e6c11..3ea40a8 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -6,14 +6,44 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 
 ### Boxplot for a Series Object
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { Series } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+       const s = new Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
+      s.plot("plot_div").violin()
+
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
 
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -31,19 +61,59 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 
 </html>
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (25).png>)
 
 ### Box plots on a DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV(
+      "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+    )
+      .then((df) => {
+        const sub_df = df.loc({ columns: ["Age", "Fare"] });
+        sub_df.plot("plot_div").violin();
+      })
+      .catch((err) => {
+        console.log(err);
+      });
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
 
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
@@ -68,45 +138,86 @@ Make a violin plot from DataFrame columns, optionally grouped by some other colu
 
 </html>
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (26).png>)
 
 ### Box plot for selected columns in a DataFrame
 
-```markup
+{% tabs %}
+{% tab title="React" %}
+{% code title="App.jsx" %}
+```tsx
+import { useEffect } from 'react';
+import './App.css';
+import { readCSV } from "danfojs-nightly";
+
+function App() {
+
+  useEffect(() => {
+    readCSV(
+      "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+    )
+      .then((df) => {
+        df.plot("plot_div").violin({ config: { x: "Survived", y: "Age" }, layout: { title: "Violin Plot" } });
+      })
+      .catch((err) => {
+        console.log(err);
+      });
+  }, [])
+
+  return (
+    <div className="App">
+      <header className="App-header">
+        <div id="plot_div"></div>
+      </header>
+    </div>
+  );
+}
+
+export default App;
+
+```
+{% endcode %}
+{% endtab %}
+
+{% tab title="Browser" %}
+```html
 <!DOCTYPE html>
 <html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs-nightly@1.0.2/lib/bundle.js"></script>
     <title>Document</title>
-</head>
+  </head>
 
-<body>
+  <body>
+    <div id="plot_div"></div>
 
     <div id="plot_div"></div>
     <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").violin({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
+      dfd
+        .readCSV(
+          "https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv"
+        )
+        .then((df) => {
+          df.plot("plot_div").violin({ config: { x: "Survived", y: "Age" } });
+        })
+        .catch((err) => {
+          console.log(err);
+        });
     </script>
-</body>
-
+  </body>
 </html>
+
 ```
+{% endtab %}
+{% endtabs %}
 
 ![](<../../.gitbook/assets/newplot (27).png>)
 
 {% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
+To customize your plots, see the [Configuring your plot page](configuring-your-plots.md)
 {% endhint %}
diff --git a/api-reference/series/README.md b/api-reference/series/README.md
index 421bc63..5666bf8 100644
--- a/api-reference/series/README.md
+++ b/api-reference/series/README.md
@@ -8,8 +8,8 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 ### Attributes
 
-| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
-| --------------------------------- | ------------------------------------------- |
+| [`Series.index`](series.index.md) | The index (axis labels) of the Series. |
+| --------------------------------- | -------------------------------------- |
 
 | [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
 | ----------------------------------- | ---------------------------------------------------------------- |
@@ -17,20 +17,20 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
 | [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
 | [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
-| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
+| [`Series.size`](broken-reference/)  | Return the number of elements in the underlying data.            |
 
 ### Conversion
 
-| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
+| [`Series.asType`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
 | --------------------------------------------------- | ---------------------------------------------- |
 | [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
 
 ### Indexing, iteration
 
-|                                                         |                                                                    |
-| ------------------------------------------------------- | ------------------------------------------------------------------ |
-| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
-| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
+|                                   |                                                                    |
+| --------------------------------- | ------------------------------------------------------------------ |
+| ``[`Series.loc`](series.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
+| [`Series.iloc`](series.iloc.md)   | Purely integer-location based indexing for selection by position.  |
 
 ### Binary operator functions
 
@@ -48,9 +48,8 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
 | [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
 | [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
-| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
 
-### Function application & GroupBy
+### Function application&#x20;
 
 | [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
 | --------------------------------- | ------------------------------------------------------- |
@@ -60,12 +59,12 @@ description: One-dimensional ndarray with axis labels (including time series).
 
 | [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
 | ----------------------------------------------------------- | ---------------------------------------------------------------- |
-| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
+| [`Series.corr`](broken-reference/)                          | Compute correlation with other Series, excluding missing values. |
 | [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
-| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
-| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
-| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
-| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
+| [`Series.cumMax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
+| [`Series.cumMin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
+| [`Series.cumProd`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
+| [`Series.cumSum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
 | [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
 | [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
 | [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
@@ -76,44 +75,51 @@ description: One-dimensional ndarray with axis labels (including time series).
 | [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
 | [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
 | [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
-| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
-| [`Series.value_counts`](series.value\_counts.md)            | Return a Series containing counts of unique values.              |
+| [`Series.nUnique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
+| [`Series.valueCounts`](series.value\_counts.md)             | Return a Series containing counts of unique values.              |
 
 ### Reindexing / selection / label manipulation
 
-|                                                        |                                                          |
-| ------------------------------------------------------ | -------------------------------------------------------- |
-| [`Series.drop_duplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
-| [`Series.head`](series.head.md)                        | Return the first n rows.                                 |
-| [`Series.reset_index`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md)                    | Return a random sample of items from an axis of object.  |
-| [`Series.tail`](series.tail.md)                        | Return the last n rows.                                  |
+|                                                       |                                                          |
+| ----------------------------------------------------- | -------------------------------------------------------- |
+| [`Series.dropDuplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
+| [`Series.head`](series.head.md)                       | Return the first n rows.                                 |
+| [`Series.resetIndex`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
+| [`Series.sample`](series.sample.md)                   | Return a random sample of items from an axis of object.  |
+| [`Series.tail`](series.tail.md)                       | Return the last n rows.                                  |
 
 ### Missing data handling
 
 |                                       |                                                  |
 | ------------------------------------- | ------------------------------------------------ |
-| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
-| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
-| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
+| [`Series.droNa`](series.dropna.md)    | Return a new Series with missing values removed. |
+| [`Series.fillNa`](series.fillna.md)   | Fill NaN values using the specified method.      |
+| [`Series.isNa`](series.isna.md)       | Detect missing values.                           |
 | [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value.  |
 
+### Logical Comparison
+
+|                               |                                                                                                      |
+| ----------------------------- | ---------------------------------------------------------------------------------------------------- |
+| [`Series.or`](series.or.md)   | Returns the logical OR between Series and other. Supports element-wise operations and broadcasting.  |
+| [`Series.and`](series.and.md) | Returns the logical AND between Series and other. Supports element-wise operations and broadcasting. |
+
 ### Reshaping, sorting
 
-| [`Series.argsort`](series.argsort.md)          | Return the integer indices that would sort the Series values. |
-| ---------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.argmin`](series.argmin.md)            | Return int position of the smallest value in the Series.      |
-| [`Series.argmax`](series.argmax.md)            | Return int position of the largest value in the Series.       |
-| [`Series.sort_values`](series.sort\_values.md) | Sort by the values.                                           |
+| [`Series.argSort`](series.argsort.md)         | Return the integer indices that would sort the Series values. |
+| --------------------------------------------- | ------------------------------------------------------------- |
+| [`Series.argMin`](series.argmin.md)           | Return int position of the smallest value in the Series.      |
+| [`Series.argMax`](series.argmax.md)           | Return int position of the largest value in the Series.       |
+| [`Series.sortValues`](series.sort\_values.md) | Sort by the values.                                           |
 
 ### Accessors
 
 Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
 
-| Data Type | Accessor |
-| --------- | -------- |
-| Datetime  | dt       |
-| String    | str      |
+| Data Type                                    | Accessor |
+| -------------------------------------------- | -------- |
+| [Datetime](../general-functions/danfo.dt.md) | dt       |
+| [String](../general-functions/danfo.str.md)  | str      |
 
 #### Datetimelike properties
 
@@ -121,16 +127,17 @@ Danfo provides dtype-specific methods under various accessors. These are separat
 
 **Datetime methods**
 
-|                                                    |                                                                    |
-| -------------------------------------------------- | ------------------------------------------------------------------ |
-| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                          |
-| [`Series.dt.month`](series.dt.month.md)            | The month as January=1, December=12.                               |
-| [`Series.dt.day`](series.dt.day.md)                | The day of the datetime.                                           |
-| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                         |
-| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                       |
-| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                       |
-| [`Series.dt.weekdays`](series.dt.weekdays.md)      | The day of the week with Monday=0, Sunday=6.                       |
-| [`Series.dt.month_name`](series.dt.month\_name.md) | Return the month names of the DateTimeIndex with specified locale. |
+|                                                    |                                                                         |
+| -------------------------------------------------- | ----------------------------------------------------------------------- |
+| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                               |
+| [`Series.dt.month`](series.dt.month.md)            | Returns a numeric representation of the month. January=0 - December=11. |
+| [Series.dt.monthName](series.dt.month\_name.md)    |                                                                         |
+| [`Series.dt.dayOfWeek`](series.dt.day.md)          | Returns the day of the week, in local time                              |
+| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                              |
+| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                            |
+| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                            |
+| [`Series.dt.dayOfWeekName`](series.dt.weekdays.md) | Returns the name of the day, of the week, in local time                 |
+| [`Series.dt.dayOfMonth`](series.dt.month\_name.md) | Returns the day of the month, in local time                             |
 
 #### String handling
 
@@ -172,11 +179,13 @@ Danfo provides dtype-specific methods under various accessors. These are separat
 | [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
 | [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
 | [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
+| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in a Div                  |
 
 ### Serialization / IO / conversion
 
-|                                                        |                                                      |
-| ------------------------------------------------------ | ---------------------------------------------------- |
-| [`Series.to_csv`](../dataframe/dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`Series.to_json`](../dataframe/dataframe.to\_json.md) | Convert the object to a JSON string.                 |
+|                                                       |                                              |
+| ----------------------------------------------------- | -------------------------------------------- |
+| [`Series.toCSV`](../dataframe/dataframe.to\_csv.md)   | Convert DataFrame or Series to CSV.          |
+| [`Series.toJSON`](../dataframe/dataframe.to\_json.md) | Convert DataFrame or Series to a JSON.       |
+| Series.toExcel                                        | Convert DataFrame or Series to an excel file |
+
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index 3c8e4ba..b957807 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -1,44 +1,13 @@
 # Creating a Series
 
-new danfo.**Series**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
+danfo.**Series**(data, options)
+
+| Parameters | Type                              | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| ---------- | --------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| data       | 1D Array, 1D Tensor, JSON object. | Flat data structure to load into DataFrame                                                                                                                                                                                                                                                                                                                                                                                                                   |
+| options    | Object                            | <p>Optional configuration object. Supported properties are:<br></p><p><strong>index:</strong> Array of numeric or string names for subseting array. If not specified, indexes are auto-generated.<br></p><p><strong>dtypes:</strong> Array of data types for each the column. If not specified, dtypes are/is inferred.<br></p><p><strong>config</strong>: General configuration object for extending or setting NDframe behavior. See full options here</p> |
+
+In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options.
 
 ### Creating a Series from an object:
 
@@ -142,7 +111,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ bval1 ║
 ╟───┼───────╢
@@ -156,7 +125,7 @@ df.print()
 
 ### Creating a Series and specifying index and dtypes
 
-You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
+You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc.
 
 > Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
 
@@ -175,7 +144,7 @@ df.print()
 {% endtab %}
 {% endtabs %}
 
-```text
+```
 ╔═══╤═══╗
 ║ a │ 1 ║
 ╟───┼───╢
@@ -207,4 +176,3 @@ df.print()
 {% hint style="info" %}
 **Note**: In low memory mode, less space is used by the Series.
 {% endhint %}
-
diff --git a/api-reference/series/series.abs.md b/api-reference/series/series.abs.md
index 843dd5e..9f9e155 100644
--- a/api-reference/series/series.abs.md
+++ b/api-reference/series/series.abs.md
@@ -4,11 +4,11 @@ description: Returns the absolute value in a Series
 
 # Series.abs
 
-> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
+> danfo.Series.**abs**(options)&#x20;
 
-| Parameters | Type   | Description                                                                                          | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                         | Default                               |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| options    | Object | **inplace**: Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Returns:** Series
 
@@ -30,23 +30,21 @@ sf.abs().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ 10                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 45 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 25 ║
+╟───┼────╢
+║ 4 │ 23 ║
+╟───┼────╢
+║ 5 │ 20 ║
+╟───┼────╢
+║ 6 │ 10 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.add.md b/api-reference/series/series.add.md
index e55b1b8..5e6c583 100644
--- a/api-reference/series/series.add.md
+++ b/api-reference/series/series.add.md
@@ -4,7 +4,7 @@ description: Return Addition of series and other, element-wise (binary operator
 
 # Series.add
 
-> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
+> danfo.Series.add(other, options)&#x20;
 
 | Parameters | Type          | Description                                                                                    | Default                               |
 | ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -83,4 +83,3 @@ sf1.add(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.and.md b/api-reference/series/series.and.md
index 85c22cb..2a7374f 100644
--- a/api-reference/series/series.and.md
+++ b/api-reference/series/series.and.md
@@ -6,13 +6,13 @@ description: >-
 
 # Series.and
 
-> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+> danfo.Series.and(other)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+| Parameters | Type                             | Description          | Default |
+| ---------- | -------------------------------- | -------------------- | ------- |
+| other      | Series, Scalar, Array of Scalars | Data to compare with |         |
 
- **Return:** Series
+**Return:** Series
 
 ### **Logical AND between two Series object**
 
@@ -34,7 +34,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -73,7 +73,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -110,7 +110,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -129,4 +129,3 @@ res.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.append.md b/api-reference/series/series.append.md
index 53e8f03..e734c08 100644
--- a/api-reference/series/series.append.md
+++ b/api-reference/series/series.append.md
@@ -4,19 +4,13 @@ description: Add a new value or values to the end of a Series.
 
 # Series.append
 
-danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
+danfo.Series.**append**(newValue, index, options)&#x20;
 
 | Parameters | Type          | Description                                                                                                                | Default |
 | ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
 | newValue   | Array, Series | Object to append                                                                                                           |         |
 | index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
-| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-****
+| options    | Object        | <p>{<br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                                | false   |
 
 ### **Append new Series to the end of a Series**
 
@@ -101,7 +95,6 @@ let sfArr = ["a", "b", "c"]
 
 new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
 new_sf.print()
-
 ```
 {% endtab %}
 
@@ -129,7 +122,6 @@ new_sf.print()
 ╟────┼───╢
 ║ f7 │ c ║
 ╚════╧═══╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.apply.md b/api-reference/series/series.apply.md
index 7f7050e..f8a01f0 100644
--- a/api-reference/series/series.apply.md
+++ b/api-reference/series/series.apply.md
@@ -4,7 +4,7 @@ description: Invoke a function on each value in a Series.
 
 # Series.apply
 
-> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
+> danfo.series.**apply**(callable, options)&#x20;
 
 | Parameters | Type     | Description                                                                                    | Default                               |
 | ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -13,9 +13,9 @@ description: Invoke a function on each value in a Series.
 
 **Returns:**
 
-&#x20;      ****       return **Series**
+\*\*\*\* return **Series**
 
-****
+***
 
 **Example**
 
@@ -42,25 +42,23 @@ sf.apply(apply_func).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╟───┼──────────────────────╢
-║ 5 │ 12                   ║
-╟───┼──────────────────────╢
-║ 6 │ 14                   ║
-╟───┼──────────────────────╢
-║ 7 │ 16                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 2  ║
+╟───┼────╢
+║ 1 │ 4  ║
+╟───┼────╢
+║ 2 │ 6  ║
+╟───┼────╢
+║ 3 │ 8  ║
+╟───┼────╢
+║ 4 │ 10 ║
+╟───┼────╢
+║ 5 │ 12 ║
+╟───┼────╢
+║ 6 │ 14 ║
+╟───┼────╢
+║ 7 │ 16 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -85,25 +83,23 @@ sf.apply(Math.log).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0.6931471805599453   ║
-╟───┼──────────────────────╢
-║ 2 │ 1.0986122886681096   ║
-╟───┼──────────────────────╢
-║ 3 │ 1.3862943611198906   ║
-╟───┼──────────────────────╢
-║ 4 │ 1.6094379124341003   ║
-╟───┼──────────────────────╢
-║ 5 │ 1.791759469228055    ║
-╟───┼──────────────────────╢
-║ 6 │ 1.9459101490553132   ║
-╟───┼──────────────────────╢
-║ 7 │ 2.0794415416798357   ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════╗
+║ 0 │ 0                  ║
+╟───┼────────────────────╢
+║ 1 │ 0.6931471805599453 ║
+╟───┼────────────────────╢
+║ 2 │ 1.0986122886681096 ║
+╟───┼────────────────────╢
+║ 3 │ 1.3862943611198906 ║
+╟───┼────────────────────╢
+║ 4 │ 1.6094379124341003 ║
+╟───┼────────────────────╢
+║ 5 │ 1.791759469228055  ║
+╟───┼────────────────────╢
+║ 6 │ 1.9459101490553132 ║
+╟───┼────────────────────╢
+║ 7 │ 2.0794415416798357 ║
+╚═══╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -130,20 +126,17 @@ sf.apply((x)=>{
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ rice                 ║
-╟───┼──────────────────────╢
-║ 1 │ beans                ║
-╟───┼──────────────────────╢
-║ 2 │ yam                  ║
-╟───┼──────────────────────╢
-║ 3 │ banana               ║
-╟───┼──────────────────────╢
-║ 4 │ wheat                ║
-╚═══╧══════════════════════╝
+╔═══╤════════╗
+║ 0 │ rice   ║
+╟───┼────────╢
+║ 1 │ beans  ║
+╟───┼────────╢
+║ 2 │ yam    ║
+╟───┼────────╢
+║ 3 │ banana ║
+╟───┼────────╢
+║ 4 │ wheat  ║
+╚═══╧════════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.argmax.md b/api-reference/series/series.argmax.md
index d7927d2..add684d 100644
--- a/api-reference/series/series.argmax.md
+++ b/api-reference/series/series.argmax.md
@@ -2,9 +2,9 @@
 description: Returns the int position of the largest value in the series
 ---
 
-# Series.argmax
+# Series.argMax
 
-> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
+> danfo.Series.argMax()&#x20;
 
 **Parameters**: None
 
@@ -20,16 +20,15 @@ const dfd = require("danfojs-node")
 let data = [1,30,20,40,50,70,90,200,10,20,12]
 let sf = new dfd.Series(data)
 
-sf.argmax()
+sf.argMax()
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 7
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.argmin.md b/api-reference/series/series.argmin.md
index dfc661f..72fabdb 100644
--- a/api-reference/series/series.argmin.md
+++ b/api-reference/series/series.argmin.md
@@ -2,9 +2,9 @@
 description: Returns the int position of the smallest value in the series
 ---
 
-# Series.argmin
+# Series.argMin
 
-> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
+> danfo.Series.argMin() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)]
 
 **Parameters**: None
 
@@ -20,16 +20,15 @@ const dfd = require("danfojs-node")
 let data = [1,30,20,40,50,70,90,200,10,20,12]
 let sf = new dfd.Series(data)
 
-sf.argmin()
+sf.argMin()
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 0
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.argsort.md b/api-reference/series/series.argsort.md
index b4608a4..51377f4 100644
--- a/api-reference/series/series.argsort.md
+++ b/api-reference/series/series.argsort.md
@@ -2,13 +2,13 @@
 description: Return the integer indices that would sort the Series values
 ---
 
-# Series.argsort
+# Series.argSort
 
-> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
+> danfo.Series.argSort(options)&#x20;
 
-| Parameters | Type   | Description                            | Default                                               |
-| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
-| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
+| Parameters | Type   | Description                            | Default                                              |
+| ---------- | ------ | -------------------------------------- | ---------------------------------------------------- |
+| options    | Object | **ascending**: How to sort the indices | <p>{<br><strong>ascending</strong>: true</p><p>}</p> |
 
 **Returns:** Series (int element)
 
@@ -22,9 +22,8 @@ const dfd = require("danfojs-node")
 let data = [10, 45, 20, 10, 23, 20, 30, 11]
 let sf = new dfd.Series(data)
 
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
+sf.argSort().print() //defaults to ascending order
+sf.argSort({ ascending: false }).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -32,27 +31,24 @@ sf.argsort({ ascending: false }).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 7                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 6                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 3 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 7 ║
+╟───┼───╢
+║ 3 │ 5 ║
+╟───┼───╢
+║ 4 │ 2 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 6 ║
+╟───┼───╢
+║ 7 │ 1 ║
+╚═══╧═══╝
 
-//sorted in descending order
 ╔═══╤═══╗
 ║ 0 │ 1 ║
 ╟───┼───╢
diff --git a/api-reference/series/series.copy.md b/api-reference/series/series.copy.md
index 9bbdb47..31c7a3f 100644
--- a/api-reference/series/series.copy.md
+++ b/api-reference/series/series.copy.md
@@ -4,9 +4,9 @@ description: Makes a deep copy of a Series
 
 # Series.copy
 
-> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
+> danfo.Series.copy()&#x20;
 
-**parameter:** 
+**parameter:**
 
 **Return:** Series
 
diff --git a/api-reference/series/series.count.md b/api-reference/series/series.count.md
index 832c794..f3ace91 100644
--- a/api-reference/series/series.count.md
+++ b/api-reference/series/series.count.md
@@ -1,10 +1,10 @@
 ---
-description: Obtain the total number of values in a series
+description: Returns the total number of non-null elements in a series
 ---
 
 # Series.count
 
-> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
+> danfo.Series.count()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.count())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.cummax.md b/api-reference/series/series.cummax.md
index 8aded1a..3f03986 100644
--- a/api-reference/series/series.cummax.md
+++ b/api-reference/series/series.cummax.md
@@ -2,13 +2,13 @@
 description: Returns cumulative maximum over a series
 ---
 
-# Series.cummax
+# Series.cumMax
 
-> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
+> danfo.Series.**cumMax**(options)
 
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                    | Default                                                |
+| ---------- | ------ | -------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not. | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -21,7 +21,7 @@ const dfd = require("danfojs-node")
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf1 = new dfd.Series(data1)
 
-sf1.cummax().print()
+sf1.cumMax().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -29,23 +29,21 @@ sf1.cummax().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 56                   ║
-╟───┼──────────────────────╢
-║ 5 │ 56                   ║
-╟───┼──────────────────────╢
-║ 6 │ 56                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 45 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 3 │ 56 ║
+╟───┼────╢
+║ 4 │ 56 ║
+╟───┼────╢
+║ 5 │ 56 ║
+╟───┼────╢
+║ 6 │ 56 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.cummin.md b/api-reference/series/series.cummin.md
index 736cee5..0027054 100644
--- a/api-reference/series/series.cummin.md
+++ b/api-reference/series/series.cummin.md
@@ -2,13 +2,13 @@
 description: Returns the cumulative min of a Series
 ---
 
-# Series.cummin
+# Series.cumMin
 
-> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
+> danfo.Series.**cumMin**(options)&#x20;
 
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                    | Default                                                |
+| ---------- | ------ | -------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not. | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -21,7 +21,7 @@ const dfd = require("danfojs-node")
 let data1 = [10, 45, 56, 5, 23, 20, 10]
 let sf1 = new dfd.Series(data1)
 
-sf1.cummin().print()
+sf1.cumMin().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -29,23 +29,21 @@ sf1.cummin().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ 10                   ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 5                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 10 ║
+╟───┼────╢
+║ 2 │ 10 ║
+╟───┼────╢
+║ 3 │ 5  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 5 │ 5  ║
+╟───┼────╢
+║ 6 │ 5  ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.cumprod.md b/api-reference/series/series.cumprod.md
index 84ec0e7..48cf852 100644
--- a/api-reference/series/series.cumprod.md
+++ b/api-reference/series/series.cumprod.md
@@ -2,13 +2,13 @@
 description: Return the cumulative product of a series
 ---
 
-# Series.cumprod
+# Series.cumProd
 
-> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
+> danfo.Series.**cumProd**()
 
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                    | Default                                                |
+| ---------- | ------ | -------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not. | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -21,7 +21,7 @@ const dfd = require("danfojs-node")
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf1 = new dfd.Series(data1)
 
-sf1.cumprod().print()
+sf1.cumProd().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -29,23 +29,21 @@ sf1.cumprod().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 450                  ║
-╟───┼──────────────────────╢
-║ 2 │ 25200                ║
-╟───┼──────────────────────╢
-║ 3 │ 630000               ║
-╟───┼──────────────────────╢
-║ 4 │ 14490000             ║
-╟───┼──────────────────────╢
-║ 5 │ 289800000            ║
-╟───┼──────────────────────╢
-║ 6 │ 2898000000           ║
-╚═══╧══════════════════════╝
+╔═══╤════════════╗
+║ 0 │ 10         ║
+╟───┼────────────╢
+║ 1 │ 450        ║
+╟───┼────────────╢
+║ 2 │ 25200      ║
+╟───┼────────────╢
+║ 3 │ 630000     ║
+╟───┼────────────╢
+║ 4 │ 14490000   ║
+╟───┼────────────╢
+║ 5 │ 289800000  ║
+╟───┼────────────╢
+║ 6 │ 2898000000 ║
+╚═══╧════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.cumsum.md b/api-reference/series/series.cumsum.md
index 7b7a19a..32db0d0 100644
--- a/api-reference/series/series.cumsum.md
+++ b/api-reference/series/series.cumsum.md
@@ -2,13 +2,13 @@
 description: Return a cumulative sum of a series
 ---
 
-# Series.cumsum
+# Series.cumSum
 
-> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
+> danfo.Series.**cumSum**(options)&#x20;
 
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                    | Default                                                |
+| ---------- | ------ | -------------------------------------------------------------- | ------------------------------------------------------ |
+| options    | Object | **inplace**: Whether to perform the operation in-place or not. | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
 
 **Example**
 
@@ -21,7 +21,7 @@ const dfd = require("danfojs-node")
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf1 = new dfd.Series(data1)
 
-sf1.cumsum().print()
+sf1.cumSum().print()
 ```
 {% endtab %}
 
@@ -54,21 +54,19 @@ sf1.cumsum().print()
 {% endtabs %}
 
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 55                   ║
-╟───┼──────────────────────╢
-║ 2 │ 111                  ║
-╟───┼──────────────────────╢
-║ 3 │ 136                  ║
-╟───┼──────────────────────╢
-║ 4 │ 159                  ║
-╟───┼──────────────────────╢
-║ 5 │ 179                  ║
-╟───┼──────────────────────╢
-║ 6 │ 189                  ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ 10  ║
+╟───┼─────╢
+║ 1 │ 55  ║
+╟───┼─────╢
+║ 2 │ 111 ║
+╟───┼─────╢
+║ 3 │ 136 ║
+╟───┼─────╢
+║ 4 │ 159 ║
+╟───┼─────╢
+║ 5 │ 179 ║
+╟───┼─────╢
+║ 6 │ 189 ║
+╚═══╧═════╝
 ```
diff --git a/api-reference/series/series.describe.md b/api-reference/series/series.describe.md
index ce52246..56472d3 100644
--- a/api-reference/series/series.describe.md
+++ b/api-reference/series/series.describe.md
@@ -7,7 +7,7 @@ description: >-
 
 # Series.describe
 
-> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
+> danfo.Series.describe()&#x20;
 
 **Parameters:** No parameter
 
@@ -35,23 +35,21 @@ sf.describe().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔══════════╤══════════════════════╗
-║          │ 0                    ║
-╟──────────┼──────────────────────╢
-║ count    │ 6                    ║
-╟──────────┼──────────────────────╢
-║ mean     │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ std      │ 1.8708286933869707   ║
-╟──────────┼──────────────────────╢
-║ min      │ 1                    ║
-╟──────────┼──────────────────────╢
-║ median   │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ max      │ 6                    ║
-╟──────────┼──────────────────────╢
-║ variance │ 3.5                  ║
-╚══════════╧══════════════════════╝
+╔══════════╤════════════════════╗
+║ count    │ 6                  ║
+╟──────────┼────────────────────╢
+║ mean     │ 3.5                ║
+╟──────────┼────────────────────╢
+║ std      │ 1.8708286933869707 ║
+╟──────────┼────────────────────╢
+║ min      │ 1                  ║
+╟──────────┼────────────────────╢
+║ median   │ 3.5                ║
+╟──────────┼────────────────────╢
+║ max      │ 6                  ║
+╟──────────┼────────────────────╢
+║ variance │ 3.5                ║
+╚══════════╧════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.div.md b/api-reference/series/series.div.md
index 656a796..4bbdae8 100644
--- a/api-reference/series/series.div.md
+++ b/api-reference/series/series.div.md
@@ -6,7 +6,7 @@ description: >-
 
 # Series.div
 
-> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
+> danfo.Series.div(other, options)
 
 | Parameters | Type          | Description                                                                                    | Default                               |
 | ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
diff --git a/api-reference/series/series.drop_duplicates.md b/api-reference/series/series.drop_duplicates.md
index 08edf09..7023f2c 100644
--- a/api-reference/series/series.drop_duplicates.md
+++ b/api-reference/series/series.drop_duplicates.md
@@ -2,13 +2,13 @@
 description: Remove duplicate rows
 ---
 
-# Series.drop\_duplicates
+# Series.dropDuplicates
 
-> danfo.Series.**drop\_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
+> danfo.Series.dropDuplicates(options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
-| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+| Parameters | Type   | Description       | Default                                                                                                                                                                                |
+| ---------- | ------ | ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| options    | Object | **keep**: "first" | <p>"last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> |
 
 **Returns:** Series
 
@@ -23,7 +23,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
 let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates()
+let sf_drop = sf.dropDuplicates()
 
 sf_drop.print()
 ```
@@ -33,19 +33,17 @@ sf_drop.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 45 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 4 │ 23 ║
+╟───┼────╢
+║ 5 │ 20 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -59,7 +57,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
 let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates({keep:"last"})
+let sf_drop = sf.dropDuplicates({ keep: "last" })
 
 sf_drop.print()
 ```
@@ -69,19 +67,17 @@ sf_drop.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 1 │ 45 ║
+╟───┼────╢
+║ 2 │ 56 ║
+╟───┼────╢
+║ 4 │ 23 ║
+╟───┼────╢
+║ 5 │ 20 ║
+╟───┼────╢
+║ 7 │ 10 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -95,7 +91,7 @@ const dfd = require("danfojs-node")
 
 let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
 let sf = new dfd.Series(data1)
-sf.drop_duplicates({inplace:true})
+sf.dropDuplicates({ inplace: true })
 
 sf.print()
 ```
@@ -105,17 +101,15 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ A                    ║
-╟───┼──────────────────────╢
-║ 3 │ B                    ║
-╟───┼──────────────────────╢
-║ 5 │ C                    ║
-╟───┼──────────────────────╢
-║ 7 │ D                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ A ║
+╟───┼───╢
+║ 3 │ B ║
+╟───┼───╢
+║ 5 │ C ║
+╟───┼───╢
+║ 7 │ D ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dropna.md b/api-reference/series/series.dropna.md
index 2fab716..6786478 100644
--- a/api-reference/series/series.dropna.md
+++ b/api-reference/series/series.dropna.md
@@ -2,28 +2,24 @@
 description: Remove missing values from Series
 ---
 
-# Series.dropna
+# Series.dropNa
 
-> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
+> danfo.Series.dropNa(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
 
-| Parameters | Type   | Description                                                                                    | Default                             |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                    | Default                            |
+| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ---------------------------------- |
+| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{<br>inplace: false</p><p>}</p> |
 
-**Returns**: Series
-
-**Examples**
-
-### Drop all nan value and then return New Series.
+### Drop all missing values and then return New Series.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
+let data1 = [10, 45, undefined, 10, 23, 20, null, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.dropna()
+let sf_rep = sf.dropNa()
 
 sf_rep.print()
 ```
@@ -33,21 +29,19 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 45 ║
+╟───┼────╢
+║ 3 │ 10 ║
+╟───┼────╢
+║ 4 │ 23 ║
+╟───┼────╢
+║ 5 │ 20 ║
+╟───┼────╢
+║ 7 │ 10 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -61,7 +55,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
 let sf = new dfd.Series(data1)
-sf.dropna({inplace:true})
+sf.dropNa({inplace:true})
 
 sf.print()
 ```
@@ -71,21 +65,19 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 45 ║
+╟───┼────╢
+║ 3 │ 10 ║
+╟───┼────╢
+║ 4 │ 23 ║
+╟───┼────╢
+║ 5 │ 20 ║
+╟───┼────╢
+║ 7 │ 10 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.day.md b/api-reference/series/series.dt.day.md
index 6461fa5..827fd29 100644
--- a/api-reference/series/series.dt.day.md
+++ b/api-reference/series/series.dt.day.md
@@ -2,9 +2,9 @@
 description: Obtain the numerical representation of the week day.
 ---
 
-# Series.dt.day
+# Series.dt.dayOfWeek
 
-> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
+> danfo.Series.dt.dayOfWeek() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
 
 **Parameters**: None
 
@@ -17,10 +17,12 @@ description: Obtain the numerical representation of the week day.
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
+let data = new dfd.dateRange({"start":'2016-12-31', "end":'2018-01-08'})
 let sf = new dfd.Series(data)
-
-sf.dt.day().print()
+//print series
+sf.print()
+//print days of the week
+sf.dt.dayOfWeek().print()
 ```
 {% endtab %}
 
@@ -31,6 +33,28 @@ sf.dt.day().print()
 {% endtabs %}
 
 ```
+╔═══╤════════════════════════╗
+║ 0 │ 12/31/2016, 1:00:00 AM ║
+╟───┼────────────────────────╢
+║ 1 │ 1/1/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 2 │ 1/2/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 3 │ 1/3/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 4 │ 1/4/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 5 │ 1/5/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 6 │ 1/6/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 7 │ 1/7/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 8 │ 1/8/2017, 1:00:00 AM   ║
+╟───┼────────────────────────╢
+║ 9 │ 1/9/2017, 1:00:00 AM   ║
+╚═══╧════════════════════════╝
+
 ╔═══╤═══╗
 ║ 0 │ 6 ║
 ╟───┼───╢
diff --git a/api-reference/series/series.dt.hour.md b/api-reference/series/series.dt.hour.md
index 16369bb..41ae2b3 100644
--- a/api-reference/series/series.dt.hour.md
+++ b/api-reference/series/series.dt.hour.md
@@ -2,9 +2,9 @@
 description: Obtain the hours in a time series
 ---
 
-# Series.dt.hour
+# Series.dt.hours
 
-> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
+> danfo.Series.dt.**hours**()&#x20;
 
 **Parameters:** None
 
@@ -17,7 +17,7 @@ description: Obtain the hours in a time series
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
+let data = new dfd.dateRange({"start":"2000-01-01", period:3, freq:"H"})
 let sf = new dfd.Series(data)
 // print series
 sf.print()
@@ -46,7 +46,6 @@ sf.dt.hours().print()
 ╟───┼───╢
 ║ 1 │ 2 ║
 ╚═══╧═══╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.minute.md b/api-reference/series/series.dt.minute.md
index ea8bfee..e092c07 100644
--- a/api-reference/series/series.dt.minute.md
+++ b/api-reference/series/series.dt.minute.md
@@ -4,7 +4,7 @@ description: Obtain the minutes in a Time Series
 
 # Series.dt.minutes
 
-> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
+> danfo.Series.dt.**minutes**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
 
 **Parameters**: None
 
@@ -17,7 +17,7 @@ description: Obtain the minutes in a Time Series
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
+let data = new dfd.dateRange({"start":"2000-01-01", period:3, freq:"m"})
 let sf = new dfd.Series(data)
 //print the series
 sf.print()
diff --git a/api-reference/series/series.dt.month.md b/api-reference/series/series.dt.month.md
index e21eeda..7337900 100644
--- a/api-reference/series/series.dt.month.md
+++ b/api-reference/series/series.dt.month.md
@@ -4,7 +4,7 @@ description: Obtain the month in a date time series
 
 # Series.dt.month
 
-> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
+> danfo.Series.dt.**month**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
 
 **Parameters**: None
 
@@ -17,7 +17,7 @@ description: Obtain the month in a date time series
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
+let data = new dfd.dateRange({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
 let sf = new dfd.Series(data)
 
 sf.dt.month().print()
diff --git a/api-reference/series/series.dt.month_name.md b/api-reference/series/series.dt.month_name.md
index 4e83618..0029d6f 100644
--- a/api-reference/series/series.dt.month_name.md
+++ b/api-reference/series/series.dt.month_name.md
@@ -2,9 +2,9 @@
 description: obtain the month name in a Time Series
 ---
 
-# Series.dt.month\_name
+# Series.dt.monthName
 
-> danfo.Series.dt.month\_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
+> danfo.Series.dt.monthName() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
 
 **Parameters**: None
 
@@ -22,7 +22,7 @@ let sf = new dfd.Series(data)
 //print series
 sf.print()
 //print month names
-sf.dt.month_name().print()
+sf.dt.monthName().print()
 ```
 {% endtab %}
 
diff --git a/api-reference/series/series.dt.monthday.md b/api-reference/series/series.dt.monthday.md
index b385f17..03f1c45 100644
--- a/api-reference/series/series.dt.monthday.md
+++ b/api-reference/series/series.dt.monthday.md
@@ -2,9 +2,9 @@
 description: Obtain the day of the month
 ---
 
-# Series.dt.monthday
+# Series.dt.dayOfMonth
 
-> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
+> danfo.Series.dt.dayOfMonth() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
 
 **Parameters:** None
 
@@ -17,12 +17,12 @@ description: Obtain the day of the month
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
+let data = new dfd.dateRange({"start":"2000-01-01", period:4, freq:"D"})
 let sf = new dfd.Series(data)
 //print series
 sf.print()
 //print monthdays
-sf.dt.monthday().print()
+sf.dt.dayOfMonth().print()
 ```
 {% endtab %}
 
diff --git a/api-reference/series/series.dt.second.md b/api-reference/series/series.dt.second.md
index 43330be..1ccee42 100644
--- a/api-reference/series/series.dt.second.md
+++ b/api-reference/series/series.dt.second.md
@@ -4,7 +4,7 @@ description: Obtain the seconds in Date series
 
 # Series.dt.seconds
 
-> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
+> danfo.Series.dt.**seconds**()
 
 **Parameters**: None
 
@@ -19,7 +19,7 @@ Obtain the seconds of the datetime
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
+let data = new dfd.dateRange({"start":"2000-01-01", period:3, freq:"s"})
 let sf = new dfd.Series(data)
 //print the series frame
 sf.print()
@@ -38,7 +38,6 @@ sf.dt.seconds().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-
 ╔═══╤══════════════════════╗
 ║ 0 │ 1/1/2000, 1:00:00 AM ║
 ╟───┼──────────────────────╢
@@ -54,7 +53,6 @@ sf.dt.seconds().print()
 ╟───┼───╢
 ║ 2 │ 2 ║
 ╚═══╧═══╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.dt.weekdays.md b/api-reference/series/series.dt.weekdays.md
index 04dbe18..05996c3 100644
--- a/api-reference/series/series.dt.weekdays.md
+++ b/api-reference/series/series.dt.weekdays.md
@@ -2,9 +2,9 @@
 description: Obtain the days of the weeks
 ---
 
-# Series.dt.weekdays
+# Series.dt.dayOfWeek
 
-> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
+> danfo.Series.dt.dayOfWeek() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
 
 **Parameters**: None
 
@@ -17,12 +17,12 @@ description: Obtain the days of the weeks
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
+let data = new dfd.dateRange({"start":'2016-12-31', "end":'2018-01-08'})
 let sf = new dfd.Series(data)
 //print series
 sf.print()
 //print days of the week
-sf.dt.weekdays().print()
+sf.dt.dayOfWeek().print()
 ```
 {% endtab %}
 
@@ -55,25 +55,25 @@ sf.dt.weekdays().print()
 ║ 9 │ 1/9/2017, 1:00:00 AM   ║
 ╚═══╧════════════════════════╝
 
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
+╔═══╤═══╗
+║ 0 │ 6 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 2 ║
+╟───┼───╢
+║ 4 │ 3 ║
+╟───┼───╢
+║ 5 │ 4 ║
+╟───┼───╢
+║ 6 │ 5 ║
+╟───┼───╢
+║ 7 │ 6 ║
+╟───┼───╢
+║ 8 │ 0 ║
+╟───┼───╢
+║ 9 │ 1 ║
+╚═══╧═══╝
 ```
diff --git a/api-reference/series/series.dt.year.md b/api-reference/series/series.dt.year.md
index ed1117f..48fbbea 100644
--- a/api-reference/series/series.dt.year.md
+++ b/api-reference/series/series.dt.year.md
@@ -4,7 +4,7 @@ description: Obtain the year in a date time series
 
 # Series.dt.year
 
-> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
+> danfo.Series.dt.**year**()&#x20;
 
 **Parameters**: None
 
@@ -17,7 +17,7 @@ description: Obtain the year in a date time series
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
+let data = new dfd.dateRange({"start":"2000-01-01", period:3, freq:"Y"})
 let sf = new dfd.Series(data)
 sf.print()
 sf.dt.year().print()
diff --git a/api-reference/series/series.eq.md b/api-reference/series/series.eq.md
index 43a3ece..f711b5c 100644
--- a/api-reference/series/series.eq.md
+++ b/api-reference/series/series.eq.md
@@ -4,11 +4,11 @@ description: Check all the values in a series is equal to another value
 
 # Series.eq
 
-> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
+> danfo.Series.eq(other)&#x20;
 
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
+| Parameters | Type                    | Description      | Default |
+| ---------- | ----------------------- | ---------------- | ------- |
+| other      | Series, Array or number | value to compare |         |
 
 **Returns**: Series (Boolean element)
 
@@ -34,23 +34,21 @@ sf1.eq(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -73,23 +71,21 @@ sf1.eq(10).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.fillna.md b/api-reference/series/series.fillna.md
index a1db3a8..b263a06 100644
--- a/api-reference/series/series.fillna.md
+++ b/api-reference/series/series.fillna.md
@@ -2,13 +2,14 @@
 description: Replace all NaN value with specified value
 ---
 
-# Series.fillna
+# Series.fillNa
 
-> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
+> danfo.Series.fillNa(options)
 
-| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+| Parameters  | Type   | Description                                                                                        | Default                               |
+| ----------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------------------------- |
+| **value**   | Any    | <p>The value to replace all missing value with.</p><p><strong></strong></p>                        |                                       |
+| **options** | Object | **inplace**: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Examples**
 
@@ -22,7 +23,7 @@ const dfd = require("danfojs-node")
 let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
 let sf = new dfd.Series(data1)
 
-let sf_rep = sf.fillna({ value: -999})
+let sf_rep = sf.fillNa(-999)
 
 sf_rep.print()
 ```
@@ -32,43 +33,41 @@ sf_rep.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ -999 ║
+╟───┼──────╢
+║ 1 │ 1    ║
+╟───┼──────╢
+║ 2 │ 2    ║
+╟───┼──────╢
+║ 3 │ 33   ║
+╟───┼──────╢
+║ 4 │ 4    ║
+╟───┼──────╢
+║ 5 │ -999 ║
+╟───┼──────╢
+║ 6 │ 5    ║
+╟───┼──────╢
+║ 7 │ 6    ║
+╟───┼──────╢
+║ 8 │ 7    ║
+╟───┼──────╢
+║ 9 │ 8    ║
+╚═══╧══════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Fill nan value in-place
+### Fill nan value inplace
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
+let data1 = [NaN, 1, 2, 33, 4, undefined, 5, 6, 7, 8]
 let sf = new dfd.Series(data1)
-sf.fillna({ value: -999, inplace: true })
+sf.fillNa(-999, { inplace: true })
 
 sf.print()
 ```
@@ -78,29 +77,27 @@ sf.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ -999 ║
+╟───┼──────╢
+║ 1 │ 1    ║
+╟───┼──────╢
+║ 2 │ 2    ║
+╟───┼──────╢
+║ 3 │ 33   ║
+╟───┼──────╢
+║ 4 │ 4    ║
+╟───┼──────╢
+║ 5 │ -999 ║
+╟───┼──────╢
+║ 6 │ 5    ║
+╟───┼──────╢
+║ 7 │ 6    ║
+╟───┼──────╢
+║ 8 │ 7    ║
+╟───┼──────╢
+║ 9 │ 8    ║
+╚═══╧══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.ge.md b/api-reference/series/series.ge.md
index 0fb1aeb..8ceae56 100644
--- a/api-reference/series/series.ge.md
+++ b/api-reference/series/series.ge.md
@@ -4,7 +4,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 # Series.ge
 
-> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
+> danfo.Series.ge(other)&#x20;
 
 | Parameters | Type                    | Description         | Default |
 | ---------- | ----------------------- | ------------------- | ------- |
@@ -14,7 +14,7 @@ description: Check if all the values in a series is greater than or equal a valu
 
 **Example**
 
-Compare all the value in a Series to the values in another series
+Compare all the values in a Series to the values in another series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -34,28 +34,26 @@ sf1.ge(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-Check if all the value in a Series is greater than or equal a value.
+Check if all the value in a Series is greater than or equal to a scalar value.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -73,23 +71,21 @@ sf1.ge(20).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.gt.md b/api-reference/series/series.gt.md
index 184ca28..f76171d 100644
--- a/api-reference/series/series.gt.md
+++ b/api-reference/series/series.gt.md
@@ -4,7 +4,7 @@ description: Check if all the value in a series is greater than a value
 
 # Series.gt
 
-> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
+> danfo.Series.gt(other)&#x20;
 
 | Parameters | Type                    | Description         | Default |
 | ---------- | ----------------------- | ------------------- | ------- |
@@ -32,23 +32,21 @@ sf1.gt(20).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -73,23 +71,21 @@ sf1.gt(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.head.md b/api-reference/series/series.head.md
index 2892263..1601c9e 100644
--- a/api-reference/series/series.head.md
+++ b/api-reference/series/series.head.md
@@ -4,13 +4,13 @@ description: Obtain the first n rows for the object based on position.
 
 # Series.head
 
-> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+> danfo.Series.head(rows)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of first n values | 5 |
+| Parameters | Type | Description              | Default |
+| ---------- | ---- | ------------------------ | ------- |
+| rows       | Int  | number of first n values | 5       |
 
- **Return:** Series
+**Return:** Series
 
 **Example**
 
@@ -29,7 +29,7 @@ sf1.head().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤══════════════════════╗
 ║   │ 0                    ║
 ╟───┼──────────────────────╢
@@ -46,6 +46,3 @@ sf1.head().print()
 ```
 {% endtab %}
 {% endtabs %}
-
-
-
diff --git a/api-reference/series/series.iloc.md b/api-reference/series/series.iloc.md
index ab7d1f3..8adadff 100644
--- a/api-reference/series/series.iloc.md
+++ b/api-reference/series/series.iloc.md
@@ -1,14 +1,10 @@
 # Series.iloc
 
-danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.Series.**iloc**()&#x20;
 
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
+| Parameters | Type                  | Description                                                            | Default |
+| ---------- | --------------------- | ---------------------------------------------------------------------- | ------- |
+| rows       | Array or String slice | Array, string slice, index of row positions boolean mask to filter by. |         |
 
 ## **Examples**
 
@@ -21,7 +17,7 @@ Allowed inputs are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `"1:7"`
 
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+_**Note:** only \*\*\*\* the start label is included, and the end label is ignored._
 
 `.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
 
@@ -32,10 +28,8 @@ _**Note:** only **** the start label is included, and the end label is ignored._
 ```javascript
 const dfd = require("danfojs-node")
 
-
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
 s.iloc([0,5]).print()
-
 ```
 {% endtab %}
 
@@ -48,20 +42,18 @@ s.iloc([0,5]).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╚═══╧══════════════════════╝
+╔═══╤════╗
+║ 0 │ 12 ║
+╟───┼────╢
+║ 5 │ 30 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
 
 ### **Index by a slice of row**
 
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.&#x20;
+The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -82,24 +74,22 @@ s.iloc(["0:5"]).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2.2                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 30                   ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 0 │ 12  ║
+╟───┼─────╢
+║ 1 │ 34  ║
+╟───┼─────╢
+║ 2 │ 2.2 ║
+╟───┼─────╢
+║ 3 │ 2   ║
+╟───┼─────╢
+║ 4 │ 30  ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-By specifying a start index in a slice, all values after that index are returned.&#x20;
+By specifying a start index in a slice, all values after that index are returned.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -120,29 +110,27 @@ s.iloc(["5:"]).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╟───┼──────────────────────╢
-║ 6 │ 2.1                  ║
-╟───┼──────────────────────╢
-║ 7 │ 7                    ║
-╚═══╧══════════════════════╝
+╔═══╤═════╗
+║ 5 │ 30  ║
+╟───┼─────╢
+║ 6 │ 2.1 ║
+╟───┼─────╢
+║ 7 │ 7   ║
+╚═══╧═════╝
 ```
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition&#x20;
+### Slice Series by boolean condition
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-
 let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
 s.iloc(s.gt(20)).print()
+
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.index.md b/api-reference/series/series.index.md
index 1cc95da..9a79c76 100644
--- a/api-reference/series/series.index.md
+++ b/api-reference/series/series.index.md
@@ -4,7 +4,7 @@ description: Obtain the index of a Series
 
 # Series.index
 
-> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
+> danfo.Series.index&#x20;
 
 **Returns**: Array
 
@@ -25,9 +25,8 @@ console.log(sf1.index)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [ 0, 1, 2, 3 ]
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.isna.md b/api-reference/series/series.isna.md
index cdf6343..6dfe2e9 100644
--- a/api-reference/series/series.isna.md
+++ b/api-reference/series/series.isna.md
@@ -2,13 +2,13 @@
 description: Detect Missing values
 ---
 
-# Series.isna
+# Series.isNa
 
-> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
+> danfo.Series.isNa()&#x20;
 
 **Parameters**: None
 
-**Returns**:  Series \(Boolean element\)
+**Returns**: Series (Boolean element)
 
 **Example**
 
@@ -20,26 +20,23 @@ const dfd = require("danfojs-node")
 let data1 = [NaN, undefined, "girl", "Man"]
 let sf = new dfd.Series(data1)
 
-sf.isna().print()
+sf.isNa().print()
 ```
 {% endtab %}
 {% endtabs %}
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╚═══╧══════════════════════╝
+```
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.le.md b/api-reference/series/series.le.md
index 44006e2..2e1111d 100644
--- a/api-reference/series/series.le.md
+++ b/api-reference/series/series.le.md
@@ -4,7 +4,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 # Series.le
 
-> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
+> danfo.Series.le(other)&#x20;
 
 | Parameters | Type                    | Description         | Default |
 | ---------- | ----------------------- | ------------------- | ------- |
@@ -14,7 +14,7 @@ description: Check if all the values in a series is less than or equal to a valu
 
 **Example**
 
-Check if all the values in a series is less than or equal to a value
+Check if all the values in a series are less than or equal to a value
 
 {% tabs %}
 {% tab title="Node" %}
@@ -32,23 +32,21 @@ sf1.le(20).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -73,24 +71,21 @@ sf1.le(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.loc.md b/api-reference/series/series.loc.md
index 13772ab..8f9bcbb 100644
--- a/api-reference/series/series.loc.md
+++ b/api-reference/series/series.loc.md
@@ -4,19 +4,15 @@ description: Access a group of rows by label(s) or a boolean array.
 
 # Series.loc
 
-danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
+danfo.Series.**loc**()&#x20;
 
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
+| Parameters | Type          | Description                                                            | Default |
+| ---------- | ------------- | ---------------------------------------------------------------------- | ------- |
+| rows       | Array, String | Array, string slice, index of row positions boolean mask to filter by. |         |
 
 ## **Examples**
 
-`.loc()` is  label position based (from `0` to `length-1` of the row axis).
+`.loc()` is label position based (from `0` to `length-1` of the row axis).
 
 Allowed inputs are:
 
@@ -25,7 +21,7 @@ Allowed inputs are:
 * A boolean mask. E.g \[ true, false, false ]
 * A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
 
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
+_**Note:** only \*\*\*\* the start label is included, and the end label is ignored._
 
 `.loc` will raise a `ValueEror` if a requested label is not found.
 
@@ -43,7 +39,6 @@ let s = new dfd.Series(data, { index })
 s.print()
 
 s.loc(["a", "g"]).print()
-
 ```
 {% endtab %}
 
@@ -85,7 +80,7 @@ s.loc(["a", "g"]).print()
 
 ### **Index by a slice of row**
 
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.&#x20;
+The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -125,14 +120,14 @@ s.loc([`"a":"e"`]).print()
 
 {% hint style="info" %}
 Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-`s.loc([a:e]).print()`\
+`s.loc(["a:e"]).print()`\
 For the slice above to work, you must quote each slice, e.g:\
 `s.loc(["a":"e"]).print()`\
 \
 _**Inner quotes are not needed for numeric indices!**_
 {% endhint %}
 
-### By specifying a start index in a slice, all values after that index are returned.&#x20;
+### By specifying a start index in a slice, all values after that index are returned.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -168,12 +163,11 @@ s.loc([`1:`]).print()
 ╟───┼─────╢
 ║ 7 │ 7   ║
 ╚═══╧═════╝
-
 ```
 {% endtab %}
 {% endtabs %}
 
-### Slice Series by boolean condition&#x20;
+### Slice Series by boolean condition
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/series/series.lt.md b/api-reference/series/series.lt.md
index 7af18bc..0807c50 100644
--- a/api-reference/series/series.lt.md
+++ b/api-reference/series/series.lt.md
@@ -4,7 +4,7 @@ description: Check if all values in a Series are less than a value.
 
 # Series.lt
 
-> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
+> danfo.Series.lt(other)&#x20;
 
 | Parameters | Type                    | Description         | Default |
 | ---------- | ----------------------- | ------------------- | ------- |
@@ -32,23 +32,21 @@ sf1.lt(20).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ true  ║
+╟───┼───────╢
+║ 1 │ false ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ false ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -73,24 +71,21 @@ sf1.lt(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ false ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ false ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.map.md b/api-reference/series/series.map.md
index 0e0850a..13ea329 100644
--- a/api-reference/series/series.map.md
+++ b/api-reference/series/series.map.md
@@ -4,7 +4,7 @@ description: Map the value of a series to a function or Object
 
 # Series.map
 
-> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
+> danfo.series.**map**(callable)
 
 | Parameter | Type               | Description                                                                                    | Default                               |
 | --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -13,7 +13,7 @@ description: Map the value of a series to a function or Object
 
 **Example**
 
-Mapping the element in a Series  words in an Object
+Mapping the element in a Series words in an Object
 
 {% tabs %}
 {% tab title="Node" %}
@@ -23,7 +23,6 @@ const dfd = require("danfojs-node")
 let sf = new dfd.Series([1, 2, 3, 4])
 let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
 sf.map(map).print()
-
 ```
 {% endtab %}
 
@@ -36,17 +35,15 @@ sf.map(map).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ ok                   ║
-╟───┼──────────────────────╢
-║ 1 │ okie                 ║
-╟───┼──────────────────────╢
-║ 2 │ frit                 ║
-╟───┼──────────────────────╢
-║ 3 │ gop                  ║
-╚═══╧══════════════════════╝
+╔═══╤══════╗
+║ 0 │ ok   ║
+╟───┼──────╢
+║ 1 │ okie ║
+╟───┼──────╢
+║ 2 │ frit ║
+╟───┼──────╢
+║ 3 │ gop  ║
+╚═══╧══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -63,7 +60,6 @@ let sf = new dfd.Series([1,2,3,4])
 sf.map((x)=>{
     return `I have ${x} cat(s)`
 }).print()
-
 ```
 {% endtab %}
 
@@ -76,17 +72,15 @@ sf.map((x)=>{
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ I have 1 cat(s)      ║
-╟───┼──────────────────────╢
-║ 1 │ I have 2 cat(s)      ║
-╟───┼──────────────────────╢
-║ 2 │ I have 3 cat(s)      ║
-╟───┼──────────────────────╢
-║ 3 │ I have 4 cat(s)      ║
-╚═══╧══════════════════════╝
+╔═══╤═════════════════╗
+║ 0 │ I have 1 cat(s) ║
+╟───┼─────────────────╢
+║ 1 │ I have 2 cat(s) ║
+╟───┼─────────────────╢
+║ 2 │ I have 3 cat(s) ║
+╟───┼─────────────────╢
+║ 3 │ I have 4 cat(s) ║
+╚═══╧═════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.max.md b/api-reference/series/series.max.md
index 4f7193a..3b8d696 100644
--- a/api-reference/series/series.max.md
+++ b/api-reference/series/series.max.md
@@ -4,7 +4,7 @@ description: Obtain the maximum value in a Series
 
 # Series.max
 
-> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
+> danfo.Series.max()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.max())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.maximum.md b/api-reference/series/series.maximum.md
index afc5a48..da34106 100644
--- a/api-reference/series/series.maximum.md
+++ b/api-reference/series/series.maximum.md
@@ -4,11 +4,11 @@ description: Obtain the maximum number between two series
 
 # Series.maximum
 
-> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
+> danfo.Series.maximum(other)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
+| Parameters | Type   | Description     | Default |
+| ---------- | ------ | --------------- | ------- |
+| other      | Series | series to match |         |
 
 **Return:** {Series}
 
@@ -30,21 +30,17 @@ sf1.maximum(sf2).print()
 
 {% tabs %}
 {% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 41                   ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 0 │ 30 ║
+╟───┼────╢
+║ 1 │ 41 ║
+╟───┼────╢
+║ 2 │ 3  ║
+╟───┼────╢
+║ 3 │ 5  ║
+╚═══╧════╝
+
 ```
 {% endtab %}
 {% endtabs %}
-
-
-
diff --git a/api-reference/series/series.mean.md b/api-reference/series/series.mean.md
index 17d97e6..29d23a4 100644
--- a/api-reference/series/series.mean.md
+++ b/api-reference/series/series.mean.md
@@ -1,10 +1,10 @@
 ---
-description: Obtain the mean of a series
+description: Returns the mean of a series
 ---
 
 # Series.mean
 
-> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
+> danfo.Series.mean()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.mean())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.median.md b/api-reference/series/series.median.md
index d1cde75..b1b8524 100644
--- a/api-reference/series/series.median.md
+++ b/api-reference/series/series.median.md
@@ -1,10 +1,10 @@
 ---
-description: Obtain the median of a series
+description: Returns the median of a series
 ---
 
 # Series.median
 
-> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
+> danfo.Series.median()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.median())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.min.md b/api-reference/series/series.min.md
index 6e11a67..2ec7533 100644
--- a/api-reference/series/series.min.md
+++ b/api-reference/series/series.min.md
@@ -4,7 +4,7 @@ description: Obtain the minimum value in a series
 
 # Series.min
 
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+> danfo.Series.min()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.min())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.minimum.md b/api-reference/series/series.minimum.md
index a06ba69..0be491f 100644
--- a/api-reference/series/series.minimum.md
+++ b/api-reference/series/series.minimum.md
@@ -1,14 +1,14 @@
 ---
-description: Obtain the minimum value between two series (element wise)
+description: Return the minimum between two series (element wise)
 ---
 
 # Series.minimum
 
-> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
+> danfo.Series.minimum(other)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
+| Parameters | Type   | Description     | Default |
+| ---------- | ------ | --------------- | ------- |
+| other      | Series | series to match |         |
 
 **Return:** {Series}
 
@@ -30,19 +30,16 @@ sf1.minimum(sf2).print()
 
 {% tabs %}
 {% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 40                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 0 │ 10 ║
+╟───┼────╢
+║ 1 │ 40 ║
+╟───┼────╢
+║ 2 │ 2  ║
+╟───┼────╢
+║ 3 │ 0  ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.mod.md b/api-reference/series/series.mod.md
index fdf0555..0f8a584 100644
--- a/api-reference/series/series.mod.md
+++ b/api-reference/series/series.mod.md
@@ -1,10 +1,10 @@
 ---
-description: Return Modulo of series and other, element-wise (binary operator mod).
+description: Returns Modulo of series and other, element-wise (binary operator mod).
 ---
 
 # Series.mod
 
-> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
+> danfo.Series.mod(other, options)&#x20;
 
 | Parameters | Type               | Description                                                                                    | Default                               |
 | ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -34,17 +34,15 @@ sf1.mod(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.8999999761581421   ║
-╟───┼──────────────────────╢
-║ 1 │ 1.3999993801116943   ║
-╟───┼──────────────────────╢
-║ 2 │ 0.7000000476837158   ║
-╟───┼──────────────────────╢
-║ 3 │ 0.19999980926513672  ║
-╚═══╧══════════════════════╝
+╔═══╤═════════════════════╗
+║ 0 │ 0.8999999999999999  ║
+╟───┼─────────────────────╢
+║ 1 │ 1.3999999999999977  ║
+╟───┼─────────────────────╢
+║ 2 │ 0.7000000000000002  ║
+╟───┼─────────────────────╢
+║ 3 │ 0.20000000000000018 ║
+╚═══╧═════════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -67,19 +65,17 @@ sf1.mod(2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╚═══╧══════════════════════╝
+╔═══╤═══╗
+║ 0 │ 1 ║
+╟───┼───╢
+║ 1 │ 0 ║
+╟───┼───╢
+║ 2 │ 1 ║
+╟───┼───╢
+║ 3 │ 0 ║
+╟───┼───╢
+║ 4 │ 1 ║
+╚═══╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.mode.md b/api-reference/series/series.mode.md
index 6077686..24317e9 100644
--- a/api-reference/series/series.mode.md
+++ b/api-reference/series/series.mode.md
@@ -1,10 +1,10 @@
 ---
-description: Obtain the center value in a series
+description: Returns the mode of elements in a series
 ---
 
 # Series.mode
 
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
+> danfo.Series.mode()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.mode())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.mul.md b/api-reference/series/series.mul.md
index d5d33de..fed6958 100644
--- a/api-reference/series/series.mul.md
+++ b/api-reference/series/series.mul.md
@@ -4,7 +4,7 @@ description: Return Multiplication of series and other, element-wise (binary ope
 
 # Series.mul
 
-> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
+> danfo.Series.mul(other, options)&#x20;
 
 | Parameters | Type          | Description                                                                                    | Default                               |
 | ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -83,4 +83,3 @@ sf1.mul(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.ndim.md b/api-reference/series/series.ndim.md
index 8623e80..9981c95 100644
--- a/api-reference/series/series.ndim.md
+++ b/api-reference/series/series.ndim.md
@@ -4,7 +4,7 @@ description: Obtain the dimension of a series
 
 # Series.ndim
 
-> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
+> danfo.Series.ndim
 
 **Parameters:** None
 
diff --git a/api-reference/series/series.ne.md b/api-reference/series/series.ne.md
index 16cf1dc..5cb2173 100644
--- a/api-reference/series/series.ne.md
+++ b/api-reference/series/series.ne.md
@@ -4,11 +4,11 @@ description: Check if all values in a  series is not equal to a value(s)
 
 # Series.ne
 
-> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
+> danfo.Series.ne(other)
 
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
+| Parameters | Type                    | Description           | Default |
+| ---------- | ----------------------- | --------------------- | ------- |
+| other      | Series, Array or number | value to compare with |         |
 
 **Returns**: Series (Boolean element)
 
@@ -34,23 +34,21 @@ sf1.ne(sf2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ false ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ true  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -73,23 +71,21 @@ sf1.ne(10).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ false ║
+╟───┼───────╢
+║ 1 │ true  ║
+╟───┼───────╢
+║ 2 │ true  ║
+╟───┼───────╢
+║ 3 │ true  ║
+╟───┼───────╢
+║ 4 │ true  ║
+╟───┼───────╢
+║ 5 │ true  ║
+╟───┼───────╢
+║ 6 │ false ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.nunique.md b/api-reference/series/series.nunique.md
index 092a2eb..55fe86b 100644
--- a/api-reference/series/series.nunique.md
+++ b/api-reference/series/series.nunique.md
@@ -2,9 +2,9 @@
 description: Returns the number of unique values in a series
 ---
 
-# Series.nunique
+# Series.nUnique
 
-> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+> danfo.Series.nUnique() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
 
 **Parameters**: None
 
@@ -20,7 +20,7 @@ const dfd = require("danfojs-node")
 let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
 let sf = new dfd.Series(data1)
 
-console.log(sf.nunique())
+console.log(sf.nUnique())
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.or.md b/api-reference/series/series.or.md
index 948c61d..a7af323 100644
--- a/api-reference/series/series.or.md
+++ b/api-reference/series/series.or.md
@@ -6,13 +6,13 @@ description: >-
 
 # Series.or
 
-> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
+> danfo.Series.**or**(other)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
+| Parameters | Type                             | Description          | Default |
+| ---------- | -------------------------------- | -------------------- | ------- |
+| other      | Series, Scalar, Array of Scalars | Data to compare with |         |
 
- **Return:** Series
+**Return:** Series
 
 ### **Logical OR between two Series object**
 
@@ -34,7 +34,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -73,7 +73,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -110,7 +110,7 @@ res.print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔═══╤═══════╗
 ║ 0 │ false ║
 ╟───┼───────╢
@@ -129,4 +129,3 @@ res.print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.pow.md b/api-reference/series/series.pow.md
index 2fbe542..761d60b 100644
--- a/api-reference/series/series.pow.md
+++ b/api-reference/series/series.pow.md
@@ -1,12 +1,12 @@
 ---
 description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
+  Returns the exponential power of series and other, element-wise (binary
+  operator pow).
 ---
 
 # Series.pow
 
-> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
+> danfo.Series.pow(other, options)&#x20;
 
 | Parameters | Type          | Description                                                                                    | Default                               |
 | ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
diff --git a/api-reference/series/series.replace.md b/api-reference/series/series.replace.md
index 8a1f48b..3ad3402 100644
--- a/api-reference/series/series.replace.md
+++ b/api-reference/series/series.replace.md
@@ -4,11 +4,13 @@ description: Replace values given in replace param with value
 
 # Series.replace
 
-> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
+> danfo.Series.**replace**(oldValue, newValue, options)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
+| Parameters   | Type   | Description                                                                       | Default                               |
+| ------------ | ------ | --------------------------------------------------------------------------------- | ------------------------------------- |
+| **oldValue** | Any    | <p>The value you want to replace.</p><p> </p>                                     |                                       |
+| **newValue** | Any    | The new value you want to replace with.                                           |                                       |
+| options      | Object | **inplace**: Boolean, indicating whether to perform the operation inplace or not. | <p>{</p><p>inplace: false</p><p>}</p> |
 
 **Returns**: Series
 
@@ -23,7 +25,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
+let sf_rep = sf.replace(10, -50)
 
 sf_rep.print()
 ```
@@ -48,7 +50,6 @@ sf_rep.print()
 ╟───┼─────╢
 ║ 6 │ -50 ║
 ╚═══╧═════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -62,7 +63,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [10, 45, 56, 25, 23, 20, 10]
 let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
+sf.replace(10, -50, { inplace: true})
 
 sf.print()
 ```
@@ -85,5 +86,4 @@ sf.print()
 ╟───┼─────╢
 ║ 6 │ -50 ║
 ╚═══╧═════╝
-
 ```
diff --git a/api-reference/series/series.reset_index.md b/api-reference/series/series.reset_index.md
index c51497a..7f46d6f 100644
--- a/api-reference/series/series.reset_index.md
+++ b/api-reference/series/series.reset_index.md
@@ -2,17 +2,15 @@
 description: Reset the index of a series.
 ---
 
-# Series.reset\_index
+# Series.resetIndex
 
-> danfo.series.reset\_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
+> danfo.series.resetIndex(options)&#x20;
 
-| Parameters | Type   | Description                                                                                         | Default          |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
+| Parameters | Type   | Description                                                                                        | Default          |
+| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ---------------- |
+| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
 
-**Returns :** Series
-
-`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
+`resetIndex` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
 
 ### **Reset index to default values**
 
@@ -24,7 +22,7 @@ let data = [20, 30, 40]
 let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
 sf.print()
 
-let sf_reset = sf.reset_index()
+let sf_reset = sf.resetIndex()
 sf_reset.print()
 ```
 {% endtab %}
@@ -66,9 +64,8 @@ let data = [1, 2, 3, 4, 5, 6]
 let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
 sf.print()
 
-sf.reset_index({ inplace: true })
+sf.resetIndex({ inplace: true })
 sf.print()
-
 ```
 {% endtab %}
 
diff --git a/api-reference/series/series.round.md b/api-reference/series/series.round.md
index b6f0d82..6b05e45 100644
--- a/api-reference/series/series.round.md
+++ b/api-reference/series/series.round.md
@@ -4,7 +4,7 @@ description: round off floating values in series
 
 # Series.round
 
-> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
+> danfo.Series.round(dp, options)&#x20;
 
 | Parameters | Type   | Description                                                                                    | Default                               |
 | ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -31,18 +31,15 @@ sf1.round(2).print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21                ║
-╟───┼──────────────────────╢
-║ 1 │ 40.19                ║
-╟───┼──────────────────────╢
-║ 2 │ 3.56                 ║
-╟───┼──────────────────────╢
-║ 3 │ 5.02                 ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ 0 │ 30.21 ║
+╟───┼───────╢
+║ 1 │ 40.19 ║
+╟───┼───────╢
+║ 2 │ 3.56  ║
+╟───┼───────╢
+║ 3 │ 5.02  ║
+╚═══╧═══════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.sample.md b/api-reference/series/series.sample.md
index a28298d..368f549 100644
--- a/api-reference/series/series.sample.md
+++ b/api-reference/series/series.sample.md
@@ -1,33 +1,33 @@
 ---
-description: Return a random sample of items from an axis of object.
+description: Returns a random sample of items from an axis of object.
 ---
 
 # Series.sample
 
-> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
+> danfo.Series.sample(num)&#x20;
 
-| Parameters | Type   | Description                                                                                                                                  | Default                        |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
-| num        | Int    | The number of rows to return.                                                                                                                |                                |
-| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                 | Default                        |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
+| num        | Int    | The number of rows to return.                                                                                                               |                                |
+| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples. | <p>{</p><p>seed: 1</p><p>}</p> |
 
 **Returns:**
 
-&#x20;      ****       return **{Promies} resolves to Series**
+\*\*\*\* return **{Promies} resolves to Series**
 
 **Example**
 
 ```javascript
 const dfd = require("danfojs-node")
 
-async function load_data() {
-  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-  let sf1 = new dfd.Series(data1);
-  let sample = await sf1.sample(5)
-  sample.print()
-  
+async function sample_data() {
+    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
+    let sf1 = new dfd.Series(data1);
+    let sample = await sf1.sample(5)
+    sample.print()
+
 }
-load_data()
+sample_data()
 ```
 
 {% tabs %}
@@ -53,13 +53,12 @@ load_data()
 ```javascript
 const dfd = require("danfojs-node")
 
-async function load_data() {
+async function sample_data() {
     let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
     let sf1 = new dfd.Series(data1);
-    let sample = await sf1.sample(5, { seed: 2 })
+    let sample = await sf1.sample(5, { seed: 5 })
     sample.print()
 
 }
-load_data()
-
+sample_data()
 ```
diff --git a/api-reference/series/series.set_index.md b/api-reference/series/series.set_index.md
index 3de352f..c8cd012 100644
--- a/api-reference/series/series.set_index.md
+++ b/api-reference/series/series.set_index.md
@@ -2,9 +2,9 @@
 description: Assign new Index to Series
 ---
 
-# Series.set\_index
+# Series.setIndex
 
-> danfo.series.**set\_index(**options**)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
+> danfo.series.setIndex**(options)**&#x20;
 
 | Parameter | Type   | Description                                                                                    | Default                               |
 | --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -19,11 +19,12 @@ description: Assign new Index to Series
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+
 let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
 let sf = new dfd.Series(data)
 sf.print()
 
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
+let sf_new = sf.setIndex(["one", "two", "three"])
 sf_new.print()
 ```
 {% endtab %}
@@ -63,7 +64,7 @@ const dfd = require("danfojs-node")
 
 let data = ["Humans","Life","Meaning","Fact","Truth"]
 let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
+let sf_new = sf.setIndex(["H", "L", "M","F","T"])
 sf_new.print()
 ```
 {% endtab %}
@@ -77,19 +78,17 @@ sf_new.print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ H │ Humans               ║
-╟───┼──────────────────────╢
-║ L │ Life                 ║
-╟───┼──────────────────────╢
-║ M │ Meaning              ║
-╟───┼──────────────────────╢
-║ F │ Fact                 ║
-╟───┼──────────────────────╢
-║ T │ Truth                ║
-╚═══╧══════════════════════╝
+╔═══╤═════════╗
+║ H │ Humans  ║
+╟───┼─────────╢
+║ L │ Life    ║
+╟───┼─────────╢
+║ M │ Meaning ║
+╟───┼─────────╢
+║ F │ Fact    ║
+╟───┼─────────╢
+║ T │ Truth   ║
+╚═══╧═════════╝
 ```
 {% endtab %}
 {% endtabs %}
@@ -103,7 +102,7 @@ const dfd = require("danfojs")
 
 let data = [1, 2, 3, 4, 5, 6]
 let sf = new dfd.Series(data)
-sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
+sf.setIndex(["one", "two", "three", "four", "five", "six"], { inplace: true })
 sf.print()
 ```
 {% endtab %}
@@ -130,7 +129,6 @@ sf.print()
 ╟───────┼───╢
 ║ six   │ 6 ║
 ╚═══════╧═══╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.shape.md b/api-reference/series/series.shape.md
index 9eb5031..feb93b9 100644
--- a/api-reference/series/series.shape.md
+++ b/api-reference/series/series.shape.md
@@ -4,11 +4,11 @@ description: Obtain the shape of a Series
 
 # Series.shape
 
-> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
+> danfo.Series.shape
 
 **Parameters**: None
 
-**Returns**:  Array \[int, int\]
+**Returns**: Array \[int, int]
 
 **Example**
 
@@ -27,9 +27,8 @@ console.log(sf1.shape)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [ 4, 1 ]
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.sort_values.md b/api-reference/series/series.sort_values.md
index 5c7e5fa..8933511 100644
--- a/api-reference/series/series.sort_values.md
+++ b/api-reference/series/series.sort_values.md
@@ -2,17 +2,17 @@
 description: Sorts a Series in ascending or descending order
 ---
 
-# Series.sort_values
+# Series.sortValues
 
-> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
+> danfo.Series.sortValues(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
 
 | Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
 | ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
 | options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
 
-  **Return:** Series
+**Return:** Series
 
-### Sort values in a Series 
+### Sort values in a Series
 
 {% tabs %}
 {% tab title="Node" %}
@@ -21,7 +21,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
 let sf1 = new dfd.Series(data1)
-let sf2 = sf1.sort_values()
+let sf2 = sf1.sortValues()
 
 sf2.print()
 ```
@@ -54,7 +54,7 @@ sf2.print()
 {% endtab %}
 {% endtabs %}
 
-### Sort Series in-place
+### Sort Series inplace
 
 {% tabs %}
 {% tab title="Node" %}
@@ -92,7 +92,6 @@ sf1.print()
 ╟───┼────╢
 ║ 6 │ 89 ║
 ╚═══╧════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -106,7 +105,7 @@ const dfd = require("danfojs-node")
 
 let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
 let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "ascending": false, "inplace": true })
+sf1.sortValues({ "ascending": false, "inplace": true })
 
 sf1.print()
 ```
diff --git a/api-reference/series/series.std.md b/api-reference/series/series.std.md
index aa05018..13801e5 100644
--- a/api-reference/series/series.std.md
+++ b/api-reference/series/series.std.md
@@ -4,7 +4,7 @@ description: Obtain the standard deviation for a series
 
 # Series.std
 
-> danfo.Series.std()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)]
+> danfo.Series.std()&#x20;
 
 **Parameter:** None
 
@@ -33,5 +33,4 @@ console.log(sf1.std())
 {% endtab %}
 {% endtabs %}
 
-&#x20;****&#x20;
-
+\*\*\*\*
diff --git a/api-reference/series/series.str.split.md b/api-reference/series/series.str.split.md
index 006795d..57c1d2c 100644
--- a/api-reference/series/series.str.split.md
+++ b/api-reference/series/series.str.split.md
@@ -6,17 +6,13 @@ description: >-
 
 # Series.str.split
 
-> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
+> danfo.Series.str.**split**(splitVal, options)
 
 | Parameters | Type   | Description                                                | Default                         |
 | ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
 | splitVal   | String | separator or delimiter used to split the string            | " "                             |
 | options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
 
-**Returns**
-
-&#x20;                     return **Series**
-
 **Examples**
 
 Split the string value in the Series by space and obtain the Series values
@@ -38,7 +34,7 @@ console.log(sf.str.split().values)
 {% endtab %}
 {% endtabs %}
 
-**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
+**OUTPUT:** `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
 
 {% tabs %}
 {% tab title="JavaScript" %}
diff --git a/api-reference/series/series.sub.md b/api-reference/series/series.sub.md
index e281d06..8a367f6 100644
--- a/api-reference/series/series.sub.md
+++ b/api-reference/series/series.sub.md
@@ -4,7 +4,7 @@ description: Return Subtraction of series and other, element-wise (binary operat
 
 # Series.sub
 
-> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
+> danfo.Series.sub(other, options)&#x20;
 
 | Parameters | Type          | Description                                                                                    | Default                               |
 | ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
@@ -83,4 +83,3 @@ sf1.sub(2).print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.sum.md b/api-reference/series/series.sum.md
index fabcba7..2abfcaf 100644
--- a/api-reference/series/series.sum.md
+++ b/api-reference/series/series.sum.md
@@ -4,7 +4,7 @@ description: Return the sum of the values in a series.
 
 # Series.sum
 
-> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
+> danfo.Series.sum()&#x20;
 
 **Parameter:** None
 
@@ -33,4 +33,4 @@ console.log(sf1.sum())
 {% endtab %}
 {% endtabs %}
 
-****
+***
diff --git a/api-reference/series/series.tail.md b/api-reference/series/series.tail.md
index 7f986a1..88bb5f4 100644
--- a/api-reference/series/series.tail.md
+++ b/api-reference/series/series.tail.md
@@ -4,13 +4,13 @@ description: Prints the last n values in a Series
 
 # Series.tail
 
-> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
+> danfo.Series.tail(rows)&#x20;
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of last n values | 5 |
+| Parameters | Type | Description             | Default |
+| ---------- | ---- | ----------------------- | ------- |
+| rows       | Int  | number of last n values | 5       |
 
- **Return:** Series
+**Return:** Series
 
 **Example**
 
@@ -29,7 +29,7 @@ sf1.tail().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 ╔════╤══════════════════════╗
 ║    │ 0                    ║
 ╟────┼──────────────────────╢
@@ -46,4 +46,3 @@ sf1.tail().print()
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.tensor.md b/api-reference/series/series.tensor.md
index a5c112c..698f743 100644
--- a/api-reference/series/series.tensor.md
+++ b/api-reference/series/series.tensor.md
@@ -4,7 +4,7 @@ description: Obtain the tensor representation of the values in a Series
 
 # Series.tensor
 
-> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
+> danfo.Series.tensor&#x20;
 
 **Parameters**: None
 
@@ -27,7 +27,7 @@ console.log(sf1.tensor)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 Tensor {
   kept: false,
   isDisposedInternal: false,
@@ -43,4 +43,3 @@ Tensor {
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.unique.md b/api-reference/series/series.unique.md
index c89d187..e3128e1 100644
--- a/api-reference/series/series.unique.md
+++ b/api-reference/series/series.unique.md
@@ -4,7 +4,7 @@ description: Obtain the unique value in a Series
 
 # Series.unique
 
-> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
+> danfo.Series.**unique**()&#x20;
 
 **Parameters**: None
 
@@ -27,29 +27,26 @@ sf.unique().print()
 
 {% tabs %}
 {% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╟───┼──────────────────────╢
-║ 6 │ 7                    ║
-╟───┼──────────────────────╢
-║ 7 │ 8                    ║
-╟───┼──────────────────────╢
-║ 8 │ 22                   ║
-╚═══╧══════════════════════╝
+```
+╔═══╤════╗
+║ 0 │ 1  ║
+╟───┼────╢
+║ 1 │ 2  ║
+╟───┼────╢
+║ 2 │ 3  ║
+╟───┼────╢
+║ 3 │ 4  ║
+╟───┼────╢
+║ 4 │ 5  ║
+╟───┼────╢
+║ 5 │ 6  ║
+╟───┼────╢
+║ 6 │ 7  ║
+╟───┼────╢
+║ 7 │ 8  ║
+╟───┼────╢
+║ 8 │ 22 ║
+╚═══╧════╝
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.value_counts.md b/api-reference/series/series.value_counts.md
index 338064f..007fc15 100644
--- a/api-reference/series/series.value_counts.md
+++ b/api-reference/series/series.value_counts.md
@@ -2,9 +2,9 @@
 description: Count the number of occurrence for each element in a Series
 ---
 
-# Series.value\_counts
+# Series.valueCounts
 
-> danfo.Series.value\_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
+> danfo.Series.valueCounts()&#x20;
 
 **Parameters:** None
 
@@ -20,7 +20,7 @@ const dfd = require("danfojs-node")
 let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
 let sf = new dfd.Series(data1)
 
-sf.value_counts().print()
+sf.valueCounts().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -28,27 +28,25 @@ sf.value_counts().print()
 {% tabs %}
 {% tab title="Output" %}
 ```
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 1  │ 3                    ║
-╟────┼──────────────────────╢
-║ 2  │ 1                    ║
-╟────┼──────────────────────╢
-║ 3  │ 1                    ║
-╟────┼──────────────────────╢
-║ 4  │ 1                    ║
-╟────┼──────────────────────╢
-║ 5  │ 4                    ║
-╟────┼──────────────────────╢
-║ 6  │ 1                    ║
-╟────┼──────────────────────╢
-║ 7  │ 1                    ║
-╟────┼──────────────────────╢
-║ 8  │ 2                    ║
-╟────┼──────────────────────╢
-║ 22 │ 1                    ║
-╚════╧══════════════════════╝
+╔════╤═══╗
+║ 1  │ 3 ║
+╟────┼───╢
+║ 2  │ 1 ║
+╟────┼───╢
+║ 3  │ 1 ║
+╟────┼───╢
+║ 4  │ 1 ║
+╟────┼───╢
+║ 5  │ 4 ║
+╟────┼───╢
+║ 6  │ 1 ║
+╟────┼───╢
+║ 7  │ 1 ║
+╟────┼───╢
+║ 8  │ 2 ║
+╟────┼───╢
+║ 22 │ 1 ║
+╚════╧═══╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/series/series.values.md b/api-reference/series/series.values.md
index 4857487..e34e113 100644
--- a/api-reference/series/series.values.md
+++ b/api-reference/series/series.values.md
@@ -4,11 +4,11 @@ description: Obtain the values in a series
 
 # Series.values
 
-> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
+> danfo.Series.values&#x20;
 
 **Parameters:** None
 
-**Returns**:  Array
+**Returns**: Array
 
 **Example**
 
@@ -27,9 +27,8 @@ console.log(sf1.values)
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 [ 30.21091, 40.190901, 3.564, 5.0212 ]
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/api-reference/series/series.var.md b/api-reference/series/series.var.md
index 4fdcbc2..b28bf5a 100644
--- a/api-reference/series/series.var.md
+++ b/api-reference/series/series.var.md
@@ -4,7 +4,7 @@ description: Calculate the variance  of a Series
 
 # Series.var
 
-> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
+> danfo.Series.var()&#x20;
 
 **Parameter:** None
 
@@ -27,9 +27,8 @@ console.log(sf1.var())
 
 {% tabs %}
 {% tab title="Output" %}
-```text
+```
 968.25
 ```
 {% endtab %}
 {% endtabs %}
-
diff --git a/contributing-guide.md b/contributing-guide.md
index 4fedc98..60f4f4b 100644
--- a/contributing-guide.md
+++ b/contributing-guide.md
@@ -29,80 +29,67 @@ description: >-
 
 ## TL:DR
 
-All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.&#x20;
+All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome.
 
-For contributors familiar with open-source,  below is a quick guide to setting up danfojs locally. &#x20;
+For contributors familiar with open-source, below is a quick guide to setting up danfojs locally.
 
 ```
-git clone https://github.com/opensource9ja/danfojs.git
+git clone https://github.com/javascriptdata/danfojs.git
 cd danfojs
 git checkout -b <your-branch-name>
 ```
 
-There are two folders, **danfojs-browser** and **danfojs-node**. If you are contributing a new feature, then you should include it in both versions. If you are doing a bug fix for a single version, then open that folder and install packages.&#x20;
+There are three main folders in the `src` folder, **danfojs-base**, **danfojs-browser,** and **danfojs-node**.&#x20;
 
-For instance, if I want to do some bug fixes in danfojs-node. I can do the following:
-
-```
-cd danfojs-node 
-yarn ##install all packages 
-```
-
-Add my bug fixes and ensure test passes:
-
-```
-yarn test ## run test 
-```
+The **danfojs-base** folder holds all shared classes, modules, and functions used by both danfojs-browser and danfojs-node. So features or bug fixes that work the same way in both versions will generally be done in the **danfojs-base** folder.&#x20;
 
 ## Where to start?
 
-For first time contributors, you can find pending issues on the GitHub “issues” page. There are a number of issues listed and "good first issue" where you could start out. Once you’ve found an interesting issue, and have an improvement in mind, next thing is to set up your development environment.
+For first-time contributors, you can find pending issues on the GitHub “issues” page. There are a number of issues listed and "good first issue" where you could start out. Once you’ve found an interesting issue, and have an improvement in mind, next thing is to set up your development environment.
 
 ## Working with the code
 
-Now that you have an issue you want to fix, an enhancement to add, or documentation to improve, you need to learn how to work with GitHub and the danfojs code base.
+If you have an issue you want to fix, an enhancement to add, or documentation to improve, you need to learn how to work with GitHub and the Danfojs code base.
 
 ### **Version control, Git, and GitHub**
 
-The danfojs code is hosted on GitHub. To contribute you will need to sign up for a free GitHub account. We use Git for version control to allow many people to work together on this project.
+Danfojs code is hosted on GitHub. To contribute you will need to sign up for a free GitHub account. We use Git for version control to allow many people to work together on this project.
 
 Some great resources for learning Git:
 
 * Official [GitHub pages](http://help.github.com).
 
-### **Getting started with Git¶**
+### **Getting started with Git**
 
 Find [Instructions](http://help.github.com/set-up-git-redirect) for installing git, setting up your SSH key, and configuring git. These steps need to be completed before you can work seamlessly between your local repository and GitHub.
 
-## **Forking the danfojs repo**
+## **Forking the Danfojs repo**
 
 You will need your own fork to work on the code. Go to the danfojs [project page](https://github.com/opensource9ja/danfojs) and hit the Fork button.
 
 Next, you will clone your fork to your local machine:
 
 ```
-git clone https://github.com/opensource9ja/danfojs.git
+git clone https://github.com/javascriptdata/danfojs.git
 cd danfojs
 ```
 
 This creates the directory danfojs and connects your repository to the upstream (main project) repository.
 
-> **All development are done in two folders--**[**danfojs-browser**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-browser) **and** [**danfojs-node**](https://github.com/opensource9ja/danfojs/tree/master/danfojs-node) **folders. The two folders are similar and it is always recommended to pull latest changes from master before development in any of the folder.**&#x20;
+Some Javascript features are supported both in the browser and node environment, and it is recommended to add features in the **danfojs-base** folder.&#x20;
+
+For features that work differently or only in a specific environment, you can add them in the corresponding danfojs-node or danfojs-browser folder.&#x20;
 
-Some Javascript features are supported both in the browser and node environment, and it is recommended to add these to both versions.&#x20;
 
-For features that work only in NodeJs environment, especially file related issues, these should be developed and tested in the danfojs-node folder, and the corresponding tests are written there.  &#x20;
 
 ## **Creating a development environment**
 
 To test out code changes, you’ll need to build danfojs, which requires a Nodejs environment.
 
 ```python
-git clone https://github.com/opensource9ja/danfojs.git
+git clone https://github.com/javascriptdata/danfojs.git
 cd danfojs
-cd danfojs-browser && yarn ## installs required packages in browser version
-cd .. && cd danfojs-node && yarn ## installs required packages in node version
-cd .. ## Go back to root folder
+yarn install ## automatically installs all required packages
 yarn test ##Runs test in both node and browser folder
 ```
 
@@ -127,10 +114,9 @@ function add_series(series1, series2){
 
         return new Series()
 }
-
 ```
 
-And for functions that contain more than two argument, keyword argument should be used. Parsing of keyword argument is also applicable to most of the methods in a class
+And for functions that contain more than two arguments, a keyword argument can be used. Parsing of keyword argument is also applicable to most of the methods in a class
 
 ```javascript
 /**
@@ -151,9 +137,9 @@ function join_df(kwargs){
 
 ## **Writing tests**
 
-We strongly encourage contributors to write tests for their code. Like many packages, danfojs uses mocha
+We strongly encourage contributors to write tests for their code. Like many packages, Danfojs uses mocha.&#x20;
 
-All tests should go into the tests subdirectory and place in the corresponding module. The tests folder contains some current examples of tests, and we suggest looking to these for inspiration.
+All tests should go into the tests subdirectory and placed in the corresponding module. The tests folder contains some current examples of tests, and we suggest looking to these for inspiration.
 
 Below is the general Framework to write a test for each module.
 
@@ -236,16 +222,16 @@ describe("DataFrame", function(){
 
 To run the test for the module you created,
 
-**1)** Open the package.json&#x20;
+**1)** Open the package.json
 
-**2)** change the name of the test file to the file name you want. and don't forget the file is in the test folder
+**2)** change the name of the test script to the file name you want to test.
 
 ```python
 "scripts": {
     "test": "....... danfojs/tests/sub_directory_name/filename",
 ```
 
-**3)**  run the test, in the danfojs directory terminal
+**3)** run the test, in the danfojs directory terminal
 
 ```python
 yarn test
@@ -300,30 +286,7 @@ This request then goes to the repository maintainers, and they will review the c
 
 In other to contribute to the code base of danfojs, there are some functions and properties provided to make implementation easy.
 
-The main exposed modules are the **Frame** and **Series** module. This module inherits from the **Generic** module.
-
-The **Generic** module consists of the following methods and properties
-
-* `.dtypes`    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L213)] is used to obtain the dtype for each column
-* `.index` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L250)] to obtain the index for Dataframe or Series
-* `.__set_index(label)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L257)] to set the index value
-* `.__reset_index()`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L271)] to reset the index in DataFrame and Series
-* `.values`   Obtain the values in  DataFrame and Series per rows
-* `.col_data` Obtain the values in DataFrame and Series per columns
-* `.column_names`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)] Obtain the list of column names
-* `.__set_col_types` \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L165)] set the dtype for a column or infer the dtype from it
-* `.columns` to  access the column names directly
-* `row_data_tensor`  store the tensor representation of the data in DataFrame and Series
-
-The **Frame** module consists of the following methods and properties to aid implementation.
-
-* `__frame_is_compactible_for_operation`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1754)]:  check if all the values in a DataFrame are numerical. This helps to check if the numerical operation can be done using the dataframe.
-* `.__get_ops_tensors(tensors, axis)`   \[[source\]](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1767) : obtain tensors from dataframes along axis 0 or 1.
-* `.__get_df_from_tensor(val, col_names)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L1741)]:  Obtain dataframe from tensor.
-* `.__get_tensor_and_idx(df, axis)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/frame.js#L928)]:  Obtain tensors, their index value and their axis from dataframe.
+The folder **danfojs-base** contains the bulk of Danfojs modules, and these are simply extended or exported by the **danfojs-browser** and **danfojs-node** folders. The base class for Frames and Series is the NdFrame class which is found in the `danfojs-base/core/generic` file.&#x20;
 
-The **Series** module contains mostly Generic properties and less special internal properties.
 
-* `__check_series_op_compactibility(other)`  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L666)]  check if two series are compatible for numerical operation
 
-Lastly, the **Utils** module contains important utility functions.
diff --git a/examples/migrating-to-the-stable-version-of-danfo.js.md b/examples/migrating-to-the-stable-version-of-danfo.js.md
new file mode 100644
index 0000000..07c8206
--- /dev/null
+++ b/examples/migrating-to-the-stable-version-of-danfo.js.md
@@ -0,0 +1,92 @@
+---
+description: >-
+  This page contains migration guides and tips for pre-v1 users of Danfo.js who
+  want to migrate their projects to the latest stable release of Danfo.js.
+---
+
+# Migrating to the stable version of Danfo.js
+
+We recently released the first stable version of Danfo.js. See release note here. This new version improves previous versions, by standardizing the API. As such we now have better naming conventions, class structures, and error messages.
+
+The following list summarizes some of these updates:
+
+* **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increases the developer experience.&#x20;
+* **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.&#x20;
+* Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.&#x20;
+* **New features**: We added lots of new features which users have been requesting for. For example:
+  * Stream and process large CSV data
+  * Read JSON objects with key support
+  * Date time is now a first-class data type.
+* General bug fixes and improvements
+* Better error messages
+
+## Breaking Updates
+
+There are two major breaking changes in the new stable version.
+
+### Naming convention
+
+Update your function and/or method names to use camelCase instead of snake\_case. For example:
+
+```javascript
+read_csv ==> readCSV
+to_json ==> toCSV
+drop_duplicates ==> dropDuplicates
+```
+
+**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.&#x20;
+
+### Functions and Methods argument structure
+
+Another major breaking change of v1, is that the structure of arguments/parameters in most functions has been updated to be more intuitive.
+
+In general, it is important to understand our thought process behind this, so, here goes:
+
+Assuming we take the method called _**rename**_, which takes  required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
+
+```
+rename( { mapper, axis, inplace } ) => DataFrame
+```
+
+The structure above combines both required and optional arguments as a single object argument, which is less intuitive. A better method signature will/should take into account the required and optional arguments, as well as their position. Hence we need something like:
+
+```
+rename(mapper, options: {axis, inplace}) //where mapper is required, and options argument is optional. 
+```
+
+Re-designing functions and methods to follow this intuitive format is the bulk of the breaking change in this new version, as such, when migrating, you have to make these updates.&#x20;
+
+{% hint style="info" %}
+If using Typescript, then the TS compiler will help in migration, else, you have to manually identify and update your function/method signature.&#x20;
+{% endhint %}
+
+### Axis Order
+
+In this new version, we have flipped the result of the axis ordering for all operations. This ordering is now consistent with Pandas and Tensorflow.js. That is, the axis row (0), represents the operations carried out horizontally on a DataFrame, and the axis columns (1) represent operations carried out vertically down the DataFrame.
+
+{% hint style="info" %}
+In short, when migrating to the new version, you should flip the axis number so as to get the same result. That is, change all `axis: 0` to `axis: 1`, to get the same result.&#x20;
+{% endhint %}
+
+All examples in this doc have been updated to reflect this update.&#x20;
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index b9f9cca..9ee7073 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -13,7 +13,7 @@ In this tutorial, I will show you how to load and process the famous Titanic dat
 
 The main objective of this tutorial is to show you how to use danfo.js to load and process data easily in JavaScript, so we won't be doing anything too advanced. Also, I assumed that you're familiar with basic deep learning with Tensorflow.js and Pandas as well. If you do not have any background in ML, these are good resources to get started:
 
-* [Introduction to Machine Learning](https://developers.google.com/machine-learning/crash-course/ml-intro) 
+* [Introduction to Machine Learning](https://developers.google.com/machine-learning/crash-course/ml-intro)
 * [Deep Learning and Neural Networks](https://www.tensorflow.org/resources/learn-ml/basics-of-machine-learning)
 * [A Gentle Introduction to TensorFlow.js](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html)
 
@@ -41,19 +41,19 @@ When you're done, create a file called app.js and import the packages:
 
 ```javascript
 const dfd = require("danfojs-node")
-const tf = dfd.tf //Reference to the exported tensorflowjs library
+const tf = dfd.tensorflow //Reference to the exported tensorflowjs library
 ```
 
 ## Loading and processing your data
 
-To load a CSV dataset, you can use the [read_csv](../api-reference/input-output/danfo.read_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
+To load a CSV dataset, you can use the [readCSV](../api-reference/input-output/danfo.read\_csv.md) function. This can load a file from both a local path, as well as over the internet. In this tutorial, you'll load the titanic dataset from the internet.
 
 Below your import add the following lines of code:
 
 ```javascript
 async function load_process_data() {
 
-    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
+    let df = await dfd.redCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
 
 
@@ -61,8 +61,7 @@ async function load_process_data() {
 ```
 
 ```
- Shape: (5,8) 
-
+ 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ Survived          │ Pclass            │ Name              │ Sex               │ ...               │ Age               │ Siblings/Spou...  │ Parents/Child...  │ Fare              ║
 ╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
@@ -78,7 +77,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read_csv function.
+You wrote an async function because loading a dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
@@ -115,7 +114,7 @@ From the data types table above, you'll notice that there are two strong columns
 let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
 
 //replace in df
-df.addColumn({ column: "Name", values: title, inplace: true })
+df.addColumn("Name", title, { inplace: true })
 ```
 
 In the code above, you are calling the [apply](../api-reference/series/series.apply.md) function on the _**Name**_ column. The parameter to the [apply](../api-reference/series/series.apply.md) function is a function that gets called on each element of the column. This function can be any JavaScript function.
@@ -147,7 +146,7 @@ let cols = ["Sex", "Name"]
 cols.forEach(col => {
   encoder.fit(df[col])
   enc_val = encoder.transform(df[col])
-  df.addColumn({ column: col, values: enc_val, inplace: true })
+  df.addColumn( col, enc_val, { inplace: true })
 })
 
 df.head().print()
@@ -207,19 +206,19 @@ In the code cell above, first, you create an instance from the MinMaxScaler clas
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-The full code for the load_process_data function becomes:
+The full code for the load\_process\_data function becomes:
 
 ```javascript
 const dfd = require("danfojs-node")
 const tf = dfd.tf;
 
 async function load_process_data() {
-    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
+    let df = await dfd.readCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
 
     //A feature engineering: Extract all titles from names columns
     let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
     //replace in df
-    df.addColumn({ column: "Name", values: title, inplace: true })
+    df.addColumn("Name",  title, { inplace: true })
 
     //label Encode Name feature
     let encoder = new dfd.LabelEncoder()
@@ -227,14 +226,14 @@ async function load_process_data() {
     cols.forEach(col => {
         encoder.fit(df[col])
         enc_val = encoder.transform(df[col])
-        df.addColumn({ column: col, values: enc_val, inplace: true })
+        df.addColumn( col, enc_val, { inplace: true })
     })
 
 
-    let Xtrain,ytrain;
+    let Xtrain, ytrain;
     Xtrain = df.iloc({ columns: [`1:`] })
     ytrain = df['Survived']
-
+    
     // Standardize the data with MinMaxScaler
     let scaler = new dfd.MinMaxScaler()
     scaler.fit(Xtrain)
@@ -250,7 +249,7 @@ load_process_data()
 
 In this section, you'll build a simple classification model using tensorflow.js. If you're not familiar with Tensorflow.js, you can start [here](https://blog.tensorflow.org/2018/04/a-gentle-introduction-to-tensorflowjs.html).
 
-Create a simple function called get_model. This will construct and return a model when called.
+Create a simple function called get\_model. This will construct and return a model when called.
 
 ```javascript
 function get_model() {
@@ -297,23 +296,23 @@ async function train() {
 }
 ```
 
-This function calls the _**load_process_data**_ function to retrieve training data as tensors and also calls the _**get_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
+This function calls the _**load\_process\_data**_ function to retrieve training data as tensors and also calls the _**get\_model**_ to retrieve the model. Next, you compile the model by specifying an optimizer, a loss function and a metric to report.
 
 Next, you call the **fit** function on the model, by passing the training data and labels (tensors), specify batch size, epoch size, validation split size, and also a callback function to track training progress.
 
 The training progress is printed to the console at the end of each Epoch. Below is the full code from loading data to training your model:
 
 ```javascript
-const dfd = require("danfojs-node")
-const tf = dfd.tf;
+const dfd = require("danfojs-node-nightly")
+const tf = dfd.tensorflow
 
 async function load_process_data() {
-    let df = await dfd.read_csv("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
+    let df = await dfd.readCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
 
     //A feature engineering: Extract all titles from names columns
     let title = df['Name'].apply((x) => { return x.split(".")[0] }).values
     //replace in df
-    df.addColumn({ column: "Name", values: title, inplace: true })
+    df.addColumn("Name",  title, { inplace: true })
 
     //label Encode Name feature
     let encoder = new dfd.LabelEncoder()
@@ -321,11 +320,11 @@ async function load_process_data() {
     cols.forEach(col => {
         encoder.fit(df[col])
         enc_val = encoder.transform(df[col])
-        df.addColumn({ column: col, values: enc_val, inplace: true })
+        df.addColumn( col, enc_val, { inplace: true })
     })
 
 
-    let Xtrain,ytrain;
+    let Xtrain, ytrain;
     Xtrain = df.iloc({ columns: [`1:`] })
     ytrain = df['Survived']
 
@@ -333,7 +332,6 @@ async function load_process_data() {
     let scaler = new dfd.MinMaxScaler()
     scaler.fit(Xtrain)
     Xtrain = scaler.transform(Xtrain)
-
     return [Xtrain.tensor, ytrain.tensor] //return the data as tensors
 }
 
@@ -417,8 +415,8 @@ After 15 epochs, you reach an accuracy of about 83%. This can definitely be impr
 
 In this tutorial, you have seen how to use danfo.js with tensorflow.js to load and process data, as well as train a neural network. This is similar to the Pandas-Tensorflow packages in Python.
 
-You also notice that danfo.js provides similar API as Pandas and can easily be picked up by Python developers.
+You also notice that danfo.js provides a similar API as Pandas and can easily be picked up by Python developers.
 
 As an extra task, you can try to do more feature engineering using danfo.js and try to improve the accuracy of your model.
 
-Go danfo! 😎
+Go Danfo! 😎
diff --git a/examples/using-danfojs-in-react.md b/examples/using-danfojs-in-react.md
index 3f97b10..682a0d7 100644
--- a/examples/using-danfojs-in-react.md
+++ b/examples/using-danfojs-in-react.md
@@ -2,9 +2,9 @@
 
 **TL:DR** See Example react application using danfojs [here](https://github.com/opensource9ja/Data-aRT)
 
-Danfojs works for both browser and NodeJs environment, and as such is available to frontend frameworks like React and Vue.&#x20;
+Danfojs works for both browser and NodeJs environment, and as such is available to frontend frameworks like React and Vue.
 
-In order to use Danfojs in a library like React, you must install the [browser side version ](https://www.npmjs.com/package/danfojs)from npm.&#x20;
+In order to use Danfojs in a library like React, you must install the [browser side version ](https://www.npmjs.com/package/danfojs)from npm.
 
 ```bash
 npm install danfojs
@@ -18,14 +18,14 @@ Follow the steps here to bootstrap a React app, and in your App.js or any file w
 
 ```bash
 import "./App.css";
-import * as dfd from "danfojs/src/index";
+import * as dfd from "danfojs";
 ```
 
 Now you have access to all features under the `dfd` namespace. Below is a sample App.js file using danfojs:
 
 ```bash
 import "./App.css";
-import * as dfd from "danfojs/src/index";
+import * as dfd from "danfojs";
 
 function App() {
 
@@ -53,7 +53,6 @@ function App() {
 }
 
 export default App;
-
 ```
 
 On running the app, we get the following output in the console:
@@ -63,7 +62,7 @@ On running the app, we get the following output in the console:
 Note that you can also import specific modules. For instance, in the code below we import only the DataFrame module:
 
 ```bash
-import { DataFrame } from "danfojs/src/index";
+import { DataFrame } from "danfojs";
 ```
 
-Following these steps, you can use danfojs in any client-side library.&#x20;
+Following these steps, you can use danfojs in any client-side library.
diff --git a/getting-started.md b/getting-started.md
index 9388ab0..de8a123 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -6,6 +6,12 @@ description: >-
 
 # Getting Started
 
+{% hint style="info" %}
+A stable version of Danfojs (v1), has been released, and it comes with full Typescript support, new features, and many bug fixes. See release note [here](release-notes.md#latest-release-node-v1.0.0-browser-v1.0.0).&#x20;
+
+There are a couple of breaking changes, so we have prepared a short migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1.0.0 users.&#x20;
+{% endhint %}
+
 ## Installation
 
 There are three ways to install and use Danfo.js in your application
@@ -33,23 +39,26 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo)
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo) or the [VS-Code Nodejs notebook extension](https://marketplace.visualstudio.com/items?itemName=donjayamanne.typescript-notebook).&#x20;
 {% endhint %}
 
 ## 10 minutes to danfo.js
 
 This is a short introduction to Danfo.js, and its flow is adapted from the official [10 minutes to Pandas](https://pandas.pydata.org/pandas-docs/stable/user\_guide/10min.html#min)
 
-We will show you how to use danfo.js in both browser environments and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in both environments.
+We will show you how to use danfo.js in a browser, client-side libraries, and Node.js environments. Most functions except [plotting](https://jsdata.gitbook.io/danfojs/api-reference/plotting) which require a DOM work the same way in all environments.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
+
+//or using ES6
+import * as dfd from "danfojs-node"
 ```
 {% endtab %}
 
@@ -78,6 +87,15 @@ const dfd = require("danfojs-node")
 </html>
 ```
 {% endtab %}
+
+{% tab title="React" %}
+```jsx
+import * as dfd from "danfojs"
+
+//import specific methods/classes
+import { readCSV, DataFrame } from "danfojs"
+```
+{% endtab %}
 {% endtabs %}
 
 ### Creating a DataFrame/Series
@@ -87,6 +105,8 @@ You can create a [`Series`](https://pandas.pydata.org/pandas-docs/stable/referen
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
+import * as dfd from "danfojs-node"
+
 s = new dfd.Series([1, 3, 5, undefined, 6, 8])
 s.print()
 ```
@@ -144,7 +164,7 @@ Creating a [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
+const tf = dfd.tensorflow //Tensorflow.js is exportedfrom Danfojs
 
 
 let tensor_arr = tf.tensor([12,34,56,2])
@@ -169,7 +189,7 @@ s.print()
 <body>
 
     <script>
-        const tf = dfd.tf //get tensorflow lib from danfo
+        const tf = dfd.tensorflow //get tensorflow lib from danfo
         let tensor_arr = tf.tensor([12,34,56,2])
         let s = new dfd.Series(tensor_arr)
         s.print()
@@ -251,7 +271,7 @@ Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
+const tf = dfd.tensorflow //Tensorflow.js is exported from Danfojs
 
 
 let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
@@ -318,12 +338,12 @@ df.ctypes.print()
 Creating a [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html#pandas.DataFrame) by passing a dictionary of objects with the same length
 
 {% tabs %}
-{% tab title="Node" %}
+{% tab title="Nodejs" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+// Danfojs v1.0.0 and above
+dates = new dfd.dateRange({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
 
 console.log(dates);
 
@@ -355,7 +375,7 @@ df.print()
 
     <script>
 
-        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
+        dates = new dfd.dateRange({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
 
         console.log(dates);
 
@@ -514,22 +534,27 @@ Display the index, columns:
 {% tabs %}
 {% tab title="JavaScript" %}
 ```javascript
-const dfd = require("danfojs-node")
-
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-
-obj_data = {'A': dates,
-            'B': ["bval1", "bval2", "bval3", "bval4"],
-            'C': [10, 20, 30, 40],
-            'D': [1.2, 3.45, 60.1, 45],
-            'E': ["test", "train", "test", "train"]
-            }
-
-df = new dfd.DataFrame(obj_data)
-
-console.log(df.index);
-console.log(df.columns);
+const dfd = require('danfojs-node')
+
+let dates = new dfd.dateRange({
+    start: "2017-01-01",
+    end: "2020-01-01",
+    period: 4,
+    freq: "Y",
+  });
+
+  let obj_data = {
+    A: dates,
+    B: ["bval1", "bval2", "bval3", "bval4"],
+    C: [10, 20, 30, 40],
+    D: [1.2, 3.45, 60.1, 45],
+    E: ["test", "train", "test", "train"],
+  };
+
+  let df = new dfd.DataFrame(obj_data);
+  df.print();
+  console.log(df.index);
+  console.log(df.columns);
 ```
 {% endtab %}
 
@@ -549,21 +574,25 @@ console.log(df.columns);
 
     <script>
 
-       dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-
-        obj_data = {'A': dates,
-                    'B': ["bval1", "bval2", "bval3", "bval4"],
-                    'C': [10, 20, 30, 40],
-                    'D': [1.2, 3.45, 60.1, 45],
-                    'E': ["test", "train", "test", "train"]
-                    }
-
-        df = new dfd.DataFrame(obj_data)
-
-        console.log(df.index);
-        console.log(df.columns);
-
+      let dates = new dfd.dateRange({
+        start: "2017-01-01",
+        end: "2020-01-01",
+        period: 4,
+        freq: "Y",
+      });
+
+      let obj_data = {
+        A: dates,
+        B: ["bval1", "bval2", "bval3", "bval4"],
+        C: [10, 20, 30, 40],
+        D: [1.2, 3.45, 60.1, 45],
+        E: ["test", "train", "test", "train"],
+      };
+
+      let df = new dfd.DataFrame(obj_data);
+      df.print();
+      console.log(df.index);
+      console.log(df.columns)
     </script>
 </body>
 
@@ -574,6 +603,19 @@ console.log(df.columns);
 
 ```
 //output
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 │ E                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1/1/2017, 1:00:…  │ bval1             │ 10                │ 1.2               │ test              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 1/1/2018, 1:00:…  │ bval2             │ 20                │ 3.45              │ train             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 1/1/2019, 1:00:…  │ bval3             │ 30                │ 60.1              │ test              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 1/1/2020, 1:00:…  │ bval4             │ 40                │ 45                │ train             ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 [ 0, 1, 2, 3 ]
 [ 'A', 'B', 'C', 'D', 'E' ]
 ```
@@ -588,12 +630,12 @@ For `df`, our [`DataFrame`](https://pandas.pydata.org/pandas-docs/stable/referen
 const dfd = require("danfojs-node")
 
 
-json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+j son_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
 { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
 { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
 { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
 
-df = new dfd.DataFrame(json_data)
+let  df = new dfd.DataFrame(json_data)
 
 console.log(df.tensor);
 //or
@@ -670,12 +712,12 @@ Tensor
 const dfd = require("danfojs-node")
 
 
-json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
+let json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
 { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
 { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
 { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
 
-df = new dfd.DataFrame(json_data)
+let df = new dfd.DataFrame(json_data)
 
 df.describe().print()
 ```
@@ -749,7 +791,7 @@ let data = {"A": [-20, 30, 47.3, NaN],
 
 
 let df = new dfd.DataFrame(data)
-df.sort_values({by: "C", inplace: true})
+df.sortValues("C", {inplace: true})
 df.print()
 ```
 {% endtab %}
@@ -776,7 +818,7 @@ df.print()
 
 
         let df = new dfd.DataFrame(data)
-        df.sort_values({by: "C", inplace: true})
+        df.sortValues("C", {inplace: true})
         df.print()
 
     </script>
@@ -1175,83 +1217,7 @@ sub_df.print()
 
 #### Boolean Querying/Filtering
 
-Using a single column’s values to select data.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print() //before query
-
-let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
-query_df.print() //after query
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-
-       let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-        let cols = ["A", "B", "C"]
-
-        let df = new dfd.DataFrame(data, { columns: cols })
-        df.print() //before query
-
-        let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
-        query_df.print() //after query
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```
-//before query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 4                 │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-The best way to query data is to use a boolean mask just as we demonstrated above with iloc and locs. For example, in the following code, we pass a condition parameter instead:
+The best way to query data is to use a boolean mask just as we demonstrated above with iloc and loc. For example, in the following code, we use a condition parameter to query the DataFrame:
 
 ```javascript
 let data = {
@@ -1261,7 +1227,7 @@ let data = {
 }
 let df = new dfd.DataFrame(data)
 
-let query_df = df.query({ condition: df["B"].gt(5) })
+let query_df = df.query(df["B"].gt(5))
 query_df.print()
 ```
 
@@ -1283,10 +1249,7 @@ let data = {
     "B": [34, 4, 5, 6],
     "C": [20, 20, 30, 40]
 }
-let query_df = df.query({
-    condition:
-        df["B"].gt(5).and(df["C"].lt(30))
-})
+let query_df = df.query( df["B"].gt(5).and(df["C"].lt(0)))
 query_df.print() //after query
 
 //output
@@ -1295,7 +1258,6 @@ query_df.print() //after query
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 0          │ Ng                │ 34                │ 20                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 #### Adding a new column
@@ -1315,7 +1277,7 @@ let df = new dfd.DataFrame(data)
 df.print()
 
 let new_col = [1, 2, 3, 4]
-df.addColumn({ column: "D", values: new_col, inplace: true }); //happens inplace
+df.addColumn("D", new_col, { inplace: true }); //happens inplace
 
 df.print()
 ```
@@ -1390,9 +1352,9 @@ df.print()
 
 ### Missing data
 
-**NaN** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js.
+**NaN, null,** and **undefined** represent missing data in Danfo.js. These values can be dropped or filled using some functions available in Danfo.js.
 
-To drop any rows that have missing data:
+To drop any columns that have missing data:
 
 {% tabs %}
 {% tab title="Node" %}
@@ -1405,7 +1367,7 @@ let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(0)
+let df_drop = df.dropNa({ axis: 0 })
 df_drop.print()
 ```
 {% endtab %}
@@ -1433,7 +1395,7 @@ df_drop.print()
 
         df.print()
 
-        let df_drop = df.dropna({axis: 0})
+        let df_drop = df.dropNa({axis: 0})
         df_drop.print()
 
     </script>
@@ -1459,28 +1421,32 @@ df_drop.print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
-//after droppping
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 20                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+//after dropping
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ 5                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ 30                │ 40                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╝
 ```
 
-To drop any columns with have missing data, set the axis to 1:
+To drop row(s) with have missing data, set the axis to 1:
 
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = [[1, 2, 3], [NaN, 5, 6], [20, NaN, 40], [39, 34, 78]]
+let data = [[1, 2, 3], [NaN, 5, 6], [20, 30, 40], [39, 34, 78]]
 let cols = ["A", "B", "C"]
 let df = new dfd.DataFrame(data, { columns: cols })
 
 df.print()
 
-let df_drop = df.dropna(1)
+let df_drop = df.dropNa({ axis: 1 })
 df_drop.print()
 ```
 
@@ -1493,25 +1459,21 @@ df_drop.print()
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 1          │ NaN               │ 5                 │ 6                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ NaN               │ 40                ║
+║ 2          │ 20                │ 30               │ 40                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 39                │ 34                │ 78                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
-//after droppping
+//after dropping
 
-╔════════════╤═══════════════════╗
-║            │ C                 ║
-╟────────────┼───────────────────╢
-║ 0          │ 3                 ║
-╟────────────┼───────────────────╢
-║ 1          │ 6                 ║
-╟────────────┼───────────────────╢
-║ 2          │ 40                ║
-╟────────────┼───────────────────╢
-║ 3          │ 78                ║
-╚════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 2                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ 39                │ 20                │ 78                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Filling missing data:
@@ -1527,7 +1489,7 @@ let data = {
   }
 
 let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
+let df_filled = df.fillNa("Apples")
 
 df_filled.print()
 ```
@@ -1560,7 +1522,7 @@ let data = {
 let df = new dfd.DataFrame(data)
 df.print()
 
-let df_filled = df.fillna(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
+let df_filled = df.fillNa(["Apples", df["Count"].mean()], { columns: ["Name", "Count"] })
 df_filled.print()
 ```
 
@@ -1588,7 +1550,7 @@ let data = {"Name":["Apples", "Mango", "Banana", undefined],
             "Price": [200, 300, 40, 250]}
 
 let df = new dfd.DataFrame(data)
-df.isna().print()
+df.isNa().print()
 ```
 
 ```
@@ -1624,7 +1586,7 @@ cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
 df.print()
-df.mean().print() //defaults to column axis
+df.mean().print() //defaults to column (1) axis
 ```
 {% endtab %}
 
@@ -1673,15 +1635,15 @@ df.mean().print() //defaults to column axis
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 4                    ║
-╟───┼──────────────────────╢
-║ B │ 38.5                 ║
-╟───┼──────────────────────╢
-║ C │ 31.75                ║
-╚═══╧══════════════════════╝
+╔═══╤════════════════════╗
+║ 0 │ 11.333333333333334 ║
+╟───┼────────────────────╢
+║ 1 │ 7.333333333333333  ║
+╟───┼────────────────────╢
+║ 2 │ 24                 ║
+╟───┼────────────────────╢
+║ 3 │ 56.333333333333336 ║
+╚═══╧════════════════════╝
 ```
 
 Same operation on the row axis:
@@ -1695,7 +1657,7 @@ cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data)
 df.print()
-df.mean(0).print() //row axis=0, column=1
+df.mean({ axis: 0 }).print() //row axis=0, column=1
 ```
 
 ```
@@ -1711,20 +1673,16 @@ df.mean(0).print() //row axis=0, column=1
 ║ 3 │ 2                 │ 89                │ 78                ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11.333333015441895   ║
-╟───┼──────────────────────╢
-║ 1 │ 7.333333492279053    ║
-╟───┼──────────────────────╢
-║ 2 │ 24                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56.33333206176758    ║
-╚═══╧══════════════════════╝
+╔═══╤═══════╗
+║ A │ 4     ║
+╟───┼───────╢
+║ B │ 38.5  ║
+╟───┼───────╢
+║ C │ 31.75 ║
+╚═══╧═══════╝
 ```
 
-Operations on objects with different dimensionality and need alignment. danfo automatically broadcasts along the specified dimension.
+Operations on objects with different dimensionality and need alignment. Danfo automatically broadcasts along the specified dimension.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1755,7 +1713,7 @@ df_new.print()
 
 #### Apply
 
-Applying functions to the data along specified axis. If axis = 1 (default), then the specified function (`callable)` will be called with each column data, and vice versa:
+Applying functions to the data along a specified axis. If axis = 1 (default), then the specified function (`callable)` will be called with each row data, and vice versa:
 
 ```javascript
 const dfd = require("danfojs")
@@ -1790,17 +1748,19 @@ df_new.print()
 //after applying
 
 ╔═══╤═════╗
-║ A │ 64  ║
+║ 0 │ 6   ║
 ╟───┼─────╢
-║ B │ 126 ║
+║ 1 │ 15  ║
 ╟───┼─────╢
-║ C │ 127 ║
+║ 2 │ 90  ║
+╟───┼─────╢
+║ 3 │ 206 ║
 ╚═══╧═════╝
 ```
 
 Applying Element wise operations to the data:
 
-You can use the `apply_map` function if you need to apply a function to each element in the DataFrame. `apply_map` works element-wise.
+You can use the `applyMap` function if you need to apply a function to each element in the DataFrame. `applyMap` works element-wise.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -1813,7 +1773,7 @@ function sum_vals(x) {
     return x + 10
 }
 
-let df_new = df.apply_map(sum_vals)
+let df_new = df.applyMap(sum_vals)
 df_new.print()
 ```
 
@@ -1832,7 +1792,7 @@ df_new.print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 
 
- //after apply_map
+ //after applyMap
 
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
@@ -1854,8 +1814,8 @@ Series is equipped with a set of string processing methods in the **str** attrib
 ```javascript
 const dfd = require("danfojs-node")
 
-s = new dfd.Series(['A', 'B', 'C', 'Aaba', 'Baca', 'CABA', 'dog', 'cat'])
-lower_s = s.str.toLowerCase()
+let s = new dfd.Series(['A', 'B', 'C', 'Aaba', 'Baca', 'CABA', 'dog', 'cat'])
+let lower_s = s.str.toLowerCase()
 lower_s.print()
 ```
 
@@ -1908,22 +1868,23 @@ let df1 = new dfd.DataFrame(data, { columns: colum1 })
 let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 
 
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 }) //along column axis
+let com_df = dfd.concat({ dfList: [df1, df2], axis: 1 }) //along column axis
 com_df.print()
 ```
 
 ```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Key1              │ Key2              │ A                 │ B                 │ Key11             │ Key21             │ A1                │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ K0                │ k0                │ A0                │ B0                │ K0                │ k0                │ C0                │ D0                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ k0                │ K1                │ A1                │ B1                │ K1                │ K0                │ C1                │ D1                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ K1                │ K0                │ A2                │ B2                │ K1                │ K0                │ C2                │ D2                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ K2                │ K2                │ A3                │ B3                │ K2                │ K0                │ C3                │ D3                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 Concatenate along row axis (0).
@@ -1945,7 +1906,7 @@ let df1 = new dfd.DataFrame(data, { columns: colum1 })
 let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 
 
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 }) //along row axis
+let com_df = dfd.concat({ dfList: [df1, df2], axis: 0 }) //along row axis
 com_df.print()
 ```
 
@@ -1992,7 +1953,7 @@ let df2 = new dfd.DataFrame(data2, { columns: colum2 })
 df1.print()
 df2.print()
 
-let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
+let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"], how: "inner" })
 merge_df.print()
 ```
 
@@ -2108,19 +2069,17 @@ Grouping and then applying the[`sum()`](api-reference/groupby/groupby.sum.md) fu
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
+let data = {
+  A: ["foo", "bar", "foo", "bar", "foo", "bar", "foo", "foo"],
+  B: ["one", "one", "two", "three", "two", "two", "one", "three"],
+  C: [1, 3, 2, 4, 5, 2, 6, 7],
+  D: [3, 2, 4, 1, 5, 6, 7, 8],
+};
 
+let df = new dfd.DataFrame(data);
 
-let grp = df.groupby(["A"])
-grp.col(["C"]).sum().print()
+let grp = df.groupby(["A"]);
+grp.col(["C"]).sum().print();
 ```
 
 ```
@@ -2178,12 +2137,12 @@ danfo provides a simple but powerful, and efficient functionality for working wi
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
+let data = new dfd.dateRange({"start":'2018-01', freq:'M', period:3})
 let sf = new dfd.Series(data)
 //print series
 sf.print()
 //print month names
-sf.dt.month_name().print()
+sf.dt.monthName().print()
 ```
 
 ```
@@ -2197,15 +2156,13 @@ sf.dt.month_name().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Jan                  ║
-╟───┼──────────────────────╢
-║ 1 │ Feb                  ║
-╟───┼──────────────────────╢
-║ 2 │ Mar                  ║
-╚═══╧══════════════════════╝
+╔═══╤══════════╗
+║ 0 │ January  ║
+╟───┼──────────╢
+║ 1 │ February ║
+╟───┼──────────╢
+║ 2 │ March    ║
+╚═══╧══════════╝
 ```
 
 More Examples:
@@ -2213,12 +2170,12 @@ More Examples:
 ```javascript
 const dfd = require("danfojs-node")
 
-let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
+let data = new dfd.dateRange({"start":'2018-01', freq:'M', period:3})
 let sf = new dfd.Series(data)
 //print series
 sf.print()
-//print month names
-sf.dt.weekdays().print()
+//print week day names
+sf.dt.dayOfWeekName().print()
 ```
 
 ```
@@ -2232,24 +2189,32 @@ sf.dt.weekdays().print()
 ║ 2 │ 3/1/2018, 1:00:00 AM ║
 ╚═══╧══════════════════════╝
 
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Mon                  ║
-╟───┼──────────────────────╢
-║ 1 │ Thu                  ║
-╟───┼──────────────────────╢
-║ 2 │ Thu                  ║
-╚═══╧════════════════════
+╔═══╤══════════╗
+║ 0 │ Monday   ║
+╟───┼──────────╢
+║ 1 │ Thursday ║
+╟───┼──────────╢
+║ 2 │ Thursday ║
+╚═══╧══════════╝
 ```
 
 ### Plotting
 
 See the [Plotting](api-reference/plotting/) docs.
 
-We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting. This gives you the ability to make interactive plots from DataFrame and Series. Plotting only works in the browser version of danfo.js, and requires an HTML div to show plots.
+We currently support [Plotly.js](https://plotly.com/javascript/) for plotting. In the future, we plan other JS plotting libraries like Vega, D3.&#x20;
+
+Using the `plot` API, you can make interactive plots from DataFrame and Series. Plotting only works in the browser/client-side version of Danfo.js, and requires an HTML div to display plots.
+
+{% tabs %}
+{% tab title="Browser" %}
+
+{% endtab %}
+
+{% tab title="Second Tab" %}
 
-**Update**: As of `v0.2.3`, we stopped bundling Danfojs with Plotly. This has greatly reduced bundle size by about 80%. See more details in the release notes here. In order to make Plots, you must explicitly add the Plotly CDN to your file as we show in the updated examples:
+{% endtab %}
+{% endtabs %}
 
 ```markup
 <!DOCTYPE html>
@@ -2258,7 +2223,6 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
      <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
@@ -2268,25 +2232,30 @@ We use [Plotly.js](https://plotly.com/javascript/) as our backend for plotting.
     <div id="plot_div"></div>
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                var layout = {
-                    title: 'A financial charts',
-                    xaxis: {
-                        title: 'Date',
-                    },
-                    yaxis: {
-                        title: 'Count',
-                    }
-                }
-
-                new_df = df.set_index({ column: "Date" })
-                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
+          dfd.readCSV(
+          "https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv"
+        )
+        .then((df) => {
+          let layout = {
+            title: "A financial charts",
+            xaxis: {
+              title: "Date",
+            },
+            yaxis: {
+              title: "Count",
+            },
+          };
+
+          let config = {
+            columns: ["AAPL.Open", "AAPL.High"],
+          };
+
+          let new_df = df.setIndex({ column: "Date" });
+          new_df.plot("plot_div").line({ config, layout });
+        })
+        .catch((err) => {
+          console.log(err);
+        });
 
     </script>
 </body>
@@ -2333,7 +2302,11 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 [Writing to a CSV file.](api-reference/dataframe/dataframe.to\_csv.md)
 
-Convert any DataFrame to csv format. If a file path is specified, then the CSV is saved to the path, else it is returned as a string.
+Convert any DataFrame to csv format.&#x20;
+
+In NodeJs, if a file path is specified, then the CSV is saved to the path, else it is returned as a string.
+
+In the browser, you can automatically download the file as CSV by setting the `download` paramater to `true`.
 
 ```javascript
 const dfd = require("danfojs-node")
@@ -2346,7 +2319,7 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.to_csv()
+const csv = df.toCSV()
 console.log(csv);
 //output
 Abs,Count,country code
@@ -2355,11 +2328,10 @@ Abs,Count,country code
 47.3,5,GH
 
 
-df.to_csv({filePath: "testOut.csv" }) //writes to file in Nodejs
-
+df.toCSV({filePath: "testOut.csv" }) //writes to file system in Nodejs
 
-df.to_csv({fileName: "testOut", download: true }) //downloads the file in browser version
 
+df.toCSV({fileName: "testOut", download: true }) //downloads the file in browser version
 ```
 
 ```
@@ -2371,14 +2343,14 @@ Abs,Count,country code
 
 [Reading from a CSV file.](https://pandas.pydata.org/pandas-docs/stable/user\_guide/io.html#io-read-csv-table)
 
-The **read\_csv** method can read CSV file from local disk, or over the internet. If the file is to be read from a local disk in Node environment, you have to prefix the full path name with a "**file://**" prefix. For instance, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
+The **readCSV** method can read CSV files from local disk, or over the internet. Both full and relative paths are supported. For example, to read a CSV file at the path **/home/Desktop/titanic.csv**, you can do the following:
 
 {% tabs %}
 {% tab title="JavaScript" %}
 ```javascript
 const dfd = require("danfojs")
 
-dfd.read_csv("file:///home/Desktop/titanic.csv")
+dfd.readCSV("/home/Desktop/titanic.csv")
   .then(df => {
 
    //do something with the CSV file
@@ -2440,7 +2412,7 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.to_json()
+const json = df.toJSON()
 console.log(json);
 //output
 [
@@ -2450,7 +2422,7 @@ console.log(json);
 ]
 
 
-const json = df.to_json({format: "row"})
+const json = df.toJSON({format: "row"})
 console.log(json);
 //output
 {
diff --git a/release-notes.md b/release-notes.md
index 36ef577..6bfac22 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,30 @@
 # Release Notes
 
-### \[LATEST] Release Node (v0.3.3), Browser (0.3.3)
+### \[LATEST] Release Node (v1.0.0), Browser (v1.0.0)
+
+**Date:** 12th Jan 2022
+
+Major breaking update. See the migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1 users.
+
+**New Features**
+
+* Full Typescript support
+* streamCsvTransforme ==> Pipable stream transformer for incrementally transforming DataFrames
+* streamJSON ==> Supports streaming of local or remote JSON files into DataFrame.
+* streamCSV ==> Supports streaming of local or remote CSV files into DataFrame.
+* openCsvInputStream ==> Open a local/remote CSV file as a readable stream
+* writeCsvOutputStream ==> Open a local/remote CSV file as a writable stream
+* [https://github.com/javascriptdata/danfojs/issues/325](https://github.com/javascriptdata/danfojs/issues/325)
+* [https://github.com/javascriptdata/danfojs/issues/296](https://github.com/javascriptdata/danfojs/issues/296)
+
+**Bug Fixes**
+
+* [https://github.com/javascriptdata/danfojs/issues/335](https://github.com/javascriptdata/danfojs/issues/335)
+* [https://github.com/javascriptdata/danfojs/issues/338](https://github.com/javascriptdata/danfojs/issues/338)
+
+Contributors [@risenW](https://github.com/risenW) [@steveoni](https://github.com/steveoni)
+
+### Release Node (v0.3.3), Browser (0.3.3)
 
 **Date:** 10th Oct 2021
 
@@ -161,13 +185,13 @@ model.summary();
 
 We added/updated the following features:
 
-* [Read JSON](api-reference/input-output/danfo.read_json.md) files from local and remote URL into DataFrame (New feature)
-* [Read Excel](api-reference/input-output/danfo.read_excel.md) files from local or remote URL into DataFrame (New feature)
+* [Read JSON](api-reference/input-output/danfo.read\_json.md) files from local and remote URL into DataFrame (New feature)
+* [Read Excel](api-reference/input-output/danfo.read\_excel.md) files from local or remote URL into DataFrame (New feature)
 * Fix string comparison bug in [query](api-reference/dataframe/danfo.dataframe.query.md) function (Fix)
 * Add append function for [DataFrame](api-reference/dataframe/dataframe.append.md) and [Series](api-reference/series/series.append.md) (New feature)
 * Fix null value bug when creating DataFrame from JSON files (Fix)
 * Add relative import for reading files into DataFrame
-* Add [sort_index](api-reference/dataframe/dataframe.sort_index.md) function to DataFrame and Series (New feature)
+* Add [sort\_index](api-reference/dataframe/dataframe.sort\_index.md) function to DataFrame and Series (New feature)
 * Minor patch and overall optimizations (Fix)
 
 **Contributors**: [Rising Odegua](https://github.com/risenW), [Stephen Oni](https://github.com/steveoni), [Jhenner Tigreros](https://github.com/JhennerTigreros), [Aditya Zope](https://github.com/adzo261)

From 153a1f77f45ac94336489b44be0330fae4c177ae Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Jan 2022 16:26:46 +0100
Subject: [PATCH 161/202] clean up doc

---
 api-reference-v1-stable/README.md             |  54 ---
 .../configuration-options.md                  | 128 -----
 api-reference-v1-stable/dataframe/README.md   | 145 ------
 .../dataframe/creating-a-dataframe.md         | 355 --------------
 .../dataframe/danfo.dataframe.abs.md          |  74 ---
 .../dataframe/danfo.dataframe.add.md          | 246 ----------
 .../dataframe/danfo.dataframe.addcolumn.md    | 118 -----
 .../dataframe/danfo.dataframe.apply.md        | 106 ----
 .../dataframe/danfo.dataframe.column.md       |  72 ---
 .../dataframe/danfo.dataframe.copy.md         |  53 --
 .../dataframe/danfo.dataframe.count.md        | 100 ----
 .../dataframe/danfo.dataframe.cummax.md       |  99 ----
 .../dataframe/danfo.dataframe.cummin.md       |  99 ----
 .../dataframe/danfo.dataframe.cumprod.md      |  99 ----
 .../dataframe/danfo.dataframe.cumsum.md       |  99 ----
 .../dataframe/danfo.dataframe.describe.md     |  61 ---
 .../dataframe/danfo.dataframe.div.md          | 254 ----------
 .../dataframe/danfo.dataframe.dropna.md       |  96 ----
 .../dataframe/danfo.dataframe.eq.md           | 190 --------
 .../dataframe/danfo.dataframe.fillna.md       | 178 -------
 .../dataframe/danfo.dataframe.ge.md           | 195 --------
 .../dataframe/danfo.dataframe.groupby.md      | 148 ------
 .../dataframe/danfo.dataframe.gt.md           | 191 --------
 .../dataframe/danfo.dataframe.head.md         |  53 --
 .../dataframe/danfo.dataframe.iloc.md         | 331 -------------
 .../dataframe/danfo.dataframe.isna.md         |  54 ---
 .../dataframe/danfo.dataframe.it.md           | 194 --------
 .../dataframe/danfo.dataframe.le.md           | 194 --------
 .../dataframe/danfo.dataframe.loc.md          | 367 --------------
 .../dataframe/danfo.dataframe.max.md          | 118 -----
 .../dataframe/danfo.dataframe.mean.md         | 120 -----
 .../dataframe/danfo.dataframe.median.md       | 120 -----
 .../dataframe/danfo.dataframe.min.md          | 120 -----
 .../dataframe/danfo.dataframe.mod.md          | 258 ----------
 .../dataframe/danfo.dataframe.mul.md          | 252 ----------
 .../dataframe/danfo.dataframe.ne.md           | 187 --------
 .../dataframe/danfo.dataframe.pow.md          | 260 ----------
 .../dataframe/danfo.dataframe.query.md        | 278 -----------
 .../dataframe/danfo.dataframe.replace.md      | 102 ----
 .../dataframe/danfo.dataframe.round.md        | 128 -----
 .../dataframe/danfo.dataframe.sample.md       | 112 -----
 .../dataframe/danfo.dataframe.std.md          |  94 ----
 .../dataframe/danfo.dataframe.sub.md          | 250 ----------
 .../dataframe/danfo.dataframe.sum.md          | 121 -----
 .../dataframe/danfo.dataframe.tail.md         |  53 --
 .../dataframe/danfo.dataframe.var.md          |  94 ----
 .../dataframe/dataframe.append.md             |  76 ---
 .../dataframe/dataframe.apply_map.md          |  68 ---
 .../dataframe/dataframe.astype.md             | 222 ---------
 .../dataframe/dataframe.axes.md               |  47 --
 .../dataframe/dataframe.drop.md               | 143 ------
 .../dataframe/dataframe.dtypes.md             | 100 ----
 .../dataframe/dataframe.index.md              |  69 ---
 .../dataframe/dataframe.ndim.md               |  46 --
 .../dataframe/dataframe.nunique-1.md          |  98 ----
 .../dataframe/dataframe.print.md              | 105 ----
 .../dataframe/dataframe.rename.md             | 148 ------
 .../dataframe/dataframe.reset_index.md        |  73 ---
 .../dataframe/dataframe.select_dtypes.md      |  94 ----
 .../dataframe/dataframe.set_index.md          | 176 -------
 .../dataframe/dataframe.shape.md              |  43 --
 .../dataframe/dataframe.sort_index.md         |  74 ---
 .../dataframe/dataframe.sort_values.md        |  99 ----
 .../dataframe/dataframe.tensor.md             | 110 -----
 .../dataframe/dataframe.to_csv.md             | 114 -----
 .../dataframe/dataframe.to_excel.md           |  53 --
 .../dataframe/dataframe.to_json.md            | 127 -----
 .../dataframe/dataframe.values.md             |  50 --
 .../general-functions/README.md               |  27 --
 .../general-functions/danfo.concat.md         | 187 --------
 .../general-functions/danfo.date_range.md     | 111 -----
 .../general-functions/danfo.get_dummies.md    | 188 --------
 .../general-functions/danfo.labelencoder.md   | 140 ------
 .../general-functions/danfo.merge.md          | 453 ------------------
 .../general-functions/danfo.minmaxscaler.md   | 125 -----
 .../general-functions/danfo.onehotencoder.md  | 148 ------
 .../general-functions/danfo.standardscaler.md | 132 -----
 .../general-functions/danfo.to_datetime.md    | 141 ------
 api-reference-v1-stable/groupby.md            | 122 -----
 api-reference-v1-stable/groupby/README.md     |  34 --
 .../groupby/groupby.agg.md                    |  93 ----
 .../groupby/groupby.apply.md                  |  84 ----
 .../groupby/groupby.col.md                    | 105 ----
 .../groupby/groupby.count.md                  | 175 -------
 .../groupby/groupby.cummax.md                 | 258 ----------
 .../groupby/groupby.cummin.md                 | 258 ----------
 .../groupby/groupby.cumprod.md                | 258 ----------
 .../groupby/groupby.cumsum.md                 | 259 ----------
 .../groupby/groupby.get_groups.md             | 129 -----
 .../groupby/groupby.max.md                    | 170 -------
 .../groupby/groupby.mean.md                   | 173 -------
 .../groupby/groupby.min.md                    | 171 -------
 .../groupby/groupby.std.md                    | 175 -------
 .../groupby/groupby.sum.md                    | 172 -------
 .../groupby/groupby.var.md                    | 175 -------
 .../input-output/README.md                    |  18 -
 .../input-output/danfo.read_csv.md            | 134 ------
 .../input-output/danfo.read_excel.md          |  68 ---
 .../input-output/danfo.read_json.md           | 127 -----
 .../input-output/danfo.to_csv.md              | 115 -----
 .../input-output/danfo.to_excel.md            |  54 ---
 .../input-output/danfo.to_json.md             | 124 -----
 api-reference-v1-stable/input-output/read.md  | 138 ------
 api-reference-v1-stable/plotting/README.md    |  19 -
 .../plotting/bar-charts.md                    |  75 ---
 api-reference-v1-stable/plotting/box-plots.md | 116 -----
 .../plotting/configuring-your-plots.md        |  68 ---
 .../plotting/histograms.md                    | 117 -----
 .../plotting/line-charts.md                   | 109 -----
 .../plotting/pie-charts.md                    | 123 -----
 .../plotting/scatter-plots.md                 |  88 ----
 api-reference-v1-stable/plotting/tables.md    |  95 ----
 .../plotting/timeseries-plots.md              |  58 ---
 .../plotting/violin-plots.md                  | 112 -----
 api-reference-v1-stable/series/README.md      | 182 -------
 .../series/creating-a-series.md               | 210 --------
 .../series/danfo.series.add.md                |  22 -
 .../series/danfo.series.apply.md              |  63 ---
 .../series/danfo.series.copy.md               |  22 -
 .../series/danfo.series.count.md              |  24 -
 .../series/danfo.series.describe.md           |  26 -
 .../series/danfo.series.div.md                |  26 -
 .../series/danfo.series.head.md               |  25 -
 .../series/danfo.series.map.md                |  42 --
 .../series/danfo.series.max.md                |   2 -
 .../series/danfo.series.maximum.md            |  22 -
 .../series/danfo.series.mean.md               |   2 -
 .../series/danfo.series.median.md             |   2 -
 .../series/danfo.series.min.md                |   2 -
 .../series/danfo.series.minimum.md            |  22 -
 .../series/danfo.series.mod.md                |  24 -
 .../series/danfo.series.mode.md               |   2 -
 .../series/danfo.series.mul.md                |  26 -
 .../series/danfo.series.pow.md                |  26 -
 .../series/danfo.series.reset_index.md        |  31 --
 .../series/danfo.series.round.md              |  20 -
 .../series/danfo.series.sample.md             |  22 -
 .../series/danfo.series.set_index.md          |  40 --
 .../series/danfo.series.sort_values.md        |  27 --
 .../series/danfo.series.std.md                |  20 -
 .../series/danfo.series.sub.md                |  24 -
 .../series/danfo.series.sum-1.md              |  22 -
 .../series/danfo.series.tail.md               |  22 -
 .../series/danfo.series.tostring.md           |  18 -
 .../series/danfo.series.var.md                |  20 -
 api-reference-v1-stable/series/series.abs.md  |  52 --
 api-reference-v1-stable/series/series.add.md  |  86 ----
 api-reference-v1-stable/series/series.and.md  | 132 -----
 .../series/series.append.md                   | 135 ------
 .../series/series.apply.md                    | 149 ------
 .../series/series.argmax.md                   |  35 --
 .../series/series.argmin.md                   |  35 --
 .../series/series.argsort.md                  |  75 ---
 .../series/series.astype.md                   |   2 -
 api-reference-v1-stable/series/series.copy.md |  45 --
 api-reference-v1-stable/series/series.corr.md |   2 -
 .../series/series.count.md                    |  36 --
 .../series/series.cummax.md                   |  51 --
 .../series/series.cummin.md                   |  51 --
 .../series/series.cumprod.md                  |  51 --
 .../series/series.cumsum.md                   |  74 ---
 .../series/series.describe.md                 |  57 ---
 api-reference-v1-stable/series/series.div.md  |  87 ----
 api-reference-v1-stable/series/series.dot.md  |   2 -
 .../series/series.drop_duplicates.md          | 121 -----
 .../series/series.dropna.md                   |  91 ----
 .../series/series.dt.day.md                   |  55 ---
 .../series/series.dt.hour.md                  |  52 --
 .../series/series.dt.minute.md                |  60 ---
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diff --git a/api-reference-v1-stable/README.md b/api-reference-v1-stable/README.md
deleted file mode 100644
index b5d5d28..0000000
--- a/api-reference-v1-stable/README.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  This page gives an overview of all public danfo objects, functions and
-  methods. All classes and functions exposed in danfo.* namespace are public.
----
-
-# API reference
-
-* [General Functions](general-functions/)
-  * [Data manipulations](general-functions/#data-manipulations)
-  * [Data Processing/Normalization](general-functions/#data-processing-normalization)
-  * [Top-level dealing with datetime like](general-functions/#top-level-dealing-with-datetime)
-* [Input/output](input-output/)
-  * [CSV](input-output/#csv)
-  * [JSON](input-output/#json)
-* [Series](series/)
-  * [Attributes](series/#attributes)
-  * [Conversion](series/#conversion)
-  * [Indexing, iteration](series/#indexing-iteration)
-  * [Binary operator functions](series/#binary-operator-functions)
-  * [Function application, GroupBy & window](series/#function-application-and-groupby)
-  * [Computations / descriptive stats](series/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](series/#reindexing-selection-label-manipulation)
-  * [Missing data handling](series/#missing-data-handling)
-  * [Reshaping, sorting](series/#reshaping-sorting)
-  * [Accessors](series/#accessors)
-  * [Serialization / IO / conversion](series/#serialization-io-conversion)
-* [DataFrame](dataframe/)
-  * [Attributes ](dataframe/#attributes)
-  * [Conversion](dataframe/#conversion)
-  * [Indexing, iteration](dataframe/#indexing-iteration)
-  * [Binary operator functions](dataframe/#binary-operator-functions)
-  * [Function application, GroupBy & window](dataframe/#function-application-and-groupby)
-  * [Computations / descriptive stats](dataframe/#computations-descriptive-stats)
-  * [Reindexing / selection / label manipulation](dataframe/#reindexing-selection-label-manipulation)
-  * [Missing data handling](dataframe/#missing-data-handling)
-  * [Reshaping, sorting, transposing](dataframe/#sorting-and-transposing)
-  * [Combining / comparing / joining / merging](dataframe/#combining-comparing-joining-merging)
-  * [Serialization / IO / conversion](dataframe/#serialization-io-conversion)
-* [Plotting](plotting/)
-  * [Line Charts](plotting/line-charts.md)
-  * [Bar Charts](plotting/bar-charts.md)
-  * [Scatter Plots](plotting/scatter-plots.md)
-  * [Histograms](plotting/histograms.md)
-  * [Pie Charts](plotting/pie-charts.md)
-  * [Tables](plotting/tables.md)
-  * [Box Plots](plotting/box-plots.md)
-  * [Violin Plots](plotting/violin-plots.md)
-  * [Timeseries Plots](plotting/timeseries-plots.md)
-* [GroupBy](https://pandas.pydata.org/pandas-docs/stable/reference/groupby.html)
-  * [Indexing, iteration](groupby/#indexing-iteration)
-  * [Function application](groupby/#function-application)
-  * [Computations / descriptive stats](groupby/#computations-descriptive-stats)
-
diff --git a/api-reference-v1-stable/configuration-options.md b/api-reference-v1-stable/configuration-options.md
deleted file mode 100644
index f4c2136..0000000
--- a/api-reference-v1-stable/configuration-options.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: >-
-  This section describes all user configurable options available on
-  DataFrame/Series creation.
----
-
-# Configuration Options
-
-On DataFrame/Series creation, a config object can be passed along to configure some internal properties of the created object. The following list shows what options are available and what they do. 
-
-| Parameter          | Description                                                                                                                                                                                                           |
-| ------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| tableDisplayConfig | **Object**, General table display options. Because we use the table package under the hood to display a table in the console, all [table display configurations](https://www.npmjs.com/package/table) are supported.  |
-| tableMaxRow        | **Number**, the total number of rows to display in the console when the **print** function is called. Defaults to 10                                                                                                  |
-| dtypeTestLim       | **Number**, the total number of values to test when inferring data type. Defaults to 10                                                                                                                               |
-| lowMemoryMode      | <p><strong>Boolean</strong>, whether to use minimal memory or not. Defaults to false. <br><strong>Note:</strong> There's a slight decrease in speed when low memory mode is set to true. </p>                         |
-
-> See an example of creating DataFrame [in low memory mode](dataframe/creating-a-dataframe.md#creating-a-dataframe-and-specifying-memory-mode)
-
-## Examples of setting configs
-
-### Add a DataFrame header
-
-```javascript
- const data = {
-                "Name": ["Apples", "Mango", "Banana", "Pear"],
-                "Count": [21, 5, 30, 10],
-                "Price": [200, 300, 40, 250]
-            };
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔════════════════════════════════════════════════════════════════════════╗
-║                               THE HEADER                               ║
-║                   This is the table about something                    ║
-╟────────────┬───────────────────┬───────────────────┬───────────────────╢
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Configure column size and display format of DataFrame
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-};
-const df = new DataFrame(data, {
-    config: {
-        tableDisplayConfig: {
-            header: {
-                alignment: 'center',
-                content: 'THE HEADER\nThis is the table about something',
-            },
-            columns: [
-                { alignment: 'left' },
-                { alignment: 'center', width: 20 },
-                { alignment: 'right' },
-                { alignment: 'justify' }
-            ],
-        },
-    }
-});
-df.print()
-```
-
-```javascript
-╔══════════════════════════════════════════╗
-║                THE HEADER                ║
-║    This is the table about something     ║
-╟───┬──────────────────────┬───────┬───────╢
-║   │         Name         │ Count │ Price ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 0 │        Apples        │    21 │ 200   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 1 │        Mango         │     5 │ 300   ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 2 │        Banana        │    30 │ 40    ║
-╟───┼──────────────────────┼───────┼───────╢
-║ 3 │         Pear         │    10 │ 250   ║
-╚═══╧══════════════════════╧═══════╧═══════╝
-```
-
-### Configure the number of rows displayed when **print** is called
-
-```javascript
-const data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250],
-
-};
-const df = new DataFrame(data, {
-    config: {
-        tableMaxColInConsole: 6,
-        tableMaxRow: 1
-    }
-});
-df.print()
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/dataframe/README.md b/api-reference-v1-stable/dataframe/README.md
deleted file mode 100644
index d48a28d..0000000
--- a/api-reference-v1-stable/dataframe/README.md
+++ /dev/null
@@ -1,145 +0,0 @@
----
-description: Two-dimensional, size-mutable, potentially heterogeneous tabular data.
----
-
-# Dataframe
-
-> `DataFrame`(data, {\
-> &#x20;                               **columns:** \[ Array ],\
-> &#x20;                                **dtypes:** \[ Array ], **** \
-> &#x20;                                **index:** \[Array], \
-> &#x20;                                **options**: Object})
-
-### Attributes
-
-| [`DataFrame.index`](dataframe.index.md)          | The index (row labels) of the DataFrame. |
-| ------------------------------------------------ | ---------------------------------------- |
-| [`DataFrame.columns`](danfo.dataframe.column.md) | The column labels of the DataFrame.      |
-
-| [`DataFrame.ctypes`](dataframe.dtypes.md)                | Return the data types in the DataFrame.                                |
-| -------------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.select_dtypes`](dataframe.select\_dtypes.md) | Return a subset of the DataFrame’s columns based on the column dtypes. |
-| [`DataFrame.values`](dataframe.values.md)                | Return a Numpy representation of the DataFrame.                        |
-| [`DataFrame.axes`](dataframe.axes.md)                    | Return a Object representing the axes of the DataFrame.                |
-| [`DataFrame.ndim`](dataframe.ndim.md)                    | Return an int representing the number of axes / array dimensions.      |
-| [`DataFrame.size`](broken-reference)                     | Return an int representing the number of elements in this object.      |
-| [`DataFrame.shape`](dataframe.shape.md)                  | Return a tuple representing the dimensionality of the DataFrame.       |
-
-### Conversion
-
-| [`DataFrame.astype`](dataframe.astype.md)   | Cast a pandas object to a specified dtype `dtype`. |
-| ------------------------------------------- | -------------------------------------------------- |
-| [`DataFrame.copy`](danfo.dataframe.copy.md) | Make a copy of this object’s indices and data.     |
-
-### Indexing, iteration
-
-| [`DataFrame.head`](danfo.dataframe.head.md)   | Return the first n rows                                            |
-| --------------------------------------------- | ------------------------------------------------------------------ |
-| [`DataFrame.loc`](danfo.dataframe.loc.md)     | Access a group of rows and columns by label(s) or a boolean array. |
-| [`DataFrame.iloc`](danfo.dataframe.iloc.md)   | Purely integer-location based indexing for selection by position.  |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)   | Return the last n rows.                                            |
-| [`DataFrame.query`](danfo.dataframe.query.md) | Query the columns of a DataFrame with a boolean expression.        |
-
-### Binary operator functions
-
-| [`DataFrame.add`](danfo.dataframe.add.md) | Get Addition of dataframe and other, element-wise (binary operator add).                |
-| ----------------------------------------- | --------------------------------------------------------------------------------------- |
-| [`DataFrame.sub`](danfo.dataframe.sub.md) | Get Subtraction of dataframe and other, element-wise (binary operator sub).             |
-| [`DataFrame.mul`](danfo.dataframe.mul.md) | Get Multiplication of dataframe and other, element-wise (binary operator mul).          |
-| [`DataFrame.div`](danfo.dataframe.div.md) | Get Floating division of dataframe and other, element-wise (binary operator truediv).   |
-| [`DataFrame.mod`](danfo.dataframe.mod.md) | Get Modulo of dataframe and other, element-wise (binary operator mod).                  |
-| [`DataFrame.pow`](danfo.dataframe.pow.md) | Get Exponential power of dataframe and other, element-wise (binary operator pow).       |
-| [`DataFrame.lt`](broken-reference)        | Get Less than of dataframe and other, element-wise (binary operator lt).                |
-| [`DataFrame.gt`](danfo.dataframe.gt.md)   | Get Greater than of dataframe and other, element-wise (binary operator gt).             |
-| [`DataFrame.le`](danfo.dataframe.le.md)   | Get Less than or equal to of dataframe and other, element-wise (binary operator le).    |
-| [`DataFrame.ge`](broken-reference)        | Get Greater than or equal to of dataframe and other, element-wise (binary operator ge). |
-| [`DataFrame.ne`](danfo.dataframe.ne.md)   | Get Not equal to of dataframe and other, element-wise (binary operator ne).             |
-| [`DataFrame.eq`](danfo.dataframe.eq.md)   | Get Equal to of dataframe and other, element-wise (binary operator eq).                 |
-
-### Function application & GroupBy
-
-| [`DataFrame.apply`](danfo.dataframe.apply.md) | Apply a function along an axis of the DataFrame.          |
-| --------------------------------------------- | --------------------------------------------------------- |
-| [`DataFrame.groupby`](../groupby/)            | Group DataFrame using a mapper or by a Series of columns. |
-| [`DataFrame.map`](../series/series.map.md)    | Map a function on Object along an axis to DataFrame       |
-
-### Computations / descriptive stats
-
-| [`DataFrame.abs`](danfo.dataframe.abs.md)           | Return a Series/DataFrame with absolute numeric value of each element. |
-| --------------------------------------------------- | ---------------------------------------------------------------------- |
-| [`DataFrame.corr`](broken-reference)                | Compute pairwise correlation of columns, excluding NA/null values.     |
-| [`DataFrame.count`](danfo.dataframe.count.md)       | Count non-NAN cells for each column or row.                            |
-| [`DataFrame.cummax`](danfo.dataframe.cummax.md)     | Return cumulative maximum over a DataFrame or Series axis.             |
-| [`DataFrame.cummin`](danfo.dataframe.cummin.md)     | Return cumulative minimum over a DataFrame or Series axis.             |
-| [`DataFrame.cumprod`](danfo.dataframe.cumprod.md)   | Return cumulative product over a DataFrame or Series axis.             |
-| [`DataFrame.cumsum`](danfo.dataframe.cumsum.md)     | Return cumulative sum over a DataFrame or Series axis.                 |
-| [`DataFrame.describe`](danfo.dataframe.describe.md) | Generate descriptive statistics.                                       |
-| [`DataFrame.max`](danfo.dataframe.max.md)           | Return the maximum of the values for the requested axis.               |
-| [`DataFrame.mean`](danfo.dataframe.mean.md)         | Return the mean of the values for the requested axis.                  |
-| [`DataFrame.median`](danfo.dataframe.median.md)     | Return the median of the values for the requested axis.                |
-| [`DataFrame.min`](danfo.dataframe.min.md)           | Return the minimum of the values for the requested axis.               |
-| [`DataFrame.mode`](../series/series.mode.md)        | Get the mode(s) of each element along the selected axis.               |
-| [`DataFrame.round`](danfo.dataframe.round.md)       | Round a DataFrame to a variable number of decimal places.              |
-| [`DataFrame.sum`](danfo.dataframe.sum.md)           | Return the sum of the values for the requested axis.                   |
-| [`DataFrame.std`](danfo.dataframe.std.md)           | Return sample standard deviation over requested axis.                  |
-| [`DataFrame.var`](danfo.dataframe.var.md)           | Return unbiased variance over requested axis.                          |
-| [`DataFrame.nunique`](broken-reference)             | Count distinct observations over requested axis.                       |
-
-### Reindexing / selection / label manipulation
-
-|                                                      |                                                         |
-| ---------------------------------------------------- | ------------------------------------------------------- |
-| [`DataFrame.drop`](dataframe.drop.md)                | Drop specified labels from rows or columns.             |
-| [`DataFrame.head`](danfo.dataframe.head.md)          | Return the first n rows.                                |
-| [`DataFrame.rename`](dataframe.rename.md)            | Alter axes labels.                                      |
-| [`DataFrame.reset_index`](dataframe.reset\_index.md) | Reset the index of a DataFrame                          |
-| [`DataFrame.sample`](danfo.dataframe.sample.md)      | Return a random sample of items from an axis of object. |
-| [`DataFrame.set_index`](dataframe.set\_index.md)     | Set the DataFrame index using existing columns.         |
-| [`DataFrame.tail`](danfo.dataframe.tail.md)          | Return the last n rows.                                 |
-
-### Missing data handling
-
-|                                                   |                                             |
-| ------------------------------------------------- | ------------------------------------------- |
-| [`DataFrame.dropna`](danfo.dataframe.dropna.md)   | Remove missing values.                      |
-| [`DataFrame.fillna`](danfo.dataframe.fillna.md)   | Fill NaN values with specified values       |
-| [`DataFrame.isna`](danfo.dataframe.isna.md)       | Detect missing values.                      |
-| [`DataFrame.replace`](danfo.dataframe.replace.md) | Replace values given in replace with value. |
-
-### Sorting & transposing
-
-|                                                                                                                        |                                       |
-| ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| [`DataFrame.sort_values`](dataframe.sort\_values.md)                                                                   | Sort by the values along either axis. |
-| [`DataFrame.T`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.T.html#pandas.DataFrame.T) | Return transpose of DataFrame         |
-
-### Combining / comparing / joining / merging
-
-|                                                            |                                                                     |
-| ---------------------------------------------------------- | ------------------------------------------------------------------- |
-| [`DataFrame.addColumn`](danfo.dataframe.addcolumn.md)      | Add new columns to a DataFrame.                                     |
-| [`DataFrame.concat`](../general-functions/danfo.concat.md) | Concatenate DataFrames together.                                    |
-| [`DataFrame.merge`](../general-functions/danfo.merge.md)   | Merge DataFrame or named Series objects with a database-style join. |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                          |                                                               |
-| -------------------------------------------------------- | ------------------------------------------------------------- |
-| [DataFrame.plot.bar](../plotting/bar-charts.md)          | Vertical bar plot.                                            |
-| [`DataFrame.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`DataFrame.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`DataFrame.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`DataFrame.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`DataFrame.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`DataFrame.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md)    | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                         | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                              |                                                      |
-| -------------------------------------------- | ---------------------------------------------------- |
-| [`DataFrame.to_csv`](dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`DataFrame.to_json`](dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/dataframe/creating-a-dataframe.md b/api-reference-v1-stable/dataframe/creating-a-dataframe.md
deleted file mode 100644
index 0228131..0000000
--- a/api-reference-v1-stable/dataframe/creating-a-dataframe.md
+++ /dev/null
@@ -1,355 +0,0 @@
----
-description: Creates a DataFrame object from flat structure
----
-
-# Creating a DataFrame
-
-new danfo.**DataFrame**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">2D Array, 2D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>columns:</b> Array of column names. If not specified, column names are
-          auto generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options. 
-
-### Creating a `DataFrame` from a JSON object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-df = new dfd.DataFrame(json_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Creating a `DataFrame` from an array of array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let arr = [[12, 34, 2.2, 2], [30, 30, 2.1, 7]]
-let df = new dfd.DataFrame(arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 │ D                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 34                │ 2.2               │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 30                │ 2.1               │ 7                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` from a 2D tensor
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-const tf = require("@tensorflow/tfjs-node")
-
-
-let tensor_arr = tf.tensor2d([[12, 34, 2.2, 2], [30, 30, 2.1, 7]])
-let df = new dfd.DataFrame(tensor_arr, {columns: ["A", "B", "C", "D"]})
-df.print()
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 34                │ 2.20000004768...  │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 30                │ 2.09999990463...  │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-
-### Creating a `DataFrame` from an object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-console.log(dates);
-
-obj_data = {'A': dates,
-            'B': ["bval1", "bval2", "bval3", "bval4"],
-            'C': [10, 20, 30, 40],
-            'D': [1.2, 3.45, 60.1, 45],
-            'E': ["test", "train", "test", "train"]
-            }
-
-df = new dfd.DataFrame(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        dates = new dfd.date_range({ start: '2017-01-01', end: "2020-01-01", period: 4, freq: "Y" })
-
-        console.log(dates);
-
-        obj_data = {'A': dates,
-                    'B': ["bval1", "bval2", "bval3", "bval4"],
-                    'C': [10, 20, 30, 40],
-                    'D': [1.2, 3.45, 60.1, 45],
-                    'E': ["test", "train", "test", "train"]
-                    }
-
-        df = new dfd.DataFrame(obj_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//output in console
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 │ E                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1/1/2017, 1:0...  │ bval1             │ 10                │ 1.2               │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1/1/2018, 1:0...  │ bval2             │ 20                │ 3.45              │ train             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1/1/2019, 1:0...  │ bval3             │ 30                │ 60.1              │ test              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1/1/2020, 1:0...  │ bval4             │ 40                │ 45                │ train             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying index, dtypes, columns
-
-You can create a DataFrame and specify options like index, column names, dtypes as well as configuration options like display, memory mode etc. 
-
-> Note: Specifing dtypes, column names and index on DataFrame creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-let index = ["a", "b"];
-let columns = ["col1", "col2", "col3", "col4", "col5", "col6"]
-let dtypes = ["int32", "float32", "int32", "int32", "int32", "string"]
-
-let df = new DataFrame(data1, { index, columns, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              │ col4              │ col5              │ col6              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ 1                 │ 2.3               │ 3                 │ 4                 │ 5                 │ girl              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 40.1              │ 39                │ 89                │ 78                │ boy               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-### Creating a `DataFrame` and specifying memory mode
-
-To use less space on DataFrame creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { DataFrame } from "danfojs"
-
-let data1 = [[1, 2.3, 3, 4, 5, "girl"], [30, 40.1, 39, 89, 78, "boy"]];
-
-let df = new DataFrame(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the DataFrame. The drawback is that some operations especially the ones involving column data become slightly slower. 
-{% endhint %}
-
-For loading flat files like CSV, EXCEL and, JSON into DataFrames, see this [page](../input-output/)
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md b/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
deleted file mode 100644
index 8504222..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.abs.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a DataFrame with the absolute numeric value of each element.
----
-
-# DataFrame.abs
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-The abs function only works on numeric columns and will throw an error if string columns are found in the DataFrame.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-             
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_abs = df.abs()
-df_abs.abs().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after applying abs function
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.1              │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.add.md b/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
deleted file mode 100644
index 925a3cd..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.add.md
+++ /dev/null
@@ -1,246 +0,0 @@
----
-description: Get Addition of DataFrame and other, element-wise (binary operator add).
----
-
-# DataFrame.add
-
-danfo.DataFrame.**add**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Addition of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.add(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 12                │ 25                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 47                │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 58                │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 26                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.add(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 5                 │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 8                 │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 9                 │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 5                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.add(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 2                 │ 22                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 9                 │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 25                │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.add(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Addition works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.add(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 12                │ 25                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 47                │ 22                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 58                │ 12                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 12                │ 26                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md b/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
deleted file mode 100644
index ef0ecc9..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.addcolumn.md
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Add new column to a DataFrame
----
-
-# DataFrame.addColumn
-
-danfo.DataFrame.**addColumn**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1083)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                    | Default |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| options    | Object | <p>{<strong>column</strong> : str, name of the column to add</p><p> <strong>values:</strong> Series<strong>,</strong> Array of new values to add <br> <strong>inplace</strong>: Default to false. </p><p>}</p> |         |
-
-**Returns:**
-
-## **Examples**
-
-## **Add Array as a new column to DataFrame**
-
-New columns get added at the end of the DataFrame, and this happens so returns nothing,
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_col = [1, 2, 3, 4]
-df.addColumn({ "column": "D", "values": new_col, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Add Series as a new column to DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3], 
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-
-let df = new dfd.DataFrame(data)
-let s = new dfd.Series([1, 2, 3, 4])
-df.addColumn({ "column": "D", "values": s, inplace: true });
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md b/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
deleted file mode 100644
index de42294..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.apply.md
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Apply a function to each element or along a specified axis of a DataFrame.
----
-
-# DataFrame.apply
-
-danfo.DataFrame.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Apply a  function along default axis 1 (columns)
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with an array of the values across the specified axis.
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 1 })
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ A │ 64  ║
-╟───┼─────╢
-║ B │ 126 ║
-╟───┼─────╢
-║ C │ 127 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Apply a  function along  axis 0 (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [4, 5, 6], [20, 30, 40], [39, 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-function sum_vals(col) {
-    return col.reduce((a, b) => a + b, 0);
-}
-
-let df_new = df.apply(sum_vals, { axis: 0 })
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ 6   ║
-╟───┼─────╢
-║ 1 │ 15  ║
-╟───┼─────╢
-║ 2 │ 90  ║
-╟───┼─────╢
-║ 3 │ 206 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.column.md b/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
deleted file mode 100644
index 7d963a2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.column.md
+++ /dev/null
@@ -1,72 +0,0 @@
----
-description: Return the elements of the specified column in the DataFrame
----
-
-# DataFrame.column
-
-danfo.DataFrame.**column**(column) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1217)]
-
-| Parameters | Type   | Description                           | Default |
-| ---------- | ------ | ------------------------------------- | ------- |
-| column     | String | The name of a column in the DataFrame |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## **Select a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = { "Name": ["Apples", "App", "Banana", undefined],
-            "Count": [NaN, 5, NaN, 10] ,
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-
-df.column("Name").print()
-
-//Alternatively, you can retrieve columns by using the object property
-df['Name'].print() //produces the same result as above
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-╔═══╤═══════════╗
-║ 0 │ Apples    ║
-╟───┼───────────╢
-║ 1 │ App       ║
-╟───┼───────────╢
-║ 2 │ Banana    ║
-╟───┼───────────╢
-║ 3 │ undefined ║
-╚═══╧═══════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-To select more than one column with specific rows, you can use any of the following: [DataFrame.loc](danfo.dataframe.loc.md), [DataFrame.iloc](danfo.dataframe.iloc.md) or [DataFrame.query](danfo.dataframe.query.md)
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md b/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
deleted file mode 100644
index 188179d..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.copy.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Makes a new copy of the DataFrame
----
-
-# DataFrame.copy
-
-danfo.DataFrame.**copy**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-let new_df = df.copy()
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.count.md b/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
deleted file mode 100644
index 637cbf4..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.count.md
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Count non-NaN cells for each column or row. The values NaN and undefined are
-  considered NaN
----
-
-# DataFrame.count
-
-danfo.DataFrame.**count**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Count Non-NaN values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤══════════════════════╗
-║       │ 0                    ║
-╟───────┼──────────────────────╢
-║ Name  │ 3                    ║
-╟───────┼──────────────────────╢
-║ Count │ 2                    ║
-╟───────┼──────────────────────╢
-║ Price │ 4                    ║
-╚═══════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Count Non-NaN values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", undefined],
-           "Count": [NaN, 5, NaN, 10],
-           "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.count({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
deleted file mode 100644
index fb69bb5..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cummax.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative maximum over a DataFrame or Series axis.
----
-
-# DataFrame.cummax
-
-danfo.DataFrame.**cummax**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative maximum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 11                │ 20                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 11                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 11                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative maximum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummax({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 15                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 89                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
deleted file mode 100644
index be026a6..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cummin.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative minimum over a DataFrame or Series axis.
----
-
-# DataFrame.cummin
-
-danfo.DataFrame.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative minimum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 15                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 1                 │ 15                │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative minimum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cummin({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 11                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 2                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
deleted file mode 100644
index 06ad53a..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cumprod.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative product over a DataFrame or Series axis.
----
-
-# DataFrame.cumprod
-
-danfo.DataFrame.**cumprod**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative product of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 10                │ 18                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 300               │ 720               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 4                 │ 26700             │ 56160             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative product of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[1, 2, 3], [1, 5, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumprod({axis: 1})
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 60                │ 2400              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 178               │ 13884             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
deleted file mode 100644
index 07be896..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.cumsum.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Return cumulative sum over a DataFrame or Series axis.
----
-
-# DataFrame.cumsum
-
-danfo.DataFrame.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L706)]
-
-| Parameters | Type   | Description                                                                                                                                                                           | Default                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------- |
-| options    | Object | <p><strong>axis</strong>: 0 for row and 1 for column</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {axis: 1, inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Cumulative sum of elements along default axis (row)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 0 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 12                │ 35                │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 14                │ 65                │ 49                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 16                │ 154               │ 127               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Cumulative sum of elements along column axis (1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 1 })
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 31                │ 34                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 16                │ 22                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 32                │ 72                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 91                │ 169               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md b/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
deleted file mode 100644
index 0540873..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.describe.md
+++ /dev/null
@@ -1,61 +0,0 @@
----
-description: >-
-  Generate descriptive statistics for each numeric column. Numeric columns are
-  of type Int and float.
----
-
-# DataFrame.describe
-
-danfo.DataFrame.**describe**() \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L821)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding `NaN` values.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [[0, 2, 4, "a"], [360, 180, 360, "b"], [2, 4, 6, "c"]]
-let col_names = ["col1", "col2", "col3", "col4"]
-let df = new dfd.DataFrame(data, {columns: col_names})
-
-df.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ col1              │ col2              │ col3              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ count      │ 3                 │ 3                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ mean       │ 120.66666666666…  │ 62                │ 123.33333333333…  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ std        │ 207.27115895206…  │ 102.19589032832…  │ 204.961785055979  ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ min        │ 0                 │ 2                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ median     │ 2                 │ 4                 │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ max        │ 360               │ 180               │ 360               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ variance   │ 42961.333333333…  │ 10444             │ 42009.333333333…  ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.div.md b/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
deleted file mode 100644
index c98c66e..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.div.md
+++ /dev/null
@@ -1,254 +0,0 @@
----
-description: >-
-  Get Float division of DataFrame and other, element-wise (binary operator
-  truediv).
----
-
-# DataFrame.div
-
-danfo.DataFrame.div(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Division of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.div(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.div(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0.25              │ 0.6000000238418…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0.4000000059604…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1.25              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0.25              │ 0.8000000119209…  ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of  ****  DataFrame **with** a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.div(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0.1000000014901…  ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0.8000000119209…  │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0.25              │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division of **** Array **with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.div(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Division works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.div(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 5                 │ 11.5              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 22.5              │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 28                │ 5                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 5                 │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
deleted file mode 100644
index 429bcbe..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.dropna.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Remove missing values (NaNs, undefined, null) for DataFrame
----
-
-# DataFrame.dropna
-
-danfo.DataFrame.**dropna**(axis, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1430)]
-
-| Parameters | Type   | Description                                                                                                                   | Default              |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------- | -------------------- |
-| axis       | Int    | 0 or 1. If 0, drop columns with NaNs, if 1, drop rows with NaNs                                                               | 1                    |
-| options    | Object | <p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | {**inplace:** false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Drop rows (axis=0) with missing values &#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-let df_drop = df.dropna(0)
-df_drop.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop columns (axis=1) with missing values &#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.print()
-
-df.dropna({axis: 1, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╗
-║   │ C                 ║
-╟───┼───────────────────╢
-║ 0 │ 3                 ║
-╟───┼───────────────────╢
-║ 1 │ 6                 ║
-╟───┼───────────────────╢
-║ 2 │ 40                ║
-╟───┼───────────────────╢
-║ 3 │ 78                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md b/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
deleted file mode 100644
index 5f3cf2a..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.eq.md
+++ /dev/null
@@ -1,190 +0,0 @@
----
-description: Get Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.eq
-
-danfo.DataFrame.eq(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.eq(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.eq(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.eq(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.eq(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
deleted file mode 100644
index 2ddb860..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.fillna.md
+++ /dev/null
@@ -1,178 +0,0 @@
----
-description: >-
-  Fill NaN/undefined values using the specified method. Detect missing values
-  for an array-like object.
----
-
-# DataFrame.fillna
-
-danfo.DataFrame.**fillna**(values, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1235)]
-
-| Parameters | Type            | Description                                                                                                                                                                                                                      | Default          |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| values     | Array \| Scalar | The list of value(s) to use for replacement.                                                                                                                                                                                     |                  |
-| options    | Object          | <p>{<strong>columns</strong>:Array of column name(s) to fill. If undefined fill all columns </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false </p><p> }</p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Fill missing values in specified columns with specified values&#x20;
-
-Missing values are NaN, undefined or null values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let values = ["Apples", df["Count"].mean()]
-let df_filled = df.fillna(values, { columns: ["Name", "Count"] })
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//Before filling
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ NaN               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ NaN               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ NaN               │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After filling
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 7.5               │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 7.5               │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝═╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill all columns with NaNs with a specified value&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let df_filled = df.fillna("Apples")
-
-df_filled.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill NaNs inplace&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {
-    "Name": ["Apples", "Mango", "Banana", undefined],
-    "Count": [NaN, 5, NaN, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data)
-let values = ["Apples", df["Count"].mean()]
-df.fillna(values, {
-    columns: ["Name", "Count"],
-    inplace: true
-})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ Apples            │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ Apples            │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Apples            │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
deleted file mode 100644
index 8e5401b..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.ge.md
+++ /dev/null
@@ -1,195 +0,0 @@
----
-description: >-
-  Get Greater or Equal to of DataFrame and other, element-wise (binary operator
-  eq).
----
-
-# DataFrame.ge
-
-danfo.DataFrame.ge(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;    **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ge(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ge(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ge(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.ge(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md b/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
deleted file mode 100644
index e7d084f..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.groupby.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Group DataFrame using a mapper or by a Series of columns.
----
-
-# DataFrame.groupby
-
-danfo.DataFrame.**groupby**(columns) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1142)]
-
-| Parameters | Type  | Description                                           | Default |
-| ---------- | ----- | ----------------------------------------------------- | ------- |
-| columns    | Array | The names of a column(s) in the DataFrame to group by |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame.groups**
-
-## **Examples**
-
-## **Groupby a single column from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"])
-console.log(group_df)
-
-//GroupBy Object
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: { Pear: [ [Array], [Array] ], Apple: [ [Array], [Array] ] },
-  data: [
-    [ 'Pear', 2, 3 ],
-    [ 'Pear', 5, 6 ],
-    [ 'Apple', 30, 40 ],
-    [ 'Apple', 89, 78 ]
-  ],
-  column_name: [ 'A', 'B', 'C' ],
-  data_tensors: {
-    Pear: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-      '$index': [Array],
-      '$dtypes': [Array],
-      '$columns': [Array]
-    },
-    Apple: DataFrame {
-      '$isSeries': false,
-      '$config': [Configs],
-      '$data': [Array],
-      '$dataIncolumnFormat': [Array],
-       ...
-      '$columns': [Array]
-    }
-  },
-  col_dtype: [ 'string' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-A groupby operation will return a GroupBy class object. You can apply any of the following operation on the groupby result:
-
-1. [count](danfo.dataframe.count.md)
-2. [sum](danfo.dataframe.sum.md)
-3. [std](danfo.dataframe.std.md)
-4. [var](danfo.dataframe.var.md)
-5. [mean](danfo.dataframe.mean.md)
-6. [cumsum](danfo.dataframe.cumsum.md)&#x20;
-7. [cummax](danfo.dataframe.cummax.md)
-8. [cumprod](danfo.dataframe.cumprod.md)
-9. [cummin](danfo.dataframe.cummin.md)
-10. [max](danfo.dataframe.max.md)
-11. [min](danfo.dataframe.min.md)
-
-## Example of Groupby and apply a sum function
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 5, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A"]).sum()
-
-group_df.print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B_sum             │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 7                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 119               │ 118               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-## **Groupby a two columns from a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["Pear", 2, 3], ["Pear", 2, 6], ["Apple", 30, 40], ["Apple", 89, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-let group_df = df.groupby(["A", "B"]).sum()
-
-group_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_sum             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Pear              │ 2                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Apple             │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Apple             │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md b/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
deleted file mode 100644
index ec3f7ba..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.gt.md
+++ /dev/null
@@ -1,191 +0,0 @@
----
-description: Get Greater than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.gt
-
-danfo.DataFrame.g**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.gt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.gt(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.gt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.gt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.head.md b/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
deleted file mode 100644
index 3fe62c4..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.head.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the first n rows of the DataFrame based on position.
----
-
-# DataFrame.head
-
-danfo.DataFrame.**head**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.head(2)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
deleted file mode 100644
index ffd7e25..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.iloc.md
+++ /dev/null
@@ -1,331 +0,0 @@
----
-description: Purely integer-location based indexing for selection by position.
----
-
-# DataFrame.iloc
-
-danfo.DataFrame.**iloc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                         | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, index of row position</p><p><strong>columns</strong>:  Array, index of position along columns</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A string slice object with ints, e.g. `"1:7"`
-* A boolean array.
-
-_**Note:** only the start index is included._
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,1,3]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row and return all columns**
-
-The [**iloc**](danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[1: 3]". This will return all values between index position 1 and 3.  The end index is not included.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: ["1:3"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of column and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by the specified index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let sub_df = df.iloc({rows: [0,3], columns: [1,2]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Indexing both axes by slices
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:3"], columns: ["1:2"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-╔═══╤═══════════════════╗
-║   │ Count             ║
-╟───┼───────────────────╢
-║ 2 │ 30                ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### More default slicing behavior
-
-If you specify a slice start position, **iloc** automatically returns all values after that position. For instance:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let sub_df = df.iloc({rows: ["2:"], columns: ["1:"]})
-sub_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md b/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
deleted file mode 100644
index 830bda5..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.isna.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Return a boolean same-sized object indicating if the values are NaN.
-  NaN/undefined values gets mapped to true values, and everything else gets
-  mapped to false values.
----
-
-# DataFrame.isna
-
-danfo.DataFrame.**isna**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1350)]
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[1, 2, 3], [NaN, 5, 6], [NaN, 30, 40], [39, undefined, 78]]
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.isna().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ false             │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ true              │ false             │ false             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.it.md b/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
deleted file mode 100644
index 3759197..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.it.md
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: Get Less than of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.It
-
-danfo.DataFrame.l**t**(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-           "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.lt(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10, 40])
-
-let df_rep = df.lt(sf, { axis: 1 })
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-         "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.lt(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.lt(val, axis=1)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.le.md b/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
deleted file mode 100644
index 31ce3f7..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.le.md
+++ /dev/null
@@ -1,194 +0,0 @@
----
-description: >-
-  Get Less than or Equal to of DataFrame and other, element-wise (binary
-  operator eq).
----
-
-# DataFrame.le
-
-danfo.DataFrame.le(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.le(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-            
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.le(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-              "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.le(df2)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with an Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10,40]
-
-let df_rep = df.le(val, {axis:1})
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md b/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
deleted file mode 100644
index abdcdd9..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.loc.md
+++ /dev/null
@@ -1,367 +0,0 @@
----
-description: Access a group of rows and columns by label(s)
----
-
-# DataFrame.loc
-
-danfo.DataFrame.**loc**(args) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                            | Default |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------ | ------- |
-| args       | Object | <p>{</p><p><strong>rows</strong>:  Array, labels, Boolean mask of row index</p><p><strong>columns</strong>:  Array, labels of column names</p><p>}</p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-`.loc()` is  label position based-from `0` to `length-1` of the row axis.
-
-Allowed inputs for are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Index by specific rows and return all columns**
-
-If the row's index is specified and the columns are not, then it returns all columns and just the specified rows.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({rows: ["a", "c"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a list of column names and return all rows**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.print()
-let sub_df = df.loc({columns: ["Count", "Price"]})
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after indexing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ a │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────╢
-║ b │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Index both axes by the specified labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: ["c","d"], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ Mango             │ 5                 │ 300               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after slicing
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ c │ Banana            │ 40                ║
-╟───┼───────────────────┼───────────────────╢
-║ d │ Pear              │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"c"\`]**. This will return all values from label positions `a` to c.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-df.print()
-let sub_df = df.loc({ rows: [`"a":"c"`], columns: ["Name", "Price"] })
-sub_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Price             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 200               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 300               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc with alphabetic slices. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-df`.loc({ row: [a:e]}).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-df``.loc({ row: [`"a":"e"`]}).print()``\
-\
-_**Inner**_ _**quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### Slice DataFrame rows by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let sub_df = df.loc({ rows: df["Count"].gt(6) })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-### Slice DataFrame rows by multiple boolean conditions
-
-{% hint style="info" %}
-_By design, you can chain as many boolean logic as possible, as long as they resolve to a Boolean array of the same length as the DataFrame._&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-let condition = df["Count"].gt(6).and(df["Price"].lt(250))
-let sub_df = df.loc({ rows: condition })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ Apples            │ 21                │ 200               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-### Slice DataFrame with boolean mask
-
-{% hint style="info" %}
-_You can index a DataFrame with an array of boolean values as long as they resolve to an array of the same length as the DataFrame._&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Name": ["Apples", "Mango", "Banana", "Pear"],
-    "Count": [21, 5, 30, 10],
-    "Price": [200, 300, 40, 250]
-}
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c", "d"] })
-
-let sub_df = df.loc({ rows: [false, true, true, true] })
-sub_df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d          │ Pear              │ 10                │ 250               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.max.md b/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
deleted file mode 100644
index a5c2119..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.max.md
+++ /dev/null
@@ -1,118 +0,0 @@
----
-description: Return the maximum of the values for the requested axis.
----
-
-# DataFrame.max
-
-danfo.DataFrame.**max**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Return the maximum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.max().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 11                   ║
-╟───┼──────────────────────╢
-║ B │ 89                   ║
-╟───┼──────────────────────╢
-║ C │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the maximum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.max({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 20                   ║
-╟───┼──────────────────────╢
-║ 1 │ 15                   ║
-╟───┼──────────────────────╢
-║ 2 │ 40                   ║
-╟───┼──────────────────────╢
-║ 3 │ 89                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
deleted file mode 100644
index 172cff5..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mean.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the mean of the values for the requested axis.
----
-
-# DataFrame.mean
-
-danfo.DataFrame.**mean**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Computes the mean of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.mean().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 4                    ║
-╟───┼──────────────────────╢
-║ B │ 38.5                 ║
-╟───┼──────────────────────╢
-║ C │ 31.75                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Computes the mean of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-let cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.mean({ axis: 0 }).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11.333333015441895   ║
-╟───┼──────────────────────╢
-║ 1 │ 7.333333492279053    ║
-╟───┼──────────────────────╢
-║ 2 │ 24                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56.33333206176758    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.median.md b/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
deleted file mode 100644
index 3e33583..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.median.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the median of the values for the requested axis.
----
-
-# DataFrame.median
-
-danfo.DataFrame.**median**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculates the median of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.median().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 2                    ║
-╟───┼──────────────────────╢
-║ B │ 25                   ║
-╟───┼──────────────────────╢
-║ C │ 23                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the median of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.median({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 11                   ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 30                   ║
-╟───┼──────────────────────╢
-║ 3 │ 78                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.min.md b/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
deleted file mode 100644
index 49a13d6..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.min.md
+++ /dev/null
@@ -1,120 +0,0 @@
----
-description: Return the minimum of the values for the requested axis.
----
-
-# DataFrame.min
-
-danfo.DataFrame.**min**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Returns the minimum value along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-
-let df = new dfd.DataFrame(data)
-df.min().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ 1                    ║
-╟───┼──────────────────────╢
-║ B │ 15                   ║
-╟───┼──────────────────────╢
-║ C │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Return the minimum value along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-df.print()
-let df = new dfd.DataFrame(data)
-df.min({axis: 0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11                │ 20                │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15                │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 2                 │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
deleted file mode 100644
index 18558e6..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mod.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Get Modulo of DataFrame and other, element-wise (binary operator mod).
----
-
-# DataFrame.mod
-
-danfo.DataFrame.mod(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Modulo of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mod(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mod(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 4                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of  ****  DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mod(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 5                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo of **** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mod(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Modulo works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mod(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 0                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md b/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
deleted file mode 100644
index 3303d77..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.mul.md
+++ /dev/null
@@ -1,252 +0,0 @@
----
-description: Get Multiplication of dataframe and other, element-wise (binary operator mul).
----
-
-# DataFrame.mul
-
-danfo.DataFrame.mul(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Multiplication of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.mul(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.mul(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 4                 │ 15                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 16                │ 10                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 4                 │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.mul(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 20                │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 100               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 8                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.mul(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Multiplication works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.mul(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20                │ 46                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 90                │ 40                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 112               │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 20                │ 48                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md b/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
deleted file mode 100644
index dd45cf0..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.ne.md
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Get Not Equal to of DataFrame and other, element-wise (binary operator eq).
----
-
-# DataFrame.ne
-
-danfo.DataFrame.ne(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type                             | Description                                                 | Default   |
-| ---------- | -------------------------------- | ----------------------------------------------------------- | --------- |
-| other      | DataFrame, Series, Array, Scalar | Data structure, or array-like object to compare against     |           |
-| option     | Object                           | **axis**: 0 or 1. If 0, add column-wise, if 1, add row-wise | {axis: 1} |
-
-**Returns:**
-
-****
-
-## **Examples**
-
-### Comparing **** DataFrame with a scalar value:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.ne(20)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ false             ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ true              │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a Series along the column axis:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([10,40])
-
-let df_rep = df.ne(sf, {axis:1})
-
-df_rep.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ true              ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let data2 = {"new_col1": [10, 45, 200, 10],
-            "new_Col2": [230, 200, 110, 24]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_rep = df.ne(df2)
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ true              │ true              ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ false             │ false             ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Comparing **** DataFrame with a JavaScript Array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"Col1": [10, 45, 56, 10],
-            "Col2": [23, 20, 10, 24]}
-let df = new dfd.DataFrame(data)
-let val = [10, 40, 30, 20]
-
-let df_rep = df.le(val)
-
-df_rep.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ true              │ false             │ false             │ true              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ false             │ true              │ true              │ false             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md b/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
deleted file mode 100644
index e6f1e6c..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.pow.md
+++ /dev/null
@@ -1,260 +0,0 @@
----
-description: >-
-  Get Exponential power of dataframe and other, element-wise (binary operator
-  pow).
----
-
-# DataFrame.pow
-
-danfo.DataFrame.pow(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Exponential of **scalar with** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.pow(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of  **Series with** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.pow(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 243               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 256               │ 32                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 625               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 1                 │ 1024              ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of  ****  DataFrame with a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.pow(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 1048576           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 1024              │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 95367433551872    │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 16                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential of **** Array with DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.pow(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Exponential works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.pow(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 100               │ 529               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 2025              │ 400               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 3136              │ 100               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 100               │ 576               ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.query.md b/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
deleted file mode 100644
index 129c8e7..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.query.md
+++ /dev/null
@@ -1,278 +0,0 @@
----
-description: >-
-  Query the DataFrame by the result of a logical comparison or boolean mask.
-  Supports logical operations like (">", "<", ">=", "<=", and. "==")
----
-
-# DataFrame.query
-
-danfo.DataFrame.**query**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1011)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                | Default              |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------- |
-| kwargs     | Object | <p>{</p><p><strong>condition:</strong> A logical boolean mask,</p><p><strong>column</strong> : str, name of the column </p><p> <strong>is:</strong> Logical operator, one of  ">", "&#x3C;", ">=", "&#x3C;=", and. "=="</p><p><strong>to</strong>: Int, Float, Str. Value to compare against,</p><p><strong>inplace</strong>: boolean. true | false. Whether to perform operation to the original Object or create a new one. </p><p>}</p> | {**inplace**: false} |
-
-**Returns:**
-
-&#x20;      ****       return **new DataFrame**
-
-## **Examples**
-
-## **Query a DataFrame using a boolean mask**
-
-{% hint style="info" %}
-Querying by a boolean condition is supported from v0.3.0 and above.
-{% endhint %}
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5) })
-query_df.print() //after query
-```
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-It also supports condition chaining as long as the final boolean mask is the same lenght as the DataFrame rows. For example in the following code, we use multiple chaining conditions:
-
-```javascript
-let data = {
-    "A": ["Ng", "Yu", "Mo", "Ng"],
-    "B": [34, 4, 5, 6],
-    "C": [20, 20, 30, 40]
-}
-let df = new dfd.DataFrame(data)
-
-let query_df = df.query({ condition: df["B"].gt(5).and(df["C"].lt(40)) })
-query_df.print() //after query
-
-//output
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Ng                │ 34                │ 20                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-
-## **Query a DataFrame using logical operators**
-
-To query a DataFrame, you can specify the column to use, the logical operator (">", "<", ">=", "<=", and. "=="), and the value to compare against.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print() //before query
-
-let query_df = df.query({ "column": "B", "is": ">", "to": 5 })
-query_df.print() //after query
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 4                 │ 5                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 20                │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 39                │ 89                │ 78                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ "column": "A", "is": ">", "to": 9 })
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query by a string column in a DataFrame**
-
-The query method also works on string columns.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": ["Ng", "Yu", "Mo", "Ng"],
-            "B": [34, 4, 5, 6], 
-            "C": [20, 20, 30, 40]}
-            
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let query_df = df.query({ column: "A", is: "==", to: "Ng"})
-query_df.print() //after query
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ Yu                │ 4                 │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Mo                │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//after query
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Ng                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Ng                │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## **Query a DataFrame inplace**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [30, 1, 2, 3],
-           "B": [34, 4, 5, 6],
-           "C": [20, 20, 30, 40]}
-           
-let cols = ["A", "B", "C"]
-let df = new dfd.DataFrame(data, { columns: cols })
-
-df.query({
-    column: "B",
-    is: ">",
-    to: 5,
-    inplace: true
-})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 30                │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 3                 │ 6                 │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md b/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
deleted file mode 100644
index 82fa16d..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.replace.md
+++ /dev/null
@@ -1,102 +0,0 @@
----
-description: Replaces values in a DataFrame with specified values
----
-
-# DataFrame.replace
-
-> danfo.DataFrame.**replace**(oldValue, newValue, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1670)]
-
-| Parameters | Type                    | Description                                                                                                                                                                                                                                                              | Default          |
-| ---------- | ----------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------- |
-| oldValue   | String, boolean, Number | The value you want to replace                                                                                                                                                                                                                                            |                  |
-| newValue   | String, boolean, Number | The new value you want to replace the old value with                                                                                                                                                                                                                     |                  |
-| options    | Object                  | <p><strong>columns:</strong> Array<strong>.</strong> An array of column names to replace, If not specified, replace all columns.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p></p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-****
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_rep = df.replace(10, -999, { columns: ["Col1"] })
-
-df_rep.print()
- 
- 
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Col1              │ Col2              ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -999              │ 23                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 45                │ 20                ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 56                │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -999              │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By not specifying a **** column**,** the **** replace works on all columns ****&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [["A", "A", "A", "B"], ["B", "C", "C", "D"]]
-let df = new dfd.DataFrame(data)
-//replace value in all column
-let df_rep = df.replace("A", "BOY")
-
-df_rep.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ BOY               │ BOY               │ BOY               │ B                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ B                 │ C                 │ C                 │ D                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.round.md b/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
deleted file mode 100644
index e12cb52..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.round.md
+++ /dev/null
@@ -1,128 +0,0 @@
----
-description: Round elements in a DataFrame to a specified number of decimal places.
----
-
-# DataFrame.round
-
-danfo.DataFrame.**round**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                                        | Default            |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------- | ------------------ |
-| dp         | Int    | Number of decimal places to round to. Defaults to 1                                                | 1                  |
-| options    | Object | **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-## Round elements to 1dp (Default)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round()
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1              │ 3.6               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.1               │ 40.2              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Round elements to a specified number of decimal places
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-data = [[11.20, 20.1234, 3.567], [1, 15.1, 6.0], [2, 3.09, 40.234]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data, { columns: cols })
-df.print()
-
-let new_df = df.round(2)
-
-new_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.1234           │ 3.567             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.234            ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after round operation 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 11.2              │ 20.12             │ 3.57              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 1                 │ 15.1              │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 3.09              │ 40.23             ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
deleted file mode 100644
index b8a4c96..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sample.md
+++ /dev/null
@@ -1,112 +0,0 @@
----
-description: Return a random sample of rows from DataFrame.
----
-
-# DataFrame.sample
-
-danfo.DataFrame.**sample**(num, seed) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L314)]
-
-| Parameters | Type | Description                                                                                                                        | Default |
-| ---------- | ---- | ---------------------------------------------------------------------------------------------------------------------------------- | ------- |
-| num        | Int  | The number of rows to return. Defaults to -1, which shuffles and return all rows.                                                  | -1      |
-| seed       | int  | An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | 1       |
-
-**Returns:**
-
-&#x20;      ****       return **{Promies} resolves to DataFrame**
-
-****
-
-## Sample a DataFrame randomly
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data = {
-    Name: ["Apples", "Mango", "Banana", "Pear"],
-    Count: [21, 5, 30, 10],
-    Price: [200, 300, 40, 250],
-  };
-
-  let df = new dfd.DataFrame(data);
-  let s_df = await df.sample(2);
-  s_df.print();
-  
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ Apples            │ 21                │ 200               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sample a DataFrame randomly with seed
-
-By setting `seed` when using `sample`, you can ensure that the random sampling is reproducible.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data = {
-        Name: ["Apples", "Mango", "Banana", "Pear"],
-        Count: [21, 5, 30, 10],
-        Price: [200, 300, 40, 250],
-    };
-
-    let df = new dfd.DataFrame(data);
-    let s_df = await df.sample(3, { seed: 2 });
-    s_df.print();
-
-}
-
-load_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Name              │ Count             │ Price             ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ Mango             │ 5                 │ 300               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ Banana            │ 30                │ 40                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ Apples            │ 21                │ 200               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.std.md b/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
deleted file mode 100644
index 1a37e2e..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.std.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return sample standard deviation over requested axis.
----
-
-# DataFrame.std
-
-danfo.DataFrame.**std**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculates the standard deviation of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4.69041575982343     ║
-╟───┼──────────────────────╢
-║ 1 │ 34.23935357645254    ║
-╟───┼──────────────────────╢
-║ 2 │ 35.103418636936205   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculates the standard deviation of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.std({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 8.504900548115383    ║
-╟───┼──────────────────────╢
-║ 1 │ 7.094598884597588    ║
-╟───┼──────────────────────╢
-║ 2 │ 19.697715603592208   ║
-╟───┼──────────────────────╢
-║ 3 │ 47.37439533475159    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-##
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
deleted file mode 100644
index e36ddcc..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sub.md
+++ /dev/null
@@ -1,250 +0,0 @@
----
-description: Get Subtraction of dataframe and other, element-wise (binary operator sub).
----
-
-# DataFrame.sub
-
-danfo.DataFrame.sub(other, option) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L347)]
-
-| Parameters | Type                               | Description                                                                                                                                                                                  | Default                      |
-| ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------- |
-| other      | DataFrame, Series, Array or Scalar | Object to add with                                                                                                                                                                           |                              |
-| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for row, 1 for column.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false }  |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Subtraction of **scalar to** DataFrame along default axis 1
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-let df = new dfd.DataFrame(data)
-
-let df_new = df.sub(2)
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of  **Series to** DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [1, 4, 5, 1],
-    "Col2": [3, 2, 0, 4]
-}
-
-let df = new dfd.DataFrame(data)
-let sf = new dfd.Series([4, 5])
-
-let df_new = df.sub(sf, { axis: 1 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ -3                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ -3                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 1                 │ -5                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -3                │ -1                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of  ****  DataFrame to a DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = {"Col1": [1, 4, 5, 0], 
-            "Col2": [2, 0, 1, 4]}
-            
-let data2 = {"new_col1": [1, 5, 20, 10],
-             "new_Col2": [20, 2, 1, 2]}
-
-let df = new dfd.DataFrame(data)
-let df2 = new dfd.DataFrame(data2)
-
-let df_new = df.sub(df2)
-
-df_new.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 0                 │ -18               ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ -1                │ -2                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ -15               │ 0                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ -10               │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction of **** Array to DataFrame along axis 0
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-let df_new = df.sub(val, { axis: 0 })
-
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Subtraction works inplace
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "Col1": [10, 45, 56, 10],
-    "Col2": [23, 20, 10, 24]
-}
-
-let df = new dfd.DataFrame(data)
-let val = [2, 2, 2, 2]
-
-df.sub(val, { axis: 0, inplace: true })
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ Col1              │ Col2              ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ 8                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ 43                │ 18                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ 54                │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ 8                 │ 22                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md b/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
deleted file mode 100644
index 3937d3f..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.sum.md
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Return the sum of the values for the requested axis.
----
-
-# DataFrame.sum
-
-danfo.DataFrame.**sum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Sum elements along default axis (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum()
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20.1             │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -4                │ -20               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 5                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ -20               │ 6                 │ -40               ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤════════════════════╗
-║ A │ 37.199999999999996 ║
-╟───┼────────────────────╢
-║ B │ 41                 ║
-╟───┼────────────────────╢
-║ C │ -10                ║
-╚═══╧════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Sum elements along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-             "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-df.print()
-
-let df_sum = df.sum({axis: 0})
-df_sum.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ sum                  ║
-╟───┼──────────────────────╢
-║ 0 │ 33.9                 ║
-╟───┼──────────────────────╢
-║ 1 │ 6                    ║
-╟───┼──────────────────────╢
-║ 2 │ 82.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -54                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md b/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
deleted file mode 100644
index 165acac..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.tail.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Returns the last n rows from the DataFrame based on position.
----
-
-# DataFrame.tail
-
-danfo.DataFrame.**tail**(rows) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L292)]
-
-| Parameters | Type | Description                  | Default |
-| ---------- | ---- | ---------------------------- | ------- |
-| rows       | Int  | The number of rows to return | 5       |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Name": ["Apples", "Mango", "Banana", "Pear"],
-            "Count": [21, 5, 30, 10],
-            "Price": [200, 300, 40, 250] }
-
-let df = new dfd.DataFrame(data)
-let s_df = df.tail(3)
-s_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Name              │ Count             │ Price             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ Banana            │ 30                │ 40                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ Pear              │ 10                │ 250               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/danfo.dataframe.var.md b/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
deleted file mode 100644
index ea0daf2..0000000
--- a/api-reference-v1-stable/dataframe/danfo.dataframe.var.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return unbiased variance over requested axis.
----
-
-# DataFrame.var
-
-danfo.DataFrame.**var**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L454)]
-
-| Parameters | Type   | Description                                                                         | Default     |
-| ---------- | ------ | ----------------------------------------------------------------------------------- | ----------- |
-| options    | Object | **axis:** 0 or 1. If 0, compute the mean column-wise, if 1, row-wise. Defaults to 1 | { axis: 1 } |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-## Calculate variance of values along default axis 1 (column)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 22                   ║
-╟───┼──────────────────────╢
-║ 1 │ 1172.3333333333333   ║
-╟───┼──────────────────────╢
-║ 2 │ 1232.25              ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-## Calculate variance of values along row axis (0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
-cols = ["A", "B", "C"]
-
-let df = new dfd.DataFrame(data)
-df.var({axis:0}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 72.33333333333334    ║
-╟───┼──────────────────────╢
-║ 1 │ 50.33333333333333    ║
-╟───┼──────────────────────╢
-║ 2 │ 388                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2244.333333333333    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/dataframe/dataframe.append.md b/api-reference-v1-stable/dataframe/dataframe.append.md
deleted file mode 100644
index bc2e29d..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.append.md
+++ /dev/null
@@ -1,76 +0,0 @@
----
-description: Adds new row to the end of a DataFrame
----
-
-# DataFrame.append
-
-danfo.DataFrame.**append**(val) \[[source](https://github.com/opensource9ja/danfojs/blob/2696f1d8420dd364464aae7c5c175c6cd0ef4c93/danfojs/src/core/frame.js#L2059)]
-
-| Parameters | Type                        | Description                                                                                                                                      | Default                                                 |
-| ---------- | --------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------------------------- |
-| newValues  | Array, Series or DataFrame  | Value to append to the DataFrame                                                                                                                 |                                                         |
-| index      | Array                       | The new index value(s) to append to the Series. Must contain the same number of values as`newValues`  as they map `1 - 1`.                       |                                                         |
-| options    | Object                      | <p>Optional parameters</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>inplace</strong> : false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Appends a new row to the end of a DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_df = df.append([[20, 40, 60, "d"]], [3])
-new_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (4,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 20                │ 40                │ 60                │ d                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/dataframe/dataframe.apply_map.md b/api-reference-v1-stable/dataframe/dataframe.apply_map.md
deleted file mode 100644
index 3819821..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.apply_map.md
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Apply a function to a Dataframe values element-wise.
----
-
-# DataFrame.apply\_map
-
-danfo.DataFrame.**apply\_map**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L1566)]
-
-| Parameters | Type     | Description                                                           | Default   |
-| ---------- | -------- | --------------------------------------------------------------------- | --------- |
-| callable   | Function | Function to apply to each column or row                               |           |
-| options    | Object   | **axis**: 0 or 1. If 0, compute the power column-wise, if 1, row-wise | {axis: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Apply a  function to all values in a DataFrame
-
-{% hint style="info" %}
-Note that the specified function passed to `apply` will be called with each element in the DataFrame. If you need to apply a function across an axis, then use the [apply](danfo.dataframe.apply.md) function.&#x20;
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    short_name: ["NG", "GH", "EGY", "SA"],
-    long_name: ["Nigeria", "Ghana", "Eqypt", "South Africa"]
-}
-let df = new dfd.DataFrame(data)
-
-function lower(x) {
-    return `${x}`.toLowerCase()
-}
-
-let df_new = df.apply_map(lower)
-df_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ short_name        │ long_name         ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ ng                │ nigeria           ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ gh                │ ghana             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ egy               │ eqypt             ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ sa                │ south africa      ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.astype.md b/api-reference-v1-stable/dataframe/dataframe.astype.md
deleted file mode 100644
index e6434dc..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.astype.md
+++ /dev/null
@@ -1,222 +0,0 @@
----
-description: Cast column of a DataFrame to a specified dtype.
----
-
-# DataFrame.astype
-
-danfo.DataFrame.**astype**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                | Default            |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | <p>{</p><p><strong>column</strong>:  Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Cast a float dtype column to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.print()
-df.ctypes.print()
-
-let df_new = df.astype({column: "A", dtype: "int32"})
-df_new.print()
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//before casting
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-
-
- //after casting
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20.1              │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47                │ 5                 │ 30.3              │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ int32                ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Casting a string column of numbers to int**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["20", "13", "45", "90"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ 13                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ 45                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ 90                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** Casting a string column of alphabets/words to numeric form will return NaNs as values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20.1, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6],
-             "C": [20.1, -20.23, 30.3, 40.11],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-let df_new = df.astype({column: "D", dtype: "int32"})
-df_new.print()
-
-df_new.ctypes.print()
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20.1              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20.23            │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30.3              │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 40.11             │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ float32              ║
-╟───┼──────────────────────╢
-║ D │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.axes.md b/api-reference-v1-stable/dataframe/dataframe.axes.md
deleted file mode 100644
index 399a0a4..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.axes.md
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: >-
-  Return an Object containing the axes of the DataFrame. It has the row axis
-  labels and column axis labels as the only members. They are returned in that
-  order.
----
-
-# DataFrame.axis
-
-danfo.DataFrame.**axis** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Object**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.axis)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-{ index: [ 'a', 'b', 'c', 'd' ], columns: [ 'A', 'B', 'C' ] }
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.drop.md b/api-reference-v1-stable/dataframe/dataframe.drop.md
deleted file mode 100644
index 0b742aa..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.drop.md
+++ /dev/null
@@ -1,143 +0,0 @@
----
-description: >-
-  Drop specified labels from rows or columns.Remove rows or columns by
-  specifying label names and corresponding axis.
----
-
-# DataFrame.drop
-
-danfo.DataFrame.**drop**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                          | Default             |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- |
-| options    | Object | <p>{</p><p><strong>columns</strong>:  Array of column names to drop.</p><p><strong>index</strong>:  Array of index labels to drop.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Drop columns by specifying the names
-
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.drop({ columns: ["C", "B"], inplace: true });
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ a                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ b                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ c                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying int labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3, -20],
-    "B": [34, -4, 5, 6],
-    "C": [20, 20, 30, 30],
-    "D": ["a", "b", "c", "c"]
-}
-
-let df = new dfd.DataFrame(data)
-df.drop({ index: [0, 2], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop rows by specifying string labels/index
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20],
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-df.drop({ index: ["a", "c"], inplace: true });
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ d │ -20               │ 6                 │ 30                │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.dtypes.md b/api-reference-v1-stable/dataframe/dataframe.dtypes.md
deleted file mode 100644
index 791d296..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.dtypes.md
+++ /dev/null
@@ -1,100 +0,0 @@
----
-description: >-
-  Return the inferred column types in the DataFrame. This returns a Series with
-  the data type of each column. The result’s index is the original DataFrame’s
-  columns.
----
-
-# DataFrame.ctypes
-
-danfo.DataFrame.**dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/frame.js#L1848)]
-
-**Returns:**
-
-&#x20;      ****       return  **Series**
-
-## **Examples**
-
-Returns auto-generated **** index of a **** DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Columns with mixed types are represented as **string.**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-df.ctypes.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ A │ float32              ║
-╟───┼──────────────────────╢
-║ B │ int32                ║
-╟───┼──────────────────────╢
-║ C │ int32                ║
-╟───┼──────────────────────╢
-║ D │ string               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note**: To cast a type, use the [astype](dataframe.astype.md) method.&#x20;
diff --git a/api-reference-v1-stable/dataframe/dataframe.index.md b/api-reference-v1-stable/dataframe/dataframe.index.md
deleted file mode 100644
index a185e63..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.index.md
+++ /dev/null
@@ -1,69 +0,0 @@
----
-description: The index (row labels) of the DataFrame.
----
-
-# DataFrame.index
-
-danfo.DataFrame.**index** \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/frame.js#L940)]
-
-## **Examples**
-
-Returns auto-generated **** index of a **** DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[0, 1, 2, 3]
-```
-{% endtab %}
-{% endtabs %}
-
-
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["r1", "r2", "r3", "r4"])
-
-console.log(df.index);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 'r1', 'r2', 'r3', 'r4' ]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.ndim.md b/api-reference-v1-stable/dataframe/dataframe.ndim.md
deleted file mode 100644
index c64dd09..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.ndim.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: >-
-  Return an int representing the number of axes / array dimensions. Returns 1 if
-  Series. Otherwise return 2 for DataFrame.
----
-
-# DataFrame.ndim
-
-danfo.DataFrame.**ndim** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
-
-**Note:** To get the **shape** of the DataFrame use the .[shape](dataframe.shape.md) property.
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data)
-
-console.log(df.ndim)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-2
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.nunique-1.md b/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
deleted file mode 100644
index 8166904..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.nunique-1.md
+++ /dev/null
@@ -1,98 +0,0 @@
-# DataFrame.nunique
-
-danfo.DataFrame.**nunique**(axis) \[[source](https://github.com/opensource9ja/danfojs/blob/f84d7f53f2b0639e464f9483fb5cea969ad913d6/danfojs/src/core/frame.js#L1975)]
-
-| Parameters | Type | Description                            | Default |
-| ---------- | ---- | -------------------------------------- | ------- |
-| axis       | Int  |  0 for row axis, and 1 for column axis | 1       |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-### Return number of unique values along column axis (axis=1)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique().print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 4 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Return number of unique values in row axis (axis=0)
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30],
-             "D": ["a", "b", "c", "c"] }
-
-let df = new dfd.DataFrame(data)
-df.nunique(axis=0).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 4                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To get the unique elements along an axis, use **** [DataFrame.unique.](dataframe.nunique-1.md)
diff --git a/api-reference-v1-stable/dataframe/dataframe.print.md b/api-reference-v1-stable/dataframe/dataframe.print.md
deleted file mode 100644
index d03232d..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.print.md
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: >-
-  Pretty prints default (10) number of rows in a DataFrame or Series to the
-  console
----
-
-# DataFrame.print
-
-danfo.DataFrame.**print()** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Abs               │ Count             │ country code      ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20.2              │ 34                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 4                 │ FR                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ GH                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Using JavaScript default **console.log** to display a DataFrame will return the Object instead unless you manually cast it to a String
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 4, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-console.log(df)
-console.log(String(df));
-// console.log(df + ""); //same result as above
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-DataFrame {
-  '$isSeries': false,
-  '$config': Configs {
-    tableDisplayConfig: {},
-    tableMaxRow: 10,
-    tableMaxColInConsole: 21,
-    dtypeTestLim: 7,
-    lowMemoryMode: false
-  },
-  '$data': [ [ 20.2, 34, 'NG' ], [ 30, 5, 'FR' ], [ 47.3, 6, 'GH' ] ],
-  '$dataIncolumnFormat': [ [ 20.2, 30, 47.3 ], [ 34, 5, 6 ], [ 'NG', 'FR', 'GH' ] ],
-  '$index': [ 0, 1, 2 ],
-  '$dtypes': [ 'float32', 'int32', 'string' ],
-  '$columns': [ 'Abs', 'Count', 'country code' ]
-}
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ Abs               │ Count             │ country code      ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 20.2              │ 34                │ NG                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ FR                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ GH                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.rename.md b/api-reference-v1-stable/dataframe/dataframe.rename.md
deleted file mode 100644
index c33ce99..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.rename.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: >-
-  Change axes labels. Object values must be unique (1-to-1). Labels not
-  contained in a dict / Series will be left as-is. Extra labels listed don’t
-  throw an error.
----
-
-# DataFrame.rename
-
-danfo.DataFrame.**rename**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                | Default                          |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------------------------- |
-| options    | Object | <p>{</p><p><strong>mapper</strong>:  Object of labels and transformations to apply to that axis’ values.</p><p><strong>axis</strong>:  row=0, columns=1.</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**axis**: 1, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### Rename columns&#x20;
-
-By setting **inplace** to _true_, the original DataFrame is modified and nothing is returned. To not modify the original DataFrame and return a new one, set **inplace** to false or leave it as default.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 5],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.rename({ mapper: {"A": "new_name"},inplace: true })
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename more the one column at time
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -4, 6],
-             "C": [20, 2, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df = df.rename({ mapper: {"A": "new_name", "C": "new_c"}})
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ new_name          │ B                 │ new_c             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Rename index by labels
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, -4, 6],
-    "C": [20, 2, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df = df.rename({ mapper: { "a": 0 }, axis: 0 })
-df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20               │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 30                │ -4                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 47.3              │ 5                 │ 30                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.reset_index.md b/api-reference-v1-stable/dataframe/dataframe.reset_index.md
deleted file mode 100644
index ddee8e0..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.reset_index.md
+++ /dev/null
@@ -1,73 +0,0 @@
----
-description: Reset the index of the DataFrame, and use the default one instead.
----
-
-# DataFrame.reset\_index
-
-danfo.DataFrame.**reset\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object | <p><strong>{</strong> </p><p><strong>inplace</strong>: sBoolean indicating whether to perform the operation inplace or not. Defaults to false</p><p><strong>}</strong></p> | {inplace: false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    "A": [-20, 30, 47.3],
-    "B": [34, 5, 6],
-    "C": [20, 3, 30]
-}
-
-
-let df = new dfd.DataFrame(data, { index: ["a", "b", "c"] })
-df.print()
-
-df.reset_index({ inplace: true }) //inplace
-//df = df.reset_index() //not in inplace
-
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md b/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
deleted file mode 100644
index ba5044e..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.select_dtypes.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Return a subset of the DataFrame’s columns based on the column dtypes.
----
-
-# DataFrame.select\_dtypes
-
-danfo.DataFrame.**select\_dtypes** \[[source](https://github.com/opensource9ja/danfojs/blob/db48bf9701e1c3205811ba2699b42ce56ef7e63b/danfojs/src/core/frame.js#L778)]
-
-| Parameters | Type  | Description                      | Default |
-| ---------- | ----- | -------------------------------- | ------- |
-| include    | Array | List of column dtypes to return  |         |
-
-**Returns:**
-
-&#x20;      ****       return  **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40],
-            "D": ["a", "b", 20, 2.5]}
-            
-let df = new dfd.DataFrame(data)
-
-float_df = df.select_dtypes(['float32'])
-float_df.print()
-
-mix_df = df.select_dtypes(include=['float32', "int32"])
-mix_df.print()
-
-str_df = df.select_dtypes(include=['string'])
-str_df.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//select float column(s)
-╔═══╤══════════════════════╗
-║   │ A                    ║
-╟───┼──────────────────────╢
-║ 0 │ -20.1                ║
-╟───┼──────────────────────╢
-║ 1 │ 30                   ║
-╟───┼──────────────────────╢
-║ 2 │ 47.3                 ║
-╟───┼──────────────────────╢
-║ 3 │ -20                  ║
-╚═══╧══════════════════════╝
-
-
- //select both float and int columns
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -20.1             │ 34                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ -4                │ -20               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 47.3              │ 5                 │ 30                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ -20               │ 6                 │ -40               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//return string type column
-╔═══╤══════════════════════╗
-║   │ D                    ║
-╟───┼──────────────────────╢
-║ 0 │ a                    ║
-╟───┼──────────────────────╢
-║ 1 │ b                    ║
-╟───┼──────────────────────╢
-║ 2 │ 20                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.set_index.md b/api-reference-v1-stable/dataframe/dataframe.set_index.md
deleted file mode 100644
index e82c213..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.set_index.md
+++ /dev/null
@@ -1,176 +0,0 @@
----
-description: >-
-  Set the DataFrame index using existing columns or an array (of the equal
-  length).
----
-
-# DataFrame.set_index
-
-danfo.DataFrame.**set_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                  | Default                              |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
-| options    | Object | <p>{</p><p><strong>index</strong>: An array of index values to set.</p><p></p><p><strong>column</strong>: A column name to set the index to.</p><p></p><p><strong>drop</strong>: Whether to drop the column whose index was set. Defaults to false.</p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**drop**: false, **inplace:**false} |
-
-## **Examples**
-
-### **Setting index to a column in the DataFrame**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ -20        │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 30         │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### ****
-
-### **Setting index to a column in the DataFrame and dropping the column**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c"]})
-df.print()
-
-df.set_index({column: "A", drop: true, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ -20        │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 30         │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 47.3       │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Set index to an array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, -5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let new_index = ["a", "b", "c"]
-df.set_index({index: new_index, inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b          │ 30                │ -5                │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-**Note:** To reset an index to the default values, use the [DataFrame.reset_index](dataframe.reset_index.md).
diff --git a/api-reference-v1-stable/dataframe/dataframe.shape.md b/api-reference-v1-stable/dataframe/dataframe.shape.md
deleted file mode 100644
index 746491d..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.shape.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-description: Returns an Array representing the dimensionality of the DataFrame.
----
-
-# DataFrame.shape
-
-danfo.DataFrame.**shape** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Int**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-let df = new dfd.DataFrame(data, {index: ["a", "b", "c", "d"]})
-
-console.log(df.shape)
-
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[4,3]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_index.md b/api-reference-v1-stable/dataframe/dataframe.sort_index.md
deleted file mode 100644
index 81d5b7f..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.sort_index.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Sort DataFrame by index
----
-
-# DataFrame.sort\_index
-
-DataFrame.**sort\_index**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/frame.js#L2094)]
-
-| Parameters | Type   | Description                                                                                                                                                                               | Default                                  |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>ascending</strong>:  Sorting order. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [[0, 2, 4, "b"],
-            [360, 180, 360, "a"],
-            [2, 4, 6, "c"]]
-
-let df = new dfd.DataFrame(data, { "columns": ["col1", "col2", "col3", "col4"],
-                           index: ["b", "a", "c"] })
-df.print()
-
-let df2 = df.sort_index({ ascending: false })
-df2.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after sorting in descending order
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ col1              │ col2              │ col3              │ col4              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ c │ 2                 │ 4                 │ 6                 │ c                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ b │ 0                 │ 2                 │ 4                 │ b                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ a │ 360               │ 180               │ 360               │ a                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/dataframe/dataframe.sort_values.md b/api-reference-v1-stable/dataframe/dataframe.sort_values.md
deleted file mode 100644
index 54345b1..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.sort_values.md
+++ /dev/null
@@ -1,99 +0,0 @@
----
-description: Sort a Dataframe in ascending or descending order by a specified column name.
----
-
-# DataFrame.sort\_values
-
-danfo.DataFrame.**sort\_values**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                      | Default                                  |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |
-| options    | Object | <p>{</p><p><strong>by</strong>:  This key can be either a single column name or a single array of the same length as the calling DataFrame,</p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | {**ascending**: true, **inplace:**false} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Sort DataFrame by a column in ascending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "C", inplace: true})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Sort DataFrame by a column in descending order**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3],
-             "B": [34, 5, 6],
-             "C": [20, 3, 30] }
-
-
-let df = new dfd.DataFrame(data)
-df.sort_values({by: "B", inplace: true, ascending: false})
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 30                │ 5                 │ 3                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.tensor.md b/api-reference-v1-stable/dataframe/dataframe.tensor.md
deleted file mode 100644
index 822886e..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.tensor.md
+++ /dev/null
@@ -1,110 +0,0 @@
----
-description: >-
-  Return a Tensorflow tensor representation of the DataFrame. Only the values in
-  the DataFrame will be returned, the axes labels will be removed.
----
-
-# DataFrame.tensor
-
-danfo.DataFrame.**tensor** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **tf.tensor**
-
-> **Note:** [Tensorflow](https://js.tensorflow.org/api/latest/#tensor) tensors have single dtype, and will replace any string value with  NaN. Use with care.&#x20;
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "A": [-20, 30, 47.3, -20] ,
-             "B": [34, -4, 5, 6] ,
-             "C": [20, 20, 30, 30]}
-             
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-Tensor
-    [[-20       , 34, 20],
-     [30        , -4, 20],
-     [47.2999992, 5 , 30],
-     [-20       , 6 , 30]]
-```
-{% endtab %}
-{% endtabs %}
-
-String values in a Tensor are represented as NaN, so ensure to transform them before working with tensor representations.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { "Abs": [20.2, 30, 47.3] ,
-             "Count": [34, 5, 6] ,
-             "country code": ["NG", "FR", "GH"] }
-
-
-let df = new dfd.DataFrame(data)
-let tf_tensor = df.tensor
-
-console.log(tf_tensor.dtype);
-
-console.log(tf_tensor);
-
-tf_tensor.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32 
-
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 3, 3 ],
-  dtype: 'float32',
-  size: 9,
-  strides: [ 3 ],
-  dataId: {},
-  id: 0,
-  rankType: '2'
-}
-
-Tensor
-    [[20.2000008, 34, NaN],
-     [30        , 4 , NaN],
-     [47.2999992, 5 , NaN]]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_csv.md b/api-reference-v1-stable/dataframe/dataframe.to_csv.md
deleted file mode 100644
index 8e84e9a..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_csv.md
+++ /dev/null
@@ -1,114 +0,0 @@
----
-description: Convert DataFrame data to a comma-separated values (csv)
----
-
-# DataFrame.to\_csv
-
-DataFrame.**to\_csv**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
-
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ---------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-***
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = df.to_csv({ download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in browser
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_csv({ fileName: "testOut.csv", download: true});
-```
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_excel.md b/api-reference-v1-stable/dataframe/dataframe.to_excel.md
deleted file mode 100644
index 4adf437..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_excel.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# DataFrame.to_excel
-
-> DataFrame.**to_excel**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type              | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ----------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| **options**    |  object, optional | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in a browser
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_excel({ fileName: "testOut.xlsx"});
-```
diff --git a/api-reference-v1-stable/dataframe/dataframe.to_json.md b/api-reference-v1-stable/dataframe/dataframe.to_json.md
deleted file mode 100644
index 326f422..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.to_json.md
+++ /dev/null
@@ -1,127 +0,0 @@
----
-description: Convert DataFrame to JSON format
----
-
-# DataFrame.to\_json
-
-> DataFrame.**to\_json**(options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
-| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
-| **options**    | object, optional | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = df.to_json({ download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = df.to_json({
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-df.to_json({ fileName: "test_out.json" });
-```
diff --git a/api-reference-v1-stable/dataframe/dataframe.values.md b/api-reference-v1-stable/dataframe/dataframe.values.md
deleted file mode 100644
index 598e395..0000000
--- a/api-reference-v1-stable/dataframe/dataframe.values.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Return a the JavaScript array representation of the DataFrame.
----
-
-# DataFrame.values
-
-danfo.DataFrame.**values** \[[source](https://github.com/opensource9ja/danfojs/blob/eb5919d2cac34271fc3b725fa24aa3ad4eacde37/danfojs/src/core/generic.js#L290)]
-
-**Returns:**
-
-&#x20;      ****       return **Array**
-
-**Note:** To get the [Tensorflow](https://js.tensorflow.org) tensor backing the DataFrame, you can call the **.**[**tensor**](dataframe.tensor.md) property on the DataFrame. &#x20;
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {"A": [-20.1, 30, 47.3, -20],
-            "B": [34, -4, 5, 6], 
-            "C": [20, -20, 30, -40]}
-            
-let df = new dfd.DataFrame(data)
-
-console.log(df.values)
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  [ -20.1, 34, 20 ],
-  [ 30, -4, -20 ],
-  [ 47.3, 5, 30 ],
-  [ -20, 6, -40 ]
-]
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/general-functions/README.md b/api-reference-v1-stable/general-functions/README.md
deleted file mode 100644
index 07815b0..0000000
--- a/api-reference-v1-stable/general-functions/README.md
+++ /dev/null
@@ -1,27 +0,0 @@
----
-description: Top level functions that can be called from the Danfo namespace
----
-
-# General Functions
-
-### Data manipulations
-
-|                                       |                                                                                                 |
-| ------------------------------------- | ----------------------------------------------------------------------------------------------- |
-| [`merge`](danfo.merge.md)             | Merge DataFrame or named Series objects with a database-style join.                             |
-| [`concat`](danfo.concat.md)           | Concatenate danfo objects along a particular axis with optional set logic along the other axes. |
-| [`get_dummies`](danfo.get_dummies.md) | Convert categorical variable into dummy/indicator variables. Similar to OneHotEncoding          |
-
-### Data Processing/Normalization
-
-| [LabelEncoder](danfo.labelencoder.md)     | Encode target labels with value between 0 and n_classes-1.             |
-| ----------------------------------------- | ---------------------------------------------------------------------- |
-| [OneHotEncoder](danfo.onehotencoder.md)   | Encode categorical features as a one-hot numeric array.                |
-| [StandardScaler](danfo.standardscaler.md) | Standardize features by removing the mean and scaling to unit variance |
-| [`MinMaxScaler`](danfo.minmaxscaler.md)   | Transform features by scaling each feature to a given range            |
-
-### Top-level dealing with datetime
-
-| [`toDateTime`](danfo.to_datetime.md) | Convert argument to datetime.           |
-| ------------------------------------ | --------------------------------------- |
-| [`date_range`](danfo.date_range.md)  | Return a fixed frequency DatetimeIndex. |
diff --git a/api-reference-v1-stable/general-functions/danfo.concat.md b/api-reference-v1-stable/general-functions/danfo.concat.md
deleted file mode 100644
index e248f46..0000000
--- a/api-reference-v1-stable/general-functions/danfo.concat.md
+++ /dev/null
@@ -1,187 +0,0 @@
----
-description: Concatenate DataFrames and Series along an axis
----
-
-# danfo.concat
-
-danfo.**concat**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                | Default       |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------- |
-| **kwargs** | Object | <p>{</p><p><strong>df_list</strong>: List of DataFrames or Series to concatenate together.</p><p><strong>axis</strong>: One of  0 or 1. The axis on which to perform concatenation. Specified axis must align in both Objects </p><p>}</p> | {**axis**: 1} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Concatenate two DataFrames along column axis (1)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 1 })
-com_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ ...               │ Key1_2            │ Key2_2            │ A_2               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ ...               │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ ...               │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ ...               │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ ...               │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two DataFrames along row axis (0)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Concatenate two Series along row axis (0)**&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-
-
-let com_df = dfd.concat({ df_list: [df1, df2], axis: 0 })
-com_df.print(10)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K0                │ k0                │ C0                │ NaN               │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ K1                │ K0                │ C1                │ NaN               │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ K1                │ K0                │ C2                │ NaN               │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ K2                │ K0                │ C3                │ NaN               │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
diff --git a/api-reference-v1-stable/general-functions/danfo.date_range.md b/api-reference-v1-stable/general-functions/danfo.date_range.md
deleted file mode 100644
index 9c4a337..0000000
--- a/api-reference-v1-stable/general-functions/danfo.date_range.md
+++ /dev/null
@@ -1,111 +0,0 @@
----
-description: Return a fixed frequency Dates spread between start and end parameters.
----
-
-# danfo.date\_range
-
-danfo.**date\_range**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                       | Default         |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------- |
-| **kwargs** | Object | <p>{</p><p><strong>start</strong>:  str or datetime-like. Left bound for generating dates.</p><p><strong>end</strong>: str or datetime-like. Right bound for generating dates.</p><p><strong>period</strong> : int. Number of periods to generate.</p><p><strong>freq</strong>: str or DateOffset, one of ["M","D","s","H","m","Y"]. </p><p>}</p> | {**freq:** 'D'} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-    <script src="https://cdn.jsdelivr.net/gh/opensource9ja/danfojs@latest/lib/bundle.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        let data = new dfd.date_range({"start":'1/1/2018',period:5, freq:'M'})
-        console.log(data);
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '2/1/2018, 12:00:00 AM',
-  '3/1/2018, 12:00:00 AM',
-  '4/1/2018, 12:00:00 AM',
-  '5/1/2018, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'Y'})
-console.log(data);
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[
-  '1/1/2018, 12:00:00 AM',
-  '1/1/2019, 12:00:00 AM',
-  '1/1/2020, 12:00:00 AM',
-  '1/1/2021, 12:00:00 AM',
-  '1/1/2022, 12:00:00 AM',
-  '1/1/2023, 12:00:00 AM',
-  '1/1/2024, 12:00:00 AM',
-  '1/1/2025, 12:00:00 AM',
-  '1/1/2026, 12:00:00 AM',
-  '1/1/2027, 12:00:00 AM',
-  '1/1/2028, 12:00:00 AM',
-  '1/1/2029, 12:00:00 AM'
-]
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-datetime properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.get_dummies.md b/api-reference-v1-stable/general-functions/danfo.get_dummies.md
deleted file mode 100644
index e53fd81..0000000
--- a/api-reference-v1-stable/general-functions/danfo.get_dummies.md
+++ /dev/null
@@ -1,188 +0,0 @@
----
-description: Convert categorical variable into dummy/indicator variables.
----
-
-# danfo.get\_dummies
-
-danfo.**get\_dummies**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters  | Type                | Description                                                                                                                                                                                                                                                                                               | Default                     |
-| ----------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
-| data        | Series or Dataframe | The data to dummify                                                                                                                                                                                                                                                                                       |                             |
-| **options** | Object              | <p>{</p><p><strong>columns</strong>:  Array of column names to dummify. If not specified, all categorical columns are encoded.</p><p><strong>prefixSeparator</strong>: String separator for created columns e.g "_",</p><p><strong>prefix</strong>: String | Array of String, of column names</p><p>}</p> | {**prefixSeparator**: "\_"} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let datasf = ['pear', 'mango', "pawpaw", "mango", "bean"]
-let sf1 = new dfd.Series(datasf)
-
-let dum_df = dfd.get_dummies(sf1, { prefix: "fruit" })
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ fruit_pear        │ fruit_mango       │ fruit_pawpaw      │ fruit_bean        ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert all categorical columns in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df)
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ fruits_pear       │ fruits_mango      │ ...               │ fruits_bean       │ Country_NG        │ Country_GH        │ Country_RU        ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ 1                 │ 0                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ 0                 │ 1                 │ ...               │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ 0                 │ 0                 │ ...               │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ 0                 │ 1                 │ ...               │ 0                 │ 0                 │ 0                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ 0                 │ 0                 │ ...               │ 1                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Convert a specific column in a DataFrame to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-let dum_df = dfd.get_dummies(df, { columns: ['fruits']})
-dum_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ fruits            │ Count             │ Country           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ pear              │ 20                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ mango             │ 30                │ NG                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ pawpaw            │ 89                │ GH                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ mango             │ 12                │ RU                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bean              │ 30                │ RU                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //after dummification
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Count             │ Country           │ fruits_pear       │ fruits_mango      │ fruits_pawpaw     │ fruits_bean       ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 20                │ NG                │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 30                │ NG                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 89                │ GH                │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 12                │ RU                │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 30                │ RU                │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [LabelEncoder](danfo.labelencoder.md) and [OneHotEncoder](danfo.onehotencoder.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.labelencoder.md b/api-reference-v1-stable/general-functions/danfo.labelencoder.md
deleted file mode 100644
index b0745a8..0000000
--- a/api-reference-v1-stable/general-functions/danfo.labelencoder.md
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Encode target labels with value between 0 and n_classes-1.
----
-
-# danfo.LabelEncoder
-
-class danfo.**LabelEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the LabelEncoder class for encoding Series and Arrays to integer between 0 and n\_classes -1. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
-
-The API is similar to sklearn's [LabelEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html?highlight=labelencoder#sklearn.preprocessing.LabelEncoder), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### **Label Encode values in a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = ["dog","cat","man","dog","cat","man","man","cat"]
-let series = new dfd.Series(data)
-
-let encode = new dfd.LabelEncoder()
-
-encode.fit(series)
-console.log(encode);
-
-let sf_enc = encode.transform(series.values)
-sf_enc.print()
-
-let new_sf = encode.transform(["dog","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'dog', 'cat', 'man' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╟───┼──────────────────────╢
-║ 5 │ 2                    ║
-╟───┼──────────────────────╢
-║ 6 │ 2                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with -1**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.LabelEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","man"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-LabelEncoder { label: [ 'pear', 'mango', 'pawpaw', 'bean' ] }
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [OneHotEncoder](danfo.onehotencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.merge.md b/api-reference-v1-stable/general-functions/danfo.merge.md
deleted file mode 100644
index 0c4b760..0000000
--- a/api-reference-v1-stable/general-functions/danfo.merge.md
+++ /dev/null
@@ -1,453 +0,0 @@
----
-description: >-
-  Merge DataFrame or named Series objects with a database-style join.The join is
-  done on columns or indexes.
----
-
-# danfo.merge
-
-danfo.**merge**(kwargs) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default          |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------- |
-| **kwargs** | Object | <p>{</p><p><strong>left</strong>:  A DataFrame or named Series object.</p><p><strong>right</strong>:  Another DataFrame or named Series object.</p><p><strong>on</strong>: Column names to join on. Must be found in both the left and right DataFrame and/or Series objects. </p><p><strong>how</strong>: One of <code>'left','right'</code>,<code>'outer'</code>, <code>'inner'</code>. Defaults to 'inner' </p><p>}</p> | {**how**: inner} |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-**danfo.js**  merge function is similar to Pandas merge and performs in-memory join operations idiomatically very similar to relational databases like SQL.
-
-danfo.js provides a single function, [`merge()`](danfo.merge.md), as the entry point for all standard database join operations between `DataFrame` or named `Series` objects.
-
-For a more intuitive understanding, this [guide](https://pandas.pydata.org/pandas-docs/stable/user\_guide/merging.html#brief-primer-on-merge-methods-relational-algebra) on the [Pandas](https://pandas.pydata.org/pandas-docs/stable) doc is worth reading.
-
-### **Merging by a single key found in both axis**
-
-By default, danfo performs _**inner**_ join. An inner join requires each row in the two joined DataFrames to have matching column values. This is similar to the **intersection** of two sets. It returns a DataFrame with only those rows that have common characteristics.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ "left": df1, "right": df2, "on": ["Key1"]})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- //first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on column 'Key1'
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### **Inner Join/Merge by multiple keys found in both axis**
-
-Merging by two keys takes into consideration the keys appearing in both`left` and `right DataFrame.`
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", 'Key2'], how: "inner"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //After inner join on two keys
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-The how parameter takes other types of joins like left, right and outer join and these are  similar to their SQL equivalent
-
-### Outer join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1"], how: "outer"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//First DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //Second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//After outer join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ Key2_1            │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Left join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "left"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- After left join
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                │ NaN               │ NaN               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ K2                │ K2                │ A3                │ B3                │ NaN               │ NaN               ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Right join/merge on DataFrame
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data = [['K0', 'k0', 'A0', 'B0'], ['k0', 'K1', 'A1', 'B1'],
-            ['K1', 'K0', 'A2', 'B2'], ['K2', 'K2', 'A3', 'B3']]
-
-let data2 = [['K0', 'k0', 'C0', 'D0'], ['K1', 'K0', 'C1', 'D1'],
-            ['K1', 'K0', 'C2', 'D2'], ['K2', 'K0', 'C3', 'D3']]
-
-let colum1 = ['Key1', 'Key2', 'A', 'B']
-let colum2 = ['Key1', 'Key2', 'A', 'D']
-
-let df1 = new dfd.DataFrame(data, { columns: colum1 })
-let df2 = new dfd.DataFrame(data2, { columns: colum2 })
-df1.print()
-df2.print()
-
-let merge_df = dfd.merge({ left: df1, right: df2, 
-                            on: ["Key1", "Key2"], how: "right"})
-merge_df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-//first DataFrame
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ k0                │ K1                │ A1                │ B1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K2                │ A3                │ B3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- //second DataFrame
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
-//after right join
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ Key1              │ Key2              │ A                 │ B                 │ A_1               │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ K0                │ k0                │ A0                │ B0                │ C0                │ D0                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ K1                │ K0                │ A2                │ B2                │ C1                │ D1                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ K1                │ K0                │ A2                │ B2                │ C2                │ D2                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ K2                │ K0                │ NaN               │ NaN               │ C3                │ D3                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-See also [danfo.concat ](danfo.concat.md)for joining objects based on axis.
-{% endhint %}
diff --git a/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md b/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
deleted file mode 100644
index d58af8b..0000000
--- a/api-reference-v1-stable/general-functions/danfo.minmaxscaler.md
+++ /dev/null
@@ -1,125 +0,0 @@
----
-description: Transform features by scaling each feature to a range of max and min values.
----
-
-# danfo.MinMaxScaler
-
-class danfo.**MinMaxScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the MinMaxScaler class for standardization of DataFrame and Series. This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.
-
-This transformation is often used as an alternative to zero mean, unit variance scaling like [Standardscaler](danfo.standardscaler.md).
-
-The API is similar to sklearn's [MinMaxScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html?highlight=minmaxscaler#sklearn.preprocessing.MinMaxScaler), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### Standardize DataFrame Object using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 1                 │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0.19191919267...  │ 0.02902902849...  │ 0.00950475223...  │ 0.00333333341...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize Series Object Using MinMaxScaler
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.MinMaxScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 20, 10],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-let sf = df.iloc({columns: ["0"]})
-
-scaler.fit(sf)
-
-let df_enc = scaler.transform(sf)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
- Shape: (3,1) 
-
-╔═══╤═══════════════════╗
-║   │ 0                 ║
-╟───┼───────────────────╢
-║ 0 │ 1                 ║
-╟───┼───────────────────╢
-║ 1 │ 0.19191919267...  ║
-╟───┼───────────────────╢
-║ 2 │ 0                 ║
-╚═══╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.onehotencoder.md b/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
deleted file mode 100644
index 81c913d..0000000
--- a/api-reference-v1-stable/general-functions/danfo.onehotencoder.md
+++ /dev/null
@@ -1,148 +0,0 @@
----
-description: Encode categorical features as a one-hot numeric array.
----
-
-# danfo.OneHotEncoder
-
-class danfo.**OneHotEncoder** \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/preprocessing/encodings.js#L6)]
-
-danfo.js provides the OneHotEncoder class for encoding values in Series and Arrays to one-hot numeric arrays. This is mostly used as a preprocessing step before most machine learning tasks.&#x20;
-
-The API is similar to scikit-learn's [OneHotEncoder](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html?highlight=onehotencoder#sklearn.preprocessing.OneHotEncoder), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### **Convert Series to Dummy codes**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"],
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","bean"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-**Labels not found in the original data used for fitting are represented with 0s all through**
-{% endhint %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = { fruits: ['pear', 'mango', "pawpaw", "mango", "bean"] ,
-            Count: [20, 30, 89, 12, 30],
-            Country: ["NG", "NG", "GH", "RU", "RU"]}
-
-
-let df = new dfd.DataFrame(data)
-let encode = new dfd.OneHotEncoder()
-
-encode.fit(df['fruits'])
-console.log(encode);
-
-let sf_enc = encode.transform(df['fruits'].values)
-sf_enc.print()
-
-let new_sf = encode.transform(["mango","woman", "cup"])
-new_sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 1                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 1                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ 0                 │ 0                 │ 0                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ pear              │ mango             │ pawpaw            │ bean              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 0                 │ 1                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 0                 │ 0                 │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-See also [LabelEncoder](danfo.labelencoder.md) and[ danfo.get\_dummies](danfo.get\_dummies.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.standardscaler.md b/api-reference-v1-stable/general-functions/danfo.standardscaler.md
deleted file mode 100644
index 89ce861..0000000
--- a/api-reference-v1-stable/general-functions/danfo.standardscaler.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: Standardize features by removing the mean and scaling to unit variance.
----
-
-# danfo.StandardScaler
-
-class danfo.**StandScaler** \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample `x` is calculated as:
-
-> z = (x - u) / s
-
-where `u` is the mean of the training samples or zero if `with_mean=False`, and `s` is the standard deviation of the training samples or one if `with_std=False`.
-
-The API is similar to sklearn's [StandardScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html?highlight=standardscaler#sklearn.preprocessing.StandardScaler), and provides a fit and transform method.&#x20;
-
-## **Examples**
-
-### Standardize Series Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let scaler = new dfd.StandardScaler()
-
-let sf = new dfd.Series([100,1000,2000, 3000])
-sf.print()
-
-scaler.fit(sf)
-
-let sf_enc = scaler.transform(sf)
-sf_enc.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 100                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1000                 ║
-╟───┼──────────────────────╢
-║ 2 │ 2000                 ║
-╟───┼──────────────────────╢
-║ 3 │ 3000                 ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1.1375757455825806  ║
-╟───┼──────────────────────╢
-║ 1 │ -0.4191068708896637  ║
-╟───┼──────────────────────╢
-║ 2 │ 0.37919193506240845  ║
-╟───┼──────────────────────╢
-║ 3 │ 1.1774907112121582   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Standardize DataFrame Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let scaler = new dfd.StandardScaler()
-
-let data = [[100,1000,2000, 3000] ,
-            [20, 30, 89, 12],
-            [1, 1, 1, 0]]
-
-let df = new dfd.DataFrame(data)
-df.print()
-
-scaler.fit(df)
-
-let df_enc = scaler.transform(df)
-df_enc.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ 100               │ 1000              │ 2000              │ 3000              ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ 20                │ 30                │ 20                │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ 1                 │ 1                 │ 1                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ 0                 │ 1                 │ 2                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ -0.4185734987...  │ 0.48862975835...  │ 1.49663341045...  │ 2.50463700294...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ -0.4992137849...  │ -0.4891337454319  │ -0.4992137849...  │ -0.5092938542...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ -0.5183658599...  │ -0.5183658599...  │ -0.5183658599...  │ -0.5193738341...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-See also [MinMaxScaler](danfo.minmaxscaler.md)
diff --git a/api-reference-v1-stable/general-functions/danfo.to_datetime.md b/api-reference-v1-stable/general-functions/danfo.to_datetime.md
deleted file mode 100644
index 7012100..0000000
--- a/api-reference-v1-stable/general-functions/danfo.to_datetime.md
+++ /dev/null
@@ -1,141 +0,0 @@
----
-description: Converts an array of Date time string to Date object.
----
-
-# danfo.toDateTime
-
-danfo.**toDateTime**(data) \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type          | Description                                                                                                       | Default |
-| ---------- | ------------- | ----------------------------------------------------------------------------------------------------------------- | ------- |
-| **data**   | Array, Series | <p><strong>data</strong>:  Array | Series with Date strings to convert to Date time. </p><p><strong></strong></p> |         |
-
-**Returns:**
-
-&#x20;      ****       return **DataFrame**
-
-## **Examples**
-
-Converts a **Series** of Date strings to Date time and get time properties
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = new dfd.date_range({"start":'1/1/2018',period:12, freq:'M'})
-let sf = new dfd.Series(data)
-sf.print()
-
-let dt = dfd.toDateTime(data)
-
-dt.month().print()
-dt.month_name().print()
-dt.weekdays().print()
-dt.day().print()
-dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-  0
-0	1/1/2018, 12:00:00 AM
-1	2/1/2018, 12:00:00 AM
-2	3/1/2018, 12:00:00 AM
-3	4/1/2018, 12:00:00 AM
-4	5/1/2018, 12:00:00 AM
-5	6/1/2018, 12:00:00 AM
-6	7/1/2018, 12:00:00 AM
-7	8/1/2018, 12:00:00 AM
-8	9/1/2018, 12:00:00 AM
-9	10/1/2018, 12:00:00 AM
-10	11/1/2018, 12:00:00 AM
-11	12/1/2018, 12:00:00 AM
-
-//Int representation for month
-	0
-0	0
-1	1
-2	2
-3	3
-4	4
-5	5
-6	6
-7	7
-8	8
-9	9
-10	10
-11	11
-
-//string representation for month
-0
-0	Jan
-1	Feb
-2	Mar
-3	Apr
-4	May
-5	Jun
-6	Jul
-7	Aug
-8	Sep
-9	Oct
-10	Nov
-11	Dec
-
-//string representation for day of the week
-0
-0	Mon
-1	Thur
-2	Thur
-3	Sun
-4	Tue
-5	Fri
-6	Sun
-7	Wed
-8	Sat
-9	Mon
-10	Thur
-11	Sat
-
-0
-0	1
-1	4
-2	4
-3	0
-4	2
-5	5
-6	0
-7	3
-8	6
-9	1
-10	4
-11	6
-
-//Hour of the day
-0
-0	0
-1	0
-2	0
-3	0
-4	0
-5	0
-6	0
-7	0
-8	0
-9	0
-10	0
-11	0
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Date time properties of Series or datetime-like columns in DataFrame can be accessed via accessors in the **dt** name-space. See  [Accessors](https://app.gitbook.com/@jsdata/s/danfojs/\~/drafts/-MEMaWwva1cjt8CxnG-b/api-reference/series#accessors)
-{% endhint %}
diff --git a/api-reference-v1-stable/groupby.md b/api-reference-v1-stable/groupby.md
deleted file mode 100644
index 1db2e52..0000000
--- a/api-reference-v1-stable/groupby.md
+++ /dev/null
@@ -1,122 +0,0 @@
----
-description: >-
-  GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby(),
-  danfo.Series.groupby()
----
-
-# Groupby
-
-### Indexing, iteration
-
-| [`GroupBy.__iter__`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.__iter__.html#pandas.core.groupby.GroupBy.__iter__)\(\) | Groupby iterator. |
-| :--- | :--- |
-| [`GroupBy.groups`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.groups.html#pandas.core.groupby.GroupBy.groups) | Dict {group name -&gt; group labels}. |
-| [`GroupBy.indices`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.indices.html#pandas.core.groupby.GroupBy.indices) | Dict {group name -&gt; group indices}. |
-| [`GroupBy.get_group`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.get_group.html#pandas.core.groupby.GroupBy.get_group)\(name\[, obj\]\) | Construct DataFrame from group with provided name. |
-
-| [`Grouper`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Grouper.html#pandas.Grouper)\(\*args, \*\*kwargs\) | A Grouper allows the user to specify a groupby instruction for an object. |
-| :--- | :--- |
-
-
-### Function application
-
-| [`GroupBy.apply`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.apply.html#pandas.core.groupby.GroupBy.apply)\(func, \*args, \*\*kwargs\) | Apply function func group-wise and combine the results together. |
-| :--- | :--- |
-| [`GroupBy.agg`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.agg.html#pandas.core.groupby.GroupBy.agg)\(func, \*args, \*\*kwargs\) |  |
-| [`SeriesGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.aggregate.html#pandas.core.groupby.SeriesGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`DataFrameGroupBy.aggregate`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.aggregate.html#pandas.core.groupby.DataFrameGroupBy.aggregate)\(\[func, engine, …\]\) | Aggregate using one or more operations over the specified axis. |
-| [`SeriesGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.transform.html#pandas.core.groupby.SeriesGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed Series on each group and return a Series having the same indexes as the original object filled with the transformed values |
-| [`DataFrameGroupBy.transform`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.transform.html#pandas.core.groupby.DataFrameGroupBy.transform)\(func, \*args\[, …\]\) | Call function producing a like-indexed DataFrame on each group and return a DataFrame having the same indexes as the original object filled with the transformed values |
-| [`GroupBy.pipe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pipe.html#pandas.core.groupby.GroupBy.pipe)\(func, \*args, \*\*kwargs\) | Apply a function func with arguments to this GroupBy object and return the function’s result. |
-
-### Computations / descriptive stats
-
-| [`GroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.all.html#pandas.core.groupby.GroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`GroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.any.html#pandas.core.groupby.GroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
-| [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
-| [`GroupBy.last`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.last.html#pandas.core.groupby.GroupBy.last)\(\[numeric\_only, min\_count\]\) | Compute last of group values. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max)\(\[numeric\_only, min\_count\]\) | Compute max of group values. |
-| [`GroupBy.mean`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.mean.html#pandas.core.groupby.GroupBy.mean)\(\[numeric\_only\]\) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.median`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.median.html#pandas.core.groupby.GroupBy.median)\(\[numeric\_only\]\) | Compute median of groups, excluding missing values. |
-| [`GroupBy.min`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.min.html#pandas.core.groupby.GroupBy.min)\(\[numeric\_only, min\_count\]\) | Compute min of group values. |
-| [`GroupBy.ngroup`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ngroup.html#pandas.core.groupby.GroupBy.ngroup)\(\[ascending\]\) | Number each group from 0 to the number of groups - 1. |
-| [`GroupBy.nth`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.nth.html#pandas.core.groupby.GroupBy.nth)\(n\[, dropna\]\) | Take the nth row from each group if n is an int, or a subset of rows if n is a list of ints. |
-| [`GroupBy.ohlc`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ohlc.html#pandas.core.groupby.GroupBy.ohlc)\(\) | Compute open, high, low and close values of a group, excluding missing values. |
-| [`GroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pad.html#pandas.core.groupby.GroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`GroupBy.prod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.prod.html#pandas.core.groupby.GroupBy.prod)\(\[numeric\_only, min\_count\]\) | Compute prod of group values. |
-| [`GroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.rank.html#pandas.core.groupby.GroupBy.rank)\(\[method, ascending, na\_option, …\]\) | Provide the rank of values within each group. |
-| [`GroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.pct_change.html#pandas.core.groupby.GroupBy.pct_change)\(\[periods, fill\_method, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`GroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.size.html#pandas.core.groupby.GroupBy.size)\(\) | Compute group sizes. |
-| [`GroupBy.sem`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sem.html#pandas.core.groupby.GroupBy.sem)\(\[ddof\]\) | Compute standard error of the mean of groups, excluding missing values. |
-| [`GroupBy.std`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.std.html#pandas.core.groupby.GroupBy.std)\(\[ddof\]\) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum)\(\[numeric\_only, min\_count\]\) | Compute sum of group values. |
-| [`GroupBy.var`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.var.html#pandas.core.groupby.GroupBy.var)\(\[ddof\]\) | Compute variance of groups, excluding missing values. |
-| [`GroupBy.tail`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.tail.html#pandas.core.groupby.GroupBy.tail)\(\[n\]\) | Return last n rows of each group. |
-
-The following methods are available in both `SeriesGroupBy` and `DataFrameGroupBy` objects, but may differ slightly, usually in that the `DataFrameGroupBy` version usually permits the specification of an axis argument, and often an argument indicating whether to restrict application to columns of a specific data type.
-
-| [`DataFrameGroupBy.all`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.all.html#pandas.core.groupby.DataFrameGroupBy.all)\(\[skipna\]\) | Return True if all values in the group are truthful, else False. |
-| :--- | :--- |
-| [`DataFrameGroupBy.any`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.any.html#pandas.core.groupby.DataFrameGroupBy.any)\(\[skipna\]\) | Return True if any value in the group is truthful, else False. |
-| [`DataFrameGroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.backfill.html#pandas.core.groupby.DataFrameGroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.bfill.html#pandas.core.groupby.DataFrameGroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
-| [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
-| [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
-| [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
-| [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.fillna`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.fillna.html#pandas.core.groupby.DataFrameGroupBy.fillna) | Fill NA/NaN values using the specified method. |
-| [`DataFrameGroupBy.filter`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.filter.html#pandas.core.groupby.DataFrameGroupBy.filter)\(func\[, dropna\]\) | Return a copy of a DataFrame excluding filtered elements. |
-| [`DataFrameGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.hist.html#pandas.core.groupby.DataFrameGroupBy.hist) | Make a histogram of the DataFrame’s. |
-| [`DataFrameGroupBy.idxmax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmax.html#pandas.core.groupby.DataFrameGroupBy.idxmax) | Return index of first occurrence of maximum over requested axis. |
-| [`DataFrameGroupBy.idxmin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.idxmin.html#pandas.core.groupby.DataFrameGroupBy.idxmin) | Return index of first occurrence of minimum over requested axis. |
-| [`DataFrameGroupBy.mad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.mad.html#pandas.core.groupby.DataFrameGroupBy.mad) | Return the mean absolute deviation of the values for the requested axis. |
-| [`DataFrameGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.nunique.html#pandas.core.groupby.DataFrameGroupBy.nunique)\(\[dropna\]\) | Return DataFrame with counts of unique elements in each position. |
-| [`DataFrameGroupBy.pad`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pad.html#pandas.core.groupby.DataFrameGroupBy.pad)\(\[limit\]\) | Forward fill the values. |
-| [`DataFrameGroupBy.pct_change`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.pct_change.html#pandas.core.groupby.DataFrameGroupBy.pct_change)\(\[periods, …\]\) | Calculate pct\_change of each value to previous entry in group. |
-| [`DataFrameGroupBy.plot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.plot.html#pandas.core.groupby.DataFrameGroupBy.plot) | Class implementing the .plot attribute for groupby objects. |
-| [`DataFrameGroupBy.quantile`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.quantile.html#pandas.core.groupby.DataFrameGroupBy.quantile)\(\[q, interpolation\]\) | Return group values at the given quantile, a la numpy.percentile. |
-| [`DataFrameGroupBy.rank`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.rank.html#pandas.core.groupby.DataFrameGroupBy.rank)\(\[method, ascending, …\]\) | Provide the rank of values within each group. |
-| [`DataFrameGroupBy.resample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.resample.html#pandas.core.groupby.DataFrameGroupBy.resample)\(rule, \*args, \*\*kwargs\) | Provide resampling when using a TimeGrouper. |
-| [`DataFrameGroupBy.sample`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.sample.html#pandas.core.groupby.DataFrameGroupBy.sample)\(\[n, frac, replace, …\]\) | Return a random sample of items from each group. |
-| [`DataFrameGroupBy.shift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.shift.html#pandas.core.groupby.DataFrameGroupBy.shift)\(\[periods, freq, …\]\) | Shift each group by periods observations. |
-| [`DataFrameGroupBy.size`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.size.html#pandas.core.groupby.DataFrameGroupBy.size)\(\) | Compute group sizes. |
-| [`DataFrameGroupBy.skew`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.skew.html#pandas.core.groupby.DataFrameGroupBy.skew) | Return unbiased skew over requested axis. |
-| [`DataFrameGroupBy.take`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.take.html#pandas.core.groupby.DataFrameGroupBy.take) | Return the elements in the given _positional_ indices along an axis. |
-| [`DataFrameGroupBy.tshift`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.tshift.html#pandas.core.groupby.DataFrameGroupBy.tshift) | \(DEPRECATED\) Shift the time index, using the index’s frequency if available. |
-
-The following methods are available only for `SeriesGroupBy` objects.
-
-| [`SeriesGroupBy.hist`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html#pandas.core.groupby.SeriesGroupBy.hist) | Draw histogram of the input series using matplotlib. |
-| :--- | :--- |
-| [`SeriesGroupBy.nlargest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nlargest.html#pandas.core.groupby.SeriesGroupBy.nlargest) | Return the largest n elements. |
-| [`SeriesGroupBy.nsmallest`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nsmallest.html#pandas.core.groupby.SeriesGroupBy.nsmallest) | Return the smallest n elements. |
-| [`SeriesGroupBy.nunique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.nunique.html#pandas.core.groupby.SeriesGroupBy.nunique)\(\[dropna\]\) | Return number of unique elements in the group. |
-| [`SeriesGroupBy.unique`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.unique.html#pandas.core.groupby.SeriesGroupBy.unique) | Return unique values of Series object. |
-| [`SeriesGroupBy.value_counts`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.value_counts.html#pandas.core.groupby.SeriesGroupBy.value_counts)\(\[normalize, …\]\) |  |
-| [`SeriesGroupBy.is_monotonic_increasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing) | Alias for is\_monotonic. |
-| [`SeriesGroupBy.is_monotonic_decreasing`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing.html#pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing) | Return boolean if values in the object are monotonic\_decreasing. |
-
-The following methods are available only for `DataFrameGroupBy` objects.
-
-| [`DataFrameGroupBy.corrwith`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corrwith.html#pandas.core.groupby.DataFrameGroupBy.corrwith) | Compute pairwise correlation. |
-| :--- | :--- |
-| [`DataFrameGroupBy.boxplot`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.boxplot.html#pandas.core.groupby.DataFrameGroupBy.boxplot)\(\[subplots, column, …\]\) | Make box plots from DataFrameGroupBy data. |
-
diff --git a/api-reference-v1-stable/groupby/README.md b/api-reference-v1-stable/groupby/README.md
deleted file mode 100644
index 9a1db65..0000000
--- a/api-reference-v1-stable/groupby/README.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.groupby()'
----
-
-# Groupby
-
-### Indexing, iteration
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
-
-### Function application
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.agg`](groupby.agg.md) | Aggregate using one or more operations over the specified axis. |
-
-### Computations / descriptive stats
-
-|  |  |
-| :--- | :--- |
-| [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
-| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
-| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
-| [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
-| [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
-| [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
-| [`GroupBy.std`](groupby.std.md) | Compute standard deviation of groups, excluding missing values. |
-| [`GroupBy.sum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.sum.html#pandas.core.groupby.GroupBy.sum) | Compute sum of group values. |
-| [`GroupBy.var`](groupby.var.md) | Compute variance of groups, excluding missing values. |
-
diff --git a/api-reference-v1-stable/groupby/groupby.agg.md b/api-reference-v1-stable/groupby/groupby.agg.md
deleted file mode 100644
index fae8802..0000000
--- a/api-reference-v1-stable/groupby/groupby.agg.md
+++ /dev/null
@@ -1,93 +0,0 @@
----
-description: Obtain data aggregate per groups for each column
----
-
-# Groupby.agg
-
-> danfo.Groupby.**agg**(kwargs)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L349)]
-
-| Parameters | Type   | Description                                                                                               | Default |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
-| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
-
-**Return:** DataFrame
-
-**Examples**
-
-Using mean and sum aggregate
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Mean and Sum aggregate on dataframe groupby two column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.agg({"C":"mean","D":"sum"}).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/groupby/groupby.apply.md b/api-reference-v1-stable/groupby/groupby.apply.md
deleted file mode 100644
index 2150a21..0000000
--- a/api-reference-v1-stable/groupby/groupby.apply.md
+++ /dev/null
@@ -1,84 +0,0 @@
----
-description: Apply custom aggregate function to grouped data
----
-
-# Groupby.apply
-
-danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function \| function to be applied to grouped data | Undefined |  |
-
-**Returns:**
-
-       ****return **DataFrame**
-
-## **Examples**
-
-Using apply to create a custom function that subtract the minimum value of each grouped data from each of its values
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-      'A': ['foo', 'bar', 'foo', 'bar',
-
-        'foo', 'bar', 'foo', 'foo'],
-
-      'B': ['one', 'one', 'two', 'three',
-
-        'two', 'two', 'one', 'three'],
-
-      'C': [1, 3, 2, 4, 5, 2, 6, 7],
-
-      'D': [3, 2, 4, 1, 5, 6, 7, 8]
-    };
-let df = new dfd.DataFrame(data);
-let group_df = df.groupby(["A", "B"]);
-
-const subMin = (x) => {
-  return x.sub(x.min());
-};
-
-group_df.apply(subMin).print();
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_apply           │ D_apply           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 5                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 3                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-\*\*\*\*
diff --git a/api-reference-v1-stable/groupby/groupby.col.md b/api-reference-v1-stable/groupby/groupby.col.md
deleted file mode 100644
index 02e7cdd..0000000
--- a/api-reference-v1-stable/groupby/groupby.col.md
+++ /dev/null
@@ -1,105 +0,0 @@
----
-description: Obtain the column(s) per groups
----
-
-# Groupby.col
-
-> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| col\_names | Array | List of column |  |
-
-Returns: Groupby Data structure
-
-Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
-
-**Examples**
-
-Obtain a column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"])
-
-//for more coumns
-grp.col(["C","D"])
-```
-{% endtab %}
-{% endtabs %}
-
-Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
-
-```text
-//it returns the groupby data structure
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: {
-    foo: [ [Array], [Array], [Array], [Array], [Array] ],
-    bar: [ [Array], [Array], [Array] ]
-  },
-  data: [
-    [ 'foo', 'one', 1, 3 ],
-    [ 'bar', 'one', 3, 2 ],
-    [ 'foo', 'two', 2, 4 ],
-    [ 'bar', 'three', 4, 1 ],
-    [ 'foo', 'two', 5, 5 ],
-    [ 'bar', 'two', 2, 6 ],
-    [ 'foo', 'one', 6, 7 ],
-    [ 'foo', 'three', 7, 8 ]
-  ],
-  column_name: [ 'A', 'B', 'C', 'D' ],
-  data_tensors: {
-    foo: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    },
-    bar: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    }
-  },
-  group_col_name: [ 'C' ],
-  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
-}
-```
-
-
-
diff --git a/api-reference-v1-stable/groupby/groupby.count.md b/api-reference-v1-stable/groupby/groupby.count.md
deleted file mode 100644
index 36733be..0000000
--- a/api-reference-v1-stable/groupby/groupby.count.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Count the occurrence of values in columns per groups
----
-
-# Groupby.count
-
-> danfo.Groupby.count()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L249)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).count().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).count().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.cummax.md b/api-reference-v1-stable/groupby/groupby.cummax.md
deleted file mode 100644
index 8231a61..0000000
--- a/api-reference-v1-stable/groupby/groupby.cummax.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative max per groups for each column
----
-
-# Groupby.cummax
-
-> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative max of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 4                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummax          │ D_cummax          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 4                 │ 6                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 4                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 4                 │ 6                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummax for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummax          │ D_cummax          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cummin.md b/api-reference-v1-stable/groupby/groupby.cummin.md
deleted file mode 100644
index 7fd9ed6..0000000
--- a/api-reference-v1-stable/groupby/groupby.cummin.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cummulative minimum per groups for each column
----
-
-# Groupby.cummin
-
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative min of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummin          │ D_cummin          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 2                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 2                 │ 1                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cumprod.md b/api-reference-v1-stable/groupby/groupby.cumprod.md
deleted file mode 100644
index af46123..0000000
--- a/api-reference-v1-stable/groupby/groupby.cumprod.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cumulative product per group for each column
----
-
-# Groupby.cumprod
-
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative product of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                │ 420               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               │ 3360              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 24                │ 12                ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 24                │ 12                ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 21                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.cumsum.md b/api-reference-v1-stable/groupby/groupby.cumsum.md
deleted file mode 100644
index 3b2b0e6..0000000
--- a/api-reference-v1-stable/groupby/groupby.cumsum.md
+++ /dev/null
@@ -1,259 +0,0 @@
----
-description: Obtain the cumulative sum per groups for each column
----
-
-# Groupby.cumsum
-
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative sum of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                │ 19                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                │ 27                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 9                 │ 9                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 9                 │ 9                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.get_groups.md b/api-reference-v1-stable/groupby/groupby.get_groups.md
deleted file mode 100644
index 0cdf912..0000000
--- a/api-reference-v1-stable/groupby/groupby.get_groups.md
+++ /dev/null
@@ -1,129 +0,0 @@
----
-description: Obtain the data for each element of the groupby column
----
-
-# Groupby.get\_groups
-
-> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
-
-| Parameters | Type | Description | default |
-| :--- | :--- | :--- | :--- |
-| key | Array | element of the groupby column |  |
-
-**Returns**: DataFrame
-
-**Example**
-
-Group the dataframe by column A and obtain the group belonging to the values in column A
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-
-grp.get_groups(["foo"]).print()
-
-grp.get_groups(["bar"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get groups for key "foo"
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get groups for key "bar"
-
- Shape: (3,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ three             │ 4                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-
-grp.get_groups(["foo","one"]).print()
-
-grp.get_groups(["bar","one"]).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-//get_groups(["foo","one"]
-
-
- Shape: (2,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-//get_groups(["bar","one"])
-
-
- Shape: (1,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C                 │ D                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ bar               │ one               │ 3                 │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference-v1-stable/groupby/groupby.max.md b/api-reference-v1-stable/groupby/groupby.max.md
deleted file mode 100644
index 43470f6..0000000
--- a/api-reference-v1-stable/groupby/groupby.max.md
+++ /dev/null
@@ -1,170 +0,0 @@
----
-description: Obtain the maximum value of columns per groups
----
-
-# Groupby.max
-
-> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
-
-**Parameters:** None
-
-**Returns**: DataFrame
-
-**Example**
-
-Obtain the maximum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 4                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).max().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_max             │ D_max             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 6                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 5                 │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
diff --git a/api-reference-v1-stable/groupby/groupby.mean.md b/api-reference-v1-stable/groupby/groupby.mean.md
deleted file mode 100644
index add6958..0000000
--- a/api-reference-v1-stable/groupby/groupby.mean.md
+++ /dev/null
@@ -1,173 +0,0 @@
----
-description: Obtain the mean per groups for each column(s)
----
-
-# Groupby.mean
-
-> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the mean of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-  Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 5.40000009536...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the mean for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).mean().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_mean            ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 5                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.min.md b/api-reference-v1-stable/groupby/groupby.min.md
deleted file mode 100644
index 0151e64..0000000
--- a/api-reference-v1-stable/groupby/groupby.min.md
+++ /dev/null
@@ -1,171 +0,0 @@
----
-description: Obtain the minimum value per groups for a coumn(s)
----
-
-# Groupby.min
-
-> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the minimum value for a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the minimum value for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 2                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the maximum value for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).min().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.std.md b/api-reference-v1-stable/groupby/groupby.std.md
deleted file mode 100644
index c792a8e..0000000
--- a/api-reference-v1-stable/groupby/groupby.std.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the standard deviation per groups for specified columns
----
-
-# Groupby.std
-
-> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the standard deviation of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 2.58843582110...  │ 2.07364413533...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 2.64575131106...  ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).std().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-    Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the std for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).std().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_std             │ D_std             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.53553390593...  │ 2.82842712474...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2.12132034355...  │ 0.70710678118...  ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.sum.md b/api-reference-v1-stable/groupby/groupby.sum.md
deleted file mode 100644
index f6f2900..0000000
--- a/api-reference-v1-stable/groupby/groupby.sum.md
+++ /dev/null
@@ -1,172 +0,0 @@
----
-description: Obtain the sum per groups for columns
----
-
-# Groupby.sum
-
-> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the sum of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 21                │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 9                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the sum for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).sum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/groupby/groupby.var.md b/api-reference-v1-stable/groupby/groupby.var.md
deleted file mode 100644
index 373109f..0000000
--- a/api-reference-v1-stable/groupby/groupby.var.md
+++ /dev/null
@@ -1,175 +0,0 @@
----
-description: Obtain the variance per groups for a specified column
----
-
-# Groupby.var
-
-> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the variance of a column for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
- Shape: (2,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (2,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 6.7               │ 4.3               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 1                 │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).var().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the var for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).var().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_var             │ D_var             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 12.5              │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 4.5               │ 0.5               ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference-v1-stable/input-output/README.md b/api-reference-v1-stable/input-output/README.md
deleted file mode 100644
index e86d5de..0000000
--- a/api-reference-v1-stable/input-output/README.md
+++ /dev/null
@@ -1,18 +0,0 @@
----
-description: Functions for reading tabular/structured data into DataFrame/Series Objects
----
-
-# Input/Output
-
-## CSV
-
-| \`\`                                |                                                          |
-| ----------------------------------- | -------------------------------------------------------- |
-| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
-| [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
-| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
-| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
-| [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
-| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
-
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference-v1-stable/input-output/danfo.read_csv.md b/api-reference-v1-stable/input-output/danfo.read_csv.md
deleted file mode 100644
index a291533..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_csv.md
+++ /dev/null
@@ -1,134 +0,0 @@
----
-description: >-
-  Reads a comma-separated values (CSV) file into DataFrame. Also supports the
-  reading of CSV files in chunks.
----
-
-# danfo.read\_csv
-
-> danfo.**read\_csv**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)]
-
-|                |                             |                                                                                                                                                                                                                            |                                                                                                                   |
-| -------------- | --------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- |
-| **Parameters** | Type                        | Description                                                                                                                                                                                                                | Default                                                                                                           |
-| _**source**_   | File object, File path, URL | <p>Any valid string path is acceptable. The string could be a URL or a valid local file path.</p><p>A browser <a href="https://developer.mozilla.org/en-US/docs/Web/API/File">input file object</a> is also supported.</p> |                                                                                                                   |
-| **configs**:   | object, optional            | Supports all Papaparse config parameters. See [https://www.papaparse.com/docs#config](https://www.papaparse.com/docs#config).                                                                                              | <p><strong>{</strong></p><p><strong>dynamicTyping:</strong> true,</p><p><strong>header:</strong> true</p><p>}</p> |
-
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_csv** method can read a CSV file from a local disk, or over the internet (URL). Reading of local files is only supported in Nodejs, while reading of input file objects is only supported in the browser.
-
-### **Reading files from local disk**
-
-By specifying a valid file path, you can load CSV files from local disk:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("./user_names.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading files from a URL**
-
-By specifying a valid URL, you can load CSV files from any location into Danfo\*\*'\*\*s data structure:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv") //assumes file is in CWD
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                //do something like display descriptive statistics
-                df.describe().print()
-                
-            }).catch(err => {
-                console.log(err);
-            })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load CSV files in the browser in DataFrames/Series
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const csvFile = inputFile.files[0]
-            dfd.read_csv(csvFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_excel.md b/api-reference-v1-stable/input-output/danfo.read_excel.md
deleted file mode 100644
index 459aa30..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_excel.md
+++ /dev/null
@@ -1,68 +0,0 @@
----
-description: Reads an excel file into DataFrame.
----
-
-# danfo.read_excel
-
-> danfo.**read_excel**(source, configs) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L89)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                      |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| source     | string | **source** : string, URL or local file path to retreive Excel file.                                                                                                                                                                                                                                                                                                                              |
-| configs    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers. </p><p>}</p> |
-
-> **Returns:**
->
-> **       **return** **{**Promise**} DataFrame structure of parsed Excel data
-
-### Example
-
-The **read_excel** method can read excel files saved on a local disk, or over the internet.
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-const path = require("path")
-
-let local_xcel = path.join(process.cwd(), "data", "testexcel.xlxs")
-
-async function load_process_data() {
-    let df = await dfd.read_excel(local_xcel)
-    df.head().print()
-}
-
-load_process_data()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-        const remote_url = 'https://file-examples-com.github.io/uploads/2017/02/file_example_XLS_100.xls';
-        dfd.read_excel(remote_url).then(df => {
-            df.head().print()
-        })
-
-         
-    </script>
-</body>
-
-</html>
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.read_json.md b/api-reference-v1-stable/input-output/danfo.read_json.md
deleted file mode 100644
index 3c17457..0000000
--- a/api-reference-v1-stable/input-output/danfo.read_json.md
+++ /dev/null
@@ -1,127 +0,0 @@
----
-description: Reads a JSON file into DataFrame.
----
-
-# danfo.read\_json
-
-> danfo.**read\_json**(source,) [\[source](https://github.com/opensource9ja/danfojs/blob/849d14c8e7fa79bce4ffa9d0d177639047313520/danfojs/src/io/reader.js#L47)]
-
-|                |                                                    |                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |                                                 |
-| -------------- | -------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- |
-| **Parameters** | Type                                               | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                | Default                                         |
-| _**source**_   | Input file object, string file\*\* \*\*path or URL | <p>Any valid string path is acceptable. The string could be a URL. Valid URL schemes include http, https, ftp, s3, gs, or a local path. Both relative and absolute paths are supported</p><p>An input file object is also supported in the browser.</p>                                                                                                                                                                                                                    |                                                 |
-| options        | Object                                             | <p>Configuration options for reading JSON files. Supported options:</p><p>{<br><code>method</code>: The HTTP method to use.</p><p><code>headers</code>: Additional headers to send with the request if reading JSON from remote url. Supports all the <a href="https://github.com/node-fetch/node-fetch#options">node-fetch options</a> in Nodejs, and all <a href="https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API">fetch options</a> in browsers.</p><p>}</p> | <p>{<br><strong>method</strong>: "GET"<br>}</p> |
-
-**Returns:**
-
-\*\* \*\*_**Promise**_. Resolves to DataFrame
-
-The **read\_json** method can read JSON files from a local disk, over the internet, or directly from input file objects.
-
-### **Reading JSON files from local disk**
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("./user_names.json")
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading JSON files from a URL**
-
-By specifying a valid URL, you can load JSON files from any location:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-  .then(df => {
-  
-   df.head().print()
-
-  }).catch(err=>{
-     console.log(err);
-  })
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-     
-     dfd.read_json("https://raw.githubusercontentdatasets/master/finance-charts-apple.json") 
-       .then(df => {
-       
-        df.head().print()
-     
-       }).catch(err=>{
-          console.log(err);
-       })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### **Reading an input file object in the browser**
-
-By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load a JSON file in the browser:
-
-{% tabs %}
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-    <input type="file" id="file" name="file">
-    <script>
-            
-        inputFile.addEventListener("change", async () => {
-            const jsonFile = inputFile.files[0]
-            dfd.read_json(jsonFile).then((df) => {
-                df.print()
-            })
-        })
-         
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/input-output/danfo.to_csv.md b/api-reference-v1-stable/input-output/danfo.to_csv.md
deleted file mode 100644
index c3403cf..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_csv.md
+++ /dev/null
@@ -1,115 +0,0 @@
----
-description: Writes a DataFrame or Series to CSV format.
----
-
-# danfo.to\_csv
-
-> danfo.**to\_csv**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.csv.js#L106)]
-
-|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |                                                                                    |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- |
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                            |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                    |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p>}</p> | <p>{<br><strong>download</strong>: true,<br><strong>sep</strong>: ","<br><br>}</p> |
-
-The **to\_csv** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
-
-### Convert DataFrame to CSV string and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const csv = dfd.to_csv(df, { download: false });
-console.log(csv);
-
-//output
-Abs,Count,country code
-20.2,34,NG
-30,4,FR
-47.3,5,GH
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and write to file path
-
-Writing a CSV file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { filePath: "testOut.csv"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to CSV string and download file in Client-side lib
-
-You can automatically convert and download a CSV file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-const dfd = require("danfojs")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_csv(df, { fileName: "testOut.csv", download: true});
-```
diff --git a/api-reference-v1-stable/input-output/danfo.to_excel.md b/api-reference-v1-stable/input-output/danfo.to_excel.md
deleted file mode 100644
index 1fe1adf..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_excel.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Converts a DataFrame or Series to Excel file and write file to disk or
-  download in browser.
----
-
-# danfo.to_excel
-
-> danfo.**to_excel**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.excel.js#L97)]
-
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                       | Default                                                                                                  |
-| -------------- | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                           |                                                                                                          |
-| **options**    |  object, optional   | <p> Configuration object: </p><p>{</p><p> <strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment. <br><strong><code>sheetName</code></strong>: Name to call the excel sheet. </p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
-
-The **to_excel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
-
-### Convert DataFrame to Excel and write to file path
-
-Writing an Excel file to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { filePath: "testOut.xlsx"});
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame to Excel and download the file in  Client-side lib
-
-You can automatically convert and download an Excel file in a browser environment, by specifying a `fileName`. 
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_excel(df, { fileName: "testOut.xlsx"});
-```
diff --git a/api-reference-v1-stable/input-output/danfo.to_json.md b/api-reference-v1-stable/input-output/danfo.to_json.md
deleted file mode 100644
index baac615..0000000
--- a/api-reference-v1-stable/input-output/danfo.to_json.md
+++ /dev/null
@@ -1,124 +0,0 @@
-# danfo.to\_json
-
-> danfo.**to\_json**(data, options) [\[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/io/io.json.js#L92)]
-
-|                |                     |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |                                                                 |
-| -------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                         |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |                                                                 |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.<br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p>}</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
-
-The **to\_json** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
-
-### Convert DataFrame/Series to JSON and return value
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-  Abs: [20.2, 30, 47.3],
-  Count: [34, 4, 5],
-  "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-const jsonObj = dfd.to_json(df, { download: false }); //column format
-console.log(jsonObj);
-
-//output
-[
-  { Abs: 20.2, Count: 34, 'country code': 'NG' },
-  { Abs: 30, Count: 4, 'country code': 'FR' },
-  { Abs: 47.3, Count: 5, 'country code': 'GH' }
-]
-
-//row format
-const jsonObj = dfd.to_json(df, {
-    download: false,
-    format: "row"
-});
-
-console.log(jsonObj);
-//output
-{
-  Abs: [ 20.2, 30, 47.3 ],
-  Count: [ 34, 4, 5 ],
-  'country code': [ 'NG', 'FR', 'GH' ]
-}
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-       let data = {
-          Abs: [20.2, 30, 47.3],
-          Count: [34, 4, 5],
-          "country code": ["NG", "FR", "GH"],
-        };
-        
-        let df = new dfd.DataFrame(data);
-        
-        const csv = df.to_csv({ download: false });
-        console.log(csv);
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and write to file path
-
-Writing a DataFrame/Series as JSON, to a local file path is only supported in the Nodejs environment
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { filePath: "./testOutput.json" });
-```
-{% endtab %}
-{% endtabs %}
-
-### Convert DataFrame/Series to JSON and download file in browser
-
-You can automatically convert and download a DataFrame/Series as a JSON file in a browser environment, by specifying a `fileName` and setting `download` to **true**.
-
-```javascript
-let data = {
-    Abs: [20.2, 30, 47.3],
-    Count: [34, 4, 5],
-    "country code": ["NG", "FR", "GH"],
-};
-
-let df = new dfd.DataFrame(data);
-
-dfd.to_json(df, { fileName: "test_out.json" });
-```
diff --git a/api-reference-v1-stable/input-output/read.md b/api-reference-v1-stable/input-output/read.md
deleted file mode 100644
index c38778e..0000000
--- a/api-reference-v1-stable/input-output/read.md
+++ /dev/null
@@ -1,138 +0,0 @@
----
-description: >-
-  The generic read function loads a tabular data using the Frictionless
-  specification.
----
-
-# read
-
-> danfo.**read**\(source, configs\) [\[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/io/reader.js#L21)\]
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left"><b>Parameters</b>
-      </th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-      <th style="text-align:left">Default</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left"><em><b>source</b></em>
-      </td>
-      <td style="text-align:left">string</td>
-      <td style="text-align:left">A path to the file/resources. It can be a local file, a URL to tabular
-        data (CSV, EXCEL) or Datahub.io Data Resource.</td>
-      <td style="text-align:left"></td>
-    </tr>
-    <tr>
-      <td style="text-align:left"><b>configs</b>
-      </td>
-      <td style="text-align:left">object</td>
-      <td style="text-align:left">
-        <p></p>
-        <p>Configuration options. Supported params are:</p>
-        <p><b>data_num</b> (Defaults =&gt; 0): The specific dataset to load, when
-          reading data from a datapackage.json,</p>
-        <p><b>header</b> (Defaults =&gt; true): Whether the dataset contains a header
-          or not.</p>
-        <p><b>sheet</b> (Defaults =&gt; 0): Number of the excel sheet which u want
-          to load.</p>
-        <p>}</p>
-      </td>
-      <td style="text-align:left"></td>
-    </tr>
-  </tbody>
-</table>
-
-**Returns:**
-
-     ****_**Promise**_. Resolves to DataFrame
-
-The **read** function uses [frictionless.js](https://github.com/frictionlessdata/frictionless-js) underhood.[`frictionless.js`](https://github.com/frictionlessdata/frictionless-js) is a lightweight, standardized "stream-plus-metadata" interface for accessing files and datasets, especially tabular ones \(CSV, Excel\). It follows the [Frictionless spec](https://frictionlessdata.io/specs/)
-
-> ### **Note**: The `read` method is only available in danfojs-node at the moment.
-
-### Read a CSV file
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let df = await dfd.read("file.csv")
-    let sample = await df.sample(10)
-    sample.print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### **Loading Files from URL**
-
-By specifying a valid URL, you can load CSV/EXCEL file:
-
-{% tabs %}
-{% tab title="Node.js" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- let df = await dfd.read("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
- df.head().print()
-}
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-### Loading Data from a Data Package Descriptor
-
-You can load data from a frictionless data package [descriptor](https://specs.frictionlessdata.io/data-package/#descriptor). A data package descriptor is a central file in a Data Package. It is a JSON file that provides:
-
-* General metadata such as the package’s title, license, publisher etc
-* A list of the data “resources” that make up the package including their location on disk or online and other relevant information \(including, possibly, schema information about these data resources in a structured form\)
-
-For instance, in the example below, we load the first resource in the [Natural Gas dataset](https://datahub.io/core/natural-gas) from datahub.io. 
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
- const package_url =
-    "https://datahub.io/core/natural-gas/datapackage.json";
-
-  const df = await dfd.read(package_url, { data_num: 1 });
-  df.head().print();
-
-load_data()
-```
-{% endtab %}
-{% endtabs %}
-
-```bash
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ Date              │ Price             ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ 1997-01-07        │ 3.81999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ 1997-01-08        │ 3.79999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ 1997-01-09        │ 3.60999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ 1997-01-10        │ 3.91999999999...  ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ 1997-01-13        │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-
-
diff --git a/api-reference-v1-stable/plotting/README.md b/api-reference-v1-stable/plotting/README.md
deleted file mode 100644
index 93161e3..0000000
--- a/api-reference-v1-stable/plotting/README.md
+++ /dev/null
@@ -1,19 +0,0 @@
----
-description: >-
-  DataFrame and Series have inbuilt support for plotting using Plotly's backend.
-  All customization can be done using Plotly's parameter passed to the config
-  object.
----
-
-# Plotting
-
-* [Line Charts](line-charts.md)
-* [Bar Charts](bar-charts.md)
-* [Scatter Plots](scatter-plots.md)
-* [Histograms](histograms.md)
-* [Pie Charts](pie-charts.md)
-* [Tables](tables.md)
-* [Box Plots](box-plots.md)
-* [Violin Plots](violin-plots.md)
-* [Timeseries Plots](timeseries-plots.md)
-
diff --git a/api-reference-v1-stable/plotting/bar-charts.md b/api-reference-v1-stable/plotting/bar-charts.md
deleted file mode 100644
index 6606bdc..0000000
--- a/api-reference-v1-stable/plotting/bar-charts.md
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Makes a vertical bar plot.
----
-
-# Bar Charts
-
-A bar plot presents categorical data with rectangular bars with lengths proportional to the values that they represent.
-
-## Examples
-
-The **bar** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the bars drawn can be passed through the config parameter.
-
-### Bar plot on Series
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (6).png>)
-
-### Bar plot on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").bar()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (7).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/box-plots.md b/api-reference-v1-stable/plotting/box-plots.md
deleted file mode 100644
index 2adb60a..0000000
--- a/api-reference-v1-stable/plotting/box-plots.md
+++ /dev/null
@@ -1,116 +0,0 @@
----
-description: Make a box plot from DataFrame columns.
----
-
-# Box Plots
-
-Make a box-and-whisker plot from DataFrame columns, optionally grouped by some other columns. A box plot is a method for graphically depicting groups of numerical data through their quartiles.
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").box()
-         
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (23).png>)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").box()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").box({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (24).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/configuring-your-plots.md b/api-reference-v1-stable/plotting/configuring-your-plots.md
deleted file mode 100644
index 4cedbb2..0000000
--- a/api-reference-v1-stable/plotting/configuring-your-plots.md
+++ /dev/null
@@ -1,68 +0,0 @@
-# Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example, in the line plot below, we define a layout for our plot and give it a name.
-
-For example in the following code, we show how to set some basic configuration as well as layout for a line plot.
-
-```markup
-<!doctype html>
-<html>
-
-<head>
-    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-
-</head>
-
-<body>
-
-    <div id="mydiv"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-
-                var layout = {
-                    title: {
-                        text: "Time series plot of AAPL open and close points",
-                        x: 0
-                    },
-                    legend: {
-                        bgcolor: "#fcba03",
-                        bordercolor: "#444",
-                        borderwidth: 1,
-                        font: { family: "Arial", size: 10, color: "#fff" }
-                    },
-                    width: 1000,
-                    yaxis: {
-                        title: 'AAPL open points',
-                    },
-                    xaxis: {
-                        title: 'Date',
-                    }
-                }
-                var config = {
-                    columns: ["AAPL.Open", "AAPL.Close"], //columns to plot
-                    displayModeBar: true,
-                    modeBarButtonsToAdd: [{ //Add custom button
-                        name: 'about',
-                        icon: Plotly.Icons.question,
-                        click: function (gd) {
-                            alert('An example of configuring Danfojs Plots')
-                        }
-                    }],
-                    layout //layout object
-                }
-
-                df.plot("mydiv").line(config)
-            })
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (32).png>)
diff --git a/api-reference-v1-stable/plotting/histograms.md b/api-reference-v1-stable/plotting/histograms.md
deleted file mode 100644
index adabd84..0000000
--- a/api-reference-v1-stable/plotting/histograms.md
+++ /dev/null
@@ -1,117 +0,0 @@
----
-description: Draw one histogram of the DataFrame’s columns, or single histogram for Series
----
-
-# Histograms
-
-A histogram is a representation of the distribution of data. This function groups the values of all given Series in the DataFrame into bins
-
-## Examples
-
-### Histogram of a Column in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to a real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df['Age'].plot("plot_div").hist()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (10).png>)
-
-### Customized Histogram plots on DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                var layout = {
-                    bargap: 0,
-                    bargroupgap: 0.1,
-                    barmode: "stack",
-                    title: "Histogram of two columns stacked",
-                    xaxis: { title: "Value" },
-                    yaxis: { title: "Count" }
-                }
-
-                sub_df = df.loc({ columns: ["Fare", "Age"] })
-                sub_df.plot("plot_div").hist({layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (20).png>)
-
-### Configuring your plots
-
-danfo.js plotting uses [Plotly.js](https://plotly.com/javascript) as its backend for plotting. This means you have all the configuration, flexibility and interactiveness of Plotly.
-
-All [customization](https://plotly.com/javascript/line-charts/) on the plot can be passed as an object of key-value pairs to the config parameter. For example:
-
-```javascript
-var layout = {
-    title: 'A sample plot',
-    xaxis: {
-        title: 'X',
-    },
-    yaxis: {
-        title: 'Y',
-    }
-}
-
-df.plot("div_tag").histogram({layout: layout})
-```
-
-{% hint style="info" %}
-For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) style doc.
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/line-charts.md b/api-reference-v1-stable/plotting/line-charts.md
deleted file mode 100644
index 79fe4d3..0000000
--- a/api-reference-v1-stable/plotting/line-charts.md
+++ /dev/null
@@ -1,109 +0,0 @@
----
-description: >-
-  Plot Series or DataFrame as lines. This function is useful to plot lines using
-  DataFrame’s values as coordinates.
----
-
-# Line Charts
-
-## Examples
-
-### Basic Line plot on Series
-
-The **line** plot is exposed by the .**plot()** function called on a Series or DataFrame. The **.plot()** method accepts an HTML Div id where it renders the plot, while configuration options for the lines drawn can be passed through the config parameter.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([1, 3, 2, 6, 10, 34, 40, 51, 90, 75])
-        s.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (4).png>)
-
-### Line plots on DataFrame
-
-The example below shows the plot of column values against a common x-axis (index)
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line()
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (2).png>)
-
-The example below shows how to plot two columns in a DataFrame against each other.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        df = new dfd.DataFrame({'pig': [20, 18, 489, 675, 1776],
-                               'horse': [4, 25, 281, 600, 1900]}, {index: [1990, 1997, 2003, 2009, 2014]})
-        df.plot("plot_div").line({x: 'pig', y: 'horse'})
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (3).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/pie-charts.md b/api-reference-v1-stable/plotting/pie-charts.md
deleted file mode 100644
index 6dce73d..0000000
--- a/api-reference-v1-stable/plotting/pie-charts.md
+++ /dev/null
@@ -1,123 +0,0 @@
----
-description: Generate a pie plot.
----
-
-# Pie Charts
-
-A pie plot is a proportional representation of the numerical data in a column
-
-## Examples
-
-### Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Location: ["NG", "GH", "SA"],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-        
-        df.plot("plot_div").pie({ values: "Price", labels: "Type" })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (12).png>)
-
-### Multiple Pie Chart from Columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-        df.plot("plot_div").pie({ labels: "Type"})
-
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (21).png>)
-
-### Configure Position of Pie Charts
-
-If you have more than one pie charts displayed, you can set the grid parameter, and also the position of each pie. For example, in the snippet below, we set our grid to 2 by 2 and also pass a set of row and column index position. Each row/column position index correspond to each pie.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-   <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       df = new dfd.DataFrame({
-            Price: [19, 26, 55],
-            Count: [20, 50, 25],
-            Type: ['Residential', 'Non-Residential', 'Utility']
-        })
-
-       df.plot("plot_div").pie({ labels: "Type",
-                                 grid: { rows: 2, columns: 2 },
-                                 row_pos: [0, 1], col_pos: [0, 1] })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (22).png>)
-
-{% hint style="info" %}
-For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/scatter-plots.md b/api-reference-v1-stable/plotting/scatter-plots.md
deleted file mode 100644
index 77649d1..0000000
--- a/api-reference-v1-stable/plotting/scatter-plots.md
+++ /dev/null
@@ -1,88 +0,0 @@
----
-description: Create a scatter plot of columns in a DataFrame
----
-
-# Scatter Plots
-
-The coordinates of each point are defined by two DataFrame columns and filled circles are used to represent each point. Scatter plot is useful for visualizing complex correlations between two variables.
-
-## Examples
-
-### Scatter Plots on Columns in a DataFrame
-
-In the example below, we use the titanic dataset, to show a close to real-world use case of danfo.js
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").scatter({ x: "Age", y: "Fare" })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot-8- (1) (1).png>)
-
-### More Examples
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-       dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                sub_df = df.loc({columns: ["Age", "Fare", "Parch", "SibSp"]})
-                sub_df.plot("plot_div").scatter()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (19).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/tables.md b/api-reference-v1-stable/plotting/tables.md
deleted file mode 100644
index c67f0e2..0000000
--- a/api-reference-v1-stable/plotting/tables.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Turn DataFrame/Series in D3.js-based tables
----
-
-# Tables
-
-## Examples
-
-### Create Interactive Tables from DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-     <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-            
-                df.plot("plot_div").table()
-              
-              
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
-
-### Configure the header and cell of a table
-
-To configure the header and cell of a table, you can pass header/cell styles to the **header\_style** and **cell\_style** parameter. The [Plotly table](https://plotly.com/javascript/table/) doc shows numerous configuration options you can pass.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                header_style = {
-                    align: "center",
-                    fill: { color: ['gray'] },
-                    font: { family: "Arial", size: 15, color: "white" }
-                }
-                cell_style = {
-                    align: ["center"],
-                    line: { color: "black", width: 1 }
-                }
-
-                df.plot("plot_div").table({ header_style: header_style, cell_style: cell_style })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-
-```
-
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference-v1-stable/plotting/timeseries-plots.md b/api-reference-v1-stable/plotting/timeseries-plots.md
deleted file mode 100644
index 7bbb089..0000000
--- a/api-reference-v1-stable/plotting/timeseries-plots.md
+++ /dev/null
@@ -1,58 +0,0 @@
----
-description: Timeseries plot are based on date index
----
-
-# Timeseries Plots
-
-## Examples
-
-In the example below, we plot the yearly trend of a financial dataset. First, we reset the index to the Date column.
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
-            .then(df => {
-
-                var layout = {
-                    title: 'A financial charts',
-                    xaxis: {
-                        title: 'Date',
-                    },
-                    yaxis: {
-                        title: 'Count',
-                    }
-                }
-
-                new_df = df.set_index({ column: "Date" })
-                new_df.plot("plot_div").line({ columns: ["AAPL.Open", "AAPL.High"], layout: layout })
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/plotting/violin-plots.md b/api-reference-v1-stable/plotting/violin-plots.md
deleted file mode 100644
index a3e6c11..0000000
--- a/api-reference-v1-stable/plotting/violin-plots.md
+++ /dev/null
@@ -1,112 +0,0 @@
-# Violin Plots
-
-Make a violin plot from DataFrame columns, optionally grouped by some other columns. A violin plot is a method for graphically depicting groups of numerical data through their quartiles. See also [Box Plot](box-plots.md)
-
-## Examples
-
-### Boxplot for a Series Object
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-        s = new dfd.Series([20, 30, 40, 23, 40, 3, 50, 34, 67])
-        s.plot("plot_div").violin()
-         
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (25).png>)
-
-### Box plots on a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                sub_df = df.loc({ columns: ["Age", "Fare"] })
-                sub_df.plot("plot_div").violin()
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (26).png>)
-
-### Box plot for selected columns in a DataFrame
-
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <div id="plot_div"></div>
-    <script>
-
-         dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
-            .then(df => {
-
-                df.plot("plot_div").violin({x: "Survived", y: "Age"})
-
-            }).catch(err => {
-                console.log(err);
-            })
-
-    </script>
-</body>
-
-</html>
-```
-
-![](<../../.gitbook/assets/newplot (27).png>)
-
-{% hint style="info" %}
-To set configuration for your plots, see the [Configuring your plot page](configuring-your-plots.md)
-{% endhint %}
diff --git a/api-reference-v1-stable/series/README.md b/api-reference-v1-stable/series/README.md
deleted file mode 100644
index 421bc63..0000000
--- a/api-reference-v1-stable/series/README.md
+++ /dev/null
@@ -1,182 +0,0 @@
----
-description: One-dimensional ndarray with axis labels (including time series).
----
-
-# Series
-
-> `Series`(data, {**columns:** \[ Array ], **dtypes:** \[ Array ], **index:** \[Array]}) \[[source](https://github.com/opensource9ja/danfojs/blob/3398c2f540c16ac95599a05b6f2db4eff8a258c9/danfojs/src/core/series.js#L28)]
-
-### Attributes
-
-| [`Series.index`](series.index.md) |      The index (axis labels) of the Series. |
-| --------------------------------- | ------------------------------------------- |
-
-| [`Series.tensor`](series.tensor.md) | The Tensorflow tensor of the data backing this Series or Index.  |
-| ----------------------------------- | ---------------------------------------------------------------- |
-| [`Series.values`](series.values.md) | Return Series as ndarray or ndarray-like depending on the dtype. |
-| [`Series.dtype`](series.dtype.md)   | Return the dtype object of the underlying data.                  |
-| [`Series.shape`](series.shape.md)   | Return a tuple of the shape of the underlying data.              |
-| [`Series.ndim`](series.ndim.md)     | Number of dimensions of the underlying data, by definition 1.    |
-| [`Series.size`](broken-reference)   | Return the number of elements in the underlying data.            |
-
-### Conversion
-
-| [`Series.astype`](../dataframe/dataframe.astype.md) | Cast a Series object to a specified dtype      |
-| --------------------------------------------------- | ---------------------------------------------- |
-| [`Series.copy`](series.copy.md)                     | Make a copy of this object’s indices and data. |
-
-### Indexing, iteration
-
-|                                                         |                                                                    |
-| ------------------------------------------------------- | ------------------------------------------------------------------ |
-| ``[`Series.loc`](../dataframe/danfo.dataframe.loc.md)`` | Access a group of rows and columns by label(s) or a boolean array. |
-| [`Series.iloc`](series.iloc.md)                         | Purely integer-location based indexing for selection by position.  |
-
-### Binary operator functions
-
-| [`Series.add`](series.add.md)     | Return Addition of series and other, element-wise (binary operator add).                |
-| --------------------------------- | --------------------------------------------------------------------------------------- |
-| [`Series.sub`](series.sub.md)     | Return Subtraction of series and other, element-wise (binary operator sub).             |
-| [`Series.mul`](series.mul.md)     | Return Multiplication of series and other, element-wise (binary operator mul).          |
-| [`Series.div`](series.div.md)     | Return Floating division of series and other, element-wise (binary operator truediv).   |
-| [`Series.mod`](series.mod.md)     | Return Modulo of series and other, element-wise (binary operator mod).                  |
-| [`Series.pow`](series.pow.md)     | Return Exponential power of series and other, element-wise (binary operator pow).       |
-| [`Series.round`](series.round.md) | Round each value in a Series to the given number of decimals.                           |
-| [`Series.lt`](series.lt.md)       | Return Less than of series and other, element-wise (binary operator lt).                |
-| [`Series.gt`](series.gt.md)       | Return Greater than of series and other, element-wise (binary operator gt).             |
-| [`Series.le`](series.le.md)       | Return Less than or equal to of series and other, element-wise (binary operator le).    |
-| [`Series.ge`](series.ge.md)       | Return Greater than or equal to of series and other, element-wise (binary operator ge). |
-| [`Series.ne`](series.ne.md)       | Return Not equal to of series and other, element-wise (binary operator ne).             |
-| [`Series.eq`](series.eq.md)       | Return Equal to of series and other, element-wise (binary operator eq).                 |
-| [`Series.dot`](broken-reference)  | Compute the dot product between the Series and the columns of other.                    |
-
-### Function application & GroupBy
-
-| [`Series.apply`](series.apply.md) | Invoke function on values of Series.                    |
-| --------------------------------- | ------------------------------------------------------- |
-| [`Series.map`](series.map.md)     | Map values of Series according to input correspondence. |
-
-### Computations / descriptive stats
-
-| [`Series.abs`](series.abs.md)                               | Return a Series with absolute numeric value of each element.     |
-| ----------------------------------------------------------- | ---------------------------------------------------------------- |
-| [`Series.corr`](broken-reference)                           | Compute correlation with other Series, excluding missing values. |
-| [`Series.count`](series.count.md)                           | Return number of non-NaN observations in the Series.             |
-| [`Series.cummax`](../dataframe/danfo.dataframe.cummax.md)   | Return cumulative maximum over a DataFrame or Series axis.       |
-| [`Series.cummin`](../dataframe/danfo.dataframe.cummin.md)   | Return cumulative minimum over a DataFrame or Series axis.       |
-| [`Series.cumprod`](../dataframe/danfo.dataframe.cumprod.md) | Return cumulative product over a DataFrame or Series axis.       |
-| [`Series.cumsum`](../dataframe/danfo.dataframe.cumsum.md)   | Return cumulative sum over a DataFrame or Series axis.           |
-| [`Series.describe`](series.describe.md)                     | Generate descriptive statistics.                                 |
-| [`Series.max`](series.max.md)                               | Return the maximum of the values for the requested axis.         |
-| [`Series.mean`](series.mean.md)                             | Return the mean of the values for the requested axis.            |
-| [`Series.median`](series.median.md)                         | Return the median of the values for the requested axis.          |
-| [`Series.min`](series.min.md)                               | Return the minimum of the values for the requested axis.         |
-| [`Series.mode`](series.mode.md)                             | Return the mode(s) of the dataset.                               |
-| [`Series.std`](series.std.md)                               | Return sample standard deviation over requested axis.            |
-| [`Series.sum`](series.sum.md)                               | Return the sum of the values for the requested axis.             |
-| [`Series.var`](series.var.md)                               | Return unbiased variance over requested axis.                    |
-| [`Series.unique`](series.unique.md)                         | Return unique values of Series object.                           |
-| [`Series.nunique`](series.nunique.md)                       | Return number of unique elements in the object.                  |
-| [`Series.value_counts`](series.value\_counts.md)            | Return a Series containing counts of unique values.              |
-
-### Reindexing / selection / label manipulation
-
-|                                                        |                                                          |
-| ------------------------------------------------------ | -------------------------------------------------------- |
-| [`Series.drop_duplicates`](series.drop\_duplicates.md) | Return Series with duplicate values removed.             |
-| [`Series.head`](series.head.md)                        | Return the first n rows.                                 |
-| [`Series.reset_index`](series.reset\_index.md)         | Generate a new DataFrame or Series with the index reset. |
-| [`Series.sample`](series.sample.md)                    | Return a random sample of items from an axis of object.  |
-| [`Series.tail`](series.tail.md)                        | Return the last n rows.                                  |
-
-### Missing data handling
-
-|                                       |                                                  |
-| ------------------------------------- | ------------------------------------------------ |
-| [`Series.dropna`](series.dropna.md)   | Return a new Series with missing values removed. |
-| [`Series.fillna`](series.fillna.md)   | Fill NaN values using the specified method.      |
-| [`Series.isna`](series.isna.md)       | Detect missing values.                           |
-| [`Series.replace`](series.replace.md) | Replace values given in to\_replace with value.  |
-
-### Reshaping, sorting
-
-| [`Series.argsort`](series.argsort.md)          | Return the integer indices that would sort the Series values. |
-| ---------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.argmin`](series.argmin.md)            | Return int position of the smallest value in the Series.      |
-| [`Series.argmax`](series.argmax.md)            | Return int position of the largest value in the Series.       |
-| [`Series.sort_values`](series.sort\_values.md) | Sort by the values.                                           |
-
-### Accessors
-
-Danfo provides dtype-specific methods under various accessors. These are separate namespaces within [`Series`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas.Series) that only apply to specific data types.
-
-| Data Type | Accessor |
-| --------- | -------- |
-| Datetime  | dt       |
-| String    | str      |
-
-#### Datetimelike properties
-
-`Series.dt` can be used to access the values of the series as datetime and return several properties. These can be accessed like `Series.dt.<property>`.
-
-**Datetime methods**
-
-|                                                    |                                                                    |
-| -------------------------------------------------- | ------------------------------------------------------------------ |
-| [`Series.dt.year`](series.dt.year.md)              | The year of the datetime.                                          |
-| [`Series.dt.month`](series.dt.month.md)            | The month as January=1, December=12.                               |
-| [`Series.dt.day`](series.dt.day.md)                | The day of the datetime.                                           |
-| [`Series.dt.hour`](series.dt.hour.md)              | The hours of the datetime.                                         |
-| [`Series.dt.minute`](series.dt.minute.md)          | The minutes of the datetime.                                       |
-| [`Series.dt.second`](series.dt.second.md)          | The seconds of the datetime.                                       |
-| [`Series.dt.weekdays`](series.dt.weekdays.md)      | The day of the week with Monday=0, Sunday=6.                       |
-| [`Series.dt.month_name`](series.dt.month\_name.md) | Return the month names of the DateTimeIndex with specified locale. |
-
-#### String handling
-
-`Series.str` can be used to access the values of the series as strings and apply several methods to it. These can be accessed like `Series.str.<function/property>`.
-
-| [`Series.str.capitalize`](series.str.capitalize.md)   | Capitalize the first character of each string                                                                                  |
-| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ |
-| [`Series.str.toUpperCase`](series.str.touppercase.md) | Converts all characters to uppercase.                                                                                          |
-| [`Series.str.toLowerCase`](series.str.tolowercase.md) | Converts all characters to lowercase.                                                                                          |
-| [`Series.str.charAt`](series.str.charat.md)           | Returns the character at the specified index (position).                                                                       |
-| [`Series.str.concat`](series.str.concat.md)           | Joins two or more strings/arrays.                                                                                              |
-| [`Series.str.startsWith`](series.str.startswith.md)   | Checks whether a string begins with specified characters.                                                                      |
-| [`Series.str.endsWith`](series.str.endswith.md)       | Checks whether a string ends with specified characters                                                                         |
-| [`Series.str.includes`](series.str.includes.md)       | Checks whether a string contains the specified string/characters.                                                              |
-| [`Series.str.indexOf`](series.str.indexof.md)         | Returns the position of the first found occurrence of a specified value in a string.                                           |
-| [`Series.str.lastIndexOf`](series.str.lastindexof.md) | Returns the position of the last found occurrence of a specified value in a string.                                            |
-| [`Series.str.repeat`](series.str.repeat.md)           | Returns a new string with a specified number of copies of an existing string.                                                  |
-| [`Series.str.search`](series.str.search.md)           | Searches a string for a specified value, or regular expression, and returns the position of the match.                         |
-| [`Series.str.slice`](series.str.slice.md)             | Extracts a part of a string and returns a new string.                                                                          |
-| [`Series.str.split`](series.str.split.md)             | Splits a string into an array of substrings.                                                                                   |
-| [`Series.str.substr`](series.str.substr.md)           | Extracts the characters from a string, beginning at a specified start position, and through the specified number of character. |
-| [`Series.str.substring`](series.str.substring.md)     | Extracts the characters from a string, between two specified indices.                                                          |
-| [`Series.str.len`](series.str.len.md)                 | Counts the number of characters in each string.                                                                                |
-| [`Series.str.trim`](series.str.trim.md)               | Removes whitespace from both ends of a string.                                                                                 |
-| [`Series.str.join`](series.str.join.md)               | Joins strings to specified value.                                                                                              |
-| [`Series.str.replace`](series.str.replace.md)         | Replace each occurrence of pattern/regex in the Series/Index.                                                                  |
-
-### Plotting
-
-`Series.plot` is both a callable method and a namespace attribute for specific plotting methods of the form `Series.plot.<kind>`.
-
-|                                                       |                                                               |
-| ----------------------------------------------------- | ------------------------------------------------------------- |
-| [`Series.plot.bar`](../plotting/bar-charts.md)        | Vertical bar plot.                                            |
-| [`Series.plot.box`](../plotting/box-plots.md)         | Make a box plot of the DataFrame columns.                     |
-| [`Series.plot.violin`](../plotting/box-plots.md)      | Make a violin plot of the DataFrame columns.                  |
-| [`Series.plot.hist`](../plotting/histograms.md)       | Draw one histogram of the DataFrame’s columns.                |
-| [`Series.plot.scatter`](../plotting/scatter-plots.md) | Generate Kernel Density Estimate plot using Gaussian kernels. |
-| [`Series.plot.line`](../plotting/line-charts.md)      | Plot Series or DataFrame as lines.                            |
-| [`Series.plot.pie`](../plotting/pie-charts.md)        | Generate a pie plot.                                          |
-| [`Timeseries Plots`](../plotting/timeseries-plots.md) | Time series plots                                             |
-| [`Table`](../plotting/tables.md)                      | Display Series as Interactive table in Div                    |
-
-### Serialization / IO / conversion
-
-|                                                        |                                                      |
-| ------------------------------------------------------ | ---------------------------------------------------- |
-| [`Series.to_csv`](../dataframe/dataframe.to\_csv.md)   | Write object to a comma-separated values (csv) file. |
-| [`Series.to_json`](../dataframe/dataframe.to\_json.md) | Convert the object to a JSON string.                 |
diff --git a/api-reference-v1-stable/series/creating-a-series.md b/api-reference-v1-stable/series/creating-a-series.md
deleted file mode 100644
index 3c8e4ba..0000000
--- a/api-reference-v1-stable/series/creating-a-series.md
+++ /dev/null
@@ -1,210 +0,0 @@
-# Creating a Series
-
-new danfo.**Series**\(data, options\)
-
-<table>
-  <thead>
-    <tr>
-      <th style="text-align:left">Parameters</th>
-      <th style="text-align:left">Type</th>
-      <th style="text-align:left">Description</th>
-    </tr>
-  </thead>
-  <tbody>
-    <tr>
-      <td style="text-align:left">data</td>
-      <td style="text-align:left">1D Array, 1D Tensor, JSON object.</td>
-      <td style="text-align:left">Flat data structure to load into DataFrame</td>
-    </tr>
-    <tr>
-      <td style="text-align:left">options</td>
-      <td style="text-align:left">Object</td>
-      <td style="text-align:left">
-        <p>Optional configuration object. Supported properties are:
-          <br />
-        </p>
-        <p><b>index:</b> Array of numeric or string names for subseting array. If
-          not specified, indexes are auto-generated.
-          <br />
-        </p>
-        <p><b>dtypes:</b> Array of data types for each the column. If not specified,
-          dtypes are/is inferred.
-          <br />
-        </p>
-        <p><b>config</b>: General configuration object for extending or setting NDframe
-          behavior. See full options here</p>
-      </td>
-    </tr>
-  </tbody>
-</table>
-
-In order to create a Series, you need to call the new Keyword and pass a flat data structure. In the following examples, we show you how to create a Series by specifying different config options. 
-
-### Creating a Series from an object:
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = { 'B': ["bval1", "bval2", "bval3", "bval4"] }
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```javascript
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series from an array
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-obj_data = ["bval1", "bval2", "bval3", "bval4"]
-df = new dfd.Series(obj_data)
-df.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-         json_data = [{ A: 0.4612, B: 4.28283, C: -1.509, D: -1.1352 },
-            { A: 0.5112, B: -0.22863, C: -3.39059, D: 1.1632 },
-            { A: 0.6911, B: -0.82863, C: -1.5059, D: 2.1352 },
-            { A: 0.4692, B: -1.28863, C: 4.5059, D: 4.1632 }]
-
-        df = new dfd.DataFrame(json_data)
-        df.print()
-
-    </script>
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══════╗
-║ 0 │ bval1 ║
-╟───┼───────╢
-║ 1 │ bval2 ║
-╟───┼───────╢
-║ 2 │ bval3 ║
-╟───┼───────╢
-║ 3 │ bval4 ║
-╚═══╧═══════╝
-```
-
-### Creating a Series and specifying index and dtypes
-
-You can create a Series and specify options like index, dtypes, as well as configuration options for display, and memory mode etc. 
-
-> Note: Specifing dtypes, and index on Series creation makes the process slightly faster.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2, 3, 4, 5];
-let index = ["a", "b", "c", "d", "e"];
-let dtypes = ["int32",]
-
-let df = new Series(data1, { index, dtypes });
-df.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╚═══╧═══╝
-```
-
-### Creating a Series and specifying memory mode
-
-To use less space on Series creation, you can set the low memory mode as demonstrated below:
-
-```javascript
-import { Series } from "danfojs"
-
-let data1 = [1, 2.3, 3, 4, 5, "girl"];
-
-let df = new Series(data1, {
-    config: { lowMemoryMode: true }
-});
-df.print()
-```
-
-{% hint style="info" %}
-**Note**: In low memory mode, less space is used by the Series.
-{% endhint %}
-
diff --git a/api-reference-v1-stable/series/danfo.series.add.md b/api-reference-v1-stable/series/danfo.series.add.md
deleted file mode 100644
index 7cd6150..0000000
--- a/api-reference-v1-stable/series/danfo.series.add.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: 'Return Addition of series and other, element-wise (binary operator add).'
----
-
-# danfo.Series.add
-
-Return Addition of series and other, element-wise \(binary operator add\).
-
-            **parameter:** {other} Series or Number to add
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let data2 = [30, 40, 39, 1, 2, 1]
-let sf = new Series(data)
-let sf2 = new Series(data2)
-sf.add(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.apply.md b/api-reference-v1-stable/series/danfo.series.apply.md
deleted file mode 100644
index d59a99c..0000000
--- a/api-reference-v1-stable/series/danfo.series.apply.md
+++ /dev/null
@@ -1,63 +0,0 @@
----
-description: invoke a function on Series Value
----
-
-# danfo.Series.apply
-
-> danfo.series.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function | Function \(can be anonymous\) to apply |  |
-
-**Returns:**
-
-       ****return **Series**
-
-\*\*\*\*
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-
-**OUTPUT:**
-
-![](../../.gitbook/assets/series_apply1.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_apply2.png)
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.copy.md b/api-reference-v1-stable/series/danfo.series.copy.md
deleted file mode 100644
index c610c04..0000000
--- a/api-reference-v1-stable/series/danfo.series.copy.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.copy
-
-Make a new copy of Series
-
-
-
-**parameter:** 
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf_copy = sf.copy()
-
-
-let sf = new Series([30.21091, 40.190901, 3.564, 5.0212])
-sf = sf.set_index({ "index": ["a", "b", "c", "d"] })
-sf_copy = sf.copy()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.count.md b/api-reference-v1-stable/series/danfo.series.count.md
deleted file mode 100644
index 50a5789..0000000
--- a/api-reference-v1-stable/series/danfo.series.count.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.count
-
-Return number of non-NA/null observations in the Series.
-
-This is equivalent to the method numpy.sum
-
-            **parameter:** 
-
-            **return:** {Number}, sum of values in Series
-
-**Example**
-
-```javascript
-let data = ["boy", "gitl", "woman", NaN]
-let sf = new Series(data)
-sf.count()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.describe.md b/api-reference-v1-stable/series/danfo.series.describe.md
deleted file mode 100644
index 184dbe9..0000000
--- a/api-reference-v1-stable/series/danfo.series.describe.md
+++ /dev/null
@@ -1,26 +0,0 @@
-# danfo.Series.describe
-
-
-
-Generate descriptive statistics. Descriptive statistics include those that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three"] })
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-df.reset_index()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.div.md b/api-reference-v1-stable/series/danfo.series.div.md
deleted file mode 100644
index ae2731b..0000000
--- a/api-reference-v1-stable/series/danfo.series.div.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# danfo.Series.div
-
-Return division of series and other, element-wise \(binary operator div\).
-
-Equivalent to series / other
-
-            **parameter:** {other} Series, Number to divide with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.div(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.head.md b/api-reference-v1-stable/series/danfo.series.head.md
deleted file mode 100644
index 1bc9d5e..0000000
--- a/api-reference-v1-stable/series/danfo.series.head.md
+++ /dev/null
@@ -1,25 +0,0 @@
----
-description: This function returns the first n rows for the object based on position.
----
-
-# danfo.Series.head
-
-
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let cols = ["A"]
-let sf = new Series(data, { columns: cols })
-sf.head()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.map.md b/api-reference-v1-stable/series/danfo.series.map.md
deleted file mode 100644
index 9d7cad4..0000000
--- a/api-reference-v1-stable/series/danfo.series.map.md
+++ /dev/null
@@ -1,42 +0,0 @@
----
-description: Map the value of a series to it representation
----
-
-# danfo.Series.map
-
-> danfo.series.**map**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)\]
-
-| Parameter | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| callable | Function or Object | callable can either be a function or an object\({}\) |  |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map)
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_map1.png)
-
diff --git a/api-reference-v1-stable/series/danfo.series.max.md b/api-reference-v1-stable/series/danfo.series.max.md
deleted file mode 100644
index cac4ba1..0000000
--- a/api-reference-v1-stable/series/danfo.series.max.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.max
-
diff --git a/api-reference-v1-stable/series/danfo.series.maximum.md b/api-reference-v1-stable/series/danfo.series.maximum.md
deleted file mode 100644
index 9082120..0000000
--- a/api-reference-v1-stable/series/danfo.series.maximum.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.maximum
-
-Return maximum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check maximum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.maximum(sf2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.mean.md b/api-reference-v1-stable/series/danfo.series.mean.md
deleted file mode 100644
index 6ace487..0000000
--- a/api-reference-v1-stable/series/danfo.series.mean.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mean
-
diff --git a/api-reference-v1-stable/series/danfo.series.median.md b/api-reference-v1-stable/series/danfo.series.median.md
deleted file mode 100644
index 077c0ec..0000000
--- a/api-reference-v1-stable/series/danfo.series.median.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.median
-
diff --git a/api-reference-v1-stable/series/danfo.series.min.md b/api-reference-v1-stable/series/danfo.series.min.md
deleted file mode 100644
index 22f3589..0000000
--- a/api-reference-v1-stable/series/danfo.series.min.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.min
-
diff --git a/api-reference-v1-stable/series/danfo.series.minimum.md b/api-reference-v1-stable/series/danfo.series.minimum.md
deleted file mode 100644
index 2a9d9c6..0000000
--- a/api-reference-v1-stable/series/danfo.series.minimum.md
+++ /dev/null
@@ -1,22 +0,0 @@
-# danfo.Series.minimum
-
-
-
-Return minimum of series and other, element-wise \(binary operator div\).
-
-
-
-            **parameter:** {other} Series, Numbers to check minimum against
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.minimum(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.mod.md b/api-reference-v1-stable/series/danfo.series.mod.md
deleted file mode 100644
index 577014d..0000000
--- a/api-reference-v1-stable/series/danfo.series.mod.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Modulo of series and other, element-wise (binary operator mod).'
----
-
-# danfo.Series.mod
-
-Return Modulo of series and other, element-wise \(binary operator mod\).
-
-Equivalent to series % other
-
-            **parameter:** {other} Series, Number
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mod(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.mode.md b/api-reference-v1-stable/series/danfo.series.mode.md
deleted file mode 100644
index 8d86e6e..0000000
--- a/api-reference-v1-stable/series/danfo.series.mode.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# danfo.Series.mode
-
diff --git a/api-reference-v1-stable/series/danfo.series.mul.md b/api-reference-v1-stable/series/danfo.series.mul.md
deleted file mode 100644
index 6cdac92..0000000
--- a/api-reference-v1-stable/series/danfo.series.mul.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: 'Return Multiplication of series and other, element-wise (binary operator mul).'
----
-
-# danfo.Series.mul
-
-Return Multiplication of series and other, element-wise \(binary operator mul\).
-
-Equivalent to series \* other, but with support to substitute a fill\_value for missing data in one of the inputs.
-
-            **parameter:** {Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.mul(sf2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.pow.md b/api-reference-v1-stable/series/danfo.series.pow.md
deleted file mode 100644
index 291a993..0000000
--- a/api-reference-v1-stable/series/danfo.series.pow.md
+++ /dev/null
@@ -1,26 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# danfo.Series.pow
-
-Return Exponential power of series and other, element-wise \(binary operator pow\).
-
-Equivalent to series \*\* other
-
-            **parameter:** {other} Series, Number to multiply with.
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.pow(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.reset_index.md b/api-reference-v1-stable/series/danfo.series.reset_index.md
deleted file mode 100644
index 7a908a9..0000000
--- a/api-reference-v1-stable/series/danfo.series.reset_index.md
+++ /dev/null
@@ -1,31 +0,0 @@
-# danfo.Series.reset\_index
-
-
-
-Generate a new Series with the index reset. This is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to the default before another operation.
-
-
-
-**parameter:** {kwargs} {inplace: Modify the Series in place \(do not create a new object, drop: Just reset the index, without inserting it as a column in the new DataFrame.}
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-let df_reset = df_new.reset_index()
-df_reset.print()
-
-
-let data = [1,2,3,4,5,6]
-let df = new Series(data)
-df.set_index({ "index": ["one", "two", "three", "four", "five", "six"], "inplace": true })
-let df_new = df.reset_index()
-df_new 
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.round.md b/api-reference-v1-stable/series/danfo.series.round.md
deleted file mode 100644
index 2bbacbb..0000000
--- a/api-reference-v1-stable/series/danfo.series.round.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.round
-
-Round each value in a Series to the given number of decimals.
-
-
-
- **parameter:** {dp} Number, Numbers of Decimal places to round to
-
-            **return:** {Series}
-
-**Example**
-
-```javascript
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf = new Series(data1)
-sf.round(1)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.sample.md b/api-reference-v1-stable/series/danfo.series.sample.md
deleted file mode 100644
index fa8f326..0000000
--- a/api-reference-v1-stable/series/danfo.series.sample.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# danfo.Series.sample
-
-Gets \[num\] number of random rows in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.sample(2)
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.set_index.md b/api-reference-v1-stable/series/danfo.series.set_index.md
deleted file mode 100644
index 5cb3d28..0000000
--- a/api-reference-v1-stable/series/danfo.series.set_index.md
+++ /dev/null
@@ -1,40 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# danfo.Series.set\_index
-
-> danfo.series.**set\_index\(**kwargs**\)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| kwargs | Object {} | The object contains the key **index** and assigned an array value of equal length to the Series. format {"index": \[Array\] } |   |
-
-**Example**
-
-```javascript
-const dfd = require("danfojs")
-
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["one", "two", "three"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series.reset_index.png)
-
-```javascript
-const dfd = require("danfojs")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let df = new dfd.Series(data)
-let df_new = df.set_index({ "index": ["H", "L", "M","F","T"] })
-df_new.print()
-```
-
-**OUTPUT**
-
-![](../../.gitbook/assets/series_reset_index2.png)
-
diff --git a/api-reference-v1-stable/series/danfo.series.sort_values.md b/api-reference-v1-stable/series/danfo.series.sort_values.md
deleted file mode 100644
index 0a0c4e7..0000000
--- a/api-reference-v1-stable/series/danfo.series.sort_values.md
+++ /dev/null
@@ -1,27 +0,0 @@
-# danfo.Series.sort\_values
-
-
-
-Sort a Series in ascending or descending order by some criterion.
-
-
-
- **parameter:** {kwargs} Object, {ascending \(Bool\): Whether to return sorted values in ascending order or not, inplace \(Bool\): Whether to perform sorting on the original Series or not}
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values()
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "inplace": true })
-
-
-let sf = new Series([20, 30, 1, 2, 4, 57, 89, 0, 4])
-sf.sort_values({ "ascending": false, "inplace": true })
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.std.md b/api-reference-v1-stable/series/danfo.series.std.md
deleted file mode 100644
index 8f48ef2..0000000
--- a/api-reference-v1-stable/series/danfo.series.std.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.std
-
-Return sample standard deviation over requested axis.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.std()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.sub.md b/api-reference-v1-stable/series/danfo.series.sub.md
deleted file mode 100644
index 8867c14..0000000
--- a/api-reference-v1-stable/series/danfo.series.sub.md
+++ /dev/null
@@ -1,24 +0,0 @@
----
-description: 'Return Subtraction of series and other, element-wise (binary operator sub).'
----
-
-# danfo.Series.sub
-
-Returns the subtraction between a series and other, element-wise \(binary operator subtraction\).
-
-Equivalent to series - other
-
-            **parameter:** {other} Series, Number to subtract
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 39, 1, 2, 1]
-let data2 = [1, 2, 3, 4, 5, 6]
-let sf1 = new Series(data1)
-let sf2 = new Series(data2)
-sf1.sub(sf2)
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.sum-1.md b/api-reference-v1-stable/series/danfo.series.sum-1.md
deleted file mode 100644
index 6ec14cb..0000000
--- a/api-reference-v1-stable/series/danfo.series.sum-1.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# danfo.Series.sum
-
-Return the sum of the values for the requested axis.
-
-This is equivalent to the method numpy.sum.
-
-            **parameter:** 
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.sum()
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.tail.md b/api-reference-v1-stable/series/danfo.series.tail.md
deleted file mode 100644
index e83307d..0000000
--- a/api-reference-v1-stable/series/danfo.series.tail.md
+++ /dev/null
@@ -1,22 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# danfo.Series.tail
-
-Prints the first n values in a Series
-
-            **parameter:** {rows}  Number of rows to return
-
-            **return:** Series
-
-**Example**
-
-```javascript
-let data = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf = new Series(data)
-sf.tail()
-```
-
-
-
diff --git a/api-reference-v1-stable/series/danfo.series.tostring.md b/api-reference-v1-stable/series/danfo.series.tostring.md
deleted file mode 100644
index 5807850..0000000
--- a/api-reference-v1-stable/series/danfo.series.tostring.md
+++ /dev/null
@@ -1,18 +0,0 @@
-# danfo.Series.toString
-
-
-
-Prints the data in a Series as a grid of row and columns
-
-
-
-**parameter:** 
-
-            **return:** {frame}
-
-**Example**
-
-```javascript
-
-```
-
diff --git a/api-reference-v1-stable/series/danfo.series.var.md b/api-reference-v1-stable/series/danfo.series.var.md
deleted file mode 100644
index 822edc7..0000000
--- a/api-reference-v1-stable/series/danfo.series.var.md
+++ /dev/null
@@ -1,20 +0,0 @@
-# danfo.Series.var
-
-
-
-Return unbiased variance of Series.
-
-
-
- **parameter:** 
-
-            **return:** {Number}
-
-**Example**
-
-```javascript
-let data1 = [30, 40, 3, 5]
-let sf = new Series(data1)
-sf.var()
-```
-
diff --git a/api-reference-v1-stable/series/series.abs.md b/api-reference-v1-stable/series/series.abs.md
deleted file mode 100644
index 843dd5e..0000000
--- a/api-reference-v1-stable/series/series.abs.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Returns the absolute value in a Series
----
-
-# Series.abs
-
-> danfo.Series.**abs**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L793)]
-
-| Parameters | Type   | Description                                                                                          | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | **inplace**:  Boolean indicating whether to perform the operation in-place or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [-10, 45, 56, -25, 23, -20, 10]
-let sf = new dfd.Series(data1)
-
-sf.abs().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 25                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 6 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.add.md b/api-reference-v1-stable/series/series.add.md
deleted file mode 100644
index e55b1b8..0000000
--- a/api-reference-v1-stable/series/series.add.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Addition of series and other, element-wise (binary operator add).
----
-
-# Series.add
-
-> danfo.Series.add(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L129)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.add(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 31                   ║
-╟───┼──────────────────────╢
-║ 1 │ 42                   ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 9                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.add(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 3                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 5                    ║
-╟───┼──────────────────────╢
-║ 3 │ 6                    ║
-╟───┼──────────────────────╢
-║ 4 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.and.md b/api-reference-v1-stable/series/series.and.md
deleted file mode 100644
index 85c22cb..0000000
--- a/api-reference-v1-stable/series/series.and.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical AND between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.and
-
-> danfo.Series.and\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical AND between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.and(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical AND between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.and(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ false ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ false ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.append.md b/api-reference-v1-stable/series/series.append.md
deleted file mode 100644
index 53e8f03..0000000
--- a/api-reference-v1-stable/series/series.append.md
+++ /dev/null
@@ -1,135 +0,0 @@
----
-description: Add a new value or values to the end of a Series.
----
-
-# Series.append
-
-danfo.Series.**append**(newValue, index, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1120)]
-
-| Parameters | Type          | Description                                                                                                                | Default |
-| ---------- | ------------- | -------------------------------------------------------------------------------------------------------------------------- | ------- |
-| newValue   | Array, Series | Object to append                                                                                                           |         |
-| index      | Array         | The new index value(s) to append to the Series. Must contain the same number of values as `newValues` as they map `1 - 1`. |         |
-| options    | Object        | <p>{ <br><strong>inplace</strong>: Whether to perform operation in-place or not.</p><p>}</p>                               | false   |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-****
-
-### **Append new Series to the end of a Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-
-new_sf = sf1.append(sf2, ["f5", "f6", "f7"])
-new_sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Append new Series to the end of a Series in-place**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sf2 = new dfd.Series(["a", "b", "c"])
-let newIndex = ["f5", "f6", "f7"]
-
-sf1.append(sf2, newIndex, { inplace: true })
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-```
-
-### **Append an array to the end of Series**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let sf1 = new dfd.Series([1, 2, 3, 4], { index: ['f1', 'f2', 'f3', 'f4'] })
-let sfArr = ["a", "b", "c"]
-
-new_sf = sf1.append(sfArr, ["f5", "f6", "f7"])
-new_sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤═══╗
-║ f1 │ 1 ║
-╟────┼───╢
-║ f2 │ 2 ║
-╟────┼───╢
-║ f3 │ 3 ║
-╟────┼───╢
-║ f4 │ 4 ║
-╟────┼───╢
-║ f5 │ a ║
-╟────┼───╢
-║ f6 │ b ║
-╟────┼───╢
-║ f7 │ c ║
-╚════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.apply.md b/api-reference-v1-stable/series/series.apply.md
deleted file mode 100644
index 7f7050e..0000000
--- a/api-reference-v1-stable/series/series.apply.md
+++ /dev/null
@@ -1,149 +0,0 @@
----
-description: Invoke a function on each value in a Series.
----
-
-# Series.apply
-
-> danfo.series.**apply**(callable, options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L718)]
-
-| Parameters | Type     | Description                                                                                    | Default                               |
-| ---------- | -------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable   | Function | Function (can be anonymous) to apply                                                           |                                       |
-| options    | Object   | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-****
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-let apply_func = (x) => {
-    return x + x
-}
-sf.apply(apply_func).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╟───┼──────────────────────╢
-║ 5 │ 12                   ║
-╟───┼──────────────────────╢
-║ 6 │ 14                   ║
-╟───┼──────────────────────╢
-║ 7 │ 16                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4, 5, 6, 7, 8])
-
-sf.apply(Math.log).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0.6931471805599453   ║
-╟───┼──────────────────────╢
-║ 2 │ 1.0986122886681096   ║
-╟───┼──────────────────────╢
-║ 3 │ 1.3862943611198906   ║
-╟───┼──────────────────────╢
-║ 4 │ 1.6094379124341003   ║
-╟───┼──────────────────────╢
-║ 5 │ 1.791759469228055    ║
-╟───┼──────────────────────╢
-║ 6 │ 1.9459101490553132   ║
-╟───┼──────────────────────╢
-║ 7 │ 2.0794415416798357   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series(["Rice","Beans","Yam","Banana","Wheat"])
-
-sf.apply((x)=>{
-    return x.toLocaleLowerCase()
-}).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ rice                 ║
-╟───┼──────────────────────╢
-║ 1 │ beans                ║
-╟───┼──────────────────────╢
-║ 2 │ yam                  ║
-╟───┼──────────────────────╢
-║ 3 │ banana               ║
-╟───┼──────────────────────╢
-║ 4 │ wheat                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argmax.md b/api-reference-v1-stable/series/series.argmax.md
deleted file mode 100644
index d7927d2..0000000
--- a/api-reference-v1-stable/series/series.argmax.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the largest value in the series
----
-
-# Series.argmax
-
-> danfo.Series.argmax\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L975)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmax()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-7
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argmin.md b/api-reference-v1-stable/series/series.argmin.md
deleted file mode 100644
index dfc661f..0000000
--- a/api-reference-v1-stable/series/series.argmin.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Returns the int position of the smallest value in the series
----
-
-# Series.argmin
-
-> danfo.Series.**argmin**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L987)\]
-
-**Parameters**: None
-
-**Returns**: int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,30,20,40,50,70,90,200,10,20,12]
-let sf = new dfd.Series(data)
-
-sf.argmin()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-0
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.argsort.md b/api-reference-v1-stable/series/series.argsort.md
deleted file mode 100644
index b4608a4..0000000
--- a/api-reference-v1-stable/series/series.argsort.md
+++ /dev/null
@@ -1,75 +0,0 @@
----
-description: Return the integer indices that would sort the Series values
----
-
-# Series.argsort
-
-> danfo.Series.**argsort**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L965\\)]
-
-| Parameters | Type   | Description                            | Default                                               |
-| ---------- | ------ | -------------------------------------- | ----------------------------------------------------- |
-| options    | Object | **ascending**: How to sort the indices | <p>{ <br><strong>ascending</strong>: true</p><p>}</p> |
-
-**Returns:** Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [10, 45, 20, 10, 23, 20, 30, 11]
-let sf = new dfd.Series(data)
-
-sf.argsort().print() //defaults to ascending order
-sf.argsort({ ascending: false }).print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 3                    ║
-╟───┼──────────────────────╢
-║ 2 │ 7                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 4                    ║
-╟───┼──────────────────────╢
-║ 6 │ 6                    ║
-╟───┼──────────────────────╢
-║ 7 │ 1                    ║
-╚═══╧══════════════════════╝
-
-//sorted in descending order
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 6 ║
-╟───┼───╢
-║ 2 │ 4 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╟───┼───╢
-║ 6 │ 0 ║
-╟───┼───╢
-║ 7 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.astype.md b/api-reference-v1-stable/series/series.astype.md
deleted file mode 100644
index 15a61ae..0000000
--- a/api-reference-v1-stable/series/series.astype.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.astype
-
diff --git a/api-reference-v1-stable/series/series.copy.md b/api-reference-v1-stable/series/series.copy.md
deleted file mode 100644
index 9bbdb47..0000000
--- a/api-reference-v1-stable/series/series.copy.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Makes a deep copy of a Series
----
-
-# Series.copy
-
-> danfo.Series.copy()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L569)]
-
-**parameter:** 
-
-**Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.copy()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21091             ║
-╟───┼──────────────────────╢
-║ 1 │ 40.190901            ║
-╟───┼──────────────────────╢
-║ 2 │ 3.564                ║
-╟───┼──────────────────────╢
-║ 3 │ 5.0212               ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.corr.md b/api-reference-v1-stable/series/series.corr.md
deleted file mode 100644
index ee3263f..0000000
--- a/api-reference-v1-stable/series/series.corr.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.corr
-
diff --git a/api-reference-v1-stable/series/series.count.md b/api-reference-v1-stable/series/series.count.md
deleted file mode 100644
index 832c794..0000000
--- a/api-reference-v1-stable/series/series.count.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the total number of values in a series
----
-
-# Series.count
-
-> danfo.Series.count()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L350)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.count())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.cummax.md b/api-reference-v1-stable/series/series.cummax.md
deleted file mode 100644
index 8aded1a..0000000
--- a/api-reference-v1-stable/series/series.cummax.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns cumulative maximum over a series
----
-
-# Series.cummax
-
-> danfo.Series.**cummax**(options)\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L730)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummax().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 3 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 56                   ║
-╟───┼──────────────────────╢
-║ 5 │ 56                   ║
-╟───┼──────────────────────╢
-║ 6 │ 56                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cummin.md b/api-reference-v1-stable/series/series.cummin.md
deleted file mode 100644
index 736cee5..0000000
--- a/api-reference-v1-stable/series/series.cummin.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Returns the cumulative min of a Series
----
-
-# Series.cummin
-
-> danfo.Series.**cummin**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L721)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 5, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cummin().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ 10                   ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 5                    ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumprod.md b/api-reference-v1-stable/series/series.cumprod.md
deleted file mode 100644
index 84ec0e7..0000000
--- a/api-reference-v1-stable/series/series.cumprod.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Return the cumulative product of a series
----
-
-# Series.cumprod
-
-> danfo.Series.**cumprod**()\[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L738)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumprod().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 450                  ║
-╟───┼──────────────────────╢
-║ 2 │ 25200                ║
-╟───┼──────────────────────╢
-║ 3 │ 630000               ║
-╟───┼──────────────────────╢
-║ 4 │ 14490000             ║
-╟───┼──────────────────────╢
-║ 5 │ 289800000            ║
-╟───┼──────────────────────╢
-║ 6 │ 2898000000           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.cumsum.md b/api-reference-v1-stable/series/series.cumsum.md
deleted file mode 100644
index 7b7a19a..0000000
--- a/api-reference-v1-stable/series/series.cumsum.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: Return a cumulative sum of a series
----
-
-# Series.cumsum
-
-> danfo.Series.**cumsum**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L713)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.cumsum().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```markup
-<!DOCTYPE html>
-<html lang="en">
-
-<head>
-    <meta charset="UTF-8">
-    <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.2.4/dist/index.min.js"></script>
-    <title>Document</title>
-</head>
-
-<body>
-
-    <script>
-
-      //danfo is exposed on dfd namespace 
-      s = new dfd.Series([1,2,3,4,5]) 
-
-    </script>
-
-</body>
-
-</html>
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 55                   ║
-╟───┼──────────────────────╢
-║ 2 │ 111                  ║
-╟───┼──────────────────────╢
-║ 3 │ 136                  ║
-╟───┼──────────────────────╢
-║ 4 │ 159                  ║
-╟───┼──────────────────────╢
-║ 5 │ 179                  ║
-╟───┼──────────────────────╢
-║ 6 │ 189                  ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference-v1-stable/series/series.describe.md b/api-reference-v1-stable/series/series.describe.md
deleted file mode 100644
index ce52246..0000000
--- a/api-reference-v1-stable/series/series.describe.md
+++ /dev/null
@@ -1,57 +0,0 @@
----
-description: >-
-  Generate descriptive statistics. Descriptive statistics include those that
-  summarize the central tendency, dispersion and shape of a dataset’s
-  distribution, excluding NaN values
----
-
-# Series.describe
-
-> danfo.Series.describe() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L583)]
-
-**Parameters:** No parameter
-
-**return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = [1,2,3,4,5,6]
-let sf = new dfd.Series(data)
-sf.describe().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔══════════╤══════════════════════╗
-║          │ 0                    ║
-╟──────────┼──────────────────────╢
-║ count    │ 6                    ║
-╟──────────┼──────────────────────╢
-║ mean     │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ std      │ 1.8708286933869707   ║
-╟──────────┼──────────────────────╢
-║ min      │ 1                    ║
-╟──────────┼──────────────────────╢
-║ median   │ 3.5                  ║
-╟──────────┼──────────────────────╢
-║ max      │ 6                    ║
-╟──────────┼──────────────────────╢
-║ variance │ 3.5                  ║
-╚══════════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.div.md b/api-reference-v1-stable/series/series.div.md
deleted file mode 100644
index 656a796..0000000
--- a/api-reference-v1-stable/series/series.div.md
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Floating division of series and other, element-wise (binary operator
-  truediv).
----
-
-# Series.div
-
-> danfo.Series.div(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L188)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-divide with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.div(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 20                   ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1.25                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### divide with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.div(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.5                  ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1.5                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 2.5                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dot.md b/api-reference-v1-stable/series/series.dot.md
deleted file mode 100644
index 61a8bc2..0000000
--- a/api-reference-v1-stable/series/series.dot.md
+++ /dev/null
@@ -1,2 +0,0 @@
-# Series.dot
-
diff --git a/api-reference-v1-stable/series/series.drop_duplicates.md b/api-reference-v1-stable/series/series.drop_duplicates.md
deleted file mode 100644
index 08edf09..0000000
--- a/api-reference-v1-stable/series/series.drop_duplicates.md
+++ /dev/null
@@ -1,121 +0,0 @@
----
-description: Remove duplicate rows
----
-
-# Series.drop\_duplicates
-
-> danfo.Series.**drop\_duplicates**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L1007)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                               |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ------------------------------------- |
-| options    | Object | <p><strong>keep</strong>: "first" | "last", which duplicate value to keep. Defaults to "first".<br><strong>inplace</strong>:  Boolean indicating whether to perform the operation in-place or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Examples**
-
-### Drop duplicate by keeping the first occurrence of the duplicate value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates()
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop duplicate and keep only the last duplicated value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 10, 23, 20, 10, 10]
-let sf = new dfd.Series(data1)
-let sf_drop = sf.drop_duplicates({keep:"last"})
-
-sf_drop.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 2 │ 56                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Remove duplicate value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = ["A", "A", "A", "B", "B", "C", "C", "D"]
-let sf = new dfd.Series(data1)
-sf.drop_duplicates({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ A                    ║
-╟───┼──────────────────────╢
-║ 3 │ B                    ║
-╟───┼──────────────────────╢
-║ 5 │ C                    ║
-╟───┼──────────────────────╢
-║ 7 │ D                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dropna.md b/api-reference-v1-stable/series/series.dropna.md
deleted file mode 100644
index 2fab716..0000000
--- a/api-reference-v1-stable/series/series.dropna.md
+++ /dev/null
@@ -1,91 +0,0 @@
----
-description: Remove missing values from Series
----
-
-# Series.dropna
-
-> danfo.Series.**dropna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L931)]
-
-| Parameters | Type   | Description                                                                                    | Default                             |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ----------------------------------- |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{ <br>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Drop all nan value and then return New Series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.dropna()
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Drop nan values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, undefined, 10, 23, 20, undefined, 10]
-let sf = new dfd.Series(data1)
-sf.dropna({inplace:true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 45                   ║
-╟───┼──────────────────────╢
-║ 3 │ 10                   ║
-╟───┼──────────────────────╢
-║ 4 │ 23                   ║
-╟───┼──────────────────────╢
-║ 5 │ 20                   ║
-╟───┼──────────────────────╢
-║ 7 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.day.md b/api-reference-v1-stable/series/series.dt.day.md
deleted file mode 100644
index 6461fa5..0000000
--- a/api-reference-v1-stable/series/series.dt.day.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the numerical representation of the week day.
----
-
-# Series.dt.day
-
-> danfo.Series.dt.**day**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L216)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2018-01-08'})
-let sf = new dfd.Series(data)
-
-sf.dt.day().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═══╗
-║ 0 │ 6 ║
-╟───┼───╢
-║ 1 │ 0 ║
-╟───┼───╢
-║ 2 │ 1 ║
-╟───┼───╢
-║ 3 │ 2 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 4 ║
-╟───┼───╢
-║ 6 │ 5 ║
-╟───┼───╢
-║ 7 │ 6 ║
-╟───┼───╢
-║ 8 │ 0 ║
-╟───┼───╢
-║ 9 │ 1 ║
-╚═══╧═══╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.hour.md b/api-reference-v1-stable/series/series.dt.hour.md
deleted file mode 100644
index 16369bb..0000000
--- a/api-reference-v1-stable/series/series.dt.hour.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the hours in a time series
----
-
-# Series.dt.hour
-
-> danfo.Series.dt.**hour**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L205)]
-
-**Parameters:** None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"H"})
-let sf = new dfd.Series(data)
-// print series
-sf.print()
-// print hour series
-sf.dt.hours().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 2:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.minute.md b/api-reference-v1-stable/series/series.dt.minute.md
deleted file mode 100644
index ea8bfee..0000000
--- a/api-reference-v1-stable/series/series.dt.minute.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the minutes in a Time Series
----
-
-# Series.dt.minutes
-
-> danfo.Series.dt.**minutes**()  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L292)]
-
-**Parameters**: None
-
-**Returns:** Series (int Elements)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"m"})
-let sf = new dfd.Series(data)
-//print the series
-sf.print()
-//print the minutes series
-sf.dt.minutes().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:01:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:02:00 AM ║
-╚═══╧══════════════════════╝
-
-//print the minutes series
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0                    ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.month.md b/api-reference-v1-stable/series/series.dt.month.md
deleted file mode 100644
index e21eeda..0000000
--- a/api-reference-v1-stable/series/series.dt.month.md
+++ /dev/null
@@ -1,47 +0,0 @@
----
-description: Obtain the month in a date time series
----
-
-# Series.dt.month
-
-> danfo.Series.dt.**month**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L193)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-7-31', "end":'2016-12-08', freq:"M"})
-let sf = new dfd.Series(data)
-
-sf.dt.month().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 0 │ 6  ║
-╟───┼────╢
-║ 1 │ 7  ║
-╟───┼────╢
-║ 2 │ 9  ║
-╟───┼────╢
-║ 3 │ 9  ║
-╟───┼────╢
-║ 4 │ 11 ║
-╟───┼────╢
-║ 5 │ 11 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.month_name.md b/api-reference-v1-stable/series/series.dt.month_name.md
deleted file mode 100644
index 4e83618..0000000
--- a/api-reference-v1-stable/series/series.dt.month_name.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: obtain the month name in a Time Series
----
-
-# Series.dt.month\_name
-
-> danfo.Series.dt.month\_name()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L241)]
-
-**Parameters**: None
-
-**Returns:** Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2018-01', freq:'M', period:3})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print month names
-sf.dt.month_name().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 2/1/2018, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 3/1/2018, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═════╗
-║ 0 │ Jan ║
-╟───┼─────╢
-║ 1 │ Feb ║
-╟───┼─────╢
-║ 2 │ Mar ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.monthday.md b/api-reference-v1-stable/series/series.dt.monthday.md
deleted file mode 100644
index b385f17..0000000
--- a/api-reference-v1-stable/series/series.dt.monthday.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the day of the month
----
-
-# Series.dt.monthday
-
-> danfo.Series.dt.**monthday**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L268)]
-
-**Parameters:** None
-
-**Returns**: Series (Int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:4, freq:"D"})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print monthdays
-sf.dt.monthday().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/2/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/3/2000, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.second.md b/api-reference-v1-stable/series/series.dt.second.md
deleted file mode 100644
index 43330be..0000000
--- a/api-reference-v1-stable/series/series.dt.second.md
+++ /dev/null
@@ -1,60 +0,0 @@
----
-description: Obtain the seconds in Date series
----
-
-# Series.dt.seconds
-
-> danfo.Series.dt.**seconds**()   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L280)]
-
-**Parameters**: None
-
-**Returns:** Series (Int elements)
-
-**Example**
-
-Obtain the seconds of the datetime
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"s"})
-let sf = new dfd.Series(data)
-//print the series frame
-sf.print()
-
-//print the seconds obtained
-sf.dt.seconds().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2000, 1:00:01 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2000, 1:00:02 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤═══╗
-║ 0 │ 0 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 2 ║
-╚═══╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.dt.weekdays.md b/api-reference-v1-stable/series/series.dt.weekdays.md
deleted file mode 100644
index 04dbe18..0000000
--- a/api-reference-v1-stable/series/series.dt.weekdays.md
+++ /dev/null
@@ -1,79 +0,0 @@
----
-description: Obtain the days of the weeks
----
-
-# Series.dt.weekdays
-
-> danfo.Series.dt.**weekdays**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L255)]
-
-**Parameters**: None
-
-**Returns:** Series (String elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":'2016-12-31', "end":'2017-01-08'})
-let sf = new dfd.Series(data)
-//print series
-sf.print()
-//print days of the week
-sf.dt.weekdays().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════════════════════════╗
-║ 0 │ 12/31/2016, 1:00:00 AM ║
-╟───┼────────────────────────╢
-║ 1 │ 1/1/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 2 │ 1/2/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 3 │ 1/3/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 4 │ 1/4/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 5 │ 1/5/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 6 │ 1/6/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 7 │ 1/7/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 8 │ 1/8/2017, 1:00:00 AM   ║
-╟───┼────────────────────────╢
-║ 9 │ 1/9/2017, 1:00:00 AM   ║
-╚═══╧════════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ Sat  ║
-╟───┼──────╢
-║ 1 │ Sun  ║
-╟───┼──────╢
-║ 2 │ Mon  ║
-╟───┼──────╢
-║ 3 │ Tue  ║
-╟───┼──────╢
-║ 4 │ Wed  ║
-╟───┼──────╢
-║ 5 │ Thur ║
-╟───┼──────╢
-║ 6 │ Fri  ║
-╟───┼──────╢
-║ 7 │ Sat  ║
-╟───┼──────╢
-║ 8 │ Sun  ║
-╟───┼──────╢
-║ 9 │ Mon  ║
-╚═══╧══════╝
-```
diff --git a/api-reference-v1-stable/series/series.dt.year.md b/api-reference-v1-stable/series/series.dt.year.md
deleted file mode 100644
index ed1117f..0000000
--- a/api-reference-v1-stable/series/series.dt.year.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Obtain the year in a date time series
----
-
-# Series.dt.year
-
-> danfo.Series.dt.**year**()    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/timeseries.js#L228)]
-
-**Parameters**: None
-
-**Returns:** Series (int elements)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = new dfd.date_range({"start":"2000-01-01", period:3, freq:"Y"})
-let sf = new dfd.Series(data)
-sf.print()
-sf.dt.year().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-//print date time series
-╔═══╤══════════════════════╗
-║ 0 │ 1/1/2000, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 1 │ 1/1/2001, 1:00:00 AM ║
-╟───┼──────────────────────╢
-║ 2 │ 1/1/2002, 1:00:00 AM ║
-╚═══╧══════════════════════╝
-
-╔═══╤══════╗
-║ 0 │ 2000 ║
-╟───┼──────╢
-║ 1 │ 2001 ║
-╟───┼──────╢
-║ 2 │ 2002 ║
-╚═══╧══════╝
-```
diff --git a/api-reference-v1-stable/series/series.dtype.md b/api-reference-v1-stable/series/series.dtype.md
deleted file mode 100644
index 75b4614..0000000
--- a/api-reference-v1-stable/series/series.dtype.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dtype of a series
----
-
-# Series.dtype
-
-> danfo.Series.dtype  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L197)]
-
-**Parameters**: None
-
-**Returns:** String
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.dtype)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-float32
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.eq.md b/api-reference-v1-stable/series/series.eq.md
deleted file mode 100644
index 43a3ece..0000000
--- a/api-reference-v1-stable/series/series.eq.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check all the values in a series is equal to another value
----
-
-# Series.eq
-
-> danfo.Series.eq(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L894)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Examples**
-
-Compare all the values in a series to another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.eq(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check it all the values are equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.eq(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.fillna.md b/api-reference-v1-stable/series/series.fillna.md
deleted file mode 100644
index a1db3a8..0000000
--- a/api-reference-v1-stable/series/series.fillna.md
+++ /dev/null
@@ -1,106 +0,0 @@
----
-description: Replace all NaN value with specified value
----
-
-# Series.fillna
-
-> danfo.Series.**fillna**(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L470)]
-
-| Parameters | Type   | Description                                                                                                                                                                                        | Default                               |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p><strong>value</strong>: The value to replace all missing value with. </p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Examples**
-
-### Fill nan value and then return new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-
-let sf_rep = sf.fillna({ value: -999})
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Fill nan value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, 1, 2, 33, 4, NaN, 5, 6, 7, 8]
-let sf = new dfd.Series(data1)
-sf.fillna({ value: -999, inplace: true })
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -999                 ║
-╟───┼──────────────────────╢
-║ 1 │ 1                    ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 33                   ║
-╟───┼──────────────────────╢
-║ 4 │ 4                    ║
-╟───┼──────────────────────╢
-║ 5 │ -999                 ║
-╟───┼──────────────────────╢
-║ 6 │ 5                    ║
-╟───┼──────────────────────╢
-║ 7 │ 6                    ║
-╟───┼──────────────────────╢
-║ 8 │ 7                    ║
-╟───┼──────────────────────╢
-║ 9 │ 8                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ge.md b/api-reference-v1-stable/series/series.ge.md
deleted file mode 100644
index 0fb1aeb..0000000
--- a/api-reference-v1-stable/series/series.ge.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the values in a series is greater than or equal a value
----
-
-# Series.ge
-
-> danfo.Series.ge(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L874)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns:** Series (Boolean element)
-
-**Example**
-
-Compare all the value in a Series to the values in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ge(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Check if all the value in a Series is greater than or equal a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ge(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.gt.md b/api-reference-v1-stable/series/series.gt.md
deleted file mode 100644
index 184ca28..0000000
--- a/api-reference-v1-stable/series/series.gt.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all the value in a series is greater than a value
----
-
-# Series.gt
-
-> danfo.Series.gt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L856)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are greater than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.gt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are greater than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.gt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.head.md b/api-reference-v1-stable/series/series.head.md
deleted file mode 100644
index 2892263..0000000
--- a/api-reference-v1-stable/series/series.head.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Obtain the first n rows for the object based on position.
----
-
-# Series.head
-
-> danfo.Series.head\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of first n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.head().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.iloc.md b/api-reference-v1-stable/series/series.iloc.md
deleted file mode 100644
index ab7d1f3..0000000
--- a/api-reference-v1-stable/series/series.iloc.md
+++ /dev/null
@@ -1,158 +0,0 @@
-# Series.iloc
-
-danfo.Series.**iloc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-`.iloc()` is primarily integer position based (from `0` to `length-1` of the axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `5`.
-* A list or array of integers, e.g. `[4, 3, 0]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `"1:7"`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.iloc` will raise`IndexError` if a requested indexer is out-of-bounds.
-
-### **Indexing specific rows by index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc([0,5]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The [**iloc**](../dataframe/danfo.dataframe.iloc.md) function also accepts string slices of the form \[start: end], e.g "\[0: 5]". This will return all values from index positions 0 to 4.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["0:5"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 12                   ║
-╟───┼──────────────────────╢
-║ 1 │ 34                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2.2                  ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 30                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-By specifying a start index in a slice, all values after that index are returned.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(["5:"]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 5 │ 30                   ║
-╟───┼──────────────────────╢
-║ 6 │ 2.1                  ║
-╟───┼──────────────────────╢
-║ 7 │ 7                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.iloc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.index.md b/api-reference-v1-stable/series/series.index.md
deleted file mode 100644
index 1cc95da..0000000
--- a/api-reference-v1-stable/series/series.index.md
+++ /dev/null
@@ -1,33 +0,0 @@
----
-description: Obtain the index of a Series
----
-
-# Series.index
-
-> danfo.Series.index     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L234)\]
-
-**Returns**: Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.index)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 0, 1, 2, 3 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.isna.md b/api-reference-v1-stable/series/series.isna.md
deleted file mode 100644
index cdf6343..0000000
--- a/api-reference-v1-stable/series/series.isna.md
+++ /dev/null
@@ -1,45 +0,0 @@
----
-description: Detect Missing values
----
-
-# Series.isna
-
-> danfo.Series.**isna**\(\)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L449)\]
-
-**Parameters**: None
-
-**Returns**:  Series \(Boolean element\)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [NaN, undefined, "girl", "Man"]
-let sf = new dfd.Series(data1)
-
-sf.isna().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.le.md b/api-reference-v1-stable/series/series.le.md
deleted file mode 100644
index 44006e2..0000000
--- a/api-reference-v1-stable/series/series.le.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all the values in a series is less than or equal to a value
----
-
-# Series.le
-
-> danfo.Series.le(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L865)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns:** Series (Boolean Element)
-
-**Example**
-
-Check if all the values in a series is less than or equal to a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.le(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ false                ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than equal to values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.le(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ true                 ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.loc.md b/api-reference-v1-stable/series/series.loc.md
deleted file mode 100644
index 13772ab..0000000
--- a/api-reference-v1-stable/series/series.loc.md
+++ /dev/null
@@ -1,198 +0,0 @@
----
-description: Access a group of rows by label(s) or a boolean array.
----
-
-# Series.loc
-
-danfo.Series.**loc**() \[[source](https://github.com/opensource9ja/danfojs/blob/fe56860b0a303d218d60ba71dee6abf594401556/danfojs/src/core/frame.js#L254)]
-
-| Parameters | Type           | Description                                                             | Default |
-| ---------- | -------------- | ----------------------------------------------------------------------- | ------- |
-| rows       | Array, String  | Array, string slice, index of row positions boolean mask to filter by.  |         |
-
-**Returns:**
-
-&#x20;      ****       return **Series**
-
-## **Examples**
-
-`.loc()` is  label position based (from `0` to `length-1` of the row axis).
-
-Allowed inputs are:
-
-* An integer, e.g. `"r1"`.
-* A list or array of integers, e.g. `["a", "b", "d"]`.
-* A boolean mask. E.g \[ true, false, false ]
-* A string slice object with ints, e.g. `[`'`"a":"d"'], ["1:4"]`
-
-_**Note:** only **** the start label is included, and the end label is ignored._&#x20;
-
-`.loc` will raise a `ValueEror` if a requested label is not found.
-
-### **Indexing by specific row index**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc(["a", "g"]).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╟───┼─────╢
-║ e │ 30  ║
-╟───┼─────╢
-║ f │ 30  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╟───┼─────╢
-║ h │ 7   ║
-╚═══╧═════╝
-
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ g │ 2.1 ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Index by a slice of row**
-
-The **loc** function also accepts string slices of the form \[start: end], e.g **\[\`"a":"e"\`]**. This will return all values from label positions `a` to `e`.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-const index = ["a", "b", "c", "d", "e", "f", "g", "h"]
-let s = new dfd.Series(data, { index })
-s.print()
-
-s.loc([`"a":"e"`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ a │ 12  ║
-╟───┼─────╢
-║ b │ 34  ║
-╟───┼─────╢
-║ c │ 2.2 ║
-╟───┼─────╢
-║ d │ 2   ║
-╚═══╧═════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% hint style="info" %}
-Note that when using loc. We expect you to pass labels in the correct format. That is, string labels must be explicitly quoted. For example, the following loc slice will throw an error:\
-`s.loc([a:e]).print()`\
-For the slice above to work, you must quote each slice, e.g:\
-`s.loc(["a":"e"]).print()`\
-\
-_**Inner quotes are not needed for numeric indices!**_
-{% endhint %}
-
-### By specifying a start index in a slice, all values after that index are returned.&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const data = [12, 34, 2.2, 2, 30, 30, 2.1, 7]
-let s = new dfd.Series(data)
-
-s.loc([`1:`]).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 1 │ 34  ║
-╟───┼─────╢
-║ 2 │ 2.2 ║
-╟───┼─────╢
-║ 3 │ 2   ║
-╟───┼─────╢
-║ 4 │ 30  ║
-╟───┼─────╢
-║ 5 │ 30  ║
-╟───┼─────╢
-║ 6 │ 2.1 ║
-╟───┼─────╢
-║ 7 │ 7   ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Slice Series by boolean condition&#x20;
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let s = new dfd.Series([12, 34, 2.2, 2, 30, 30, 2.1, 7])
-s.loc(s.gt(20)).print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤════╗
-║ 1 │ 34 ║
-╟───┼────╢
-║ 4 │ 30 ║
-╟───┼────╢
-║ 5 │ 30 ║
-╚═══╧════╝
-```
diff --git a/api-reference-v1-stable/series/series.lt.md b/api-reference-v1-stable/series/series.lt.md
deleted file mode 100644
index 7af18bc..0000000
--- a/api-reference-v1-stable/series/series.lt.md
+++ /dev/null
@@ -1,96 +0,0 @@
----
-description: Check if all values in a Series are less than a value.
----
-
-# Series.lt
-
-> danfo.Series.lt(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L847)]
-
-| Parameters | Type                    | Description         | Default |
-| ---------- | ----------------------- | ------------------- | ------- |
-| other      | Series, Array or number | value(s) to compare |         |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-Check if all the values in a series are less than a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.lt(20).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-check if all the values in a series are less than values in another series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.lt(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ false                ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ false                ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.map.md b/api-reference-v1-stable/series/series.map.md
deleted file mode 100644
index 0e0850a..0000000
--- a/api-reference-v1-stable/series/series.map.md
+++ /dev/null
@@ -1,92 +0,0 @@
----
-description: Map the value of a series to a function or Object
----
-
-# Series.map
-
-> danfo.series.**map**(callable) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L685)]
-
-| Parameter | Type               | Description                                                                                    | Default                               |
-| --------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| callable  | Function or Object | A function or object({})                                                                       |                                       |
-| options   | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Example**
-
-Mapping the element in a Series  words in an Object
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1, 2, 3, 4])
-let map = { 1: "ok", 2: "okie", 3: "frit", 4: "gop" }
-sf.map(map).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ ok                   ║
-╟───┼──────────────────────╢
-║ 1 │ okie                 ║
-╟───┼──────────────────────╢
-║ 2 │ frit                 ║
-╟───┼──────────────────────╢
-║ 3 │ gop                  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Mapping values in a Series to a representation using functions.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let sf = new dfd.Series([1,2,3,4])
-
-sf.map((x)=>{
-    return `I have ${x} cat(s)`
-}).print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ I have 1 cat(s)      ║
-╟───┼──────────────────────╢
-║ 1 │ I have 2 cat(s)      ║
-╟───┼──────────────────────╢
-║ 2 │ I have 3 cat(s)      ║
-╟───┼──────────────────────╢
-║ 3 │ I have 4 cat(s)      ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.max.md b/api-reference-v1-stable/series/series.max.md
deleted file mode 100644
index 4f7193a..0000000
--- a/api-reference-v1-stable/series/series.max.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the maximum value in a Series
----
-
-# Series.max
-
-> danfo.Series.max()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L317)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.max())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-89
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.maximum.md b/api-reference-v1-stable/series/series.maximum.md
deleted file mode 100644
index afc5a48..0000000
--- a/api-reference-v1-stable/series/series.maximum.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Obtain the maximum number between two series
----
-
-# Series.maximum
-
-> danfo.Series.maximum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L363)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.maximum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 41                   ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 5                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.mean.md b/api-reference-v1-stable/series/series.mean.md
deleted file mode 100644
index 17d97e6..0000000
--- a/api-reference-v1-stable/series/series.mean.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the mean of a series
----
-
-# Series.mean
-
-> danfo.Series.mean()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L253)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mean())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-23.000001907348633
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.median.md b/api-reference-v1-stable/series/series.median.md
deleted file mode 100644
index d1cde75..0000000
--- a/api-reference-v1-stable/series/series.median.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the median of a series
----
-
-# Series.median
-
-> danfo.Series.median()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L274)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.median())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-4
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.min.md b/api-reference-v1-stable/series/series.min.md
deleted file mode 100644
index 6e11a67..0000000
--- a/api-reference-v1-stable/series/series.min.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the minimum value in a series
----
-
-# Series.min
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.min())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-0
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.minimum.md b/api-reference-v1-stable/series/series.minimum.md
deleted file mode 100644
index a06ba69..0000000
--- a/api-reference-v1-stable/series/series.minimum.md
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: Obtain the minimum value between two series (element wise)
----
-
-# Series.minimum
-
-> danfo.Series.minimum\(other\)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L383)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series | series to match |  |
-
-**Return:** {Series}
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [10, 41, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.minimum(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 10                   ║
-╟───┼──────────────────────╢
-║ 1 │ 40                   ║
-╟───┼──────────────────────╢
-║ 2 │ 2                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.mod.md b/api-reference-v1-stable/series/series.mod.md
deleted file mode 100644
index fdf0555..0000000
--- a/api-reference-v1-stable/series/series.mod.md
+++ /dev/null
@@ -1,85 +0,0 @@
----
-description: Return Modulo of series and other, element-wise (binary operator mod).
----
-
-# Series.mod
-
-> danfo.Series.mod(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L235)]
-
-| Parameters | Type               | Description                                                                                    | Default                               |
-| ---------- | ------------------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\|float | values                                                                                         |                                       |
-| options    | Object             | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Modulus with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 30, 4, 5]
-let data2 = [1.1, 2.2, 3.3, 2.4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mod(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 0.8999999761581421   ║
-╟───┼──────────────────────╢
-║ 1 │ 1.3999993801116943   ║
-╟───┼──────────────────────╢
-║ 2 │ 0.7000000476837158   ║
-╟───┼──────────────────────╢
-║ 3 │ 0.19999980926513672  ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Modulo with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mod(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 0                    ║
-╟───┼──────────────────────╢
-║ 4 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.mode.md b/api-reference-v1-stable/series/series.mode.md
deleted file mode 100644
index 6077686..0000000
--- a/api-reference-v1-stable/series/series.mode.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Obtain the center value in a series
----
-
-# Series.mode
-
-> danfo.Series.min()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L303)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.mode())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-[ 4 ]
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.mul.md b/api-reference-v1-stable/series/series.mul.md
deleted file mode 100644
index d5d33de..0000000
--- a/api-reference-v1-stable/series/series.mul.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Multiplication of series and other, element-wise (binary operator mul).
----
-
-# Series.mul
-
-> danfo.Series.mul(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L168)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-multiplication with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.mul(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30                   ║
-╟───┼──────────────────────╢
-║ 1 │ 80                   ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 20                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-multiply with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.mul(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 6                    ║
-╟───┼──────────────────────╢
-║ 3 │ 8                    ║
-╟───┼──────────────────────╢
-║ 4 │ 10                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.ndim.md b/api-reference-v1-stable/series/series.ndim.md
deleted file mode 100644
index 8623e80..0000000
--- a/api-reference-v1-stable/series/series.ndim.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Obtain the dimension of a series
----
-
-# Series.ndim
-
-> danfo.Series.ndim  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L209)]
-
-**Parameters:** None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.ndim)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-1
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.ne.md b/api-reference-v1-stable/series/series.ne.md
deleted file mode 100644
index 16cf1dc..0000000
--- a/api-reference-v1-stable/series/series.ne.md
+++ /dev/null
@@ -1,95 +0,0 @@
----
-description: Check if all values in a  series is not equal to a value(s)
----
-
-# Series.ne
-
-> danfo.Series.ne(other)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L883)]
-
-| Parameters | Type                    | Description       | Default |
-| ---------- | ----------------------- | ----------------- | ------- |
-| other      | Series, Array or number |  value to compare |         |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-Compare all the values in a series to that in another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let data2 = [10, 450, 56, 5, 25, 2, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-
-sf1.ne(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Compare all the values in a Series to a value.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf1 = new dfd.Series(data1)
-
-sf1.ne(10).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╟───┼──────────────────────╢
-║ 4 │ true                 ║
-╟───┼──────────────────────╢
-║ 5 │ true                 ║
-╟───┼──────────────────────╢
-║ 6 │ false                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.nunique.md b/api-reference-v1-stable/series/series.nunique.md
deleted file mode 100644
index 092a2eb..0000000
--- a/api-reference-v1-stable/series/series.nunique.md
+++ /dev/null
@@ -1,34 +0,0 @@
----
-description: Returns the number of unique values in a series
----
-
-# Series.nunique
-
-> danfo.Series.**nunique**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters**: None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-console.log(sf.nunique())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Ouptut" %}
-```
-9
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.or.md b/api-reference-v1-stable/series/series.or.md
deleted file mode 100644
index 948c61d..0000000
--- a/api-reference-v1-stable/series/series.or.md
+++ /dev/null
@@ -1,132 +0,0 @@
----
-description: >-
-  Returns the logical OR between Series and other. Supports element wise
-  operations and broadcasting.
----
-
-# Series.or
-
-> danfo.Series.**or**\(other\)    \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/series.js#L1243)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| other | Series, Scalar, Array of Scalars | Data to compare with |  |
-
- **Return:** Series
-
-### **Logical OR between two Series object**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let sf2 = new dfd.Series(data2);
-let res = sf.or(sf2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between Series and Array of the same length**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [false, false, false, true, false, false, true];
-let data2 = [false, false, false, false, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(data2)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### **Logical OR between a Series and single value with broadcasting**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data1 = [false, false, false, true, false, false, true];
-
-let sf = new dfd.Series(data1);
-let res = sf.or(false)
-res.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤═══════╗
-║ 0 │ false ║
-╟───┼───────╢
-║ 1 │ false ║
-╟───┼───────╢
-║ 2 │ false ║
-╟───┼───────╢
-║ 3 │ true  ║
-╟───┼───────╢
-║ 4 │ false ║
-╟───┼───────╢
-║ 5 │ false ║
-╟───┼───────╢
-║ 6 │ true  ║
-╚═══╧═══════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.pow.md b/api-reference-v1-stable/series/series.pow.md
deleted file mode 100644
index 2fbe542..0000000
--- a/api-reference-v1-stable/series/series.pow.md
+++ /dev/null
@@ -1,87 +0,0 @@
----
-description: >-
-  Return Exponential power of series and other, element-wise (binary operator
-  pow).
----
-
-# Series.pow
-
-> danfo.Series.pow(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L216)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-Exponential power with values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [2, 3, 4, 5]
-let data2 = [1, 2, 3, 0]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.pow(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 2                    ║
-╟───┼──────────────────────╢
-║ 1 │ 9                    ║
-╟───┼──────────────────────╢
-║ 2 │ 64                   ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Exponential value with a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.pow(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 4                    ║
-╟───┼──────────────────────╢
-║ 2 │ 9                    ║
-╟───┼──────────────────────╢
-║ 3 │ 16                   ║
-╟───┼──────────────────────╢
-║ 4 │ 25                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.replace.md b/api-reference-v1-stable/series/series.replace.md
deleted file mode 100644
index 8a1f48b..0000000
--- a/api-reference-v1-stable/series/series.replace.md
+++ /dev/null
@@ -1,89 +0,0 @@
----
-description: Replace values given in replace param with value
----
-
-# Series.replace
-
-> danfo.Series.**replace**(options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L892)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                               |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------- |
-| options    | Object | <p> <strong>oldValue</strong>: The value you want to replace</p><p><strong>newValue</strong>: The new value you want to replace the old value with</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not</p> | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Examples**
-
-### Replace a value in a series and return a new series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-let sf_rep = sf.replace({ oldValue: 10, newValue: -50 })
-
-sf_rep.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-### Replace a value in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [10, 45, 56, 25, 23, 20, 10]
-let sf = new dfd.Series(data1)
-sf.replace({ oldValue: 10, newValue: -50, inplace: true})
-
-sf.print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤═════╗
-║ 0 │ -50 ║
-╟───┼─────╢
-║ 1 │ 45  ║
-╟───┼─────╢
-║ 2 │ 56  ║
-╟───┼─────╢
-║ 3 │ 25  ║
-╟───┼─────╢
-║ 4 │ 23  ║
-╟───┼─────╢
-║ 5 │ 20  ║
-╟───┼─────╢
-║ 6 │ -50 ║
-╚═══╧═════╝
-
-```
diff --git a/api-reference-v1-stable/series/series.reset_index.md b/api-reference-v1-stable/series/series.reset_index.md
deleted file mode 100644
index c51497a..0000000
--- a/api-reference-v1-stable/series/series.reset_index.md
+++ /dev/null
@@ -1,113 +0,0 @@
----
-description: Reset the index of a series.
----
-
-# Series.reset\_index
-
-> danfo.series.reset\_index(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L614)]
-
-| Parameters | Type   | Description                                                                                         | Default          |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------- | ---------------- |
-| options    | Object |  **inplace:** Boolean indicating whether to perform the operation inplace or not. Defaults to false | { inplace:false} |
-
-**Returns :** Series
-
-`reset_index` is useful when the index needs to be treated as a column, or when the index is meaningless and needs to be reset to default, before another operation.
-
-### **Reset index to default values**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [20, 30, 40]
-let sf = new dfd.Series(data, { index: ["a", "b", "c"] })
-sf.print()
-
-let sf_reset = sf.reset_index()
-sf_reset.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ a │ 20 ║
-╟───┼────╢
-║ b │ 30 ║
-╟───┼────╢
-║ c │ 40 ║
-╚═══╧════╝
-
-╔═══╤════╗
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 2 │ 40 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Reset index to new values in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data, { index: ['a', 'b', 'c', 'd', 'e', 'f'] })
-sf.print()
-
-sf.reset_index({ inplace: true })
-sf.print()
-
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ a │ 1 ║
-╟───┼───╢
-║ b │ 2 ║
-╟───┼───╢
-║ c │ 3 ║
-╟───┼───╢
-║ d │ 4 ║
-╟───┼───╢
-║ e │ 5 ║
-╟───┼───╢
-║ f │ 6 ║
-╚═══╧═══╝
-
-╔═══╤═══╗
-║ 0 │ 1 ║
-╟───┼───╢
-║ 1 │ 2 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 4 ║
-╟───┼───╢
-║ 4 │ 5 ║
-╟───┼───╢
-║ 5 │ 6 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.round.md b/api-reference-v1-stable/series/series.round.md
deleted file mode 100644
index b6f0d82..0000000
--- a/api-reference-v1-stable/series/series.round.md
+++ /dev/null
@@ -1,48 +0,0 @@
----
-description: round off floating values in series
----
-
-# Series.round
-
-> danfo.Series.round(dp, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L404)]
-
-| Parameters | Type   | Description                                                                                    | Default                               |
-| ---------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| dp         | int    | decimal place to round off to                                                                  |                                       |
-| options    | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-sf1.round(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 30.21                ║
-╟───┼──────────────────────╢
-║ 1 │ 40.19                ║
-╟───┼──────────────────────╢
-║ 2 │ 3.56                 ║
-╟───┼──────────────────────╢
-║ 3 │ 5.02                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.sample.md b/api-reference-v1-stable/series/series.sample.md
deleted file mode 100644
index a28298d..0000000
--- a/api-reference-v1-stable/series/series.sample.md
+++ /dev/null
@@ -1,65 +0,0 @@
----
-description: Return a random sample of items from an axis of object.
----
-
-# Series.sample
-
-> danfo.Series.sample(num)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L98)]
-
-| Parameters | Type   | Description                                                                                                                                  | Default                        |
-| ---------- | ------ | -------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------ |
-| num        | Int    | The number of rows to return.                                                                                                                |                                |
-| options    | Object | **seed**: An integer specifying the random seed that will be used to create the distribution. Ensures reproducibility of generated samples.  | <p>{</p><p>seed: 1</p><p>}</p> |
-
-**Returns:**
-
-&#x20;      ****       return **{Promies} resolves to Series**
-
-**Example**
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-  let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-  let sf1 = new dfd.Series(data1);
-  let sample = await sf1.sample(5)
-  sample.print()
-  
-}
-load_data()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤════╗
-║ 2 │ 3  ║
-╟───┼────╢
-║ 4 │ 5  ║
-╟───┼────╢
-║ 0 │ 1  ║
-╟───┼────╢
-║ 7 │ 40 ║
-╟───┼────╢
-║ 6 │ 30 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Specify a seed when sampling
-
-```javascript
-const dfd = require("danfojs-node")
-
-async function load_data() {
-    let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78];
-    let sf1 = new dfd.Series(data1);
-    let sample = await sf1.sample(5, { seed: 2 })
-    sample.print()
-
-}
-load_data()
-
-```
diff --git a/api-reference-v1-stable/series/series.set_index.md b/api-reference-v1-stable/series/series.set_index.md
deleted file mode 100644
index 3de352f..0000000
--- a/api-reference-v1-stable/series/series.set_index.md
+++ /dev/null
@@ -1,136 +0,0 @@
----
-description: Assign new Index to Series
----
-
-# Series.set\_index
-
-> danfo.series.**set\_index(**options**)** \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L635)]
-
-| Parameter | Type   | Description                                                                                    | Default                               |
-| --------- | ------ | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| index     | Array  | new index values                                                                               |                                       |
-| options   | Object | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-let data = [{ alpha: "A", count: 1 }, { alpha: "B", count: 2 }, { alpha: "C", count: 3 }]
-let sf = new dfd.Series(data)
-sf.print()
-
-let sf_new = sf.set_index({ "index": ["one", "two", "three"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═════════════════════════╗
-║ 0 │ {"alpha":"A","count":1} ║
-╟───┼─────────────────────────╢
-║ 1 │ {"alpha":"B","count":2} ║
-╟───┼─────────────────────────╢
-║ 2 │ {"alpha":"C","count":3} ║
-╚═══╧═════════════════════════╝
-
-╔═══════╤═════════════════════════╗
-║ one   │ {"alpha":"A","count":1} ║
-╟───────┼─────────────────────────╢
-║ two   │ {"alpha":"B","count":2} ║
-╟───────┼─────────────────────────╢
-║ three │ {"alpha":"C","count":3} ║
-╚═══════╧═════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["Humans","Life","Meaning","Fact","Truth"]
-let sf = new dfd.Series(data)
-let sf_new = sf.set_index({ "index": ["H", "L", "M","F","T"] })
-sf_new.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ H │ Humans               ║
-╟───┼──────────────────────╢
-║ L │ Life                 ║
-╟───┼──────────────────────╢
-║ M │ Meaning              ║
-╟───┼──────────────────────╢
-║ F │ Fact                 ║
-╟───┼──────────────────────╢
-║ T │ Truth                ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Set index in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs")
-
-let data = [1, 2, 3, 4, 5, 6]
-let sf = new dfd.Series(data)
-sf.set_index({ index: ["one", "two", "three", "four", "five", "six"], inplace: true })
-sf.print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══════╤═══╗
-║ one   │ 1 ║
-╟───────┼───╢
-║ two   │ 2 ║
-╟───────┼───╢
-║ three │ 3 ║
-╟───────┼───╢
-║ four  │ 4 ║
-╟───────┼───╢
-║ five  │ 5 ║
-╟───────┼───╢
-║ six   │ 6 ║
-╚═══════╧═══╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.shape.md b/api-reference-v1-stable/series/series.shape.md
deleted file mode 100644
index 9eb5031..0000000
--- a/api-reference-v1-stable/series/series.shape.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the shape of a Series
----
-
-# Series.shape
-
-> danfo.Series.shape  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L266)\]
-
-**Parameters**: None
-
-**Returns**:  Array \[int, int\]
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.shape)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 4, 1 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.size.md b/api-reference-v1-stable/series/series.size.md
deleted file mode 100644
index 9665b65..0000000
--- a/api-reference-v1-stable/series/series.size.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-description: Obtain the size of a series
----
-
-# Series.size
-
-> danfo.Series.size  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L305)\]
-
-**Parameters**: None
-
-**Returns:** int
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.size)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-4
-```
-{% endtab %}
-{% endtabs %}
-
-
-
diff --git a/api-reference-v1-stable/series/series.sort_values.md b/api-reference-v1-stable/series/series.sort_values.md
deleted file mode 100644
index 5c7e5fa..0000000
--- a/api-reference-v1-stable/series/series.sort_values.md
+++ /dev/null
@@ -1,140 +0,0 @@
----
-description: Sorts a Series in ascending or descending order
----
-
-# Series.sort_values
-
-> danfo.Series.sort_values(options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L511)]
-
-| Parameters | Type   | Description                                                                                                                                                                                                                           | Default                                                   |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- |
-| options    | Object | <p><strong>inplace</strong>: Boolean indicating whether to perform the operation in-place or not. Defaults to false</p><p><strong>ascending</strong>: Whether to return sorted values in ascending order or not. Defaults to true</p> | <p>{<br>ascending: true,</p><p>inplace: false</p><p>}</p> |
-
-  **Return:** Series
-
-### Sort values in a Series 
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = sf1.sort_values()
-
-sf2.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
-
-### Sort Series in-place
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ inplace: true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 7 │ 0  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 6 │ 89 ║
-╚═══╧════╝
-
-```
-{% endtab %}
-{% endtabs %}
-
-Sort Series values in descending order
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-sf1.sort_values({ "ascending": false, "inplace": true })
-
-sf1.print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════╗
-║ 6 │ 89 ║
-╟───┼────╢
-║ 5 │ 57 ║
-╟───┼────╢
-║ 1 │ 30 ║
-╟───┼────╢
-║ 0 │ 20 ║
-╟───┼────╢
-║ 4 │ 4  ║
-╟───┼────╢
-║ 8 │ 4  ║
-╟───┼────╢
-║ 3 │ 2  ║
-╟───┼────╢
-║ 2 │ 1  ║
-╟───┼────╢
-║ 7 │ 0  ║
-╚═══╧════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.std.md b/api-reference-v1-stable/series/series.std.md
deleted file mode 100644
index aa05018..0000000
--- a/api-reference-v1-stable/series/series.std.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-description: Obtain the standard deviation for a series
----
-
-# Series.std
-
-> danfo.Series.std()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L422)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.std())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-31.11671576500322
-```
-{% endtab %}
-{% endtabs %}
-
-&#x20;****&#x20;
-
diff --git a/api-reference-v1-stable/series/series.str.capitalize.md b/api-reference-v1-stable/series/series.str.capitalize.md
deleted file mode 100644
index aea9e91..0000000
--- a/api-reference-v1-stable/series/series.str.capitalize.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Capitalize the first character of each string
----
-
-# Series.str.capitalize
-
-> danfo.Series.str.**capitalize**(options)       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L46)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert  the first character of a string to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'capitals', 'sentence', 'swApCaSe']
-let sf = new dfd.Series(data)
-sf.str.capitalize().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ Lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ Capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ Sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ Swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.charat.md b/api-reference-v1-stable/series/series.str.charat.md
deleted file mode 100644
index 931bb48..0000000
--- a/api-reference-v1-stable/series/series.str.charat.md
+++ /dev/null
@@ -1,53 +0,0 @@
----
-description: Obtain the character at the specified index (position)
----
-
-# Series.str.charAt
-
-> danfo.Series.str.**charAt**(index)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L64)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| index      | int    | the index at which to obtain the character                      | 0                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (Character element)
-
-**Example**
-
-Obtain the character at index 2 of all string elements in the series.
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.charAt(2).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ w                    ║
-╟───┼──────────────────────╢
-║ 1 │ P                    ║
-╟───┼──────────────────────╢
-║ 2 │ n                    ║
-╟───┼──────────────────────╢
-║ 3 │ A                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.concat.md b/api-reference-v1-stable/series/series.str.concat.md
deleted file mode 100644
index e3abe54..0000000
--- a/api-reference-v1-stable/series/series.str.concat.md
+++ /dev/null
@@ -1,165 +0,0 @@
----
-description: Joins two or more strings/arrays
----
-
-# Series.str.concat
-
-> danfo.Series.str.**concat**(other, position, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L80)]
-
-| Parameters | Type            | Description                                                                                                                                                                                  | Default                                                |
-| ---------- | --------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
-| other      | string or Array | string or list of strings to add to each string element of the series                                                                                                                        | ""                                                     |
-| position   | Int             | The position to add the **other** (string or array) is either 0 or 1. 0 is to add the other at the beginning of each of the string element, and 1 is to add to the end of the string element | 1                                                      |
-| options    | Object          | **inplace**: Whether to perform the operation in-place or not.                                                                                                                               | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series (String element)
-
-**Examples**
-
-Add the strings from an Array to the start of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ XXlower boy          ║
-╟───┼──────────────────────╢
-║ 1 │ YYCAPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ BBsentence           ║
-╟───┼──────────────────────╢
-║ 3 │ 01SwApCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add the strings from an Array to the end of each of the String element in Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat(data2,1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boyXX          ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSYY           ║
-╟───┼──────────────────────╢
-║ 2 │ sentenceBB           ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSe01           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the start of each string element in a Series
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("pre",0).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ prelower boy         ║
-╟───┼──────────────────────╢
-║ 1 │ preCAPITALS          ║
-╟───┼──────────────────────╢
-║ 2 │ presentence          ║
-╟───┼──────────────────────╢
-║ 3 │ preSwApCaSe          ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Add a string to the end of each string element in a series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let data2 = ['XX', 'YY', 'BB', '01']
-let sf = new dfd.Series(data)
-sf.str.concat("post",1).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boypost        ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALSpost         ║
-╟───┼──────────────────────╢
-║ 2 │ sentencepost         ║
-╟───┼──────────────────────╢
-║ 3 │ SwApCaSepost         ║
-╚═══╧══════════════════════╝
-```
diff --git a/api-reference-v1-stable/series/series.str.endswith.md b/api-reference-v1-stable/series/series.str.endswith.md
deleted file mode 100644
index 2fb44cc..0000000
--- a/api-reference-v1-stable/series/series.str.endswith.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string ends with specified characters
----
-
-# Series.str.endsWith
-
-> danfo.Series.str.**endsWith**(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L133)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (Boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.endsWith("e").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ true                 ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.includes.md b/api-reference-v1-stable/series/series.str.includes.md
deleted file mode 100644
index 8918773..0000000
--- a/api-reference-v1-stable/series/series.str.includes.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Checks whether a string contains the specified string/characters
----
-
-# Series.str.includes
-
-> danfo.Series.str.includes(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L147)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series (boolean element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.includes("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ true                 ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.indexof.md b/api-reference-v1-stable/series/series.str.indexof.md
deleted file mode 100644
index 1d9e64f..0000000
--- a/api-reference-v1-stable/series/series.str.indexof.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: the position of the first found occurrence of a specified value in a string
----
-
-# Series.str.indexOf
-
-> danfo.Series.str.indexOf(str, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L161)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to obtain its index                                  | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.indexOf("C").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.join.md b/api-reference-v1-stable/series/series.str.join.md
deleted file mode 100644
index 5bb77fe..0000000
--- a/api-reference-v1-stable/series/series.str.join.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Join a new string value to all string elements in a Series.
----
-
-# Series.str.join
-
-> danfo.Series.str.**join**(valToJoin, joinChar, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L308)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| valToJoin  | String | the string value you want to                                    |  ""                                                    |
-| joinChar   | String | The delimiter to specify the joining                            | " "                                                    |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;  ****   return **Series**
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part', 'CAPITALS city', 'this is a sentence', 'SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.join("new", "_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤════════════════════════╗
-║ 0 │ lower part_new         ║
-╟───┼────────────────────────╢
-║ 1 │ CAPITALS city_new      ║
-╟───┼────────────────────────╢
-║ 2 │ this is a sentence_new ║
-╟───┼────────────────────────╢
-║ 3 │ SwAp CaSe_new          ║
-╚═══╧════════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.lastindexof.md b/api-reference-v1-stable/series/series.str.lastindexof.md
deleted file mode 100644
index 889a1f4..0000000
--- a/api-reference-v1-stable/series/series.str.lastindexof.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: >-
-  Obtain the position of the last found occurrence of a specified value in a
-  string
----
-
-# Series.str.lastIndexOf
-
-danfo.Series.str.lastIndexOf(str, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L175)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.lastIndexOf("r").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 4                    ║
-╟───┼──────────────────────╢
-║ 1 │ -1                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.str.len.md b/api-reference-v1-stable/series/series.str.len.md
deleted file mode 100644
index 0ef06b2..0000000
--- a/api-reference-v1-stable/series/series.str.len.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Obtain the length of each string element in a Series
----
-
-# Series.str.len
-
-> danfo.Series.str.**len**(options) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L324)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Examples**
-
-Returns the length (number of character) of a string, and also return the length (number of elements) of Array
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["dog", 5,"cat","fog","mug","animals"]
-let sf = new dfd.Series(data)
-sf.str.len().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤═══╗
-║ 0 │ 3 ║
-╟───┼───╢
-║ 1 │ 1 ║
-╟───┼───╢
-║ 2 │ 3 ║
-╟───┼───╢
-║ 3 │ 3 ║
-╟───┼───╢
-║ 4 │ 3 ║
-╟───┼───╢
-║ 5 │ 7 ║
-╚═══╧═══╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.repeat.md b/api-reference-v1-stable/series/series.str.repeat.md
deleted file mode 100644
index 703be26..0000000
--- a/api-reference-v1-stable/series/series.str.repeat.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Repeat the the character(s) in a string for a specified number of time
----
-
-# Series.str.repeat
-
-> danfo.Series.str.**repeat**(num, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L205)]
-
-| Parameters | Type    | Description                                                     | Default                                                |
-| ---------- | ------- | --------------------------------------------------------------- | ------------------------------------------------------ |
-| num        | integer | the string to search for                                        | 1                                                      |
-| options    | Object  | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**  Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['a', 'b', 'c', 'd']
-let sf = new dfd.Series(data)
-sf.str.repeat(4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ aaaa                 ║
-╟───┼──────────────────────╢
-║ 1 │ bbbb                 ║
-╟───┼──────────────────────╢
-║ 2 │ cccc                 ║
-╟───┼──────────────────────╢
-║ 3 │ dddd                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.replace.md b/api-reference-v1-stable/series/series.str.replace.md
deleted file mode 100644
index 2b06b1f..0000000
--- a/api-reference-v1-stable/series/series.str.replace.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Replace a word or character(s) in a String element
----
-
-# Series.str.replace
-
-> danfo.Series.str.replace(searchValue, replaceValue, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L191)]   &#x20;
-
-| Parameters   | Type   | Description                                                     | Default                                                |
-| ------------ | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| searchValue  | string | String \| Character value to replace. Supports regex.           | ""                                                     |
-| replaceValue | String | string to replace the searched string                           | ""                                                     |
-| options      | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:** Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.replace("A", "XXX").print()
-```
-{% endtab %}
-
-{% tab title="Browse" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower                ║
-╟───┼──────────────────────╢
-║ 1 │ CXXXPITALS           ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwXXXpCaSe           ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.search.md b/api-reference-v1-stable/series/series.str.search.md
deleted file mode 100644
index 99fc428..0000000
--- a/api-reference-v1-stable/series/series.str.search.md
+++ /dev/null
@@ -1,94 +0,0 @@
----
-description: Obtain the index position of a searched  character in a String
----
-
-# Series.str.search
-
-> danfo.Series.str.**search**(str, options)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L220)]
-
-
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | String | the string to search for                                        | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;    ****     return Series: Series of index position
-
-**Example**
-
-obtain the index position for a character
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 8                    ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-Obtain the index position for a searched word
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower city ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.search("city").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 6                    ║
-╟───┼──────────────────────╢
-║ 1 │ 10                   ║
-╟───┼──────────────────────╢
-║ 2 │ -1                   ║
-╟───┼──────────────────────╢
-║ 3 │ -1                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.slice.md b/api-reference-v1-stable/series/series.str.slice.md
deleted file mode 100644
index cef7a86..0000000
--- a/api-reference-v1-stable/series/series.str.slice.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.slice
-
-> danfo.Series.str.slice(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L235)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20; ****  return Series.
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.slice(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.split.md b/api-reference-v1-stable/series/series.str.split.md
deleted file mode 100644
index 006795d..0000000
--- a/api-reference-v1-stable/series/series.str.split.md
+++ /dev/null
@@ -1,74 +0,0 @@
----
-description: >-
-  Split string around a given separator/delimiter. The array of strings are then
-  converted to a string.
----
-
-# Series.str.split
-
-> danfo.Series.str.**split**(splitVal, options) \[[source](https://github.com/opensource9ja/danfojs/blob/e25010c26d9c423412613d820015a48ad03d5c6d/danfojs-node/src/core/strings.js#L553)]
-
-| Parameters | Type   | Description                                                | Default                         |
-| ---------- | ------ | ---------------------------------------------------------- | ------------------------------- |
-| splitVal   | String | separator or delimiter used to split the string            | " "                             |
-| options    | Object | **inplace**: Whether to perform operation in-place or not. | <p>{<br>inplace: false<br>}</p> |
-
-**Returns**
-
-&#x20;                     return **Series**
-
-**Examples**
-
-Split the string value in the Series by space and obtain the Series values
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king of the music","the lamba queen","I love the hat"]
-let sf = new dfd.Series(data)
-console.log(sf.str.split().values)
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-**OUTPUT:**     `[ 'king,of,the,music', 'the,lamba,queen', 'I,love,the,hat' ]`
-
-{% tabs %}
-{% tab title="JavaScript" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ["king_of_the_music","the_lamba_queen","I_love_the_hat"]
-let sf = new dfd.Series(data)
-sf.str.split("_").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ king,of,the,music    ║
-╟───┼──────────────────────╢
-║ 1 │ the,lamba,queen      ║
-╟───┼──────────────────────╢
-║ 2 │ I,love,the,hat       ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.startswith.md b/api-reference-v1-stable/series/series.str.startswith.md
deleted file mode 100644
index 835809e..0000000
--- a/api-reference-v1-stable/series/series.str.startswith.md
+++ /dev/null
@@ -1,51 +0,0 @@
----
-description: Test whether a string begins with specified characters
----
-
-# Series.str.startsWith
-
-> danfo.Series.str.**startsWith**(str, options)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L119)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| str        | string | the character(s) to check                                       | ""                                                     |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**  Series (Boolean element)
-
-**Examples**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower', 'CAPITALS', 'this is a sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.startsWith("S").print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ false                ║
-╟───┼──────────────────────╢
-║ 1 │ false                ║
-╟───┼──────────────────────╢
-║ 2 │ false                ║
-╟───┼──────────────────────╢
-║ 3 │ true                 ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substr.md b/api-reference-v1-stable/series/series.str.substr.md
deleted file mode 100644
index 0a391bb..0000000
--- a/api-reference-v1-stable/series/series.str.substr.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: >-
-  Obtain the substring from a String element in a Series, by specifying the
-  number of string to obtain starting from a specific index.
----
-
-# Series.str.substr
-
-> danfo.Series.str.substr(startIndex, num, options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L265)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| num        | Number | The number of character to obtain starting from the startIndex  | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;     ****      return Series
-
-**Example**
-
-Obtain substring( containing 4 characters) starting from the third character (2nd index).
-
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substr(2, 4).print()
-```
-
-{% tabs %}
-{% tab title="Output" %}
-```javascript
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ wer                  ║
-╟───┼──────────────────────╢
-║ 1 │ APIT                 ║
-╟───┼──────────────────────╢
-║ 2 │ his                  ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp                 ║
-╚═══╧══════════════════════╝
-
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.substring.md b/api-reference-v1-stable/series/series.str.substring.md
deleted file mode 100644
index b54702e..0000000
--- a/api-reference-v1-stable/series/series.str.substring.md
+++ /dev/null
@@ -1,56 +0,0 @@
----
-description: Obtain the substring of each element in a series
----
-
-# Series.str.substring
-
-> danfo.Series.str.**substring**(startIndex, endIndex, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L280)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| startIndex | Number | specify the index to start obtaining the substring              | 0                                                      |
-| endIndex   | Number | specify the index to end the substring                          | 1                                                      |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**
-
-&#x20;    ****     return **Series**
-
-**Example**
-
-Obtain the substring from index 2 to index 4 of the string elements in a Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.substring(2, 4).print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ we                   ║
-╟───┼──────────────────────╢
-║ 1 │ AP                   ║
-╟───┼──────────────────────╢
-║ 2 │ hi                   ║
-╟───┼──────────────────────╢
-║ 3 │ Sw                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.tolowercase.md b/api-reference-v1-stable/series/series.str.tolowercase.md
deleted file mode 100644
index 9abe0f5..0000000
--- a/api-reference-v1-stable/series/series.str.tolowercase.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Converts all characters to lower case.
----
-
-# Series.str.toLowerCase
-
-> danfo.Series.str.toLowerCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L20)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Example**
-
-Convert all characters in each string element to small letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['LOWER BOY', 'CAPITALS', 'SENTENCE', 'SWAPCASE']
-let sf = new dfd.Series(data)
-sf.str.toLowerCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower boy            ║
-╟───┼──────────────────────╢
-║ 1 │ capitals             ║
-╟───┼──────────────────────╢
-║ 2 │ sentence             ║
-╟───┼──────────────────────╢
-║ 3 │ swapcase             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.touppercase.md b/api-reference-v1-stable/series/series.str.touppercase.md
deleted file mode 100644
index f484390..0000000
--- a/api-reference-v1-stable/series/series.str.touppercase.md
+++ /dev/null
@@ -1,52 +0,0 @@
----
-description: Converts all characters to uppercase.
----
-
-# Series.str.toUpperCase
-
-> danfo.Series.str.toUpperCase(options)   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L33)]
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns**:  Series (String element)
-
-**Example**
-
-Convert all characters in each string element to capital letter
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower boy', 'CAPITALS', 'sentence', 'SwApCaSe']
-let sf = new dfd.Series(data)
-sf.str.toUpperCase().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ LOWER BOY            ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS             ║
-╟───┼──────────────────────╢
-║ 2 │ SENTENCE             ║
-╟───┼──────────────────────╢
-║ 3 │ SWAPCASE             ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.str.trim.md b/api-reference-v1-stable/series/series.str.trim.md
deleted file mode 100644
index 58b7b16..0000000
--- a/api-reference-v1-stable/series/series.str.trim.md
+++ /dev/null
@@ -1,50 +0,0 @@
----
-description: Remove leading and trailing Whitespace from a String element
----
-
-# Series.str.trim
-
-> danfo.Series.str.**trim**(options)  **\[**[**source**](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/strings.js#L293)**]**
-
-| Parameters | Type   | Description                                                     | Default                                                |
-| ---------- | ------ | --------------------------------------------------------------- | ------------------------------------------------------ |
-| options    | Object | **inplace**: Whether to perform the operation in-place or not.  | <p>{</p><p><strong>inplace</strong>: false</p><p>}</p> |
-
-**Returns:**
-
-&#x20;        ****         return Series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data = ['lower part ', ' CAPITALS city', ' this is a sentence', '  SwAp CaSe']
-let sf = new dfd.Series(data)
-sf.str.trim().print()
-```
-{% endtab %}
-
-{% tab title="Browser" %}
-```
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ lower part           ║
-╟───┼──────────────────────╢
-║ 1 │ CAPITALS city        ║
-╟───┼──────────────────────╢
-║ 2 │ this is a sentence   ║
-╟───┼──────────────────────╢
-║ 3 │ SwAp CaSe            ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.sub.md b/api-reference-v1-stable/series/series.sub.md
deleted file mode 100644
index e281d06..0000000
--- a/api-reference-v1-stable/series/series.sub.md
+++ /dev/null
@@ -1,86 +0,0 @@
----
-description: Return Subtraction of series and other, element-wise (binary operator sub).
----
-
-# Series.sub
-
-> danfo.Series.sub(other, options)  \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L148)]
-
-| Parameters | Type          | Description                                                                                    | Default                               |
-| ---------- | ------------- | ---------------------------------------------------------------------------------------------- | ------------------------------------- |
-| other      | Series\|int\| | values                                                                                         |                                       |
-| options    | Object        | inplace: Boolean indicating whether to perform the operation inplace or not. Defaults to false | <p>{</p><p>inplace: false</p><p>}</p> |
-
-**Return:** Series
-
-**Example**
-
-subtract from values of another series
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30, 40, 3, 5]
-let data2 = [1, 2, 3, 4]
-let sf1 = new dfd.Series(data1)
-let sf2 = new dfd.Series(data2)
-sf1.sub(sf2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 29                   ║
-╟───┼──────────────────────╢
-║ 1 │ 38                   ║
-╟───┼──────────────────────╢
-║ 2 │ 0                    ║
-╟───┼──────────────────────╢
-║ 3 │ 1                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
-subtract from a value
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5]
-let sf1 = new dfd.Series(data1)
-
-sf1.sub(2).print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ -1                   ║
-╟───┼──────────────────────╢
-║ 1 │ 0                    ║
-╟───┼──────────────────────╢
-║ 2 │ 1                    ║
-╟───┼──────────────────────╢
-║ 3 │ 2                    ║
-╟───┼──────────────────────╢
-║ 4 │ 3                    ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.sum.md b/api-reference-v1-stable/series/series.sum.md
deleted file mode 100644
index fabcba7..0000000
--- a/api-reference-v1-stable/series/series.sum.md
+++ /dev/null
@@ -1,36 +0,0 @@
----
-description: Return the sum of the values in a series.
----
-
-# Series.sum
-
-> danfo.Series.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L333)]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.sum())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-207
-```
-{% endtab %}
-{% endtabs %}
-
-****
diff --git a/api-reference-v1-stable/series/series.tail.md b/api-reference-v1-stable/series/series.tail.md
deleted file mode 100644
index 7f986a1..0000000
--- a/api-reference-v1-stable/series/series.tail.md
+++ /dev/null
@@ -1,49 +0,0 @@
----
-description: Prints the last n values in a Series
----
-
-# Series.tail
-
-> danfo.Series.tail\(rows\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L76)\]
-
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| rows | Int | number of last n values | 5 |
-
- **Return:** Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 620, 30, 40, 39, 89, 78]
-let sf1 = new dfd.Series(data1)
-
-sf1.tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 6  │ 30                   ║
-╟────┼──────────────────────╢
-║ 7  │ 40                   ║
-╟────┼──────────────────────╢
-║ 8  │ 39                   ║
-╟────┼──────────────────────╢
-║ 9  │ 89                   ║
-╟────┼──────────────────────╢
-║ 10 │ 78                   ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.tensor.md b/api-reference-v1-stable/series/series.tensor.md
deleted file mode 100644
index a5c112c..0000000
--- a/api-reference-v1-stable/series/series.tensor.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-description: Obtain the tensor representation of the values in a Series
----
-
-# Series.tensor
-
-> danfo.Series.tensor   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L45)\]
-
-**Parameters**: None
-
-**Returns**: Tensorflow tensor
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.tensor)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-Tensor {
-  kept: false,
-  isDisposedInternal: false,
-  shape: [ 4 ],
-  dtype: 'float32',
-  size: 4,
-  strides: [],
-  dataId: {},
-  id: 2,
-  rankType: '1',
-  scopeId: 0
-}
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.unique.md b/api-reference-v1-stable/series/series.unique.md
deleted file mode 100644
index c89d187..0000000
--- a/api-reference-v1-stable/series/series.unique.md
+++ /dev/null
@@ -1,55 +0,0 @@
----
-description: Obtain the unique value in a Series
----
-
-# Series.unique
-
-> danfo.Series.**unique**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L736)\]
-
-**Parameters**: None
-
-**Returns**: Series
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.unique().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-╔═══╤══════════════════════╗
-║   │ 0                    ║
-╟───┼──────────────────────╢
-║ 0 │ 1                    ║
-╟───┼──────────────────────╢
-║ 1 │ 2                    ║
-╟───┼──────────────────────╢
-║ 2 │ 3                    ║
-╟───┼──────────────────────╢
-║ 3 │ 4                    ║
-╟───┼──────────────────────╢
-║ 4 │ 5                    ║
-╟───┼──────────────────────╢
-║ 5 │ 6                    ║
-╟───┼──────────────────────╢
-║ 6 │ 7                    ║
-╟───┼──────────────────────╢
-║ 7 │ 8                    ║
-╟───┼──────────────────────╢
-║ 8 │ 22                   ║
-╚═══╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.value_counts.md b/api-reference-v1-stable/series/series.value_counts.md
deleted file mode 100644
index 338064f..0000000
--- a/api-reference-v1-stable/series/series.value_counts.md
+++ /dev/null
@@ -1,54 +0,0 @@
----
-description: Count the number of occurrence for each element in a Series
----
-
-# Series.value\_counts
-
-> danfo.Series.value\_counts()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L750)]
-
-**Parameters:** None
-
-**Returns:** Series (int element)
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [1, 2, 3, 4, 5, 6, 7, 8, 1, 1, 22, 8, 5, 5, 5]
-let sf = new dfd.Series(data1)
-
-sf.value_counts().print()
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```
-╔════╤══════════════════════╗
-║    │ 0                    ║
-╟────┼──────────────────────╢
-║ 1  │ 3                    ║
-╟────┼──────────────────────╢
-║ 2  │ 1                    ║
-╟────┼──────────────────────╢
-║ 3  │ 1                    ║
-╟────┼──────────────────────╢
-║ 4  │ 1                    ║
-╟────┼──────────────────────╢
-║ 5  │ 4                    ║
-╟────┼──────────────────────╢
-║ 6  │ 1                    ║
-╟────┼──────────────────────╢
-║ 7  │ 1                    ║
-╟────┼──────────────────────╢
-║ 8  │ 2                    ║
-╟────┼──────────────────────╢
-║ 22 │ 1                    ║
-╚════╧══════════════════════╝
-```
-{% endtab %}
-{% endtabs %}
diff --git a/api-reference-v1-stable/series/series.values.md b/api-reference-v1-stable/series/series.values.md
deleted file mode 100644
index 4857487..0000000
--- a/api-reference-v1-stable/series/series.values.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Obtain the values in a series
----
-
-# Series.values
-
-> danfo.Series.values   \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/generic.js#L279)\]
-
-**Parameters:** None
-
-**Returns**:  Array
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [30.21091, 40.190901, 3.564, 5.0212]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.values)
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-[ 30.21091, 40.190901, 3.564, 5.0212 ]
-```
-{% endtab %}
-{% endtabs %}
-
diff --git a/api-reference-v1-stable/series/series.var.md b/api-reference-v1-stable/series/series.var.md
deleted file mode 100644
index 4fdcbc2..0000000
--- a/api-reference-v1-stable/series/series.var.md
+++ /dev/null
@@ -1,35 +0,0 @@
----
-description: Calculate the variance  of a Series
----
-
-# Series.var
-
-> danfo.Series.var\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/series.js#L436)\]
-
-**Parameter:** None
-
-**Return:** Number
-
-**Example**
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data1 = [20, 30, 1, 2, 4, 57, 89, 0, 4]
-let sf1 = new dfd.Series(data1)
-
-console.log(sf1.var())
-```
-{% endtab %}
-{% endtabs %}
-
-{% tabs %}
-{% tab title="Output" %}
-```text
-968.25
-```
-{% endtab %}
-{% endtabs %}
-

From 70a6bda320e186ee411d026279c135057cd3784a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Jan 2022 16:31:20 +0100
Subject: [PATCH 162/202] Update danfojs script version

---
 .../dataframe/creating-a-dataframe.md         |  8 ++---
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +--
 .../input-output/danfo.read_excel.md          |  4 +--
 api-reference/input-output/danfo.read_json.md |  4 +--
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +--
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 ++--
 api-reference/plotting/pie-charts.md          |  4 +--
 api-reference/plotting/scatter-plots.md       |  4 +--
 api-reference/plotting/violin-plots.md        |  4 +--
 api-reference/series/creating-a-series.md     |  4 +--
 getting-started.md                            | 36 +++++++++----------
 release-notes.md                              |  2 +-
 17 files changed, 47 insertions(+), 47 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 2103b9d..e740d1c 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 504cbcc..b0ce43f 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index b1f043a..6b570f5 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 870f105..932b4b8 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 5359117..402e533 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index ecf32c7..ab6df99 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index e502326..d6d41a6 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index bdcafc9..bb79f1f 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index e62390c..d02452b 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 8a9a2e1..b1a1ed7 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index aa1cd50..d94edc2 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 8776b7f..5fc7981 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 92f239b..856fc43 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 3ea40a8..356342a 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index b957807..82bd9a7 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index de8a123..bf802c6 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -290,7 +290,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -368,7 +368,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -459,7 +459,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -567,7 +567,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -652,7 +652,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -732,7 +732,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -805,7 +805,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -875,7 +875,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1292,7 +1292,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1381,7 +1381,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1599,7 +1599,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2223,7 +2223,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
      <title>Document</title>
 </head>
 
@@ -2275,7 +2275,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -2370,7 +2370,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 6bfac22..4998447 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -122,7 +122,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@0.3.3/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script> 
 
     <title>Document</title>
 </head>

From d9d60826ae7246682b3fb6a0dcac948b235e7c6b Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Fri, 14 Jan 2022 08:50:01 +0000
Subject: [PATCH 163/202] GitBook: [#214] No subject

---
 building-data-driven-applications-with-danfo.js-book.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index cf3e174..0a40dc9 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -1,6 +1,6 @@
 # Building Data Driven Applications with Danfo.js - Book
 
-## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850) using _25Danfo_ code before  31st December 2020 and get 25% discount.&#x20;
+## Purchase on [Packt](https://www.packtpub.com/product/building-data-driven-applications-with-danfo-js/9781801070850)
 
 ## What this book is about
 
@@ -38,4 +38,3 @@ This book is for data analysts, data scientists, and JavaScript developers who w
 11. Building a Recommendation System with Danfo.js and TensorFlow.js
 12. Building a Twitter Analysis Dashboard
 13. Appendix: Essential JavaScript Concepts
-

From 59660f9e8e1bb5d33188d791c490fd8f4db57fd0 Mon Sep 17 00:00:00 2001
From: Stephen Oni <steohenoni2@gmail.com>
Date: Sat, 15 Jan 2022 17:56:15 +0100
Subject: [PATCH 164/202] update groupby doc

---
 api-reference/groupby/groupby.agg.md    |  93 ++++++++++-----
 api-reference/groupby/groupby.apply.md  |  56 ++++-----
 api-reference/groupby/groupby.col.md    | 123 ++++++++++---------
 api-reference/groupby/groupby.count.md  | 149 +++++++++++++++---------
 api-reference/groupby/groupby.cummax.md |  50 ++++----
 api-reference/groupby/groupby.cummin.md |  65 ++++++-----
 6 files changed, 310 insertions(+), 226 deletions(-)

diff --git a/api-reference/groupby/groupby.agg.md b/api-reference/groupby/groupby.agg.md
index fae8802..fca7d03 100644
--- a/api-reference/groupby/groupby.agg.md
+++ b/api-reference/groupby/groupby.agg.md
@@ -8,13 +8,15 @@ description: Obtain data aggregate per groups for each column
 
 | Parameters | Type   | Description                                                                                               | Default |
 | ---------- | ------ | --------------------------------------------------------------------------------------------------------- | ------- |
-| kwargs     | Object | kwargs contain keys which are column names in the dataframe, and the values are operation to be performed |         |
+| ops    | Object | keys are column names and `values` are aggregation operator |   {}      |
 
 **Return:** DataFrame
 
 **Examples**
 
-Using mean and sum aggregate
+**Aggregation using one aggregate operator per column**
+
+1) Assigning `mean` and `sum` aggregate to different column 
 
 {% tabs %}
 {% tab title="Node" %}
@@ -33,7 +35,7 @@ let data ={'A': ['foo', 'bar', 'foo', 'bar',
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.agg({"C":"mean","D":"sum"}).print()
+grp.agg({C:"mean",D:"sum"}).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -41,16 +43,16 @@ grp.agg({"C":"mean","D":"sum"}).print()
 ```
  Shape: (2,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 4.19999980926...  │ 27                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ bar               │ 3                 │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_mean            │ D_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 4.2               │ 27                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ 3                 │ 9                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Mean and Sum aggregate on dataframe groupby two column
+2) Mean and Sum aggregate on dataframe grouped by two column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -69,25 +71,62 @@ let data ={'A': ['foo', 'bar', 'foo', 'bar',
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.agg({"C":"mean","D":"sum"}).print()
+grp.agg({C:"mean",D:"sum"}).print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_mean            │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 3.5               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 3.5               │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_mean            │ D_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 3.5               │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 3.5               │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+**Aggregation using two or more  aggregate operator per column**
+
+Assigning `mean` and `sum`, `min`, `std`, `count` aggregate to different column 
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.agg({C:["mean", "sum", "min"],
+         D:["sum", "count", "std"]}).print()
+```
+{% endtab %}
+{% endtabs %}
+
 ```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_mean            │ C_sum             │ C_min             │ D_sum             │ D_count           │ D_std             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 4.2               │ 21                │ 1                 │ 27                │ 5                 │ 2.0736441353327…  ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ 3                 │ 9                 │ 2                 │ 9                 │ 3                 │ 2.6457513110645…  ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.apply.md b/api-reference/groupby/groupby.apply.md
index 2150a21..0fc1595 100644
--- a/api-reference/groupby/groupby.apply.md
+++ b/api-reference/groupby/groupby.apply.md
@@ -8,7 +8,7 @@ danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
-| callable | Function \| function to be applied to grouped data | Undefined |  |
+| callable | Function \| function to be applied to grouped data. the callable functons takes in DataFrame as argument adn returns DataFrame or Series | Undefined |  |
 
 **Returns:**
 
@@ -24,26 +24,28 @@ Using apply to create a custom function that subtract the minimum value of each
 const dfd = require("danfojs-node")
 
 let data = {
-      'A': ['foo', 'bar', 'foo', 'bar',
+      A: ['foo', 'bar', 'foo', 'bar',
 
         'foo', 'bar', 'foo', 'foo'],
 
-      'B': ['one', 'one', 'two', 'three',
+      B: ['one', 'one', 'two', 'three',
 
         'two', 'two', 'one', 'three'],
 
-      'C': [1, 3, 2, 4, 5, 2, 6, 7],
+      C: [1, 3, 2, 4, 5, 2, 6, 7],
 
-      'D': [3, 2, 4, 1, 5, 6, 7, 8]
+      D: [3, 2, 4, 1, 5, 6, 7, 8]
     };
+  
 let df = new dfd.DataFrame(data);
-let group_df = df.groupby(["A", "B"]);
+let groupDf = df.groupby(["A", "B"]).col(['C', 'D']);
 
 const subMin = (x) => {
-  return x.sub(x.min());
+  //find the min across column
+  return x.sub(x.min({axis:0}));
 };
 
-group_df.apply(subMin).print();
+groupDf.apply(subMin).print();
 
 ```
 {% endtab %}
@@ -58,25 +60,25 @@ group_df.apply(subMin).print();
 {% tabs %}
 {% tab title="Output" %}
 ```text
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_apply           │ D_apply           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 5                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 3                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 0                 │ 0                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 0                 │ 0                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 5                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 3                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 0                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 0                 │ 0                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/groupby/groupby.col.md b/api-reference/groupby/groupby.col.md
index 02e7cdd..130b18f 100644
--- a/api-reference/groupby/groupby.col.md
+++ b/api-reference/groupby/groupby.col.md
@@ -12,33 +12,40 @@ description: Obtain the column(s) per groups
 
 Returns: Groupby Data structure
 
-Note:    This is similar to pandas `df.groupby(["column"])["col_names"]`
+Note:    This is similar to pandas `df.groupby(["column"])["colNames"]`
 
 **Examples**
 
-Obtain a column
+Obtain the column to perform group aggregate operation on
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
         }
 
 let df = new dfd.DataFrame(data)
 
 
 let grp = df.groupby(["A"])
-grp.col(["C"])
 
-//for more coumns
-grp.col(["C","D"])
+//select single column
+let grpColumnC = grp.col(["C"])
+
+// convert grouop internal data to dataFrame
+grpColumnC.apply(x=> x).print()
+
+//select multiple column
+let grpColumnBD = grp.col(["B", "D"])
+
+grpColumnBD.apply(x=> x).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -46,59 +53,51 @@ grp.col(["C","D"])
 Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
 
 ```text
-//it returns the groupby data structure
-GroupBy {
-  key_col: [ 'A' ],
-  col_dict: {
-    foo: [ [Array], [Array], [Array], [Array], [Array] ],
-    bar: [ [Array], [Array], [Array] ]
-  },
-  data: [
-    [ 'foo', 'one', 1, 3 ],
-    [ 'bar', 'one', 3, 2 ],
-    [ 'foo', 'two', 2, 4 ],
-    [ 'bar', 'three', 4, 1 ],
-    [ 'foo', 'two', 5, 5 ],
-    [ 'bar', 'two', 2, 6 ],
-    [ 'foo', 'one', 6, 7 ],
-    [ 'foo', 'three', 7, 8 ]
-  ],
-  column_name: [ 'A', 'B', 'C', 'D' ],
-  data_tensors: {
-    foo: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    },
-    bar: DataFrame {
-      kwargs: [Object],
-      series: false,
-      data: [Array],
-      row_data_tensor: [Tensor],
-      index_arr: [Array],
-      columns: [Array],
-      col_data: [Array],
-      col_data_tensor: [Tensor],
-      col_types: [Array],
-      A: [Getter/Setter],
-      B: [Getter/Setter],
-      C: [Getter/Setter],
-      D: [Getter/Setter]
-    }
-  },
-  group_col_name: [ 'C' ],
-  group_col: { foo: [ [Series] ], bar: [ [Series] ] }
-}
+// select single column C
+
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 6                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 4                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+// select multiple column: B and D
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 5                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ one               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
 ```
 
 
diff --git a/api-reference/groupby/groupby.count.md b/api-reference/groupby/groupby.count.md
index 36733be..020893b 100644
--- a/api-reference/groupby/groupby.count.md
+++ b/api-reference/groupby/groupby.count.md
@@ -12,7 +12,7 @@ description: Count the occurrence of values in columns per groups
 
 **Examples**
 
-Obtain the variance of a column for each group, group by one column
+Obtain the number of rows per groups
 
 {% tabs %}
 {% tab title="Node" %}
@@ -20,27 +20,26 @@ Obtain the variance of a column for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).count().print()
+let grpColumnC = grp.col(["C"])
+grpColumnC.count().print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
 
-  Shape: (2,2) 
-
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ C_count           ║
 ╟───┼───────────────────┼───────────────────╢
@@ -50,7 +49,7 @@ grp.col(["C"]).count().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the var for two columns for each group, group by one column
+Obtain the count for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -58,17 +57,18 @@ Obtain the var for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
+
 grp.col(["C","D"]).count().print()
 ```
 {% endtab %}
@@ -86,6 +86,42 @@ grp.col(["C","D"]).count().print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
+Obtain the count for all columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+
+grp.count().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B_count           │ C_count           │ D_count           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 5                 │ 5                 │ 5                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ 3                 │ 3                 │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
 Obtain the count for a column for each group, group by two columns
 
 {% tabs %}
@@ -94,13 +130,13 @@ Obtain the count for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -112,21 +148,23 @@ grp.col(["C"]).count().print()
 {% endtabs %}
 
 ```
-  Shape: (5,3) 
 
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_count           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 Obtain the count for two columns for each group, group by two columns
@@ -137,13 +175,13 @@ Obtain the count for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -154,22 +192,23 @@ grp.col(["C","D"]).count().print()
 {% endtabs %}
 
 ```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_count           │ D_count           ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 1                 │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 1                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_count           │ D_count           ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 2                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 2                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 1                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 1                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 1                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 1                 │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 ****
diff --git a/api-reference/groupby/groupby.cummax.md b/api-reference/groupby/groupby.cummax.md
index 8231a61..38f6aee 100644
--- a/api-reference/groupby/groupby.cummax.md
+++ b/api-reference/groupby/groupby.cummax.md
@@ -2,9 +2,9 @@
 description: Obtain the cummulative max per groups for each column
 ---
 
-# Groupby.cummax
+# Groupby.cumMax
 
-> danfo.Groupby.cummax\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L285)\]
+> danfo.Groupby.cumMax\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L481)\]
 
 **Parameters**: None
 
@@ -20,19 +20,19 @@ Obtain the cumulative max of a column for each groups, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
+grp.col(["C"]).cumMax().head().print()
+grp.col(["C"]).cumMax().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -81,19 +81,19 @@ Obtain the cumsum for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
+grp.col(["C","D"]).cumMax().head().print()
+grp.col(["C","D"]).cumMax().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -142,19 +142,19 @@ Obtain the cummax for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummax().head().print()
-grp.col(["C"]).cummax().tail().print()
+grp.col(["C"]).cumMax().head().print()
+grp.col(["C"]).cumMax().tail().print()
 
 ```
 {% endtab %}
@@ -214,8 +214,8 @@ let data ={'A': ['foo', 'bar', 'foo', 'bar',
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummax().head().print()
-grp.col(["C","D"]).cummax().tail().print()
+grp.col(["C","D"]).cumMax().head().print()
+grp.col(["C","D"]).cumMax().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
index 7fd9ed6..1b569fa 100644
--- a/api-reference/groupby/groupby.cummin.md
+++ b/api-reference/groupby/groupby.cummin.md
@@ -2,9 +2,9 @@
 description: Obtain the cummulative minimum per groups for each column
 ---
 
-# Groupby.cummin
+# Groupby.cumMin
 
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)\]
+> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
 
 **Parameters**: None
 
@@ -20,19 +20,21 @@ Obtain the cumulative min of a column for each groups, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
+let grpColC = grp.col(["C"])
+grpColC.cumMin().head().print()
+grpColC.cumMin().tail().print()
+
 ```
 {% endtab %}
 {% endtabs %}
@@ -81,19 +83,20 @@ Obtain the cummin for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
+let grpCol = grp.col("C","D"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -142,19 +145,20 @@ Obtain the cummin for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
+let grpCol = grp.col(["C"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
 
 ```
 {% endtab %}
@@ -203,19 +207,20 @@ Obtain the cummin for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
+let grpCol = grp.col(["C","D"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
 ```
 {% endtab %}
 {% endtabs %}

From 28f9c9d0fae507ac70f735c7aadb61cac789f5c0 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 16 Jan 2022 12:52:31 +0100
Subject: [PATCH 165/202] Update package version number

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 37 ++++++++++---------
 release-notes.md                              |  2 +-
 17 files changed, 48 insertions(+), 47 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index e740d1c..c58eb9e 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index b0ce43f..84e5946 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 6b570f5..91899d1 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 932b4b8..de61b55 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 402e533..0607420 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index ab6df99..9e67522 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index d6d41a6..ee9172e 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index bb79f1f..75a5b50 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index d02452b..5f2d02c 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index b1a1ed7..4468bcd 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index d94edc2..a792395 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 5fc7981..6d330f9 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 856fc43..561a333 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 356342a..861df13 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index 82bd9a7..1c97f23 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index bf802c6..583cabd 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,8 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+<title>Document</title>
 </head>
 
 <body>
@@ -290,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -368,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -459,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -567,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -652,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -732,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -805,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -875,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1292,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1381,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1599,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2223,7 +2224,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
      <title>Document</title>
 </head>
 
@@ -2275,7 +2276,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
@@ -2370,7 +2371,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 4998447..f1dd98e 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -122,7 +122,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script> 
 
     <title>Document</title>
 </head>

From fc4dc2e13e139e53c789842a2fa3e0f077fdf7d9 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 16 Jan 2022 13:04:02 +0100
Subject: [PATCH 166/202] Updated getting started

---
 getting-started.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/getting-started.md b/getting-started.md
index 583cabd..016d9cc 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -9,7 +9,7 @@ description: >-
 {% hint style="info" %}
 A stable version of Danfojs (v1), has been released, and it comes with full Typescript support, new features, and many bug fixes. See release note [here](release-notes.md#latest-release-node-v1.0.0-browser-v1.0.0).&#x20;
 
-There are a couple of breaking changes, so we have prepared a short migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1.0.0 users.&#x20;
+There are a couple of breaking changes, so we have prepared a short migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1.0.1 users.&#x20;
 {% endhint %}
 
 ## Installation

From 1ce2b8d5f32d0f94dc0206666080401933c16352 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 16 Jan 2022 12:10:06 +0000
Subject: [PATCH 167/202] GitBook: [#215] No subject

---
 getting-started.md | 23 ++++++-----------------
 release-notes.md   | 14 +++++++++++++-
 2 files changed, 19 insertions(+), 18 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index 016d9cc..432d86f 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -7,9 +7,9 @@ description: >-
 # Getting Started
 
 {% hint style="info" %}
-A stable version of Danfojs (v1), has been released, and it comes with full Typescript support, new features, and many bug fixes. See release note [here](release-notes.md#latest-release-node-v1.0.0-browser-v1.0.0).&#x20;
+A stable version of Danfojs (v1), has been released, and it comes with full Typescript support, new features, and many bug fixes. See release note [here](release-notes.md#latest-release-node-v1.0.0-browser-v1.0.0).
 
-There are a couple of breaking changes, so we have prepared a short migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1.0.1 users.&#x20;
+There are a couple of breaking changes, so we have prepared a short migration [guide](examples/migrating-to-the-stable-version-of-danfo.js.md) for pre-v1 users.
 {% endhint %}
 
 ## Installation
@@ -39,11 +39,11 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
-To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo) or the [VS-Code Nodejs notebook extension](https://marketplace.visualstudio.com/items?itemName=donjayamanne.typescript-notebook).&#x20;
+To play with Danfo.js in a Notebook-like environment, see [Dnotebooks](https://dnotebook.jsdata.org/getting-started) [here](https://playnotebook.jsdata.org/demo) or the [VS-Code Nodejs notebook extension](https://marketplace.visualstudio.com/items?itemName=donjayamanne.typescript-notebook).
 {% endhint %}
 
 ## 10 minutes to danfo.js
@@ -1885,7 +1885,6 @@ com_df.print()
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 3          │ K2                │ K2                │ A3                │ B3                │ K2                │ K0                │ C3                │ D3                ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
 ```
 
 Concatenate along row axis (0).
@@ -2203,20 +2202,10 @@ sf.dt.dayOfWeekName().print()
 
 See the [Plotting](api-reference/plotting/) docs.
 
-We currently support [Plotly.js](https://plotly.com/javascript/) for plotting. In the future, we plan other JS plotting libraries like Vega, D3.&#x20;
+We currently support [Plotly.js](https://plotly.com/javascript/) for plotting. In the future, we plan other JS plotting libraries like Vega, D3.
 
 Using the `plot` API, you can make interactive plots from DataFrame and Series. Plotting only works in the browser/client-side version of Danfo.js, and requires an HTML div to display plots.
 
-{% tabs %}
-{% tab title="Browser" %}
-
-{% endtab %}
-
-{% tab title="Second Tab" %}
-
-{% endtab %}
-{% endtabs %}
-
 ```markup
 <!DOCTYPE html>
 <html lang="en">
@@ -2303,7 +2292,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 
 [Writing to a CSV file.](api-reference/dataframe/dataframe.to\_csv.md)
 
-Convert any DataFrame to csv format.&#x20;
+Convert any DataFrame to csv format.
 
 In NodeJs, if a file path is specified, then the CSV is saved to the path, else it is returned as a string.
 
diff --git a/release-notes.md b/release-notes.md
index f1dd98e..dc63e48 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,18 @@
 # Release Notes
 
-### \[LATEST] Release Node (v1.0.0), Browser (v1.0.0)
+### \[LATEST] Release Node (v1.0.1), Browser (v1.0.1)
+
+**Date:** 16th Jan 2022
+
+Minor bug fixes
+
+* [https://github.com/javascriptdata/danfojs/issues/354](https://github.com/javascriptdata/danfojs/issues/354)
+* [https://github.com/javascriptdata/danfojs/issues/344](https://github.com/javascriptdata/danfojs/issues/344)
+* [https://github.com/javascriptdata/danfojs/pull/347](https://github.com/javascriptdata/danfojs/pull/347)
+
+Contributors: @[**Devwulf**](https://github.com/Devwulf)**,** [@risenW](https://github.com/risenW)
+
+### Release Node (v1.0.0), Browser (v1.0.0)
 
 **Date:** 12th Jan 2022
 

From ebebc0fdd41658dea823d0de07db922bdd814bf7 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 16 Jan 2022 12:10:58 +0000
Subject: [PATCH 168/202] GitBook: [#216] No subject

---
 ...ating-to-the-stable-version-of-danfo.js.md | 41 ++++---------------
 1 file changed, 9 insertions(+), 32 deletions(-)

diff --git a/examples/migrating-to-the-stable-version-of-danfo.js.md b/examples/migrating-to-the-stable-version-of-danfo.js.md
index 07c8206..c186782 100644
--- a/examples/migrating-to-the-stable-version-of-danfo.js.md
+++ b/examples/migrating-to-the-stable-version-of-danfo.js.md
@@ -10,13 +10,11 @@ We recently released the first stable version of Danfo.js. See release note here
 
 The following list summarizes some of these updates:
 
-* **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increases the developer experience.&#x20;
-* **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.&#x20;
-* Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.&#x20;
+* **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increase the developer experience.
+* **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.
+* Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.
 * **New features**: We added lots of new features which users have been requesting for. For example:
   * Stream and process large CSV data
-  * Read JSON objects with key support
-  * Date time is now a first-class data type.
 * General bug fixes and improvements
 * Better error messages
 
@@ -34,7 +32,7 @@ to_json ==> toCSV
 drop_duplicates ==> dropDuplicates
 ```
 
-**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.&#x20;
+**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
 
 ### Functions and Methods argument structure
 
@@ -42,7 +40,7 @@ Another major breaking change of v1, is that the structure of arguments/paramete
 
 In general, it is important to understand our thought process behind this, so, here goes:
 
-Assuming we take the method called _**rename**_, which takes  required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
+Assuming we take the method called _**rename**_, which takes required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
 
 ```
 rename( { mapper, axis, inplace } ) => DataFrame
@@ -54,10 +52,10 @@ The structure above combines both required and optional arguments as a single ob
 rename(mapper, options: {axis, inplace}) //where mapper is required, and options argument is optional. 
 ```
 
-Re-designing functions and methods to follow this intuitive format is the bulk of the breaking change in this new version, as such, when migrating, you have to make these updates.&#x20;
+Re-designing functions and methods to follow this intuitive format is the bulk of the breaking change in this new version, as such, when migrating, you have to make these updates.
 
 {% hint style="info" %}
-If using Typescript, then the TS compiler will help in migration, else, you have to manually identify and update your function/method signature.&#x20;
+If using Typescript, then the TS compiler will help in migration, else, you have to manually identify and update your function/method signature.
 {% endhint %}
 
 ### Axis Order
@@ -65,28 +63,7 @@ If using Typescript, then the TS compiler will help in migration, else, you have
 In this new version, we have flipped the result of the axis ordering for all operations. This ordering is now consistent with Pandas and Tensorflow.js. That is, the axis row (0), represents the operations carried out horizontally on a DataFrame, and the axis columns (1) represent operations carried out vertically down the DataFrame.
 
 {% hint style="info" %}
-In short, when migrating to the new version, you should flip the axis number so as to get the same result. That is, change all `axis: 0` to `axis: 1`, to get the same result.&#x20;
+In short, when migrating to the new version, you should flip the axis number so as to get the same result. That is, change all `axis: 0` to `axis: 1`, to get the same result.
 {% endhint %}
 
-All examples in this doc have been updated to reflect this update.&#x20;
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+All examples in this doc have been updated to reflect this update.

From bf7505d0c2c84cb6d9dc1140da481054bf7b8d66 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 19 Jan 2022 14:50:11 +0100
Subject: [PATCH 169/202] Add new release note

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 38 +++++++++----------
 release-notes.md                              | 14 ++++++-
 17 files changed, 59 insertions(+), 49 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index c58eb9e..989efe5 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 84e5946..bf824df 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 91899d1..1441bd1 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index de61b55..d8f9955 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 0607420..f966c10 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 9e67522..627dfdb 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index ee9172e..090526a 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 75a5b50..dd690d7 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index 5f2d02c..a39ecbf 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 4468bcd..181b055 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index a792395..3c8ceaa 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 6d330f9..4515a43 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 561a333..1b53f6a 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 861df13..fe04a29 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index 1c97f23..bc7c71a 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index 432d86f..2d6eb0c 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -39,7 +39,7 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
 <title>Document</title>
 </head>
 
@@ -291,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -369,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -460,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -568,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -653,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -733,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -806,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -876,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1293,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1382,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1600,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2213,7 +2213,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2265,7 +2265,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2360,7 +2360,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index dc63e48..ff5907d 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,16 @@
 # Release Notes
 
-### \[LATEST] Release Node (v1.0.1), Browser (v1.0.1)
+### \[LATEST] Release Node (v1.0.2), Browser (v1.0.2)
+**Date:** 19th Jan 2022
+
+#### What's Changed
+* Update TensorFlow version to fix M1 chip incompatibility by @risenW in https://github.com/javascriptdata/danfojs/pull/358
+* Add new feature `iat` and `at` by @risenW in https://github.com/javascriptdata/danfojs/pull/359
+* Fixed issue with sort by values by @risenW in https://github.com/javascriptdata/danfojs/pull/360
+
+
+**Full Changelog**: https://github.com/javascriptdata/danfojs/compare/v1.0.1...v1.0.2
+### Release Node (v1.0.1), Browser (v1.0.1)
 
 **Date:** 16th Jan 2022
 
@@ -134,7 +144,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.1/lib/bundle.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From 1c2df0e07af2c39350e6146cfc9f1918ff082e9f Mon Sep 17 00:00:00 2001
From: Stephen Oni <steohenoni2@gmail.com>
Date: Sat, 22 Jan 2022 06:22:08 +0100
Subject: [PATCH 170/202] update groupby doc

---
 api-reference/groupby/groupby.apply.md        |   2 +-
 .../{groupby.cummin.md => groupby.cumMin.md}  |   0
 api-reference/groupby/groupby.cumProd.md      | 221 +++++++++++++++
 api-reference/groupby/groupby.cumSum.md       | 200 ++++++++++++++
 api-reference/groupby/groupby.cumprod.md      | 258 -----------------
 api-reference/groupby/groupby.cumsum.md       | 259 ------------------
 api-reference/groupby/groupby.first.md        |  89 ++++++
 ...upby.get_groups.md => groupby.getGroup.md} |  34 +--
 api-reference/groupby/groupby.groups.md       |  99 +++++++
 api-reference/groupby/groupby.last.md         |  87 ++++++
 api-reference/groupby/groupby.max.md          |  42 +--
 api-reference/groupby/groupby.mean.md         |  44 ++-
 api-reference/groupby/groupby.min.md          | 109 ++++----
 api-reference/groupby/groupby.ngroups.md      |  69 +++++
 api-reference/groupby/groupby.size.md         |  87 ++++++
 api-reference/groupby/groupby.std.md          |  44 ++-
 api-reference/groupby/groupby.sum.md          |  80 +++---
 api-reference/groupby/groupby.var.md          |  43 ++-
 18 files changed, 1041 insertions(+), 726 deletions(-)
 rename api-reference/groupby/{groupby.cummin.md => groupby.cumMin.md} (100%)
 create mode 100644 api-reference/groupby/groupby.cumProd.md
 create mode 100644 api-reference/groupby/groupby.cumSum.md
 delete mode 100644 api-reference/groupby/groupby.cumprod.md
 delete mode 100644 api-reference/groupby/groupby.cumsum.md
 create mode 100644 api-reference/groupby/groupby.first.md
 rename api-reference/groupby/{groupby.get_groups.md => groupby.getGroup.md} (91%)
 create mode 100644 api-reference/groupby/groupby.groups.md
 create mode 100644 api-reference/groupby/groupby.last.md
 create mode 100644 api-reference/groupby/groupby.ngroups.md
 create mode 100644 api-reference/groupby/groupby.size.md

diff --git a/api-reference/groupby/groupby.apply.md b/api-reference/groupby/groupby.apply.md
index 0fc1595..9e01b0e 100644
--- a/api-reference/groupby/groupby.apply.md
+++ b/api-reference/groupby/groupby.apply.md
@@ -4,7 +4,7 @@ description: Apply custom aggregate function to grouped data
 
 # Groupby.apply
 
-danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs-node/src/core/groupby.js#L297)\]
+danfo.Groupby.**apply**\(callable\) \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L552)\]
 
 | Parameters | Type | Description | Default |
 | :--- | :--- | :--- | :--- |
diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cumMin.md
similarity index 100%
rename from api-reference/groupby/groupby.cummin.md
rename to api-reference/groupby/groupby.cumMin.md
diff --git a/api-reference/groupby/groupby.cumProd.md b/api-reference/groupby/groupby.cumProd.md
new file mode 100644
index 0000000..e47444c
--- /dev/null
+++ b/api-reference/groupby/groupby.cumProd.md
@@ -0,0 +1,221 @@
+---
+description: Obtain the cumulative product per group for each column
+---
+
+# Groupby.cumProd
+
+> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative product of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+let grpCol = grp.col(["C"])
+grpCol.cumProd().head().print()
+grpCol.cumProd().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+let grpCol = grp.col(["C","D"])
+grpCol.cumProd().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+  
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumprod         │ D_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 2                 │ 12                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 10                │ 60                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 60                │ 420               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 420               │ 3360              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 12                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 24                │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+let grpCol = grp.col(["C"])
+grpCol.cumProd().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+let grpCol = grp.col(["C","D"])
+grpCol.cumProd().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```text
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 6                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 10                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
diff --git a/api-reference/groupby/groupby.cumSum.md b/api-reference/groupby/groupby.cumSum.md
new file mode 100644
index 0000000..2df6516
--- /dev/null
+++ b/api-reference/groupby/groupby.cumSum.md
@@ -0,0 +1,200 @@
+---
+description: Obtain the cumulative sum per groups for each column
+---
+
+# Groupby.cumsum
+
+> danfo.Groupby.**cumsum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative sum of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumSum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumsum          ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 14                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 9                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumSum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumsum          │ D_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 3                 │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 8                 │ 12                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 14                │ 19                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 21                │ 27                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 7                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 9                 │ 9                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumSum().print()
+
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumSum().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 7                 │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
deleted file mode 100644
index af46123..0000000
--- a/api-reference/groupby/groupby.cumprod.md
+++ /dev/null
@@ -1,258 +0,0 @@
----
-description: Obtain the cumulative product per group for each column
----
-
-# Groupby.cumprod
-
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative product of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                │ 420               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               │ 3360              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 24                │ 12                ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 24                │ 12                ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumprod for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 21                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
deleted file mode 100644
index 3b2b0e6..0000000
--- a/api-reference/groupby/groupby.cumsum.md
+++ /dev/null
@@ -1,259 +0,0 @@
----
-description: Obtain the cumulative sum per groups for each column
----
-
-# Groupby.cumsum
-
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative sum of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                │ 19                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                │ 27                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 9                 │ 9                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 9                 │ 9                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****
diff --git a/api-reference/groupby/groupby.first.md b/api-reference/groupby/groupby.first.md
new file mode 100644
index 0000000..b1bcd26
--- /dev/null
+++ b/api-reference/groupby/groupby.first.md
@@ -0,0 +1,89 @@
+---
+description: Obtain the first row of each groups
+---
+
+# Groupby.first
+
+> danfo.Groupby.first    \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L615)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the first row of each group for dataframe grouped by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+grp.first().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ bar               │ one               │ 3                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the number of groups in dataframe grouped by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A","B"])
+grp.first().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ B_Group           │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.get_groups.md b/api-reference/groupby/groupby.getGroup.md
similarity index 91%
rename from api-reference/groupby/groupby.get_groups.md
rename to api-reference/groupby/groupby.getGroup.md
index 0cdf912..cecf8dc 100644
--- a/api-reference/groupby/groupby.get_groups.md
+++ b/api-reference/groupby/groupby.getGroup.md
@@ -2,9 +2,9 @@
 description: Obtain the data for each element of the groupby column
 ---
 
-# Groupby.get\_groups
+# Groupby.getGroup
 
-> danfo.Groupby.get\_groups\(key\)      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)\]
+> danfo.Groupby.getGroup(key\)      \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L523)\]
 
 | Parameters | Type | Description | default |
 | :--- | :--- | :--- | :--- |
@@ -21,22 +21,22 @@ Group the dataframe by column A and obtain the group belonging to the values in
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 
 let grp = df.groupby(["A"])
 
-grp.get_groups(["foo"]).print()
+grp.getGroup(["foo"]).print()
 
-grp.get_groups(["bar"]).print()
+grp.getGroup(["bar"]).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -81,22 +81,22 @@ Group dataframe by two columns and obtain their groups. Since the dataframe is g
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 
 let grp = df.groupby(["A","B"])
 
-grp.get_groups(["foo","one"]).print()
+grp.getGroup(["foo","one"]).print()
 
-grp.get_groups(["bar","one"]).print()
+grp.getGroup(["bar","one"]).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -115,7 +115,7 @@ grp.get_groups(["bar","one"]).print()
 ║ 1 │ foo               │ one               │ 6                 │ 7                 ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//get_groups(["bar","one"])
+//getGroup(["bar","one"])
 
 
  Shape: (1,4) 
diff --git a/api-reference/groupby/groupby.groups.md b/api-reference/groupby/groupby.groups.md
new file mode 100644
index 0000000..a6208b3
--- /dev/null
+++ b/api-reference/groupby/groupby.groups.md
@@ -0,0 +1,99 @@
+---
+description: Obtain groupby internal data object
+---
+
+# Groupby.ngroups
+
+> danfo.Groupby.groups   \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L598)\]
+
+**Parameters**: None
+
+**Return**: Object
+
+**Examples**
+
+Obtain the group object for grouped by single column dataframe
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+console.log(grp.groups)
+```
+{% endtab %}
+{% endtabs %}
+
+```
+{
+  foo: {
+    A: [ 'foo', 'foo', 'foo', 'foo', 'foo' ],
+    B: [ 'one', 'two', 'two', 'one', 'three' ],
+    C: [ 1, 2, 5, 6, 7 ],
+    D: [ 3, 4, 5, 7, 8 ]
+  },
+  bar: {
+    A: [ 'bar', 'bar', 'bar' ],
+    B: [ 'one', 'three', 'two' ],
+    C: [ 3, 4, 2 ],
+    D: [ 2, 1, 6 ]
+  }
+}
+```
+
+Obtain the group object for grouped by two column dataframe
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A","B"])
+console.log(grp.groups)
+```
+{% endtab %}
+{% endtabs %}
+
+```
+{
+  'foo-one': {
+    A: [ 'foo', 'foo' ],
+    B: [ 'one', 'one' ],
+    C: [ 1, 6 ],
+    D: [ 3, 7 ]
+  },
+  'bar-one': { A: [ 'bar' ], B: [ 'one' ], C: [ 3 ], D: [ 2 ] },
+  'foo-two': {
+    A: [ 'foo', 'foo' ],
+    B: [ 'two', 'two' ],
+    C: [ 2, 5 ],
+    D: [ 4, 5 ]
+  },
+  'bar-three': { A: [ 'bar' ], B: [ 'three' ], C: [ 4 ], D: [ 1 ] },
+  'bar-two': { A: [ 'bar' ], B: [ 'two' ], C: [ 2 ], D: [ 6 ] },
+  'foo-three': { A: [ 'foo' ], B: [ 'three' ], C: [ 7 ], D: [ 8 ] }
+}
+```
+
+****
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.last.md b/api-reference/groupby/groupby.last.md
new file mode 100644
index 0000000..51174bf
--- /dev/null
+++ b/api-reference/groupby/groupby.last.md
@@ -0,0 +1,87 @@
+---
+description: Obtain the last row of each groups
+---
+
+# Groupby.last
+
+> danfo.Groupby.last    \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L625)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the last row of each group for dataframe grouped by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A"])
+grp.last().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the number of groups in dataframe grouped by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A","B"])
+grp.last().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ B_Group           │ A                 │ B                 │ C                 │ D                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ foo               │ one               │ 6                 │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ foo               │ two               │ 5                 │ 5                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.max.md b/api-reference/groupby/groupby.max.md
index 43470f6..98c2c55 100644
--- a/api-reference/groupby/groupby.max.md
+++ b/api-reference/groupby/groupby.max.md
@@ -4,7 +4,7 @@ description: Obtain the maximum value of columns per groups
 
 # Groupby.max
 
-> danfo.Groupby.max()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L309)]
+> danfo.Groupby.max()      \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L506)]
 
 **Parameters:** None
 
@@ -19,13 +19,13 @@ Obtain the maximum value for a column for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -56,13 +56,13 @@ Obtain the maximum value for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -92,13 +92,13 @@ Obtain the maximum value for a column for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -134,13 +134,13 @@ Obtain the maximum value for two columns for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
diff --git a/api-reference/groupby/groupby.mean.md b/api-reference/groupby/groupby.mean.md
index add6958..c411bba 100644
--- a/api-reference/groupby/groupby.mean.md
+++ b/api-reference/groupby/groupby.mean.md
@@ -4,7 +4,7 @@ description: Obtain the mean per groups for each column(s)
 
 # Groupby.mean
 
-> danfo.Series.mean()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L274)]
+> danfo.Series.mean()      \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L464)]
 
 **Parameters**: None
 
@@ -19,13 +19,13 @@ Obtain the mean of a column for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -57,13 +57,13 @@ Obtain the mean for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -93,13 +93,13 @@ Obtain the mean for a column for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -135,17 +135,15 @@ Obtain the mean for two columns for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
-
-
 let grp = df.groupby(["A","B"])
 grp.col(["C","D"]).mean().print()
 ```
diff --git a/api-reference/groupby/groupby.min.md b/api-reference/groupby/groupby.min.md
index 0151e64..f74be86 100644
--- a/api-reference/groupby/groupby.min.md
+++ b/api-reference/groupby/groupby.min.md
@@ -4,7 +4,7 @@ description: Obtain the minimum value per groups for a coumn(s)
 
 # Groupby.min
 
-> danfo.Groupby.min()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L315)]
+> danfo.Groupby.min()      \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L514)]
 
 **Parameters**: None
 
@@ -19,17 +19,16 @@ Obtain the minimum value for a column for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A"])
 grp.col(["C"]).min().print()
 ```
@@ -55,17 +54,15 @@ Obtain the minimum value for two columns for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
-
-
 let grp = df.groupby(["A"])
 grp.col(["C","D"]).min().print()
 ```
@@ -91,17 +88,15 @@ Obtain the maximum value for a column for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
-
-
 let grp = df.groupby(["A","B"])
 grp.col(["C"]).min().print()
 ```
@@ -109,21 +104,21 @@ grp.col(["C"]).min().print()
 {% endtabs %}
 
 ```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_min             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Obtain the maximum value for two columns for each group, group by two columns
@@ -133,17 +128,15 @@ Obtain the maximum value for two columns for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
-
-
 let grp = df.groupby(["A","B"])
 grp.col(["C","D"]).min().print()
 ```
@@ -151,21 +144,21 @@ grp.col(["C","D"]).min().print()
 {% endtabs %}
 
 ```
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_min             │ D_min             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_min             │ D_min             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ****
diff --git a/api-reference/groupby/groupby.ngroups.md b/api-reference/groupby/groupby.ngroups.md
new file mode 100644
index 0000000..951c0d7
--- /dev/null
+++ b/api-reference/groupby/groupby.ngroups.md
@@ -0,0 +1,69 @@
+---
+description: Obtain the number of groups
+---
+
+# Groupby.ngroups
+
+> danfo.Groupby.ngroups    \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L598)\]
+
+**Parameters**: None
+
+**Return**: Number
+
+**Examples**
+
+Obtain the number of groups in a dataframe grouped by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+console.log(grp.ngroups)
+```
+{% endtab %}
+{% endtabs %}
+
+```
+2
+```
+
+Obtain the number of groups in dataframe grouped by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A","B"])
+console.log(grp.ngroups)
+```
+{% endtab %}
+{% endtabs %}
+
+```
+6
+```
+
+****
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.size.md b/api-reference/groupby/groupby.size.md
new file mode 100644
index 0000000..a4ae97a
--- /dev/null
+++ b/api-reference/groupby/groupby.size.md
@@ -0,0 +1,87 @@
+---
+description: Obtain the last row of each groups
+---
+
+# Groupby.last
+
+> danfo.Groupby.last    \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L635)\]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the size of each group for dataframe grouped by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A"])
+grp.size().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ applyOps          ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 5                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ bar               │ 3                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the size of each group in dataframe grouped by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={A: ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           B: ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
+
+let df = new dfd.DataFrame(data)
+let grp = df.groupby(["A","B"])
+grp.size().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A_Group           │ B_Group           │ applyOps          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 1                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+****
\ No newline at end of file
diff --git a/api-reference/groupby/groupby.std.md b/api-reference/groupby/groupby.std.md
index c792a8e..f0d1516 100644
--- a/api-reference/groupby/groupby.std.md
+++ b/api-reference/groupby/groupby.std.md
@@ -4,7 +4,7 @@ description: Obtain the standard deviation per groups for specified columns
 
 # Groupby.std
 
-> danfo.Groupby.**std**()      \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L262)]
+> danfo.Groupby.**std**()      \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L448)]
 
 **Parameters**: None
 
@@ -20,17 +20,15 @@ Obtain the standard deviation of a column for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
-
-
 let grp = df.groupby(["A"])
 grp.col(["C"]).std().print()
 ```
@@ -58,13 +56,13 @@ Obtain the std for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -94,13 +92,13 @@ Obtain the std for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -137,13 +135,13 @@ Obtain the std for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
diff --git a/api-reference/groupby/groupby.sum.md b/api-reference/groupby/groupby.sum.md
index f6f2900..6ad83df 100644
--- a/api-reference/groupby/groupby.sum.md
+++ b/api-reference/groupby/groupby.sum.md
@@ -4,7 +4,7 @@ description: Obtain the sum per groups for columns
 
 # Groupby.sum
 
-> danfo.Groupby.sum()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L256)]
+> danfo.Groupby.sum()     \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L440)]
 
 **Parameters**: None
 
@@ -19,17 +19,16 @@ Obtain the sum of a column for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A"])
 grp.col(["C"]).sum().print()
 ```
@@ -38,8 +37,6 @@ grp.col(["C"]).sum().print()
 
 ```
 
- Shape: (2,2) 
-
 ╔═══╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ C_sum             ║
 ╟───┼───────────────────┼───────────────────╢
@@ -56,17 +53,16 @@ Obtain the sum for two columns for each group, group by one column
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A"])
 grp.col(["C","D"]).sum().print()
 ```
@@ -74,8 +70,6 @@ grp.col(["C","D"]).sum().print()
 {% endtabs %}
 
 ```
- Shape: (2,3) 
-
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║   │ A                 │ C_sum             │ D_sum             ║
 ╟───┼───────────────────┼───────────────────┼───────────────────╢
@@ -92,17 +86,16 @@ Obtain the sum for a column for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A","B"])
 grp.col(["C"]).sum().print()
 ```
@@ -134,17 +127,16 @@ Obtain the sum for two columns for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A","B"])
 grp.col(["C","D"]).sum().print()
 ```
@@ -152,21 +144,21 @@ grp.col(["C","D"]).sum().print()
 {% endtabs %}
 
 ```
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_sum             │ D_sum             ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ bar               │ two               │ 2                 │ 6                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_sum             │ D_sum             ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 7                 │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ two               │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 ****
diff --git a/api-reference/groupby/groupby.var.md b/api-reference/groupby/groupby.var.md
index 373109f..08a9d97 100644
--- a/api-reference/groupby/groupby.var.md
+++ b/api-reference/groupby/groupby.var.md
@@ -4,7 +4,7 @@ description: Obtain the variance per groups for a specified column
 
 # Groupby.var
 
-> danfo.Groupby.**var**()     \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L268)]
+> danfo.Groupby.**var**()     \[[source](https://github.com/javascriptdata/danfojs/blob/9bfda6dcb6b2b620591ec7b3340d35e3f801c8ab/src/danfojs-base/aggregators/groupby.ts#L456)]
 
 **Parameters**: None
 
@@ -20,17 +20,16 @@ Obtain the variance of a column for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
-
 let grp = df.groupby(["A"])
 grp.col(["C"]).var().print()
 ```
@@ -58,13 +57,13 @@ Obtain the var for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -94,13 +93,13 @@ Obtain the var for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
@@ -137,13 +136,13 @@ Obtain the var for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 

From aa43be1715471ba7857db76c7fbab5bf2673447a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 30 Jan 2022 11:18:59 +0000
Subject: [PATCH 171/202] GitBook: [#217] No subject

---
 SUMMARY.md                               |  4 +++
 api-reference/dataframe/dataframe.at.md  | 36 ++++++++++++++++++++++++
 api-reference/dataframe/dataframe.iat.md | 36 ++++++++++++++++++++++++
 api-reference/series/series.at.md        | 31 ++++++++++++++++++++
 api-reference/series/series.iat.md       | 31 ++++++++++++++++++++
 5 files changed, 138 insertions(+)
 create mode 100644 api-reference/dataframe/dataframe.at.md
 create mode 100644 api-reference/dataframe/dataframe.iat.md
 create mode 100644 api-reference/series/series.at.md
 create mode 100644 api-reference/series/series.iat.md

diff --git a/SUMMARY.md b/SUMMARY.md
index d9a3ae2..303cc26 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -84,6 +84,8 @@
     * [Series.lt](api-reference/series/series.lt.md)
     * [Series.iloc](api-reference/series/series.iloc.md)
     * [Series.loc](api-reference/series/series.loc.md)
+    * [Series.at](api-reference/series/series.at.md)
+    * [Series.iat](api-reference/series/series.iat.md)
     * [Series.ndim](api-reference/series/series.ndim.md)
     * [Series.shape](api-reference/series/series.shape.md)
     * [Series.dtype](api-reference/series/series.dtype.md)
@@ -145,6 +147,8 @@
     * [DataFrame.index](api-reference/dataframe/dataframe.index.md)
     * [DataFrame.loc](api-reference/dataframe/danfo.dataframe.loc.md)
     * [DataFrame.iloc](api-reference/dataframe/danfo.dataframe.iloc.md)
+    * [DataFrame.at](api-reference/dataframe/dataframe.at.md)
+    * [DataFrame.iat](api-reference/dataframe/dataframe.iat.md)
     * [DataFrame.head](api-reference/dataframe/danfo.dataframe.head.md)
     * [DataFrame.tail](api-reference/dataframe/danfo.dataframe.tail.md)
     * [DataFrame.sample](api-reference/dataframe/danfo.dataframe.sample.md)
diff --git a/api-reference/dataframe/dataframe.at.md b/api-reference/dataframe/dataframe.at.md
new file mode 100644
index 0000000..180413d
--- /dev/null
+++ b/api-reference/dataframe/dataframe.at.md
@@ -0,0 +1,36 @@
+---
+description: Access a single value for a row/column label pair.
+---
+
+# DataFrame.at
+
+> danfo.DataFrame.at(row, column)
+
+| Parameters | Type           | Description               | Default |
+| ---------- | -------------- | ------------------------- | ------- |
+| row        | Number, String | row position in the index |         |
+| column     | String         | Column position           |         |
+
+**Return:** Scalar
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: [1, "b", "c", "d"] })
+df.at(1, "Count")
+
+//output
+21
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/dataframe/dataframe.iat.md b/api-reference/dataframe/dataframe.iat.md
new file mode 100644
index 0000000..c50f4f3
--- /dev/null
+++ b/api-reference/dataframe/dataframe.iat.md
@@ -0,0 +1,36 @@
+---
+description: Access a single value for a row/column pair by integer position.
+---
+
+# DataFrame.iat
+
+> danfo.DataFrame.iat(row, column)
+
+| Parameters | Type   | Description           | Default |
+| ---------- | ------ | --------------------- | ------- |
+| row        | Number | row index position    |         |
+| column     | Number | Column index position |         |
+
+**Return:** Scalar
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data = {
+    "Name": ["Apples", "Mango", "Banana", "Pear"],
+    "Count": [21, 5, 30, 10],
+    "Price": [200, 300, 40, 250]
+}
+
+let df = new dfd.DataFrame(data, { index: [1, "b", "c", "d"] })
+df.iat(1, 2)
+
+//output
+300
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/series/series.at.md b/api-reference/series/series.at.md
new file mode 100644
index 0000000..887050c
--- /dev/null
+++ b/api-reference/series/series.at.md
@@ -0,0 +1,31 @@
+---
+description: Access a single value for a row/column label pair.
+---
+
+# Series.at
+
+> danfo.Series.at(label)
+
+| Parameters | Type   | Description       | Default |
+| ---------- | ------ | ----------------- | ------- |
+| label      | String | label to index by |         |
+
+**Return:** Scalar
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series(["Apples", "Mango", "Banana", "Pear"],
+    { index: ["a", "b", "c", "d"] }
+)
+
+sf.at("a")
+
+// "Apples"
+```
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/series/series.iat.md b/api-reference/series/series.iat.md
new file mode 100644
index 0000000..3f17e6b
--- /dev/null
+++ b/api-reference/series/series.iat.md
@@ -0,0 +1,31 @@
+---
+description: Access a single value for a row/column pair by integer position.
+---
+
+# Series.iat
+
+> danfo.Series.iat(index)
+
+| Parameters | Type   | Description  | Default |
+| ---------- | ------ | ------------ | ------- |
+| index      | Number | index value  |         |
+
+**Return:** Scalar
+
+
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let sf = new dfd.Series(["Apples", "Mango", "Banana", "Pear"],
+    { index: ["a", "b", "c", "d"] }
+)
+
+sf.iat(1)
+
+// "Mango"
+```
+{% endtab %}
+{% endtabs %}

From a62526e5c23555bf88eb7177b24850f679682f5a Mon Sep 17 00:00:00 2001
From: Kit Sunde <kitsunde@gmail.com>
Date: Tue, 8 Mar 2022 13:19:32 +0800
Subject: [PATCH 172/202] asType takes a String not an array.

---
 api-reference/dataframe/dataframe.astype.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/dataframe.astype.md b/api-reference/dataframe/dataframe.astype.md
index 45adf39..5e0d9cd 100644
--- a/api-reference/dataframe/dataframe.astype.md
+++ b/api-reference/dataframe/dataframe.astype.md
@@ -8,7 +8,7 @@ danfo.DataFrame.asType(options)&#x20;
 
 | Parameters | Type   | Description                                                                                                                                                                                                                                                                                               | Default            |
 | ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ |
-| options    | Object | <p>{</p><p><strong>column</strong>: Array, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
+| options    | Object | <p>{</p><p><strong>column</strong>: String, label/column name of column to cast</p><p><strong>dtype</strong>: dtype to cast to. One of [string, float32, int32, boolean]</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { inplace: false } |
 
 ## **Examples**
 

From fd87f519815fecad1fc40add9d94e7f85f795cc3 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Tue, 8 Mar 2022 08:17:40 +0000
Subject: [PATCH 173/202] GitBook: [#218] No subject

---
 api-reference/groupby/groupby.cummin.md     | 255 +++++++++++++++++++
 api-reference/groupby/groupby.cumprod.md    | 255 +++++++++++++++++++
 api-reference/groupby/groupby.cumsum.md     | 257 ++++++++++++++++++++
 api-reference/groupby/groupby.get_groups.md | 128 ++++++++++
 release-notes.md                            |  23 +-
 5 files changed, 916 insertions(+), 2 deletions(-)
 create mode 100644 api-reference/groupby/groupby.cummin.md
 create mode 100644 api-reference/groupby/groupby.cumprod.md
 create mode 100644 api-reference/groupby/groupby.cumsum.md
 create mode 100644 api-reference/groupby/groupby.get_groups.md

diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
new file mode 100644
index 0000000..5f4b026
--- /dev/null
+++ b/api-reference/groupby/groupby.cummin.md
@@ -0,0 +1,255 @@
+---
+description: Obtain the cummulative minimum per groups for each column
+---
+
+# Groupby.cummin
+
+> danfo.Groupby.**cummin**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative min of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 1                 │ 3                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cummin          │ D_cummin          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 2                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 3                 │ 1                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 2                 │ 1                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cummin().head().print()
+grp.col(["C"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cummin for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cummin().head().print()
+grp.col(["C","D"]).cummin().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
new file mode 100644
index 0000000..0c3ac81
--- /dev/null
+++ b/api-reference/groupby/groupby.cumprod.md
@@ -0,0 +1,255 @@
+---
+description: Obtain the cumulative product per group for each column
+---
+
+# Groupby.cumprod
+
+> danfo.Groupby.**cumprod**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative product of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 12                ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 24                ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 2                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 10                │ 60                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 60                │ 420               ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 420               │ 3360              ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumprod         │ D_cumprod         ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 24                │ 12                ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 12                │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 24                │ 12                ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumprod().head().print()
+grp.col(["C"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumprod for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumprod().head().print()
+grp.col(["C","D"]).cumprod().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+  Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 21                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 10                │ 20                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
new file mode 100644
index 0000000..4262130
--- /dev/null
+++ b/api-reference/groupby/groupby.cumsum.md
@@ -0,0 +1,257 @@
+---
+description: Obtain the cumulative sum per groups for each column
+---
+
+# Groupby.cumsum
+
+> danfo.Groupby.**cumsum**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
+
+**Parameters**: None
+
+**Return**: DataFrame
+
+**Examples**
+
+Obtain the cumulative sum of a column for each groups, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╚═══╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,2) 
+
+╔═══╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                ║
+╟───┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                ║
+╟───┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ 3                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ 7                 ║
+╟───┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ 9                 ║
+╚═══╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for two columns for each group, group by one column
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ 3                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ 8                 │ 12                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ 14                │ 19                ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ 21                │ 27                ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║    │ A                 │ C_cumsum          │ D_cumsum          ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 11 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 12 │ bar               │ 9                 │ 9                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 13 │ bar               │ 3                 │ 2                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 14 │ bar               │ 7                 │ 3                 ║
+╟────┼───────────────────┼───────────────────┼───────────────────╢
+║ 15 │ bar               │ 9                 │ 9                 ║
+╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the cumsum for a column for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C"]).cumsum().head().print()
+grp.col(["C"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,3) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Obtain the count for two columns for each group, group by two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+let grp = df.groupby(["A","B"])
+grp.col(["C","D"]).cumsum().head().print()
+grp.col(["C","D"]).cumsum().tail().print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+  
+   Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 7                 │ 10                ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ two               │ 7                 │ 9                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6 │ bar               │ two               │ 2                 │ 6                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7 │ bar               │ three             │ 4                 │ 1                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+***
diff --git a/api-reference/groupby/groupby.get_groups.md b/api-reference/groupby/groupby.get_groups.md
new file mode 100644
index 0000000..9f19971
--- /dev/null
+++ b/api-reference/groupby/groupby.get_groups.md
@@ -0,0 +1,128 @@
+---
+description: Obtain the data for each element of the groupby column
+---
+
+# Groupby.get\_groups
+
+> danfo.Groupby.get\_groups(key) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)]
+
+| Parameters | Type  | Description                   | default |
+| ---------- | ----- | ----------------------------- | ------- |
+| key        | Array | element of the groupby column |         |
+
+**Returns**: DataFrame
+
+**Example**
+
+Group the dataframe by column A and obtain the group belonging to the values in column A
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A"])
+
+grp.get_groups(["foo"]).print()
+
+grp.get_groups(["bar"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+//get groups for key "foo"
+ Shape: (5,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ two               │ 2                 │ 4                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ foo               │ two               │ 5                 │ 5                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3 │ foo               │ one               │ 6                 │ 7                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4 │ foo               │ three             │ 7                 │ 8                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get groups for key "bar"
+
+ Shape: (3,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ bar               │ three             │ 4                 │ 1                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2 │ bar               │ two               │ 2                 │ 6                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
+
+Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
+
+{% tabs %}
+{% tab title="Node" %}
+```javascript
+const dfd = require("danfojs-node")
+
+let data ={'A': ['foo', 'bar', 'foo', 'bar',
+                'foo', 'bar', 'foo', 'foo'],
+           'B': ['one', 'one', 'two', 'three',
+                'two', 'two', 'one', 'three'],
+           'C': [1,3,2,4,5,2,6,7],
+           'D': [3,2,4,1,5,6,7,8]
+        }
+
+let df = new dfd.DataFrame(data)
+
+
+let grp = df.groupby(["A","B"])
+
+grp.get_groups(["foo","one"]).print()
+
+grp.get_groups(["bar","one"]).print()
+```
+{% endtab %}
+{% endtabs %}
+
+```
+//get_groups(["foo","one"]
+
+
+ Shape: (2,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ foo               │ one               │ 1                 │ 3                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1 │ foo               │ one               │ 6                 │ 7                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+//get_groups(["bar","one"])
+
+
+ Shape: (1,4) 
+
+╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║   │ A                 │ B                 │ C                 │ D                 ║
+╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0 │ bar               │ one               │ 3                 │ 2                 ║
+╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+```
diff --git a/release-notes.md b/release-notes.md
index ff5907d..365c86d 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,15 +1,34 @@
 # Release Notes
 
-### \[LATEST] Release Node (v1.0.2), Browser (v1.0.2)
+### \[LATEST] Release Node (v1.0.3), Browser (v1.0.3)
+
+**Date:** 8th March 2022
+
+#### What's Changed
+
+* add max to list of arithmetic operations by @steveoni in https://github.com/javascriptdata/danfojs/pull/367
+* correct lenght -> length by @adamgilman in https://github.com/javascriptdata/danfojs/pull/393
+* Bug fixes by @risenW in https://github.com/javascriptdata/danfojs/pull/395
+* Fix bug in groupby checking wrong colDtype by @igonro in https://github.com/javascriptdata/danfojs/pull/398
+* fix(test): Explicit type in test allows TS to compile by @NeonSpork in https://github.com/javascriptdata/danfojs/pull/411
+* Jan kaul esmodule by @risenW in https://github.com/javascriptdata/danfojs/pull/415
+
+#### Contributors: @risenW @steveoni @adamgilman @igonro @NeonSpork&#x20;
+
+**Full Changelog**: https://github.com/javascriptdata/danfojs/compare/v1.0.2...v1.0.3
+
+### Release Node (v1.0.2), Browser (v1.0.2)
+
 **Date:** 19th Jan 2022
 
 #### What's Changed
+
 * Update TensorFlow version to fix M1 chip incompatibility by @risenW in https://github.com/javascriptdata/danfojs/pull/358
 * Add new feature `iat` and `at` by @risenW in https://github.com/javascriptdata/danfojs/pull/359
 * Fixed issue with sort by values by @risenW in https://github.com/javascriptdata/danfojs/pull/360
 
-
 **Full Changelog**: https://github.com/javascriptdata/danfojs/compare/v1.0.1...v1.0.2
+
 ### Release Node (v1.0.1), Browser (v1.0.1)
 
 **Date:** 16th Jan 2022

From fd75315b3fa36f86baa9890e13e46ddcdc87384f Mon Sep 17 00:00:00 2001
From: NeonSpork <leiknes@gmail.com>
Date: Thu, 10 Mar 2022 14:15:28 +0100
Subject: [PATCH 174/202] docs: Added doc pages for `DataFrame.diff()` and
 `DataFrame.pctChange()`

---
 .../dataframe/danfo.dataframe.diff.md         | 313 ++++++++++++++++++
 .../dataframe/danfo.dataframe.pctChange.md    | 305 +++++++++++++++++
 2 files changed, 618 insertions(+)
 create mode 100644 api-reference/dataframe/danfo.dataframe.diff.md
 create mode 100644 api-reference/dataframe/danfo.dataframe.pctChange.md

diff --git a/api-reference/dataframe/danfo.dataframe.diff.md b/api-reference/dataframe/danfo.dataframe.diff.md
new file mode 100644
index 0000000..315e699
--- /dev/null
+++ b/api-reference/dataframe/danfo.dataframe.diff.md
@@ -0,0 +1,313 @@
+---
+description: >-
+  Get difference between a dataframe and other. Accepts DataFrame, Series, number[] and number.
+---
+
+# DataFrame.diff
+
+danfo.DataFrame.diff(other, option)&#x20;
+
+| Parameters | Type                               | Description                                                                                                                                                                                            | Default                     |
+| ---------- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to calculate difference with                                                                                                                                                                    |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for column, 1 for row (default).</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
+
+## **Examples**
+
+### Difference with **previous row** of current DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [10, 10, 10],
+  [1, 2, 3],
+];
+
+const df = new dfd.DataFrame(data);
+
+const df_new = df.diff(1);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [10, 10, 10],
+        [1, 2, 3],
+      ];
+
+      const df = new dfd.DataFrame(data);
+
+      const df_new = df.diff(1);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ NaN               │ NaN               │ NaN               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 10                │ 8                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ -9                │ -8                │ -7                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Difference with **following row** of current DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [10, 10, 10],
+  [1, 2, 3],
+];
+
+const df = new dfd.DataFrame(data);
+
+const df_new = df.diff(-1);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [10, 10, 10],
+        [1, 2, 3],
+      ];
+
+      const df = new dfd.DataFrame(data);
+
+      const df_new = df.diff(-1);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -10               │ -8                │ -6                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 10                │ 8                 │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ NaN               │ NaN               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Difference with **Series** and DataFrame along axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [10, 10, 10],
+  [1, 2, 3],
+];
+
+const df = new dfd.DataFrame(data);
+
+const sf = new dfd.Series([1, 2, 1]);
+
+const df_new = df.diff(sf);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [10, 10, 10],
+        [1, 2, 3],
+      ];
+
+      const df = new dfd.DataFrame(data);
+
+      const sf = new dfd.Series([1, 2, 1]);
+
+      const df_new = df.diff(sf);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -1                │ 0                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 9                 │ 8                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Difference between DataFrame and **another** DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [3, 10, 4],
+];
+
+const original_df = new dfd.DataFrame(data);
+
+const comparison_df = new dfd.DataFrame([
+  [-1, -2, 4],
+  [10, 5, 0],
+]);
+
+const df_new = original_df.diff(comparison_df);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [3, 10, 4],
+      ];
+
+      const original_df = new dfd.DataFrame(data);
+
+      const comparison_df = new dfd.DataFrame([
+        [-1, -2, 4],
+        [10, 5, 0],
+      ]);
+
+      const df_new = original_df.diff(comparison_df);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ 1                 │ 4                 │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ -7                │ 5                 │ 4                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.pctChange.md b/api-reference/dataframe/danfo.dataframe.pctChange.md
new file mode 100644
index 0000000..c07fc65
--- /dev/null
+++ b/api-reference/dataframe/danfo.dataframe.pctChange.md
@@ -0,0 +1,305 @@
+---
+description: >-
+  Get percent difference between a dataframe and other. Accepts DataFrame, Series, number[] and number.
+---
+
+# DataFrame.pctChange
+
+danfo.DataFrame.pctChange(other, option)&#x20;
+
+| Parameters | Type                               | Description                                                                                                                                                                                            | Default                     |
+| ---------- | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------- |
+| other      | DataFrame, Series, Array or Scalar | Object to calculate difference with                                                                                                                                                                    |                             |
+| option     | Object                             | <p>{</p><p><strong>axis</strong>: 0 for column, 1 for row (default).</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p><p>}</p> | { axis: 1, inplace: false } |
+
+## **Examples**
+
+### Percent difference with **previous row** of current DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [[90], [900], [900]];
+
+const df = new dfd.DataFrame(data);
+
+const df_new = df.pctChange(1);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [[90, 900, 900]];
+
+      const df = new dfd.DataFrame(data);
+
+      const df_new = df.pctChange(1);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╗
+║            │ Col1              ║
+╟────────────┼───────────────────╢
+║ 0          │ NaN               ║
+╟────────────┼───────────────────╢
+║ 1          │ 9                 ║
+╟────────────┼───────────────────╢
+║ 2          │ 0                 ║
+╚════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Percentage difference with **following row** of current DataFrame along default axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 5, 15],
+  [10, 10, 10],
+  [1, 2, 5],
+];
+
+const df = new dfd.DataFrame(data);
+
+const df_new = df.pctChange(-1);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 5, 15],
+        [10, 10, 10],
+        [1, 2, 5],
+      ];
+
+      const df = new dfd.DataFrame(data);
+
+      const df_new = df.pctChange(-1);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -1                │ -0.5              │ 0.5               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 9                 │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ NaN               │ NaN               │ NaN               ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Percentage difference with **Series** and DataFrame along axis 1
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [10, 10, 10],
+  [1, 2, 3],
+];
+
+const df = new dfd.DataFrame(data);
+
+const sf = new dfd.Series([1, 2, 1]);
+
+const df_new = df.pctChange(sf);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [10, 10, 10],
+        [1, 2, 3],
+      ];
+
+      const df = new dfd.DataFrame(data);
+
+      const sf = new dfd.Series([1, 2, 1]);
+
+      const df_new = df.pctChange(sf);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -1                │ 0                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ 9                 │ 4                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ 0                 │ 0                 │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}
+
+### Percentage difference between DataFrame and **another** DataFrame
+
+{% tabs %}
+{% tab title="Node" %}
+
+```javascript
+import * as dfd from "danfojs";
+
+const data = [
+  [0, 2, 4],
+  [3, 10, 4],
+];
+
+const original_df = new dfd.DataFrame(data);
+
+const comparison_df = new dfd.DataFrame([
+  [-1, -2, 4],
+  [6, 5, 0],
+]);
+
+const df_new = original_df.pctChange(comparison_df);
+
+df_new.print();
+```
+
+{% endtab %}
+
+{% tab title="Browser" %}
+
+```html
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+  </head>
+
+  <body>
+    <script>
+      const data = [
+        [0, 2, 4],
+        [3, 10, 4],
+      ];
+
+      const original_df = new dfd.DataFrame(data);
+
+      const comparison_df = new dfd.DataFrame([
+        [-1, -2, 4],
+        [6, 5, 0],
+      ]);
+
+      const df_new = original_df.pctChange(comparison_df);
+    </script>
+  </body>
+</html>
+```
+
+{% endtab %}
+{% endtabs %}
+
+{% tabs %}
+{% tab title="Output" %}
+
+```
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ Col1              │ Col2              │ Col3              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ -1                │ -2                │ 0                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ -0.5              │ 1                 │ -1                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
+```
+
+{% endtab %}
+{% endtabs %}

From 89657203f8b86a4f8056105b80640a373ecae492 Mon Sep 17 00:00:00 2001
From: Chris Jung <kontakt@chrisjung.de>
Date: Wed, 16 Mar 2022 09:06:32 +0100
Subject: [PATCH 175/202] fix browser side example.

---
 api-reference/input-output/danfo.read_excel.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index f966c10..73c79ed 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -84,7 +84,8 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <body>
     <input type="file" id="file" name="file">
     <script>
-            
+        const inputFile = document.querySelector('#file')
+        
         inputFile.addEventListener("change", async () => {
             const excelFile = inputFile.files[0]
             dfd.readExcel(excelFile).then((df) => {

From c977c1a7c3b896149e63e82a09518c401d36a59f Mon Sep 17 00:00:00 2001
From: Odee <odjhey@gmail.com>
Date: Mon, 28 Mar 2022 22:00:39 +0800
Subject: [PATCH 176/202] Update
 titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md

fix typo, strong -> string
---
 ...anic-survival-prediction-using-danfo.js-and-tensorflow.js.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index 9ee7073..a109541 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -107,7 +107,7 @@ df.ctypes.print()
 ╚═════════════════════════╧══════════════════════╝
 ```
 
-From the data types table above, you'll notice that there are two strong columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
+From the data types table above, you'll notice that there are two string columns. The first is the Name column which contains Names of each passenger. From the head of the dataset you printed above, you'll confirm that each name has a title. So you can extract these titles from the names and this can serve as a new feature.
 
 ```javascript
 //A feature engineering: Extract all titles from names columns

From 6754be5d9ed15885f732fb45f34c51d88a24f8d4 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Apr 2022 14:29:49 +0100
Subject: [PATCH 177/202] update danfo script tag version number to latest

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 .../dataframe/danfo.dataframe.diff.md         |  8 ++--
 .../dataframe/danfo.dataframe.pctChange.md    |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 40 +++++++++----------
 release-notes.md                              |  2 +-
 19 files changed, 57 insertions(+), 57 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 989efe5..be01b23 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/danfo.dataframe.diff.md b/api-reference/dataframe/danfo.dataframe.diff.md
index 315e699..5288bad 100644
--- a/api-reference/dataframe/danfo.dataframe.diff.md
+++ b/api-reference/dataframe/danfo.dataframe.diff.md
@@ -45,7 +45,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -117,7 +117,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -191,7 +191,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -269,7 +269,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/danfo.dataframe.pctChange.md b/api-reference/dataframe/danfo.dataframe.pctChange.md
index c07fc65..7c64103 100644
--- a/api-reference/dataframe/danfo.dataframe.pctChange.md
+++ b/api-reference/dataframe/danfo.dataframe.pctChange.md
@@ -41,7 +41,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -109,7 +109,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -183,7 +183,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -261,7 +261,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index bf824df..dc571f5 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 1441bd1..4ce0f25 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d8f9955..d2d7c5b 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 73c79ed..1a75ab3 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 627dfdb..5013471 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index 090526a..a58b98b 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index dd690d7..13b2d17 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index a39ecbf..d84cd06 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 181b055..53b6868 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 3c8ceaa..cf47c01 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 4515a43..28ceff7 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 1b53f6a..1b38e80 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index fe04a29..a327596 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index bc7c71a..eb13f14 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index 2d6eb0c..c2870c3 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -36,10 +36,10 @@ or
 yarn add danfojs
 ```
 
-For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs?version=0.3.1\&path=lib):
+For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
 <title>Document</title>
 </head>
 
@@ -291,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -369,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -460,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -568,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -653,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -733,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -806,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -876,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1293,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1382,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1600,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2213,7 +2213,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2265,7 +2265,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2360,7 +2360,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 365c86d..9707cf9 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -163,7 +163,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.2/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From 30fa68505ded642d35c647879c8fdc5cbb516677 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Apr 2022 14:31:56 +0100
Subject: [PATCH 178/202] Update groupby doc

---
 api-reference/groupby/groupby.cummin.md  |  76 ++++---
 api-reference/groupby/groupby.cumprod.md | 208 ++++++++----------
 api-reference/groupby/groupby.cumsum.md  | 267 +++++++++--------------
 3 files changed, 234 insertions(+), 317 deletions(-)

diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
index 5f4b026..1b569fa 100644
--- a/api-reference/groupby/groupby.cummin.md
+++ b/api-reference/groupby/groupby.cummin.md
@@ -2,9 +2,9 @@
 description: Obtain the cummulative minimum per groups for each column
 ---
 
-# Groupby.cummin
+# Groupby.cumMin
 
-> danfo.Groupby.**cummin**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L297)]
+> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
 
 **Parameters**: None
 
@@ -20,24 +20,27 @@ Obtain the cumulative min of a column for each groups, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
+let grpColC = grp.col(["C"])
+grpColC.cumMin().head().print()
+grpColC.cumMin().tail().print()
+
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
+
  Shape: (5,2) 
 
 ╔═══╤═══════════════════╤═══════════════════╗
@@ -80,24 +83,25 @@ Obtain the cummin for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
+let grpCol = grp.col("C","D"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
   
  Shape: (5,3) 
 
@@ -141,24 +145,26 @@ Obtain the cummin for a column for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C"]).cummin().head().print()
-grp.col(["C"]).cummin().tail().print()
+let grpCol = grp.col(["C"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
+
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
   Shape: (5,3) 
 
 ╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
@@ -201,24 +207,25 @@ Obtain the cummin for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cummin().head().print()
-grp.col(["C","D"]).cummin().tail().print()
+let grpCol = grp.col(["C","D"])
+grpCol.cumMin().head().print()
+grpCol.cumMin().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
   
   Shape: (5,4) 
 
@@ -253,3 +260,4 @@ grp.col(["C","D"]).cummin().tail().print()
 ║ 7 │ bar               │ three             │ 4                 │ 1                 ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
+
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
index 0c3ac81..e47444c 100644
--- a/api-reference/groupby/groupby.cumprod.md
+++ b/api-reference/groupby/groupby.cumprod.md
@@ -2,9 +2,9 @@
 description: Obtain the cumulative product per group for each column
 ---
 
-# Groupby.cumprod
+# Groupby.cumProd
 
-> danfo.Groupby.**cumprod**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L291)]
+> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
 
 **Parameters**: None
 
@@ -20,24 +20,26 @@ Obtain the cumulative product of a column for each groups, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
+let grpCol = grp.col(["C"])
+grpCol.cumProd().head().print()
+grpCol.cumProd().tail().print()
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
+
  Shape: (5,2) 
 
 ╔═══╤═══════════════════╤═══════════════════╗
@@ -91,46 +93,33 @@ let data ={'A': ['foo', 'bar', 'foo', 'bar',
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
+let grpCol = grp.col(["C","D"])
+grpCol.cumProd().print()
 ```
 {% endtab %}
 {% endtabs %}
 
-```
+```text
   
-Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                │ 60                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                │ 420               ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               │ 3360              ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 24                │ 12                ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 12                │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 24                │ 12                ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumprod         │ D_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 2                 │ 12                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 10                │ 60                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 60                │ 420               ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 420               │ 3360              ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 12                │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 24                │ 12                ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Obtain the cumprod for a column for each group, group by two columns
@@ -152,45 +141,33 @@ let data ={'A': ['foo', 'bar', 'foo', 'bar',
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumprod().head().print()
-grp.col(["C"]).cumprod().tail().print()
+let grpCol = grp.col(["C"])
+grpCol.cumProd().print()
+
 ```
 {% endtab %}
 {% endtabs %}
 
-```
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+```text
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 6                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Obtain the cumprod for two columns for each group, group by two columns
@@ -201,55 +178,44 @@ Obtain the cumprod for two columns for each group, group by two columns
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumprod().head().print()
-grp.col(["C","D"]).cumprod().tail().print()
+let grpCol = grp.col(["C","D"])
+grpCol.cumProd().print()
 ```
 {% endtab %}
 {% endtabs %}
 
+```text
+
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 6                 │ 21                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 10                │ 20                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 6                 │ 21                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 10                │ 20                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
+
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
index 4262130..2df6516 100644
--- a/api-reference/groupby/groupby.cumsum.md
+++ b/api-reference/groupby/groupby.cumsum.md
@@ -4,7 +4,7 @@ description: Obtain the cumulative sum per groups for each column
 
 # Groupby.cumsum
 
-> danfo.Groupby.**cumsum**() \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L280)]
+> danfo.Groupby.**cumsum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
 
 **Parameters**: None
 
@@ -20,56 +20,43 @@ Obtain the cumulative sum of a column for each groups, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
+grp.col(["C"]).cumSum().print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 7                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 9                 ║
-╚═══╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumsum          ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 8                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 14                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 21                ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 9                 ║
+╚════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 Obtain the cumsum for two columns for each group, group by one column
@@ -80,57 +67,42 @@ Obtain the cumsum for two columns for each group, group by one column
 const dfd = require("danfojs-node")
 
 
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
+grp.col(["C","D"]).cumSum().print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 3                 │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 8                 │ 12                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 14                │ 19                ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 21                │ 27                ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 9                 │ 9                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 7                 │ 3                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 9                 │ 9                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ C_cumsum          │ D_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ 3                 │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ 8                 │ 12                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ 14                │ 19                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ 21                │ 27                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ 7                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ 9                 │ 9                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
 Obtain the cumsum for a column for each group, group by two columns
@@ -140,57 +112,44 @@ Obtain the cumsum for a column for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumsum().head().print()
-grp.col(["C"]).cumsum().tail().print()
+grp.col(["C"]).cumSum().print()
+
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+
 ```
 
 Obtain the count for two columns for each group, group by two columns
@@ -200,58 +159,42 @@ Obtain the count for two columns for each group, group by two columns
 ```javascript
 const dfd = require("danfojs-node")
 
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
+let data ={A: ['foo', 'bar', 'foo', 'bar',
                 'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
+           B: ['one', 'one', 'two', 'three',
                 'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
+           C: [1,3,2,4,5,2,6,7],
+           D: [3,2,4,1,5,6,7,8]
+}
 
 let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumsum().head().print()
-grp.col(["C","D"]).cumsum().tail().print()
+grp.col(["C","D"]).cumSum().print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-  
-   Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 7                 │ 10                ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 7                 │ 9                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
+╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
+║            │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 0          │ foo               │ one               │ 1                 │ 3                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 1          │ foo               │ one               │ 7                 │ 10                ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 2          │ foo               │ two               │ 2                 │ 4                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 3          │ foo               │ two               │ 7                 │ 9                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 4          │ foo               │ three             │ 7                 │ 8                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 5          │ bar               │ one               │ 3                 │ 2                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 6          │ bar               │ three             │ 4                 │ 1                 ║
+╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
+║ 7          │ bar               │ two               │ 2                 │ 6                 ║
+╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-***
+****

From 6c51db4a1083ebef87252fe5c25e5a96ad3bfbaa Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sat, 2 Apr 2022 13:35:27 +0000
Subject: [PATCH 179/202] GitBook: [#219] No subject

---
 .gitbook/assets/newplot (2) (1).png           | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot (2) (2).png           | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot-29- (2) (1) (1).png   | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (1) (2).png   | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (1) (3).png   | Bin 0 -> 50358 bytes
 README.md                                     |   2 +-
 .../dataframe/danfo.dataframe.mod.md          |   5 -----
 .../dataframe/danfo.dataframe.mul.md          |   5 +----
 .../dataframe/danfo.dataframe.pow.md          |   7 +------
 api-reference/groupby/groupby.col.md          |  18 +++++++-----------
 api-reference/plotting/box-plots.md           |  12 +++---------
 .../plotting/configuring-your-plots.md        |   6 ++----
 api-reference/plotting/line-charts.md         |   2 +-
 api-reference/plotting/tables.md              |   8 ++------
 api-reference/plotting/timeseries-plots.md    |   3 +--
 ...-driven-applications-with-danfo.js-book.md |   2 +-
 examples/using-danfojs-in-react.md            |   2 +-
 17 files changed, 21 insertions(+), 51 deletions(-)
 create mode 100644 .gitbook/assets/newplot (2) (1).png
 create mode 100644 .gitbook/assets/newplot (2) (2).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (1).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (2).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (3).png

diff --git a/.gitbook/assets/newplot (2) (1).png b/.gitbook/assets/newplot (2) (1).png
new file mode 100644
index 0000000000000000000000000000000000000000..9f34611dd09a280c06d1a1f30b28dafc5f3936cb
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HcmV?d00001

diff --git a/README.md b/README.md
index d5001e5..92a7bb7 100644
--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@ D**anfo.js** is heavily inspired by the [Pandas](https://pandas.pydata.org/panda
 
 * Danfo.js is fast and supports[ Tensorflow.js](https://js.tensorflow.org)'s tensors out of the box. This means you can [convert Danfo.js ](api-reference/dataframe/)DataFrames to Tensors, and vice versa.
 * Easy handling of missing data (represented as `NaN, undefined, or null`) in data
-* Size mutability: columns can be inserted/deleted from DataFrame
+* Size mutability: columns can be inserted/deleted from DataFrames
 * Automatic and explicit alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let [`Series`](api-reference/series/), [`DataFrame`](api-reference/dataframe/), etc. automatically align the data for you in computations
 * Powerful, flexible, [groupby](api-reference/groupby/) functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data
 * Make it easy to convert Arrays, JSONs, List or Objects, Tensors, and differently-indexed data structures into DataFrame objects
diff --git a/api-reference/dataframe/danfo.dataframe.mod.md b/api-reference/dataframe/danfo.dataframe.mod.md
index f3cda7c..7979969 100644
--- a/api-reference/dataframe/danfo.dataframe.mod.md
+++ b/api-reference/dataframe/danfo.dataframe.mod.md
@@ -53,7 +53,6 @@ df_new.print()
 ║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -100,7 +99,6 @@ df_new.print()
 ║ 3          │ 1                 │ 4                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -148,7 +146,6 @@ df_new.print()
 ║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -194,7 +191,6 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -241,7 +237,6 @@ df.print()
 ║ 3          │ 0                 │ 0                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.mul.md b/api-reference/dataframe/danfo.dataframe.mul.md
index 41b2baf..a2e0071 100644
--- a/api-reference/dataframe/danfo.dataframe.mul.md
+++ b/api-reference/dataframe/danfo.dataframe.mul.md
@@ -4,7 +4,7 @@ description: Get Multiplication of dataframe and other, element-wise (binary ope
 
 # DataFrame.mul
 
-danfo.DataFrame.mul(other, option)&#x20;
+danfo.DataFrame.mul(other, option)
 
 | Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
 | ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
@@ -143,7 +143,6 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 0                 │ 8                 ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -190,7 +189,6 @@ df_new.print()
 ║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -236,7 +234,6 @@ df.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 20                │ 48                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/dataframe/danfo.dataframe.pow.md b/api-reference/dataframe/danfo.dataframe.pow.md
index 8a1bae7..1f2926d 100644
--- a/api-reference/dataframe/danfo.dataframe.pow.md
+++ b/api-reference/dataframe/danfo.dataframe.pow.md
@@ -6,7 +6,7 @@ description: >-
 
 # DataFrame.pow
 
-danfo.DataFrame.pow(other, option)&#x20;
+danfo.DataFrame.pow(other, option)
 
 | Parameters | Type                               | Description                                                                                                                                                                                  | Default                     |
 | ---------- | ---------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- |
@@ -55,7 +55,6 @@ df_new.print()
 ║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -102,7 +101,6 @@ df_new.print()
 ║ 3          │ 1                 │ 1024              ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -150,7 +148,6 @@ df_new.print()
 ║ 3          │ 0                 │ 16                ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -196,7 +193,6 @@ df_new.print()
 ╟────────────┼───────────────────┼───────────────────╢
 ║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
-
 ```
 {% endtab %}
 {% endtabs %}
@@ -243,7 +239,6 @@ df.print()
 ║ 3          │ 100               │ 576               ║
 ╚════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
 {% endtab %}
 {% endtabs %}
diff --git a/api-reference/groupby/groupby.col.md b/api-reference/groupby/groupby.col.md
index 130b18f..7ebc5dd 100644
--- a/api-reference/groupby/groupby.col.md
+++ b/api-reference/groupby/groupby.col.md
@@ -4,15 +4,15 @@ description: Obtain the column(s) per groups
 
 # Groupby.col
 
-> danfo.Groupby.col\(col\_names\)    \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)\]
+> danfo.Groupby.col(col\_names) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L104)]
 
-| Parameters | Type | Description | Default |
-| :--- | :--- | :--- | :--- |
-| col\_names | Array | List of column |  |
+| Parameters | Type  | Description    | Default |
+| ---------- | ----- | -------------- | ------- |
+| col\_names | Array | List of column |         |
 
 Returns: Groupby Data structure
 
-Note:    This is similar to pandas `df.groupby(["column"])["colNames"]`
+Note: This is similar to pandas `df.groupby(["column"])["colNames"]`
 
 **Examples**
 
@@ -50,9 +50,9 @@ grpColumnBD.apply(x=> x).print()
 {% endtab %}
 {% endtabs %}
 
-Apparently the output are not that useful unless you perform some operations like max\(\), count\(\) and the likes. 
+Apparently the output are not that useful unless you perform some operations like max(), count() and the likes.
 
-```text
+```
 // select single column C
 
 ╔════════════╤═══════════════════╤═══════════════════╗
@@ -97,8 +97,4 @@ Apparently the output are not that useful unless you perform some operations lik
 ║ 7          │ bar               │ two               │ 6                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-
 ```
-
-
-
diff --git a/api-reference/plotting/box-plots.md b/api-reference/plotting/box-plots.md
index da440d5..d87360b 100644
--- a/api-reference/plotting/box-plots.md
+++ b/api-reference/plotting/box-plots.md
@@ -35,7 +35,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -61,12 +60,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (23).png>)
+![](../../.gitbook/assets/newplot-23-.png)
 
 ### Box plots on a DataFrame
 
@@ -102,7 +100,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -137,12 +134,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
+![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1) (1).png>)
 
 ### Box plot for selected columns in a DataFrame
 
@@ -183,7 +179,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -217,12 +212,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (24).png>)
+![](<../../.gitbook/assets/newplot-24- (1).png>)
 
 {% hint style="info" %}
 To customize your plots, see the [Configuring your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/configuring-your-plots.md b/api-reference/plotting/configuring-your-plots.md
index dccfa01..679192d 100644
--- a/api-reference/plotting/configuring-your-plots.md
+++ b/api-reference/plotting/configuring-your-plots.md
@@ -15,7 +15,7 @@ The config parameter extends the [Plotly.js config](https://plotly.com/javascrip
 | **columns**          | Array of column names to plot.                                                                                                                                                                 | All columns in the DataFrame when applicable |
 | **values**           | Used to configure a `pie` chart. A column name containing values for the pie. Maps 1-1 with labels.                                                                                            |                                              |
 | **labels**           | Used to configure a `pie` chart. A column name containing labels for the pie. Maps 1-1 with values.                                                                                            |                                              |
-| **rowPositions**     | Used to configure a `pie` chart.  Pie chart domain row. See [https://plotly.com/javascript/reference/pie/#pie-domain-row](https://plotly.com/javascript/reference/pie/#pie-domain-row)         | Range of `0 - DataFrame column length`       |
+| **rowPositions**     | Used to configure a `pie` chart. Pie chart domain row. See [https://plotly.com/javascript/reference/pie/#pie-domain-row](https://plotly.com/javascript/reference/pie/#pie-domain-row)          | Range of `0 - DataFrame column length`       |
 | **columnPositions**  | Used to configure a `pie` chart. Pie chart domain column. See [https://plotly.com/javascript/reference/pie/#pie-domain-column](https://plotly.com/javascript/reference/pie/#pie-domain-column) | Range of `0 - DataFrame column length`       |
 | **grid**             | <p>Used to configure a <code>pie</code> chart. Accepts the following parameter:<br><br><strong>row</strong>: Integer size<br><strong>column</strong>: Integer size</p>                         |                                              |
 | **tableHeaderStyle** | Table properties used for configuring table header. See [full list](https://plotly.com/javascript/reference/table/#table-header) of supported arguments.                                       |                                              |
@@ -80,7 +80,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endtab %}
 
@@ -134,11 +133,10 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (32).png>)
+![](../../.gitbook/assets/newplot-32-.png)
 
 ##
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index cf47c01..7f75b6c 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -67,7 +67,7 @@ The example below shows the plot of column values against a common x-axis (index
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (2).png>)
+![](<../../.gitbook/assets/newplot (2) (2).png>)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/api-reference/plotting/tables.md b/api-reference/plotting/tables.md
index 7dfc1b5..dfeaca5 100644
--- a/api-reference/plotting/tables.md
+++ b/api-reference/plotting/tables.md
@@ -38,7 +38,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -72,12 +71,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
+![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png)
 
 ### Configure the header and cell of a table
 
@@ -134,7 +132,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -189,9 +186,8 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
+![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png)
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index d34888e..7cae867 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -105,12 +105,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot-29- (2) (1).png>)
+![](<../../.gitbook/assets/newplot-29- (2) (2) (1).png>)
 
 {% hint style="info" %}
 To set customize your charts, see the [Customizing your plot page](configuring-your-plots.md)
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index 0a40dc9..8fdf8e7 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -8,7 +8,7 @@ The book then shows you how to load different datasets, combine and analyze them
 
 By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
 
-![Danfo.js book cover](.gitbook/assets/B17076\_Cover.jpg)
+![Danfo.js book cover](.gitbook/assets/b17076\_cover.jpg)
 
 ## **What you will learn**
 
diff --git a/examples/using-danfojs-in-react.md b/examples/using-danfojs-in-react.md
index 682a0d7..ac720b5 100644
--- a/examples/using-danfojs-in-react.md
+++ b/examples/using-danfojs-in-react.md
@@ -57,7 +57,7 @@ export default App;
 
 On running the app, we get the following output in the console:
 
-![](<../.gitbook/assets/Screen Shot 2021-02-14 at 7.22.16 PM.png>)
+![](../.gitbook/assets/screen-shot-2021-02-14-at-7.22.16-pm.png)
 
 Note that you can also import specific modules. For instance, in the code below we import only the DataFrame module:
 

From ae61b124942c3e5926bcaf088766a7944fa8fadd Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Mon, 4 Apr 2022 11:15:50 +0100
Subject: [PATCH 180/202] Update version to latest

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 .../dataframe/danfo.dataframe.diff.md         |  8 ++--
 .../dataframe/danfo.dataframe.pctChange.md    |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 38 +++++++++----------
 release-notes.md                              |  2 +-
 19 files changed, 56 insertions(+), 56 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index be01b23..56cac29 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/danfo.dataframe.diff.md b/api-reference/dataframe/danfo.dataframe.diff.md
index 5288bad..259e6b6 100644
--- a/api-reference/dataframe/danfo.dataframe.diff.md
+++ b/api-reference/dataframe/danfo.dataframe.diff.md
@@ -45,7 +45,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -117,7 +117,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -191,7 +191,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -269,7 +269,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/danfo.dataframe.pctChange.md b/api-reference/dataframe/danfo.dataframe.pctChange.md
index 7c64103..1a39c69 100644
--- a/api-reference/dataframe/danfo.dataframe.pctChange.md
+++ b/api-reference/dataframe/danfo.dataframe.pctChange.md
@@ -41,7 +41,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -109,7 +109,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -183,7 +183,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -261,7 +261,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index dc571f5..72cac94 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 4ce0f25..4de2c13 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index d2d7c5b..ce39331 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 1a75ab3..e5d68a0 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index 5013471..cfd5535 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index a58b98b..72b28d0 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 13b2d17..ce72145 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index d84cd06..617b8cc 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 53b6868..4b98d4f 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index cf47c01..786c5d6 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 28ceff7..1faf15c 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 1b38e80..29e7c21 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index a327596..69c0b3f 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index eb13f14..fd7bc6c 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index c2870c3..f1717f2 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -39,7 +39,7 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
 <title>Document</title>
 </head>
 
@@ -291,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -369,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -460,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -568,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -653,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -733,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -806,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -876,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1293,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1382,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1600,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2213,7 +2213,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2265,7 +2265,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2360,7 +2360,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 9707cf9..da1ab0f 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -163,7 +163,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.0.5/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From d3dfad087c8f4853dcdc37a5baf96828f52d8b32 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Mon, 4 Apr 2022 10:25:30 +0000
Subject: [PATCH 181/202] GitBook: [#220] No subject

---
 .gitbook/assets/newplot (2) (1) (1).png         | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot (2) (1) (2).png         | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot (2) (1) (3).png         | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot-29- (2) (1) (1) (1).png | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (1) (1) (2).png | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (1) (1) (3).png | Bin 0 -> 50358 bytes
 .gitbook/assets/newplot-29- (2) (1) (1) (4).png | Bin 0 -> 50358 bytes
 api-reference/dataframe/dataframe.to_csv.md     |  14 +++++++++-----
 api-reference/dataframe/dataframe.to_excel.md   |  12 ++++++++----
 api-reference/dataframe/dataframe.to_json.md    |  14 +++++++++-----
 api-reference/plotting/box-plots.md             |   6 +++---
 .../plotting/configuring-your-plots.md          |   2 +-
 api-reference/plotting/tables.md                |   4 ++--
 api-reference/plotting/timeseries-plots.md      |   2 +-
 ...ta-driven-applications-with-danfo.js-book.md |   2 +-
 examples/using-danfojs-in-react.md              |   2 +-
 getting-started.md                              |  10 +++++-----
 17 files changed, 40 insertions(+), 28 deletions(-)
 create mode 100644 .gitbook/assets/newplot (2) (1) (1).png
 create mode 100644 .gitbook/assets/newplot (2) (1) (2).png
 create mode 100644 .gitbook/assets/newplot (2) (1) (3).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (1) (1).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (1) (2).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (1) (3).png
 create mode 100644 .gitbook/assets/newplot-29- (2) (1) (1) (4).png

diff --git a/.gitbook/assets/newplot (2) (1) (1).png b/.gitbook/assets/newplot (2) (1) (1).png
new file mode 100644
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diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 72cac94..53fae6c 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -4,12 +4,16 @@ description: Convert DataFrame to a comma-separated values (CSV)
 
 # DataFrame.toCSV
 
-DataFrame.toCSV(options)&#x20;
+{% hint style="danger" %}
+Deprecated in v1.1.0: Use the [`dfd.toCSV`](../input-output/danfo.to\_csv.md) function directly instead
+{% endhint %}
 
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |                                            |
-| -------------- | ---------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 | Default                                    |
-| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p></p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p></p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p><p></p> | <p>{<br><strong>sep</strong>: ","<br>}</p> |
+DataFrame.toCSV(options)
+
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |                                            |
+| -------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     | Default                                    |
+| **options**    | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>download</code></strong>: Boolean indicating whether to automatically download the CSV file in the browser. Only needed in the browser environment.</p><p><strong><code>header</code></strong>: Boolean indicating whether to include a header row in the CSV file.</p><p><strong><code>sep</code></strong>: Character to be used as a separator in the CSV file.</p> | <p>{<br><strong>sep</strong>: ","<br>}</p> |
 
 The **toCSV** function can be used to write out a DataFrame or Series to CSV file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a CSV file from Node and Browser environments.
 
diff --git a/api-reference/dataframe/dataframe.to_excel.md b/api-reference/dataframe/dataframe.to_excel.md
index 38f6abb..7157518 100644
--- a/api-reference/dataframe/dataframe.to_excel.md
+++ b/api-reference/dataframe/dataframe.to_excel.md
@@ -6,11 +6,15 @@ description: >-
 
 # DataFrame.toExcel
 
-> DataFrame.toExcel(options)&#x20;
+{% hint style="danger" %}
+Deprecated in v1.1.0: Use the [`dfd.toExcel`](../input-output/danfo.to\_excel.md) function directly instead
+{% endhint %}
 
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                              | Default                                                                                                  |
-| -------------- | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.</p><p><br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p></p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+> DataFrame.toExcel(options)
+
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                | Default                                                                                                  |
+| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| **options**    | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.</p><p><br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
 
 The **toExcel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 4de2c13..514da1a 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -4,12 +4,16 @@ description: Convert DataFrame to JSON format
 
 # DataFrame.toJSON
 
-> DataFrame.toJSON(options)&#x20;
+{% hint style="danger" %}
+Deprecated in v1.1.0: Use the [dfd.toJSON](../input-output/danfo.to\_json.md) function directly instead
+{% endhint %}
 
-|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |                                                                 |
-| -------------- | ---------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
-| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          | Default                                                         |
-| **options**    | object, optional | <p>Configuration object:</p><p></p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p><p></p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
+> DataFrame.toJSON(options)
+
+|                |                  |                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |                                                                 |
+| -------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------- |
+| **Parameters** | Type             | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            | Default                                                         |
+| **options**    | object, optional | <p>Configuration object:</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version</p><p><br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in browser environment.</p><p><br><strong><code>format</code></strong>: The format of the JSON. Can be one of <strong><code>row</code></strong> or <strong><code>column</code></strong>.</p> | <p>{<br><strong><code>format</code></strong>: "column"<br>}</p> |
 
 The **toJSON** function can be used to write out a DataFrame or Series to JSON format/file. The output is configurable and will depend on the environment. In the following examples, we show you how to write/download a JSON file from Node and Browser environments.
 
diff --git a/api-reference/plotting/box-plots.md b/api-reference/plotting/box-plots.md
index d87360b..326fed7 100644
--- a/api-reference/plotting/box-plots.md
+++ b/api-reference/plotting/box-plots.md
@@ -64,7 +64,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](../../.gitbook/assets/newplot-23-.png)
+![](<../../.gitbook/assets/newplot (23).png>)
 
 ### Box plots on a DataFrame
 
@@ -138,7 +138,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1) (1).png>)
+![](<../../.gitbook/assets/screen-shot-2020-08-11-at-1.20.42-am (1).png>)
 
 ### Box plot for selected columns in a DataFrame
 
@@ -216,7 +216,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot-24- (1).png>)
+![](<../../.gitbook/assets/newplot (24).png>)
 
 {% hint style="info" %}
 To customize your plots, see the [Configuring your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/configuring-your-plots.md b/api-reference/plotting/configuring-your-plots.md
index 679192d..2ad915e 100644
--- a/api-reference/plotting/configuring-your-plots.md
+++ b/api-reference/plotting/configuring-your-plots.md
@@ -137,6 +137,6 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](../../.gitbook/assets/newplot-32-.png)
+![](<../../.gitbook/assets/newplot (32).png>)
 
 ##
diff --git a/api-reference/plotting/tables.md b/api-reference/plotting/tables.md
index dfeaca5..2614b0b 100644
--- a/api-reference/plotting/tables.md
+++ b/api-reference/plotting/tables.md
@@ -75,7 +75,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png)
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.34.08 AM.png>)
 
 ### Configure the header and cell of a table
 
@@ -190,4 +190,4 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](../../.gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png)
+![](<../../.gitbook/assets/Screen Shot 2020-08-11 at 12.38.30 AM.png>)
diff --git a/api-reference/plotting/timeseries-plots.md b/api-reference/plotting/timeseries-plots.md
index 7cae867..cc49d74 100644
--- a/api-reference/plotting/timeseries-plots.md
+++ b/api-reference/plotting/timeseries-plots.md
@@ -109,7 +109,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot-29- (2) (2) (1).png>)
+![](<../../.gitbook/assets/newplot-29- (2) (1) (1) (3).png>)
 
 {% hint style="info" %}
 To set customize your charts, see the [Customizing your plot page](configuring-your-plots.md)
diff --git a/building-data-driven-applications-with-danfo.js-book.md b/building-data-driven-applications-with-danfo.js-book.md
index 8fdf8e7..0a40dc9 100644
--- a/building-data-driven-applications-with-danfo.js-book.md
+++ b/building-data-driven-applications-with-danfo.js-book.md
@@ -8,7 +8,7 @@ The book then shows you how to load different datasets, combine and analyze them
 
 By the end of this app development book, you'll be able to build and embed data analytics, visualization, and ML capabilities into any JavaScript app in server-side Node.js or the browser.
 
-![Danfo.js book cover](.gitbook/assets/b17076\_cover.jpg)
+![Danfo.js book cover](.gitbook/assets/B17076\_Cover.jpg)
 
 ## **What you will learn**
 
diff --git a/examples/using-danfojs-in-react.md b/examples/using-danfojs-in-react.md
index ac720b5..682a0d7 100644
--- a/examples/using-danfojs-in-react.md
+++ b/examples/using-danfojs-in-react.md
@@ -57,7 +57,7 @@ export default App;
 
 On running the app, we get the following output in the console:
 
-![](../.gitbook/assets/screen-shot-2021-02-14-at-7.22.16-pm.png)
+![](<../.gitbook/assets/Screen Shot 2021-02-14 at 7.22.16 PM.png>)
 
 Note that you can also import specific modules. For instance, in the code below we import only the DataFrame module:
 
diff --git a/getting-started.md b/getting-started.md
index f1717f2..2012df4 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2309,7 +2309,7 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const csv = df.toCSV()
+const csv = dfd.toCSV(df)
 console.log(csv);
 //output
 Abs,Count,country code
@@ -2318,10 +2318,10 @@ Abs,Count,country code
 47.3,5,GH
 
 
-df.toCSV({filePath: "testOut.csv" }) //writes to file system in Nodejs
+dfd.toCSV(df, {filePath: "testOut.csv" }) //writes to file system in Nodejs
 
 
-df.toCSV({fileName: "testOut", download: true }) //downloads the file in browser version
+dfd.toCSV(df, {fileName: "testOut", download: true }) //downloads the file in browser version
 ```
 
 ```
@@ -2402,7 +2402,7 @@ let data = {
 
 let df = new dfd.DataFrame(data)
 
-const json = df.toJSON()
+const json = dfd.toJSON(df)
 console.log(json);
 //output
 [
@@ -2412,7 +2412,7 @@ console.log(json);
 ]
 
 
-const json = df.toJSON({format: "row"})
+const json = dfd.toJSON(df, {format: "row"})
 console.log(json);
 //output
 {

From 02736f5bb80596f2075f6b112b5a8053f31fa20a Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Fri, 23 Sep 2022 08:32:52 +0000
Subject: [PATCH 182/202] GitBook: [#221] No subject

---
 api-reference/dataframe/dataframe.sort_values.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 9aedc7b..03b8981 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -6,10 +6,10 @@ description: Sort a Dataframe in ascending or descending order by a specified co
 
 danfo.DataFrame.**sortValues**(by, options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                                                                                  |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
-| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                                                                |                                                                                          |
-| options    | Object | <p>Optional configuratio<strong>n:</strong> </p><p><strong></strong></p><p><strong>ascending:</strong> Order of sorting </p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                                                                                              | Default                                                                                  |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
+| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                               |                                                                                          |
+| options    | Object | <p>Optional configuratio<strong>n:</strong></p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
 
 ## **Examples**
 
@@ -86,9 +86,9 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
+║ 0          │ 47.3              │ 6                 │ 30                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
+║ 2          │ -20               │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 1          │ 30                │ 5                 │ 3                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝

From 42917a262a3171a6a4427502de8f50c162d0f128 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Fri, 23 Sep 2022 13:38:23 +0000
Subject: [PATCH 183/202] GitBook: [#222] No subject

---
 api-reference/dataframe/dataframe.sort_values.md | 12 ++++++------
 api-reference/input-output/danfo.to_excel.md     |  8 ++++----
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 03b8981..9aedc7b 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -6,10 +6,10 @@ description: Sort a Dataframe in ascending or descending order by a specified co
 
 danfo.DataFrame.**sortValues**(by, options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                              | Default                                                                                  |
-| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
-| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                               |                                                                                          |
-| options    | Object | <p>Optional configuratio<strong>n:</strong></p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                                                                                  |
+| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
+| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                                                                |                                                                                          |
+| options    | Object | <p>Optional configuratio<strong>n:</strong> </p><p><strong></strong></p><p><strong>ascending:</strong> Order of sorting </p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
 
 ## **Examples**
 
@@ -86,9 +86,9 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 47.3              │ 6                 │ 30                ║
+║ 0          │ -20               │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ -20               │ 34                │ 20                ║
+║ 2          │ 47.3              │ 6                 │ 30                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 1          │ 30                │ 5                 │ 3                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index 511381a..1192a55 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -6,7 +6,7 @@ description: >-
 
 # danfo.toExcel
 
-> danfo.**toExcel**(data, options)&#x20;
+> danfo.**toExcel**(data, options)
 
 | **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                                                                  |
 | -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
@@ -17,7 +17,7 @@ The **toExcel** function can be used to write out a DataFrame or Series to Excel
 
 ### Convert DataFrame to Excel and write to file path
 
-Writing an Excel file to a local file path is only supported in the Nodejs environment
+You can write a DataFrame or Series in Excel format using the toExcel function and specifying the file path.&#x20;
 
 {% tabs %}
 {% tab title="Node.js" %}
@@ -39,7 +39,7 @@ dfd.toExcel(df, { filePath: "testOut.xlsx"});
 
 ### Convert DataFrame to Excel and download the file in Client-side lib
 
-You can automatically convert and download an Excel file in a browser environment, by specifying a filename and setting download to `true`
+You can automatically convert and download an Excel file in a browser environment, by specifying a filename. This will open a download window.&#x20;
 
 ```javascript
 let data = {
@@ -50,5 +50,5 @@ let data = {
 
 let df = new DataFrame(data);
 
-dfd.toExcel(df, { fileName: "testOut.xlsx", download: true});
+dfd.toExcel(df, { fileName: "testOut.xlsx"});
 ```

From fcf2544f51882d5ffa4aa7fc269b2a29a66225ce Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 25 Sep 2022 09:48:35 +0000
Subject: [PATCH 184/202] GitBook: [#223] No subject

---
 api-reference/general-functions/danfo.dt.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/api-reference/general-functions/danfo.dt.md b/api-reference/general-functions/danfo.dt.md
index 766aacc..1e5b59b 100644
--- a/api-reference/general-functions/danfo.dt.md
+++ b/api-reference/general-functions/danfo.dt.md
@@ -4,12 +4,12 @@ description: Accessor object for date time properties of the Series values.
 
 # danfo.Dt
 
-For example, in the following example, we convert a Series to an `Dt` instance and apply a couple of **DateTime** methods.&#x20;
+For example, in the following example, we convert a Series to an `Dt` instance and apply a couple of **DateTime** methods.
 
 {% tabs %}
 {% tab title="Node" %}
 ```javascript
-import { Dt, Series } from "danfojs-node-nightly"
+import { Dt, Series } from "danfojs-node"
 
 const sf = new Series(["1/1/2000", "1/2/2000", "2/3/2000", "1/4/2000", "4/5/2000"])
 const dtS = new Dt(sf)
@@ -45,5 +45,4 @@ dtS.monthName().print()
 ╟───┼──────────╢
 ║ 4 │ April    ║
 ╚═══╧══════════╝
-
 ```

From 245fa25f261d9f968a265233acbd5da353396c48 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 25 Sep 2022 11:23:44 +0000
Subject: [PATCH 185/202] GitBook: [#224] No subject

---
 examples/migrating-to-the-stable-version-of-danfo.js.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/examples/migrating-to-the-stable-version-of-danfo.js.md b/examples/migrating-to-the-stable-version-of-danfo.js.md
index c186782..9f3869f 100644
--- a/examples/migrating-to-the-stable-version-of-danfo.js.md
+++ b/examples/migrating-to-the-stable-version-of-danfo.js.md
@@ -13,7 +13,7 @@ The following list summarizes some of these updates:
 * **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increase the developer experience.
 * **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.
 * Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.
-* **New features**: We added lots of new features which users have been requesting for. For example:
+* **New features**: We added a couple of new features which users have been requesting for. For example:
   * Stream and process large CSV data
 * General bug fixes and improvements
 * Better error messages
@@ -28,11 +28,11 @@ Update your function and/or method names to use camelCase instead of snake\_case
 
 ```javascript
 read_csv ==> readCSV
-to_json ==> toCSV
+to_json ==> toJSON
 drop_duplicates ==> dropDuplicates
 ```
 
-**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
+**Note:** that your code editor will generally suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
 
 ### Functions and Methods argument structure
 
@@ -40,7 +40,7 @@ Another major breaking change of v1, is that the structure of arguments/paramete
 
 In general, it is important to understand our thought process behind this, so, here goes:
 
-Assuming we take the method called _**rename**_, which takes required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
+Assuming we take the method called _**rename**_, which takes the required argument **mapper**, as well as, an optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
 
 ```
 rename( { mapper, axis, inplace } ) => DataFrame

From e5c5f686cafcbadaae8613486f49d64f940786e5 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Sun, 25 Sep 2022 11:27:43 +0000
Subject: [PATCH 186/202] GitBook: [#225] No subject

---
 .../danfo.streamcsvtransformer.md              | 18 ++++++++----------
 ...rating-to-the-stable-version-of-danfo.js.md |  8 ++++----
 2 files changed, 12 insertions(+), 14 deletions(-)

diff --git a/api-reference/general-functions/danfo.streamcsvtransformer.md b/api-reference/general-functions/danfo.streamcsvtransformer.md
index 922dd43..30363fc 100644
--- a/api-reference/general-functions/danfo.streamcsvtransformer.md
+++ b/api-reference/general-functions/danfo.streamcsvtransformer.md
@@ -7,31 +7,29 @@ description: >-
 
 # danfo.streamCsvTransformer
 
-danfo.**streamCsvTransformer**(func)&#x20;
+danfo.**streamCsvTransformer**(func)
 
 | Parameters    | Type     | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             |
 | ------------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
 | inputFilePath | Function | The path to the CSV file to stream from.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
-| transformer   | Function | <p>The transformer function to apply to each row. </p><p>Note that each row of the CSV file is passed as a DataFrame with a single row to the transformer function, and the transformer function is expected to return a transformed DataFrame.</p>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+| transformer   | Function | <p>The transformer function to apply to each row.</p><p>Note that each row of the CSV file is passed as a DataFrame with a single row to the transformer function, and the transformer function is expected to return a transformed DataFrame.</p>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
 | options       | object   | <p>Configuration options for the pipeline. These include:</p><ul><li><code>outputFilePath</code> The local file path to write the transformed CSV file to.</li><li><code>customCSVStreamWriter</code> A custom CSV stream writer function. This is applied at the end of each transform. If not provided, a default CSV stream writer is used, and this writes to local storage.</li></ul><ul><li><code>inputStreamOptions</code> Configuration options for the input stream. Supports all Papaparse CSV reader config options.</li><li><code>outputStreamOptions</code> Configuration options for the output stream. This is only applied when using the default CSV stream writer. Supports all <code>toCSV</code> options.</li></ul> |
 
 **Returns:**
 
-> return A promise that resolves when the pipeline transformation is complete.
+> A promise that resolves when the pipeline transformation is complete.
 
 The streamCsvTransformer can be used to [incrementally transform](https://en.wikipedia.org/wiki/Stream\_processing) a CSV file. This is done by:
 
 * Streaming a CSV file from a local or **remote** path.
 * Passing each corresponding row as a DataFrame to the specified transformer function.
-* Writing the result to an output stream. &#x20;
-
-
+* Writing the result to an output stream.
 
 ## **Stream processing a local file**
 
-In the example below, we stream a local CSV file (titanic.csv), applies a transformer function, and write the output to the `titanicOutLocal` file.
+In the example below, we stream a local CSV file (titanic.csv), apply a transformer function, and write the output to **`titanicOutLocal.csv`**.
 
-The transformer takes each `Name` column, splits the person's title, and creates a new column from it.&#x20;
+The transformer takes each `Name` column, splits the person's title, and creates a new column from it.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -86,7 +84,7 @@ PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked,
 
 In the example below, we stream a remote CSV file (titanic.csv), applies a transformer function, and write the output to the `titanicOutLocal` file.
 
-The transformer takes each `Name` column, splits the person's title, and creates a new column from it.&#x20;
+The transformer takes each `Name` column, splits the person's title, and creates a new column from it.
 
 {% tabs %}
 {% tab title="Node" %}
@@ -121,7 +119,7 @@ dfd.streamCsvTransformer(inputFilePath, transformer, {
 
 If you need custom control of the output writer, then you can provide a pipe-able custom writer. See [https://www.freecodecamp.org/news/node-js-streams-everything-you-need-to-know-c9141306be93/](https://www.freecodecamp.org/news/node-js-streams-everything-you-need-to-know-c9141306be93/)
 
-In the example below, we add a custom writer that logs each row. You can extend this to upload each chunk to a database, or any other function you need.&#x20;
+In the example below, we add a custom writer that logs each row. You can extend this to upload each chunk to a database, or any other function you need.
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/examples/migrating-to-the-stable-version-of-danfo.js.md b/examples/migrating-to-the-stable-version-of-danfo.js.md
index 9f3869f..c186782 100644
--- a/examples/migrating-to-the-stable-version-of-danfo.js.md
+++ b/examples/migrating-to-the-stable-version-of-danfo.js.md
@@ -13,7 +13,7 @@ The following list summarizes some of these updates:
 * **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increase the developer experience.
 * **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.
 * Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.
-* **New features**: We added a couple of new features which users have been requesting for. For example:
+* **New features**: We added lots of new features which users have been requesting for. For example:
   * Stream and process large CSV data
 * General bug fixes and improvements
 * Better error messages
@@ -28,11 +28,11 @@ Update your function and/or method names to use camelCase instead of snake\_case
 
 ```javascript
 read_csv ==> readCSV
-to_json ==> toJSON
+to_json ==> toCSV
 drop_duplicates ==> dropDuplicates
 ```
 
-**Note:** that your code editor will generally suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
+**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
 
 ### Functions and Methods argument structure
 
@@ -40,7 +40,7 @@ Another major breaking change of v1, is that the structure of arguments/paramete
 
 In general, it is important to understand our thought process behind this, so, here goes:
 
-Assuming we take the method called _**rename**_, which takes the required argument **mapper**, as well as, an optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
+Assuming we take the method called _**rename**_, which takes required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
 
 ```
 rename( { mapper, axis, inplace } ) => DataFrame

From 14a89eea3b7ede17bfb28f2f8e3f32836320d49c Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Oct 2022 16:29:41 +0100
Subject: [PATCH 187/202] update version number

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 .../dataframe/danfo.dataframe.diff.md         |  8 ++--
 .../dataframe/danfo.dataframe.pctChange.md    |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 38 +++++++++----------
 release-notes.md                              |  2 +-
 19 files changed, 56 insertions(+), 56 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index 56cac29..a325b56 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/danfo.dataframe.diff.md b/api-reference/dataframe/danfo.dataframe.diff.md
index 259e6b6..d623940 100644
--- a/api-reference/dataframe/danfo.dataframe.diff.md
+++ b/api-reference/dataframe/danfo.dataframe.diff.md
@@ -45,7 +45,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -117,7 +117,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -191,7 +191,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -269,7 +269,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/danfo.dataframe.pctChange.md b/api-reference/dataframe/danfo.dataframe.pctChange.md
index 1a39c69..99248a0 100644
--- a/api-reference/dataframe/danfo.dataframe.pctChange.md
+++ b/api-reference/dataframe/danfo.dataframe.pctChange.md
@@ -41,7 +41,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -109,7 +109,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -183,7 +183,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -261,7 +261,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 72cac94..15e1236 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -49,7 +49,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 4de2c13..f467a79 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -62,7 +62,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index ce39331..54812bb 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index e5d68a0..ece901a 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -77,7 +77,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index cfd5535..ad28bcc 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index 72b28d0..cc9871f 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index ce72145..911c1bb 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index 617b8cc..e3b3546 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 4b98d4f..62751e4 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -135,7 +135,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index f883122..45ba114 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 1faf15c..b51e0c5 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -87,7 +87,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -132,7 +132,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 29e7c21..67e85ba 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 69c0b3f..0827ca3 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -114,7 +114,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index fd7bc6c..f1f4740 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index f1717f2..0121553 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -39,7 +39,7 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
 <title>Document</title>
 </head>
 
@@ -291,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -369,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -460,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -568,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -653,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -733,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -806,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -876,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1293,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1382,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1600,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2213,7 +2213,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2265,7 +2265,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2360,7 +2360,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index da1ab0f..fa893d1 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -163,7 +163,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.0/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From f30c2510e363f3d997581debc335d1c573aa0dbd Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Oct 2022 15:38:19 +0000
Subject: [PATCH 188/202] GitBook: [#226] No subject

---
 .gitbook/assets/419nr0t2zml.jpeg              | Bin 27488 -> 0 bytes
 .gitbook/assets/b17076_cover.jpg              | Bin 788502 -> 0 bytes
 .gitbook/assets/image (4).png                 | Bin 20104 -> 0 bytes
 .gitbook/assets/newplot (2) (2) (1).png       | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot-1-.png                | Bin 25882 -> 0 bytes
 .gitbook/assets/newplot-11-.png               | Bin 25611 -> 0 bytes
 .gitbook/assets/newplot-13-.png               | Bin 39004 -> 0 bytes
 .gitbook/assets/newplot-14-.png               | Bin 12931 -> 0 bytes
 .gitbook/assets/newplot-15-.png               | Bin 10876 -> 0 bytes
 .gitbook/assets/newplot-2- (1) (1) (1).png    | Bin 0 -> 30776 bytes
 .gitbook/assets/newplot-23-.png               | Bin 13536 -> 0 bytes
 .gitbook/assets/newplot-32-.png               | Bin 67128 -> 0 bytes
 .gitbook/assets/newplot-5-.png                | Bin 26223 -> 0 bytes
 .gitbook/assets/newplot-9-.png                | Bin 18874 -> 0 bytes
 .../screen-shot-2020-08-11-at-12.34.08-am.png | Bin 122541 -> 0 bytes
 .../screen-shot-2020-08-11-at-12.38.30-am.png | Bin 153263 -> 0 bytes
 .../screen-shot-2021-02-14-at-7.22.16-pm.png  | Bin 45524 -> 0 bytes
 .../dataframe/dataframe.sort_values.md        |  12 +++++-----
 api-reference/plotting/bar-charts.md          |   4 ++--
 api-reference/plotting/histograms.md          |   5 ++--
 api-reference/plotting/line-charts.md         |   6 ++---
 api-reference/plotting/pie-charts.md          |   9 ++++---
 api-reference/plotting/scatter-plots.md       |   4 ++--
 api-reference/plotting/violin-plots.md        |   9 +++----
 ...ating-to-the-stable-version-of-danfo.js.md |   8 +++----
 getting-started.md                            |   2 +-
 release-notes.md                              |  22 ++++++++++++++++--
 27 files changed, 47 insertions(+), 34 deletions(-)
 delete mode 100644 .gitbook/assets/419nr0t2zml.jpeg
 delete mode 100644 .gitbook/assets/b17076_cover.jpg
 delete mode 100644 .gitbook/assets/image (4).png
 create mode 100644 .gitbook/assets/newplot (2) (2) (1).png
 delete mode 100644 .gitbook/assets/newplot-1-.png
 delete mode 100644 .gitbook/assets/newplot-11-.png
 delete mode 100644 .gitbook/assets/newplot-13-.png
 delete mode 100644 .gitbook/assets/newplot-14-.png
 delete mode 100644 .gitbook/assets/newplot-15-.png
 create mode 100644 .gitbook/assets/newplot-2- (1) (1) (1).png
 delete mode 100644 .gitbook/assets/newplot-23-.png
 delete mode 100644 .gitbook/assets/newplot-32-.png
 delete mode 100644 .gitbook/assets/newplot-5-.png
 delete mode 100644 .gitbook/assets/newplot-9-.png
 delete mode 100644 .gitbook/assets/screen-shot-2020-08-11-at-12.34.08-am.png
 delete mode 100644 .gitbook/assets/screen-shot-2020-08-11-at-12.38.30-am.png
 delete mode 100644 .gitbook/assets/screen-shot-2021-02-14-at-7.22.16-pm.png

diff --git a/.gitbook/assets/419nr0t2zml.jpeg b/.gitbook/assets/419nr0t2zml.jpeg
deleted file mode 100644
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diff --git a/api-reference/dataframe/dataframe.sort_values.md b/api-reference/dataframe/dataframe.sort_values.md
index 9aedc7b..03b8981 100644
--- a/api-reference/dataframe/dataframe.sort_values.md
+++ b/api-reference/dataframe/dataframe.sort_values.md
@@ -6,10 +6,10 @@ description: Sort a Dataframe in ascending or descending order by a specified co
 
 danfo.DataFrame.**sortValues**(by, options) \[[source](https://github.com/opensource9ja/danfojs/blob/cf5c7ae3a009458e61eedd18d9c9b5b6b10d5276/danfojs/src/core/frame.js#L125)]
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                               | Default                                                                                  |
-| ---------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------- |
-| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                                                                |                                                                                          |
-| options    | Object | <p>Optional configuratio<strong>n:</strong> </p><p><strong></strong></p><p><strong>ascending:</strong> Order of sorting </p><p></p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                                                                                              | Default                                                                                  |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- |
+| **by**     | Object | This key can be either a single column name or a single array of the same length as the calling DataFrame.                                                                                                               |                                                                                          |
+| options    | Object | <p>Optional configuratio<strong>n:</strong></p><p><strong>ascending:</strong> Order of sorting</p><p><strong>inplace</strong>: Boolean indicating whether to perform the operation inplace or not. Defaults to false</p> | <p>{</p><p><strong>ascending</strong>: true, <strong>inplace</strong>: false</p><p>}</p> |
 
 ## **Examples**
 
@@ -86,9 +86,9 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ -20               │ 34                │ 20                ║
+║ 0          │ 47.3              │ 6                 │ 30                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 47.3              │ 6                 │ 30                ║
+║ 2          │ -20               │ 34                │ 20                ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────╢
 ║ 1          │ 30                │ 5                 │ 3                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index e3b3546..7934ba3 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -35,7 +35,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (6).png>)
+![](../../.gitbook/assets/newplot-6-.png)
 
 ### Bar plot on DataFrame
 
@@ -64,7 +64,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (7).png>)
+![](../../.gitbook/assets/newplot-7-.png)
 
 {% hint style="info" %}
 To customize plots, see the [Customizing your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index 62751e4..e19c892 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -42,7 +42,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endtab %}
 
@@ -80,7 +79,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (10).png>)
+![](../../.gitbook/assets/newplot-10-.png)
 
 ### Customized Histogram plots on DataFrame
 
@@ -169,7 +168,7 @@ a
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (20).png>)
+![](../../.gitbook/assets/newplot-20-.png)
 
 {% hint style="info" %}
 For more configuration options for Histograms, see the [Plotly](https://plotly.com/javascript/histograms/) doc.
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 45ba114..9a4469a 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -35,7 +35,7 @@ description: >-
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (4).png>)
+![](../../.gitbook/assets/newplot-4-.png)
 
 ### Line plots on DataFrame
 
@@ -67,7 +67,7 @@ The example below shows the plot of column values against a common x-axis (index
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (2) (2).png>)
+![](<../../.gitbook/assets/newplot (2) (2) (1).png>)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
@@ -105,7 +105,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (3).png>)
+![](../../.gitbook/assets/newplot-3-.png)
 
 {% hint style="info" %}
 To customize your plots, see the [Customize your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index b51e0c5..89c6a1c 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -39,7 +39,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endtab %}
 
@@ -75,7 +74,7 @@ e
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (12).png>)
+![](../../.gitbook/assets/newplot-12-.png)
 
 ### Multiple Pie Chart from Columns in a DataFrame
 
@@ -117,13 +116,13 @@ e
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (21).png>)
+![](../../.gitbook/assets/newplot-21-.png)
 
 ### Configure Position of Pie Charts
 
 If you have more than one pie chart to display, you can set the grid parameter, and also the position of each pie.
 
-&#x20;For example, in the snippet below, we set the `grid` to 2 by 2 and also pass a set of row and column index positions. Each row/column position index corresponds to each pie.
+For example, in the snippet below, we set the `grid` to 2 by 2 and also pass a set of row and column index positions. Each row/column position index corresponds to each pie.
 
 ```markup
 <!DOCTYPE html>
@@ -163,7 +162,7 @@ If you have more than one pie chart to display, you can set the grid parameter,
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (22).png>)
+![](../../.gitbook/assets/newplot-22-.png)
 
 {% hint style="info" %}
 For more configuration options for Pie Charts, see the [Plotly](https://plotly.com/javascript/pie-charts/) style doc.
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 67e85ba..61f6815 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -45,7 +45,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot-8- (1) (1).png>)
+![](<../../.gitbook/assets/newplot-8- (1).png>)
 
 ### More Examples
 
@@ -85,7 +85,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (19).png>)
+![](../../.gitbook/assets/newplot-19-.png)
 
 {% hint style="info" %}
 To customize your plots, see the [Customize your plot page](configuring-your-plots.md)
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 0827ca3..73ba658 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -64,7 +64,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (25).png>)
+![](../../.gitbook/assets/newplot-25-.png)
 
 ### Box plots on a DataFrame
 
@@ -101,7 +101,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -141,7 +140,7 @@ export default App;
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (26).png>)
+![](../../.gitbook/assets/newplot-26-.png)
 
 ### Box plot for selected columns in a DataFrame
 
@@ -177,7 +176,6 @@ function App() {
 }
 
 export default App;
-
 ```
 {% endcode %}
 {% endtab %}
@@ -211,12 +209,11 @@ export default App;
     </script>
   </body>
 </html>
-
 ```
 {% endtab %}
 {% endtabs %}
 
-![](<../../.gitbook/assets/newplot (27).png>)
+![](../../.gitbook/assets/newplot-27-.png)
 
 {% hint style="info" %}
 To customize your plots, see the [Configuring your plot page](configuring-your-plots.md)
diff --git a/examples/migrating-to-the-stable-version-of-danfo.js.md b/examples/migrating-to-the-stable-version-of-danfo.js.md
index c186782..9f3869f 100644
--- a/examples/migrating-to-the-stable-version-of-danfo.js.md
+++ b/examples/migrating-to-the-stable-version-of-danfo.js.md
@@ -13,7 +13,7 @@ The following list summarizes some of these updates:
 * **Typescript support:** This new version has been completely re-written using Typescript. This means we now have well-defined types that increase the developer experience.
 * **Standard naming convention:** Functions, methods, classes, and variable names have been standardized to follow JavaScript best practices.
 * Standardize function argument: Functions and methods have been updated to accept arguments and parameters intuitively resulting in improved developer experience.
-* **New features**: We added lots of new features which users have been requesting for. For example:
+* **New features**: We added a couple of new features which users have been requesting for. For example:
   * Stream and process large CSV data
 * General bug fixes and improvements
 * Better error messages
@@ -28,11 +28,11 @@ Update your function and/or method names to use camelCase instead of snake\_case
 
 ```javascript
 read_csv ==> readCSV
-to_json ==> toCSV
+to_json ==> toJSON
 drop_duplicates ==> dropDuplicates
 ```
 
-**Note:** that your code editor auto-complete will general suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
+**Note:** that your code editor will generally suggest the new function or method names, so it will be easier to update to the new names. If using Typescript, then it is even easier as the TS compiler will show you warnings.
 
 ### Functions and Methods argument structure
 
@@ -40,7 +40,7 @@ Another major breaking change of v1, is that the structure of arguments/paramete
 
 In general, it is important to understand our thought process behind this, so, here goes:
 
-Assuming we take the method called _**rename**_, which takes required object mapper, as well as, optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
+Assuming we take the method called _**rename**_, which takes the required argument **mapper**, as well as, an optional configuration argument. In pre-v1 version of Danfojs, the function signature is as follows:
 
 ```
 rename( { mapper, axis, inplace } ) => DataFrame
diff --git a/getting-started.md b/getting-started.md
index e6d019f..99afb7d 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2284,7 +2284,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 </html>
 ```
 
-![](<.gitbook/assets/newplot-2- (1) (1).png>)
+![](<.gitbook/assets/newplot-2- (1) (1) (1).png>)
 
 ### Getting data in/out
 
diff --git a/release-notes.md b/release-notes.md
index fa893d1..16a0cd7 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,24 @@
 # Release Notes
 
-### \[LATEST] Release Node (v1.0.3), Browser (v1.0.3)
+### \[LATEST] Release Node (v1.1.2), Browser (v1.1.2)
+
+**Date:** 12th October 2022
+
+#### What's Changed
+
+* Fix copy/paste error in df.apply documentation by @kgeis in https://github.com/javascriptdata/danfojs/pull/469
+* Makes an ESM bundle using esbuild by @dcrescim in https://github.com/javascriptdata/danfojs/pull/447
+* Fix invalid assert.throws statements by @igonro in https://github.com/javascriptdata/danfojs/pull/419
+* Allow Series.append() to use zero, fixes #486 by @BowTiedAztec in https://github.com/javascriptdata/danfojs/pull/487
+* Add error handler for io functions by @risenW in https://github.com/javascriptdata/danfojs/pull/503
+* add support for excel parsing options arg by @risenW in https://github.com/javascriptdata/danfojs/pull/505
+* Chore/add default support for datetime by @risenW in https://github.com/javascriptdata/danfojs/pull/511
+
+#### Contributors: @risenW @BowTiedAztec @kgeis
+
+**Full Changelog**: https://github.com/javascriptdata/danfojs/compare/v1.1.1...v1.1.2
+
+### Release Node (v1.0.3), Browser (v1.0.3)
 
 **Date:** 8th March 2022
 
@@ -13,7 +31,7 @@
 * fix(test): Explicit type in test allows TS to compile by @NeonSpork in https://github.com/javascriptdata/danfojs/pull/411
 * Jan kaul esmodule by @risenW in https://github.com/javascriptdata/danfojs/pull/415
 
-#### Contributors: @risenW @steveoni @adamgilman @igonro @NeonSpork&#x20;
+#### Contributors: @risenW @steveoni @adamgilman @igonro @NeonSpork
 
 **Full Changelog**: https://github.com/javascriptdata/danfojs/compare/v1.0.2...v1.0.3
 

From 1a56d9b9a164708579ef953511807fad19aa7619 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@gmail.com>
Date: Wed, 12 Oct 2022 15:42:41 +0000
Subject: [PATCH 189/202] GitBook: [#227] No subject

---
 api-reference/input-output/danfo.read_excel.md | 10 ++++------
 api-reference/input-output/danfo.to_excel.md   |  8 ++++----
 api-reference/plotting/line-charts.md          |  2 +-
 getting-started.md                             |  4 ++--
 4 files changed, 11 insertions(+), 13 deletions(-)

diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index ece901a..65fd184 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -6,10 +6,10 @@ description: Reads a JSON file from local or remote location into a DataFrame.
 
 > danfo.**readExcel**(source, options)
 
-| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                     |
-| ---------- | ------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| source     | string | **source** : string, URL or local file path to Excel file.                                                                                                                                                                                                                                                                                                                                      |
-| options    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers.</p><p>}</p> |
+| Parameters | Type   | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
+| ---------- | ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| source     | string | **source** : string, URL or local file path to Excel file.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
+| options    | Object | <p>{</p><p><strong>sheet</strong> : string, (Optional) Name of the sheet which u want to parse. Default will be the first sheet.<br><strong>method</strong>: The HTTP method to use.</p><p><strong>headers</strong>: Additional headers to send with the request if reading JSON from remote url. Supports all the node-fetch options in Nodejs, and all fetch options in browsers.</p><p><strong>frameConfig</strong>: Optional arguments passed when creating the DataFrame. e.g column names, index. etc.</p><p><strong>parsingOptions</strong>: supports all xlsx options. See <a href="https://docs.sheetjs.com/docs/api/parse-options">https://docs.sheetjs.com/docs/api/parse-options</a></p><p>}</p> |
 
 ### Example
 
@@ -62,8 +62,6 @@ load_process_data()
 {% endtab %}
 {% endtabs %}
 
-
-
 ### **Reading an input file object in the browser**
 
 By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web/API/File), you can load Excel files in the browser in DataFrames/Series
diff --git a/api-reference/input-output/danfo.to_excel.md b/api-reference/input-output/danfo.to_excel.md
index 1192a55..146f70c 100644
--- a/api-reference/input-output/danfo.to_excel.md
+++ b/api-reference/input-output/danfo.to_excel.md
@@ -8,10 +8,10 @@ description: >-
 
 > danfo.**toExcel**(data, options)
 
-| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                  | Default                                                                                                  |
-| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
-| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                      |                                                                                                          |
-| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.<br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
+| **Parameters** | Type                | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            | Default                                                                                                  |
+| -------------- | ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------- |
+| _**data**_     | Series or DataFrame | The Series or DataFrame to write to CSV                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |                                                                                                          |
+| **options**    | object, optional    | <p>Configuration object:</p><p>{</p><p><strong><code>filePath</code></strong>: Local file path to write the CSV file to. If not specified, the CSV will be returned as a string. Only needed in Nodejs version<br><strong><code>fileName</code></strong>: The name of the file to download as. Only needed in the browser environment.<br><strong><code>sheetName</code></strong>: Name to call the excel sheet.</p><p><strong>writingOptions</strong>: Supports all xlsx write options. See <a href="https://docs.sheetjs.com/docs/api/write-options">https://docs.sheetjs.com/docs/api/write-options</a></p><p>}</p> | <p>{<br><strong>filePath</strong>: "./output.xlsx",<br><strong>sheetName</strong>: "Sheet1"<br><br>}</p> |
 
 The **toExcel** function can be used to write out a DataFrame or Series to Excel (**.xlsx**) file. The output format will depend on the environment. In the following examples, we show you how to write/download an Excel file from Node and Browser environments.
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index 9a4469a..f37e09a 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -67,7 +67,7 @@ The example below shows the plot of column values against a common x-axis (index
 </html>
 ```
 
-![](<../../.gitbook/assets/newplot (2) (2) (1).png>)
+![](<../../.gitbook/assets/newplot (2) (2).png>)
 
 The example below shows how to plot two columns in a DataFrame against each other.
 
diff --git a/getting-started.md b/getting-started.md
index 99afb7d..0aabc1a 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2253,7 +2253,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 </html>
 ```
 
-![](<.gitbook/assets/newplot-29- (2).png>)
+![](<.gitbook/assets/newplot-29- (2) (1).png>)
 
 On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.html#pandas.DataFrame.plot)method exposes various [plot types](api-reference/plotting/). And by default, all columns are plotted unless specified otherwise.
 
@@ -2284,7 +2284,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
 </html>
 ```
 
-![](<.gitbook/assets/newplot-2- (1) (1) (1).png>)
+![](<.gitbook/assets/newplot-2- (1) (1).png>)
 
 ### Getting data in/out
 

From 1224b1bca7f9acd60ebe391f0b07b9933d4b1ec9 Mon Sep 17 00:00:00 2001
From: Ian Zhang <1217021+ian-zy@users.noreply.github.com>
Date: Tue, 8 Nov 2022 10:31:29 +0000
Subject: [PATCH 190/202] fix example output of addColumn

---
 getting-started.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/getting-started.md b/getting-started.md
index 0aabc1a..90c21c9 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -1341,13 +1341,13 @@ df.print()
 ╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
 ║            │ A                 │ B                 │ C                 │ D                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ 1                 │ 2                 │ 3                 │ 25                ║
+║ 0          │ 30                │ 34                │ 20                │ 1                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ 4                 │ 5                 │ 6                 │ 35                ║
+║ 1          │ 1                 │ 4                 │ 20                │ 2                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ 20                │ 30                │ 40                │ 45                ║
+║ 2          │ 2                 │ 5                 │ 30                │ 3                 ║
 ╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ 39                │ 89                │ 78                │ 55                ║
+║ 3          │ 3                 │ 6                 │ 40                │ 4                 ║
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 

From 5fdb08266746c4ac11fc7ee796470300c85a5e13 Mon Sep 17 00:00:00 2001
From: colored <10601293+colord@users.noreply.github.com>
Date: Thu, 26 Jan 2023 00:34:45 -0800
Subject: [PATCH 191/202] Fix Reading from a CSV File

Rename read_csv to new naming: readCSV
---
 getting-started.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/getting-started.md b/getting-started.md
index 0aabc1a..9daf3a8 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2368,7 +2368,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+         dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
             .then(df => {
 
                 //do something like display descriptive statistics

From 418c66b5eaeaf6e69ba57414fca8d6649af190cc Mon Sep 17 00:00:00 2001
From: Damian Montero <thedamian@users.noreply.github.com>
Date: Tue, 11 Apr 2023 19:41:55 -0400
Subject: [PATCH 192/202] Correcting a typo and javascript issue

---
 ...ic-survival-prediction-using-danfo.js-and-tensorflow.js.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index a109541..bc68750 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -53,7 +53,7 @@ Below your import add the following lines of code:
 ```javascript
 async function load_process_data() {
 
-    let df = await dfd.redCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
+    let df = await dfd.readCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
 
 
@@ -145,7 +145,7 @@ let encoder = new dfd.LabelEncoder()
 let cols = ["Sex", "Name"]
 cols.forEach(col => {
   encoder.fit(df[col])
-  enc_val = encoder.transform(df[col])
+  const enc_val = encoder.transform(df[col])
   df.addColumn( col, enc_val, { inplace: true })
 })
 

From 081ae54636ed7ae1596fbe8139f5be9fd6321f0f Mon Sep 17 00:00:00 2001
From: Damian Montero <thedamian@users.noreply.github.com>
Date: Tue, 11 Apr 2023 19:43:21 -0400
Subject: [PATCH 193/202] correction of typo

---
 ...anic-survival-prediction-using-danfo.js-and-tensorflow.js.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index bc68750..6409688 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -225,7 +225,7 @@ async function load_process_data() {
     let cols = ["Sex", "Name"]
     cols.forEach(col => {
         encoder.fit(df[col])
-        enc_val = encoder.transform(df[col])
+        const enc_val = encoder.transform(df[col])
         df.addColumn( col, enc_val, { inplace: true })
     })
 

From 477040df86cf7f933f6252682e0442ec95acd3b2 Mon Sep 17 00:00:00 2001
From: "andrew.wong" <sywong.andrew@gmail.com>
Date: Thu, 4 May 2023 15:18:52 +0100
Subject: [PATCH 194/202] convert *_csv to *CSV, *_json to *JSON

---
 api-reference/dataframe/dataframe.to_csv.md            |  2 +-
 api-reference/dataframe/dataframe.to_json.md           |  2 +-
 api-reference/input-output/README.md                   | 10 +++++-----
 api-reference/plotting/violin-plots.md                 |  2 +-
 ...ival-prediction-using-danfo.js-and-tensorflow.js.md |  2 +-
 getting-started.md                                     |  2 +-
 6 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index 9791120..b4429c0 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -69,7 +69,7 @@ Abs,Count,country code
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toCSV({ download: false });
         console.log(csv);
     </script>
 </body>
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 2f1a3f5..320170e 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -82,7 +82,7 @@ console.log(jsonObjRow);
         
         let df = new dfd.DataFrame(data);
         
-        const csv = df.to_csv({ download: false });
+        const csv = df.toCSV({ download: false });
         console.log(csv);
     </script>
 </body>
diff --git a/api-reference/input-output/README.md b/api-reference/input-output/README.md
index e86d5de..310be54 100644
--- a/api-reference/input-output/README.md
+++ b/api-reference/input-output/README.md
@@ -8,11 +8,11 @@ description: Functions for reading tabular/structured data into DataFrame/Series
 
 | \`\`                                |                                                          |
 | ----------------------------------- | -------------------------------------------------------- |
-| [`read_csv`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
+| [`readCSV`](danfo.read_csv.md)     | Read a comma-separated values (csv) file into DataFrame. |
 | [`read_excel`](danfo.read_excel.md) | Read an Excel values (xlsx) file into DataFrame.         |
-| [`read_json`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
-| [to_csv](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
+| [`readJSON`](danfo.read_json.md)   | Read a JSON values (json) file into DataFrame.           |
+| [toCSV](danfo.to_csv.md)           | Writes a DataFrame/Series to CSV file                    |
 | [to_excel](danfo.to_excel.md)       | Writes a DataFrame/Series to Excel file                  |
-| [to_json](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
+| [toJSON](danfo.to_json.md)         | Writes a DataFrame/Series to JSON file                   |
 
-Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.to_csv()`](../dataframe/dataframe.to_csv.md))
+Writing to `CSV` and `JSON` can also be done directly from DataFrame or Series objects (e.g. [`DataFrame.toCSV()`](../dataframe/dataframe.to_csv.md))
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 73ba658..0ccb71b 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -122,7 +122,7 @@ export default App;
     <div id="plot_div"></div>
     <script>
 
-          dfd.read_csv("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
+          dfd.readCSV("https://raw.githubusercontent.com/pandas-dev/pandas/master/doc/data/titanic.csv")
             .then(df => {
 
                 sub_df = df.loc({ columns: ["Age", "Fare"] })
diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index a109541..24eb1b8 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -77,7 +77,7 @@ async function load_process_data() {
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-You wrote an async function because loading a dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the read\_csv function.
+You wrote an async function because loading a dataset over the internet takes a few seconds depending on your network. Inside the async function, you pass in the url of the titanic dataset to the readCSV function.
 
 Next you'll perform some basic data preprocessing. The [ctypes](../api-reference/dataframe/dataframe.dtypes.md) attribute returns the column data types:
 
diff --git a/getting-started.md b/getting-started.md
index 0aabc1a..9daf3a8 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2368,7 +2368,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 
     <script>
 
-         dfd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
+         dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv")
             .then(df => {
 
                 //do something like display descriptive statistics

From 0a4dd1ca3bc252b47e0dd37cbb0542da882901a7 Mon Sep 17 00:00:00 2001
From: "andrew.wong" <sywong.andrew@gmail.com>
Date: Thu, 4 May 2023 15:29:56 +0100
Subject: [PATCH 195/202] change group.cum<lower_case> to group.cum<camelCase>

---
 SUMMARY.md                                    |  8 ++++----
 .../dataframe/danfo.dataframe.cumsum.md       |  2 +-
 .../dataframe/danfo.dataframe.groupby.md      |  2 +-
 api-reference/groupby.md                      | 20 +++++++++----------
 api-reference/groupby/README.md               |  8 ++++----
 api-reference/groupby/groupby.cummax.md       |  4 ++--
 api-reference/groupby/groupby.cummin.md       |  6 +++---
 api-reference/groupby/groupby.cumprod.md      |  8 ++++----
 api-reference/groupby/groupby.cumsum.md       |  4 ++--
 9 files changed, 31 insertions(+), 31 deletions(-)

diff --git a/SUMMARY.md b/SUMMARY.md
index 303cc26..f9fe653 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -212,10 +212,10 @@
     * [Groupby.std](api-reference/groupby/groupby.std.md)
     * [Groupby.var](api-reference/groupby/groupby.var.md)
     * [Groupby.count](api-reference/groupby/groupby.count.md)
-    * [Groupby.cumsum](api-reference/groupby/groupby.cumsum.md)
-    * [Groupby.cummax](api-reference/groupby/groupby.cummax.md)
-    * [Groupby.cummin](api-reference/groupby/groupby.cummin.md)
-    * [Groupby.cumprod](api-reference/groupby/groupby.cumprod.md)
+    * [Groupby.cumSum](api-reference/groupby/groupby.cumsum.md)
+    * [Groupby.cumMax](api-reference/groupby/groupby.cummax.md)
+    * [Groupby.cumMin](api-reference/groupby/groupby.cummin.md)
+    * [Groupby.cumProd](api-reference/groupby/groupby.cumprod.md)
     * [Groupby.agg](api-reference/groupby/groupby.agg.md)
 * [User Guides](examples/README.md)
   * [Migrating to the stable version of Danfo.js](examples/migrating-to-the-stable-version-of-danfo.js.md)
diff --git a/api-reference/dataframe/danfo.dataframe.cumsum.md b/api-reference/dataframe/danfo.dataframe.cumsum.md
index a2585fe..ce997aa 100644
--- a/api-reference/dataframe/danfo.dataframe.cumsum.md
+++ b/api-reference/dataframe/danfo.dataframe.cumsum.md
@@ -64,7 +64,7 @@ data = [[11, 20, 3], [1, 15, 6], [2, 30, 40], [2, 89, 78]]
 cols = ["A", "B", "C"]
 
 let df = new dfd.DataFrame(data, { columns: cols })
-let new_df = df.cumsum({ axis: 1 })
+let new_df = df.cumSum({ axis: 1 })
 
 new_df.print()
 ```
diff --git a/api-reference/dataframe/danfo.dataframe.groupby.md b/api-reference/dataframe/danfo.dataframe.groupby.md
index b0adffc..30f4721 100644
--- a/api-reference/dataframe/danfo.dataframe.groupby.md
+++ b/api-reference/dataframe/danfo.dataframe.groupby.md
@@ -65,7 +65,7 @@ A groupby operation will return a GroupBy class object. You can apply any of the
 6. [cumSum](danfo.dataframe.cumsum.md)
 7. [cumMax](danfo.dataframe.cummax.md)
 8. [cumProd](danfo.dataframe.cumprod.md)
-9. [cummin](danfo.dataframe.cummin.md)
+9. [cumMin](danfo.dataframe.cummin.md)
 10. [max](danfo.dataframe.max.md)
 11. [min](danfo.dataframe.min.md)
 
diff --git a/api-reference/groupby.md b/api-reference/groupby.md
index 1db2e52..50a8170 100644
--- a/api-reference/groupby.md
+++ b/api-reference/groupby.md
@@ -37,11 +37,11 @@ description: >-
 | [`GroupBy.bfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.bfill.html#pandas.core.groupby.GroupBy.bfill)\(\[limit\]\) | Backward fill the values. |
 | [`GroupBy.backfill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.backfill.html#pandas.core.groupby.GroupBy.backfill)\(\[limit\]\) | Backward fill the values. |
 | [`GroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.count.html#pandas.core.groupby.GroupBy.count)\(\) | Compute count of group, excluding missing values. |
-| [`GroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`GroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`GroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`GroupBy.cumCount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumcount.html#pandas.core.groupby.GroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`GroupBy.cumMax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummax.html#pandas.core.groupby.GroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`GroupBy.cumMin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cummin.html#pandas.core.groupby.GroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`GroupBy.cumProd`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumprod.html#pandas.core.groupby.GroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`GroupBy.cumSum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.cumsum.html#pandas.core.groupby.GroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
 | [`GroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.ffill.html#pandas.core.groupby.GroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
 | [`GroupBy.first`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.first.html#pandas.core.groupby.GroupBy.first)\(\[numeric\_only, min\_count\]\) | Compute first of group values. |
 | [`GroupBy.head`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.head.html#pandas.core.groupby.GroupBy.head)\(\[n\]\) | Return first n rows of each group. |
@@ -74,11 +74,11 @@ The following methods are available in both `SeriesGroupBy` and `DataFrameGroupB
 | [`DataFrameGroupBy.corr`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.corr.html#pandas.core.groupby.DataFrameGroupBy.corr) | Compute pairwise correlation of columns, excluding NA/null values. |
 | [`DataFrameGroupBy.count`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.count.html#pandas.core.groupby.DataFrameGroupBy.count)\(\) | Compute count of group, excluding missing values. |
 | [`DataFrameGroupBy.cov`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cov.html#pandas.core.groupby.DataFrameGroupBy.cov) | Compute pairwise covariance of columns, excluding NA/null values. |
-| [`DataFrameGroupBy.cumcount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
-| [`DataFrameGroupBy.cummax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
-| [`DataFrameGroupBy.cummin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
-| [`DataFrameGroupBy.cumprod`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
-| [`DataFrameGroupBy.cumsum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
+| [`DataFrameGroupBy.cumCount`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumcount.html#pandas.core.groupby.DataFrameGroupBy.cumcount)\(\[ascending\]\) | Number each item in each group from 0 to the length of that group - 1. |
+| [`DataFrameGroupBy.cumMax`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummax.html#pandas.core.groupby.DataFrameGroupBy.cummax)\(\[axis\]\) | Cumulative max for each group. |
+| [`DataFrameGroupBy.cumMin`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cummin.html#pandas.core.groupby.DataFrameGroupBy.cummin)\(\[axis\]\) | Cumulative min for each group. |
+| [`DataFrameGroupBy.cumProd`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumprod.html#pandas.core.groupby.DataFrameGroupBy.cumprod)\(\[axis\]\) | Cumulative product for each group. |
+| [`DataFrameGroupBy.cumSum`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.cumsum.html#pandas.core.groupby.DataFrameGroupBy.cumsum)\(\[axis\]\) | Cumulative sum for each group. |
 | [`DataFrameGroupBy.describe`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.describe.html#pandas.core.groupby.DataFrameGroupBy.describe)\(\*\*kwargs\) | Generate descriptive statistics. |
 | [`DataFrameGroupBy.diff`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.diff.html#pandas.core.groupby.DataFrameGroupBy.diff) | First discrete difference of element. |
 | [`DataFrameGroupBy.ffill`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.DataFrameGroupBy.ffill.html#pandas.core.groupby.DataFrameGroupBy.ffill)\(\[limit\]\) | Forward fill the values. |
diff --git a/api-reference/groupby/README.md b/api-reference/groupby/README.md
index 9a1db65..86e7ae8 100644
--- a/api-reference/groupby/README.md
+++ b/api-reference/groupby/README.md
@@ -21,10 +21,10 @@ description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.gro
 |  |  |
 | :--- | :--- |
 | [`GroupBy.count`](groupby.count.md) | Compute count of group, excluding missing values. |
-| [`GroupBy.cummax`](groupby.cummax.md) | Cumulative max for each group. |
-| [`GroupBy.cummin`](groupby.cummin.md) | Cumulative min for each group. |
-| [`GroupBy.cumprod`](groupby.cumprod.md) | Cumulative product for each group. |
-| [`GroupBy.cumsum`](groupby.cumsum.md) | Cumulative sum for each group. |
+| [`GroupBy.cumMax`](groupby.cummax.md) | Cumulative max for each group. |
+| [`GroupBy.cumMin`](groupby.cummin.md) | Cumulative min for each group. |
+| [`GroupBy.cumProd`](groupby.cumprod.md) | Cumulative product for each group. |
+| [`GroupBy.cumSum`](groupby.cumsum.md) | Cumulative sum for each group. |
 | [`GroupBy.max`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.core.groupby.GroupBy.max.html#pandas.core.groupby.GroupBy.max) | Compute max of group values. |
 | [`GroupBy.mean`](groupby.mean.md) | Compute mean of groups, excluding missing values. |
 | [`GroupBy.min`](groupby.min.md) | Compute min of group values. |
diff --git a/api-reference/groupby/groupby.cummax.md b/api-reference/groupby/groupby.cummax.md
index 38f6aee..0f8fe5f 100644
--- a/api-reference/groupby/groupby.cummax.md
+++ b/api-reference/groupby/groupby.cummax.md
@@ -73,7 +73,7 @@ Shape: (5,2)
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumsum for two columns for each group, group by one column
+Obtain the cumMax for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -134,7 +134,7 @@ grp.col(["C","D"]).cumMax().tail().print()
 ╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummax for a column for each group, group by two columns
+Obtain the cumMax for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
index 1b569fa..01f70c3 100644
--- a/api-reference/groupby/groupby.cummin.md
+++ b/api-reference/groupby/groupby.cummin.md
@@ -4,7 +4,7 @@ description: Obtain the cummulative minimum per groups for each column
 
 # Groupby.cumMin
 
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
+> danfo.Groupby.**cumMin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
 
 **Parameters**: None
 
@@ -75,7 +75,7 @@ grpColC.cumMin().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for two columns for each group, group by one column
+Obtain the cumMin for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -137,7 +137,7 @@ grpCol.cumMin().tail().print()
 ╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for a column for each group, group by two columns
+Obtain the cumMin for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
index e47444c..fef9f49 100644
--- a/api-reference/groupby/groupby.cumprod.md
+++ b/api-reference/groupby/groupby.cumprod.md
@@ -4,7 +4,7 @@ description: Obtain the cumulative product per group for each column
 
 # Groupby.cumProd
 
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
+> danfo.Groupby.**cumProd**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
 
 **Parameters**: None
 
@@ -74,7 +74,7 @@ grpCol.cumProd().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each groups, group by one column
+Obtain the cumProd for two columns for each groups, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,7 +122,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for a column for each group, group by two columns
+Obtain the cumProd for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
@@ -170,7 +170,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each group, group by two columns
+Obtain the cumProd for two columns for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
index 2df6516..440fa31 100644
--- a/api-reference/groupby/groupby.cumsum.md
+++ b/api-reference/groupby/groupby.cumsum.md
@@ -2,9 +2,9 @@
 description: Obtain the cumulative sum per groups for each column
 ---
 
-# Groupby.cumsum
+# Groupby.cumSum
 
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
+> danfo.Groupby.**cumSum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
 
 **Parameters**: None
 

From 9f93af6f9e292a1a3b4533093dd805c5bbbd25c0 Mon Sep 17 00:00:00 2001
From: Okeha <92055388+Okeha@users.noreply.github.com>
Date: Tue, 29 Aug 2023 16:56:08 +0100
Subject: [PATCH 196/202] Update creating-a-dataframe.md

Spelling Correction from "you new" to "you need"
---
 api-reference/dataframe/creating-a-dataframe.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index a325b56..beb7111 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -11,7 +11,7 @@ danfo.**DataFrame**(data, options)
 | data       | 2D Array, 2D Tensor, JSON object. | Flat data structure to load into DataFrame                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
 | options    | Object                            | <p>Optional configuration object. Supported properties are:<br></p><p><strong>index:</strong> Array of numeric or string names for subseting array. If not specified, indexes are auto-generated.<br></p><p><strong>columns:</strong> Array of column names. If not specified, column names are auto generated.<br></p><p><strong>dtypes:</strong> Array of data types for each the column. If not specified, dtypes are/is inferred.<br></p><p><strong>config</strong>: General configuration object for extending or setting NDframe behavior. See full options here</p> |
 
-In order to create a DataFrame, you new to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options.
+In order to create a DataFrame, you need to call the new Keyword and pass in a flat data structure. In the following examples, we show you how to create DataFrames by specifying different config options.
 
 ### Creating a `DataFrame` from a JSON object:
 

From 5446e7240aa382052129630f5921ded5d2e6400a Mon Sep 17 00:00:00 2001
From: Kostas Minaidis <minaidisk@gmail.com>
Date: Sun, 25 Feb 2024 04:03:49 +0200
Subject: [PATCH 197/202] Fixed typo: redCSV -> readCSV

---
 ...anic-survival-prediction-using-danfo.js-and-tensorflow.js.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
index a109541..27ea7c1 100644
--- a/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
+++ b/examples/titanic-survival-prediction-using-danfo.js-and-tensorflow.js.md
@@ -53,7 +53,7 @@ Below your import add the following lines of code:
 ```javascript
 async function load_process_data() {
 
-    let df = await dfd.redCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
+    let df = await dfd.readCSV("https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv")
     df.head().print()
 
 

From 7391c35f75322b6766abad54cd100dcafb9ca67d Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@improbable.io>
Date: Wed, 2 Apr 2025 17:17:03 +0100
Subject: [PATCH 198/202] refactor: rename groupby method docs to use proper
 camelCase (cummin -> cumMin, cumprod -> cumProd, cumsum -> cumSum)

---
 api-reference/groupby/groupby.cumMin.md  |   6 +-
 api-reference/groupby/groupby.cumProd.md |   8 +-
 api-reference/groupby/groupby.cumSum.md  |   4 +-
 api-reference/groupby/groupby.cummin.md  | 263 -----------------------
 api-reference/groupby/groupby.cumprod.md | 221 -------------------
 api-reference/groupby/groupby.cumsum.md  | 200 -----------------
 6 files changed, 9 insertions(+), 693 deletions(-)
 delete mode 100644 api-reference/groupby/groupby.cummin.md
 delete mode 100644 api-reference/groupby/groupby.cumprod.md
 delete mode 100644 api-reference/groupby/groupby.cumsum.md

diff --git a/api-reference/groupby/groupby.cumMin.md b/api-reference/groupby/groupby.cumMin.md
index 1b569fa..01f70c3 100644
--- a/api-reference/groupby/groupby.cumMin.md
+++ b/api-reference/groupby/groupby.cumMin.md
@@ -4,7 +4,7 @@ description: Obtain the cummulative minimum per groups for each column
 
 # Groupby.cumMin
 
-> danfo.Groupby.**cummin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
+> danfo.Groupby.**cumMin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
 
 **Parameters**: None
 
@@ -75,7 +75,7 @@ grpColC.cumMin().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for two columns for each group, group by one column
+Obtain the cumMin for two columns for each group, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -137,7 +137,7 @@ grpCol.cumMin().tail().print()
 ╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cummin for a column for each group, group by two columns
+Obtain the cumMin for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumProd.md b/api-reference/groupby/groupby.cumProd.md
index e47444c..fef9f49 100644
--- a/api-reference/groupby/groupby.cumProd.md
+++ b/api-reference/groupby/groupby.cumProd.md
@@ -4,7 +4,7 @@ description: Obtain the cumulative product per group for each column
 
 # Groupby.cumProd
 
-> danfo.Groupby.**cumprod**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
+> danfo.Groupby.**cumProd**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
 
 **Parameters**: None
 
@@ -74,7 +74,7 @@ grpCol.cumProd().tail().print()
 ╚═══╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each groups, group by one column
+Obtain the cumProd for two columns for each groups, group by one column
 
 {% tabs %}
 {% tab title="Node" %}
@@ -122,7 +122,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for a column for each group, group by two columns
+Obtain the cumProd for a column for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
@@ -170,7 +170,7 @@ grpCol.cumProd().print()
 ╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Obtain the cumprod for two columns for each group, group by two columns
+Obtain the cumProd for two columns for each group, group by two columns
 
 {% tabs %}
 {% tab title="Node" %}
diff --git a/api-reference/groupby/groupby.cumSum.md b/api-reference/groupby/groupby.cumSum.md
index 2df6516..440fa31 100644
--- a/api-reference/groupby/groupby.cumSum.md
+++ b/api-reference/groupby/groupby.cumSum.md
@@ -2,9 +2,9 @@
 description: Obtain the cumulative sum per groups for each column
 ---
 
-# Groupby.cumsum
+# Groupby.cumSum
 
-> danfo.Groupby.**cumsum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
+> danfo.Groupby.**cumSum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
 
 **Parameters**: None
 
diff --git a/api-reference/groupby/groupby.cummin.md b/api-reference/groupby/groupby.cummin.md
deleted file mode 100644
index 01f70c3..0000000
--- a/api-reference/groupby/groupby.cummin.md
+++ /dev/null
@@ -1,263 +0,0 @@
----
-description: Obtain the cummulative minimum per groups for each column
----
-
-# Groupby.cumMin
-
-> danfo.Groupby.**cumMin**\(\)    \[[source](https://github.com/javascriptdata/danfojs/blob/4993242be7847ba7583dd40ed0188929898b8fd6/src/danfojs-base/aggregators/groupby.ts#L497)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative min of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-let grpColC = grp.col(["C"])
-grpColC.cumMin().head().print()
-grpColC.cumMin().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 2                 ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumMin for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-let grpCol = grp.col("C","D"])
-grpCol.cumMin().head().print()
-grpCol.cumMin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 1                 │ 3                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║    │ A                 │ C_cummin          │ D_cummin          ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 11 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 12 │ bar               │ 2                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 13 │ bar               │ 3                 │ 2                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 14 │ bar               │ 3                 │ 1                 ║
-╟────┼───────────────────┼───────────────────┼───────────────────╢
-║ 15 │ bar               │ 2                 │ 1                 ║
-╚════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumMin for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-let grpCol = grp.col(["C"])
-grpCol.cumMin().head().print()
-grpCol.cumMin().tail().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,3) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cummin for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-let grpCol = grp.col(["C","D"])
-grpCol.cumMin().head().print()
-grpCol.cumMin().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-  Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ one               │ 1                 │ 3                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,4) 
-
-╔═══╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║   │ A                 │ B                 │ C_cummin          │ D_cummin          ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ two               │ 2                 │ 4                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ three             │ 7                 │ 8                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ one               │ 3                 │ 2                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ two               │ 2                 │ 6                 ║
-╟───┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ three             │ 4                 │ 1                 ║
-╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
diff --git a/api-reference/groupby/groupby.cumprod.md b/api-reference/groupby/groupby.cumprod.md
deleted file mode 100644
index fef9f49..0000000
--- a/api-reference/groupby/groupby.cumprod.md
+++ /dev/null
@@ -1,221 +0,0 @@
----
-description: Obtain the cumulative product per group for each column
----
-
-# Groupby.cumProd
-
-> danfo.Groupby.**cumProd**\(\)     \[[source](https://github.com/javascriptdata/danfojs/blob/65f9b3753389b08101d4bb00a2d6488255476aaf/src/danfojs-base/aggregators/groupby.ts#L489)\]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative product of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-let grpCol = grp.col(["C"])
-grpCol.cumProd().head().print()
-grpCol.cumProd().tail().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 0 │ foo               │ 1                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 1 │ foo               │ 2                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 2 │ foo               │ 10                ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╚═══╧═══════════════════╧═══════════════════╝
-
-
- Shape: (5,2) 
-
-╔═══╤═══════════════════╤═══════════════════╗
-║   │ A                 │ C_cumprod         ║
-╟───┼───────────────────┼───────────────────╢
-║ 3 │ foo               │ 60                ║
-╟───┼───────────────────┼───────────────────╢
-║ 4 │ foo               │ 420               ║
-╟───┼───────────────────┼───────────────────╢
-║ 5 │ bar               │ 3                 ║
-╟───┼───────────────────┼───────────────────╢
-║ 6 │ bar               │ 12                ║
-╟───┼───────────────────┼───────────────────╢
-║ 7 │ bar               │ 24                ║
-╚═══╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumProd for two columns for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-let grpCol = grp.col(["C","D"])
-grpCol.cumProd().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-  
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ C_cumprod         │ D_cumprod         ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ 2                 │ 12                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ 10                │ 60                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ 60                │ 420               ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ 420               │ 3360              ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ 3                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ 12                │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ 24                │ 12                ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumProd for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={'A': ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           'B': ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           'C': [1,3,2,4,5,2,6,7],
-           'D': [3,2,4,1,5,6,7,8]
-        }
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-let grpCol = grp.col(["C"])
-grpCol.cumProd().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_cumprod         ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ one               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ one               │ 6                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ two               │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ two               │ 10                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ three             │ 7                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ one               │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ three             │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ two               │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumProd for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-let grpCol = grp.col(["C","D"])
-grpCol.cumProd().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```text
-
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_cumprod         │ D_cumprod         ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ one               │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ one               │ 6                 │ 21                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ two               │ 2                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ two               │ 10                │ 20                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ three             │ 7                 │ 8                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ one               │ 3                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ three             │ 4                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ two               │ 2                 │ 6                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
diff --git a/api-reference/groupby/groupby.cumsum.md b/api-reference/groupby/groupby.cumsum.md
deleted file mode 100644
index 440fa31..0000000
--- a/api-reference/groupby/groupby.cumsum.md
+++ /dev/null
@@ -1,200 +0,0 @@
----
-description: Obtain the cumulative sum per groups for each column
----
-
-# Groupby.cumSum
-
-> danfo.Groupby.**cumSum**()       \[[source](https://github.com/javascriptdata/danfojs/blob/0d33e344b80a3ed54c91c9393ac3b583d4b0b1a4/src/danfojs-base/aggregators/groupby.ts#L473)]
-
-**Parameters**: None
-
-**Return**: DataFrame
-
-**Examples**
-
-Obtain the cumulative sum of a column for each groups, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C"]).cumSum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ C_cumsum          ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ 8                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ 14                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ 21                ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ 3                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ 7                 ║
-╟────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ 9                 ║
-╚════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-Obtain the cumsum for two columns for each group, group by one column
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A"])
-grp.col(["C","D"]).cumSum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ C_cumsum          │ D_cumsum          ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ 3                 │ 7                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ 8                 │ 12                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ 14                │ 19                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ 21                │ 27                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ 3                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ 7                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ 9                 │ 9                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-Obtain the cumsum for a column for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C"]).cumSum().print()
-
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_cumsum          ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ one               │ 1                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ one               │ 7                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ two               │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ two               │ 7                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ three             │ 7                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ one               │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ three             │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ two               │ 2                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-
-```
-
-Obtain the count for two columns for each group, group by two columns
-
-{% tabs %}
-{% tab title="Node" %}
-```javascript
-const dfd = require("danfojs-node")
-
-let data ={A: ['foo', 'bar', 'foo', 'bar',
-                'foo', 'bar', 'foo', 'foo'],
-           B: ['one', 'one', 'two', 'three',
-                'two', 'two', 'one', 'three'],
-           C: [1,3,2,4,5,2,6,7],
-           D: [3,2,4,1,5,6,7,8]
-}
-
-let df = new dfd.DataFrame(data)
-
-let grp = df.groupby(["A","B"])
-grp.col(["C","D"]).cumSum().print()
-```
-{% endtab %}
-{% endtabs %}
-
-```
-╔════════════╤═══════════════════╤═══════════════════╤═══════════════════╤═══════════════════╗
-║            │ A                 │ B                 │ C_cumsum          │ D_cumsum          ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 0          │ foo               │ one               │ 1                 │ 3                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 1          │ foo               │ one               │ 7                 │ 10                ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 2          │ foo               │ two               │ 2                 │ 4                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 3          │ foo               │ two               │ 7                 │ 9                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 4          │ foo               │ three             │ 7                 │ 8                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 5          │ bar               │ one               │ 3                 │ 2                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 6          │ bar               │ three             │ 4                 │ 1                 ║
-╟────────────┼───────────────────┼───────────────────┼───────────────────┼───────────────────╢
-║ 7          │ bar               │ two               │ 2                 │ 6                 ║
-╚════════════╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
-```
-
-****

From 9e2c55d7dfbeba6b8a7871dc84e296c53ab76072 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@improbable.io>
Date: Wed, 2 Apr 2025 17:18:22 +0100
Subject: [PATCH 199/202] refactor: rename groupby cummax to cumMax for
 consistent camelCase

---
 api-reference/groupby/{groupby.cummax.md => groupby.cumMax.md} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename api-reference/groupby/{groupby.cummax.md => groupby.cumMax.md} (100%)

diff --git a/api-reference/groupby/groupby.cummax.md b/api-reference/groupby/groupby.cumMax.md
similarity index 100%
rename from api-reference/groupby/groupby.cummax.md
rename to api-reference/groupby/groupby.cumMax.md

From ac64bd0c2e0b49e34abe5048f3ffc0b984bf2da4 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@improbable.io>
Date: Thu, 3 Apr 2025 21:51:13 +0100
Subject: [PATCH 200/202] update group by doc

---
 SUMMARY.md                                  |  2 +-
 api-reference/groupby/README.md             |  2 +-
 api-reference/groupby/groupby.getGroup.md   |  4 ++--
 api-reference/groupby/groupby.get_groups.md | 18 +++++++++---------
 getting-started.md                          |  4 ++--
 5 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/SUMMARY.md b/SUMMARY.md
index f9fe653..3288ce0 100644
--- a/SUMMARY.md
+++ b/SUMMARY.md
@@ -203,7 +203,7 @@
     * [Line Charts](api-reference/plotting/line-charts.md)
     * [Customizing your plots](api-reference/plotting/configuring-your-plots.md)
   * [Groupby](api-reference/groupby/README.md)
-    * [Groupby.get\_groups](api-reference/groupby/groupby.get\_groups.md)
+    * [Groupby.getGroups](api-reference/groupby/groupby.getGroups.md)
     * [Groupby.col](api-reference/groupby/groupby.col.md)
     * [Groupby.max](api-reference/groupby/groupby.max.md)
     * [Groupby.min](api-reference/groupby/groupby.min.md)
diff --git a/api-reference/groupby/README.md b/api-reference/groupby/README.md
index 86e7ae8..7e37891 100644
--- a/api-reference/groupby/README.md
+++ b/api-reference/groupby/README.md
@@ -8,7 +8,7 @@ description: 'GroupBy objects are returned by groupby calls: danfo.DataFrame.gro
 
 |  |  |
 | :--- | :--- |
-| [`GroupBy.get_group`](groupby.get_groups.md) | Construct DataFrame from group with provided name. |
+| [`GroupBy.get_group`](groupby.getGroup.md) | Construct DataFrame from group with provided name. |
 
 ### Function application
 
diff --git a/api-reference/groupby/groupby.getGroup.md b/api-reference/groupby/groupby.getGroup.md
index cecf8dc..4fed78e 100644
--- a/api-reference/groupby/groupby.getGroup.md
+++ b/api-reference/groupby/groupby.getGroup.md
@@ -74,7 +74,7 @@ grp.getGroup(["bar"]).print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
+Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the getGroups belonging to these two columns
 
 {% tabs %}
 {% tab title="Node" %}
@@ -102,7 +102,7 @@ grp.getGroup(["bar","one"]).print()
 {% endtabs %}
 
 ```text
-//get_groups(["foo","one"]
+//getGroup(["foo","one"]
 
 
  Shape: (2,4) 
diff --git a/api-reference/groupby/groupby.get_groups.md b/api-reference/groupby/groupby.get_groups.md
index 9f19971..4450e0a 100644
--- a/api-reference/groupby/groupby.get_groups.md
+++ b/api-reference/groupby/groupby.get_groups.md
@@ -2,9 +2,9 @@
 description: Obtain the data for each element of the groupby column
 ---
 
-# Groupby.get\_groups
+# Groupby.getGroups
 
-> danfo.Groupby.get\_groups(key) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)]
+> danfo.Groupby.getGroups(key) \[[source](https://github.com/opensource9ja/danfojs/blob/master/danfojs/src/core/groupby.js#L313)]
 
 | Parameters | Type  | Description                   | default |
 | ---------- | ----- | ----------------------------- | ------- |
@@ -34,9 +34,9 @@ let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
 
-grp.get_groups(["foo"]).print()
+grp.getGroup(["foo"]).print()
 
-grp.get_groups(["bar"]).print()
+grp.getGroup(["bar"]).print()
 ```
 {% endtab %}
 {% endtabs %}
@@ -74,7 +74,7 @@ grp.get_groups(["bar"]).print()
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 ```
 
-Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the get\_groups belonging to these two columns
+Group dataframe by two columns and obtain their groups. Since the dataframe is grouped by two columns we most specify two keys in the getGroups belonging to these two columns
 
 {% tabs %}
 {% tab title="Node" %}
@@ -94,15 +94,15 @@ let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A","B"])
 
-grp.get_groups(["foo","one"]).print()
+grp.getGroup(["foo","one"]).print()
 
-grp.get_groups(["bar","one"]).print()
+grp.getGroup(["bar","one"]).print()
 ```
 {% endtab %}
 {% endtabs %}
 
 ```
-//get_groups(["foo","one"]
+//getGroup(["foo","one"]
 
 
  Shape: (2,4) 
@@ -115,7 +115,7 @@ grp.get_groups(["bar","one"]).print()
 ║ 1 │ foo               │ one               │ 6                 │ 7                 ║
 ╚═══╧═══════════════════╧═══════════════════╧═══════════════════╧═══════════════════╝
 
-//get_groups(["bar","one"])
+//getGroup(["bar","one"])
 
 
  Shape: (1,4) 
diff --git a/getting-started.md b/getting-started.md
index ec49476..a656385 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -2030,9 +2030,9 @@ let df = new dfd.DataFrame(data)
 
 let grp = df.groupby(["A"])
 
-grp.get_groups(["foo"]).print()
+grp.getGroup(["foo"]).print()
 
-grp.get_groups(["bar"]).print()
+grp.getGroup(["bar"]).print()
 ```
 
 ```

From b0c7a6fd3b2fe9d9d4041645757fd109cf832285 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@improbable.io>
Date: Thu, 3 Apr 2025 23:42:35 +0100
Subject: [PATCH 201/202] update version tag

---
 .../dataframe/creating-a-dataframe.md         |  8 ++--
 .../dataframe/danfo.dataframe.diff.md         |  8 ++--
 .../dataframe/danfo.dataframe.pctChange.md    |  8 ++--
 api-reference/dataframe/dataframe.to_csv.md   |  2 +-
 api-reference/dataframe/dataframe.to_json.md  |  2 +-
 api-reference/input-output/danfo.read_csv.md  |  4 +-
 .../input-output/danfo.read_excel.md          |  4 +-
 api-reference/input-output/danfo.read_json.md |  4 +-
 api-reference/input-output/danfo.to_csv.md    |  2 +-
 api-reference/input-output/danfo.to_json.md   |  2 +-
 api-reference/plotting/bar-charts.md          |  4 +-
 api-reference/plotting/histograms.md          |  2 +-
 api-reference/plotting/line-charts.md         |  6 +--
 api-reference/plotting/pie-charts.md          |  4 +-
 api-reference/plotting/scatter-plots.md       |  4 +-
 api-reference/plotting/violin-plots.md        |  4 +-
 api-reference/series/creating-a-series.md     |  4 +-
 getting-started.md                            | 38 +++++++++----------
 release-notes.md                              |  2 +-
 19 files changed, 56 insertions(+), 56 deletions(-)

diff --git a/api-reference/dataframe/creating-a-dataframe.md b/api-reference/dataframe/creating-a-dataframe.md
index beb7111..b19e5f9 100644
--- a/api-reference/dataframe/creating-a-dataframe.md
+++ b/api-reference/dataframe/creating-a-dataframe.md
@@ -40,7 +40,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -85,7 +85,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -142,7 +142,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -220,7 +220,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/api-reference/dataframe/danfo.dataframe.diff.md b/api-reference/dataframe/danfo.dataframe.diff.md
index d623940..3b15c8a 100644
--- a/api-reference/dataframe/danfo.dataframe.diff.md
+++ b/api-reference/dataframe/danfo.dataframe.diff.md
@@ -45,7 +45,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -117,7 +117,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -191,7 +191,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -269,7 +269,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/danfo.dataframe.pctChange.md b/api-reference/dataframe/danfo.dataframe.pctChange.md
index 99248a0..542029f 100644
--- a/api-reference/dataframe/danfo.dataframe.pctChange.md
+++ b/api-reference/dataframe/danfo.dataframe.pctChange.md
@@ -41,7 +41,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -109,7 +109,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -183,7 +183,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
@@ -261,7 +261,7 @@ df_new.print();
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
   </head>
 
   <body>
diff --git a/api-reference/dataframe/dataframe.to_csv.md b/api-reference/dataframe/dataframe.to_csv.md
index b4429c0..101cb4b 100644
--- a/api-reference/dataframe/dataframe.to_csv.md
+++ b/api-reference/dataframe/dataframe.to_csv.md
@@ -53,7 +53,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/dataframe/dataframe.to_json.md b/api-reference/dataframe/dataframe.to_json.md
index 320170e..3a6f4db 100644
--- a/api-reference/dataframe/dataframe.to_json.md
+++ b/api-reference/dataframe/dataframe.to_json.md
@@ -66,7 +66,7 @@ console.log(jsonObjRow);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_csv.md b/api-reference/input-output/danfo.read_csv.md
index 54812bb..c389d5d 100644
--- a/api-reference/input-output/danfo.read_csv.md
+++ b/api-reference/input-output/danfo.read_csv.md
@@ -66,7 +66,7 @@ dfd.readCSV("https://raw.githubusercontent.com/plotly/datasets/master/finance-ch
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-2.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -106,7 +106,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_excel.md b/api-reference/input-output/danfo.read_excel.md
index 65fd184..75d2fe2 100644
--- a/api-reference/input-output/danfo.read_excel.md
+++ b/api-reference/input-output/danfo.read_excel.md
@@ -40,7 +40,7 @@ load_process_data()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -75,7 +75,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.read_json.md b/api-reference/input-output/danfo.read_json.md
index ad28bcc..3fd26e6 100644
--- a/api-reference/input-output/danfo.read_json.md
+++ b/api-reference/input-output/danfo.read_json.md
@@ -61,7 +61,7 @@ dfd.readJSON("https://raw.githubusercontentdatasets/master/finance-charts-apple.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -99,7 +99,7 @@ By specifying a valid [file object](https://developer.mozilla.org/en-US/docs/Web
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_csv.md b/api-reference/input-output/danfo.to_csv.md
index cc9871f..9798a11 100644
--- a/api-reference/input-output/danfo.to_csv.md
+++ b/api-reference/input-output/danfo.to_csv.md
@@ -48,7 +48,7 @@ Abs,Count,country code
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/input-output/danfo.to_json.md b/api-reference/input-output/danfo.to_json.md
index 911c1bb..18816d7 100644
--- a/api-reference/input-output/danfo.to_json.md
+++ b/api-reference/input-output/danfo.to_json.md
@@ -58,7 +58,7 @@ console.log(jsonObj);
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/bar-charts.md b/api-reference/plotting/bar-charts.md
index 7934ba3..5dab386 100644
--- a/api-reference/plotting/bar-charts.md
+++ b/api-reference/plotting/bar-charts.md
@@ -17,7 +17,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -46,7 +46,7 @@ A bar plot presents categorical data with rectangular bars with lengths proporti
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
diff --git a/api-reference/plotting/histograms.md b/api-reference/plotting/histograms.md
index e19c892..c2691cb 100644
--- a/api-reference/plotting/histograms.md
+++ b/api-reference/plotting/histograms.md
@@ -134,7 +134,7 @@ a
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/line-charts.md b/api-reference/plotting/line-charts.md
index f37e09a..89a2aea 100644
--- a/api-reference/plotting/line-charts.md
+++ b/api-reference/plotting/line-charts.md
@@ -17,7 +17,7 @@ description: >-
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -48,7 +48,7 @@ The example below shows the plot of column values against a common x-axis (index
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -79,7 +79,7 @@ The example below shows how to plot two columns in a DataFrame against each othe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/pie-charts.md b/api-reference/plotting/pie-charts.md
index 89c6a1c..096de25 100644
--- a/api-reference/plotting/pie-charts.md
+++ b/api-reference/plotting/pie-charts.md
@@ -86,7 +86,7 @@ e
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -131,7 +131,7 @@ For example, in the snippet below, we set the `grid` to 2 by 2 and also pass a s
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/scatter-plots.md b/api-reference/plotting/scatter-plots.md
index 61f6815..55e6a39 100644
--- a/api-reference/plotting/scatter-plots.md
+++ b/api-reference/plotting/scatter-plots.md
@@ -19,7 +19,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -56,7 +56,7 @@ In the example below, we use the titanic dataset, to show a close to real-world
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/plotting/violin-plots.md b/api-reference/plotting/violin-plots.md
index 0ccb71b..3609a01 100644
--- a/api-reference/plotting/violin-plots.md
+++ b/api-reference/plotting/violin-plots.md
@@ -44,7 +44,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -113,7 +113,7 @@ export default App;
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/api-reference/series/creating-a-series.md b/api-reference/series/creating-a-series.md
index f1f4740..ef11bc8 100644
--- a/api-reference/series/creating-a-series.md
+++ b/api-reference/series/creating-a-series.md
@@ -31,7 +31,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -88,7 +88,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
diff --git a/getting-started.md b/getting-started.md
index a656385..b0510f1 100644
--- a/getting-started.md
+++ b/getting-started.md
@@ -39,7 +39,7 @@ yarn add danfojs
 For use directly in HTML files, you can add the latest script tag from [JsDelivr](https://www.jsdelivr.com/package/npm/danfojs):
 
 ```markup
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
 ```
 
 {% hint style="info" %}
@@ -70,7 +70,7 @@ import * as dfd from "danfojs-node"
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
 </head>
 
 <body>
@@ -120,7 +120,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -181,7 +181,7 @@ s.print()
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
 
     <title>Document</title>
 </head>
@@ -242,7 +242,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
 <title>Document</title>
 </head>
 
@@ -291,7 +291,7 @@ df.ctypes.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -369,7 +369,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -460,7 +460,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -568,7 +568,7 @@ let dates = new dfd.dateRange({
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -653,7 +653,7 @@ df.tensor.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -733,7 +733,7 @@ df.describe().print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -806,7 +806,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -876,7 +876,7 @@ df['A'].print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1293,7 +1293,7 @@ df.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1382,7 +1382,7 @@ df_drop.print()
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -1600,7 +1600,7 @@ df.mean().print() //defaults to column (1) axis
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
      <!--danfojs CDN -->
-<script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>    <title>Document</title>
+<script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>    <title>Document</title>
 </head>
 
 <body>
@@ -2213,7 +2213,7 @@ Using the `plot` API, you can make interactive plots from DataFrame and Series.
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
      <title>Document</title>
 </head>
 
@@ -2265,7 +2265,7 @@ On a DataFrame, the [`plot()`](https://pandas.pydata.org/pandas-docs/stable/refe
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
       <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
@@ -2360,7 +2360,7 @@ dfd.readCSV("/home/Desktop/titanic.csv")
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script>
+     <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script>
     <title>Document</title>
 </head>
 
diff --git a/release-notes.md b/release-notes.md
index 16a0cd7..934d0f9 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -181,7 +181,7 @@ A simple example:
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <script src="https://cdn.plot.ly/plotly-1.2.0.min.js"></script> 
-    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.1.2/lib/bundle.min.js"></script> 
+    <script src="https://cdn.jsdelivr.net/npm/danfojs@1.2.0/lib/bundle.min.js"></script> 
 
     <title>Document</title>
 </head>

From 1361cba82bd179b92d44e0d38cd8705883161672 Mon Sep 17 00:00:00 2001
From: Rising Odegua <risingodegua@improbable.io>
Date: Thu, 3 Apr 2025 23:47:59 +0100
Subject: [PATCH 202/202] update release notes

---
 release-notes.md | 35 +++++++++++++++++++++++++----------
 1 file changed, 25 insertions(+), 10 deletions(-)

diff --git a/release-notes.md b/release-notes.md
index 934d0f9..9450854 100644
--- a/release-notes.md
+++ b/release-notes.md
@@ -1,6 +1,24 @@
 # Release Notes
 
-### \[LATEST] Release Node (v1.1.2), Browser (v1.1.2)
+### \[LATEST] Release Node (v1.2.0), Browser (v1.2.0)
+
+**Date:** 3rd April 2025
+
+#### What's Changed
+
+* Upgrade of SheetJS dependency
+* fix: replace does not accept falsy strings or numbers
+* Adds function overload to NDFrame toCSV and toJSON so danfojs-base and danfojs-browser can use the same code
+* Better error handling for io functions
+* Update io.excel.ts to use default values for options
+* fix dtypes not used on csv parse
+* fix isEmpty bug with bigInt
+
+#### Contributors: @risenW @BowTiedAztec @kgeis @geoextra @pensono @acctsi1 @babennettdev @kitfit-dave @ekynoxe @nucoinha @lyhue1991
+
+**Full Changelog**: https://github.com/javascriptdata/danfojs/releases/tag/v1.2.0
+
+### Release Node (v1.1.2), Browser (v1.1.2)
 
 **Date:** 12th October 2022
 
@@ -110,17 +128,14 @@ Minor patch update for column name display after aggregation functions like sum,
 * Add loc indexing support for Series
 * Add configuration support for formating DataFrame display in the console
 * New DataFrame `applyMap` function for element-wise apply function
-* `and` and `or` logical comparison support. E.g\
-  `df.loc({`\
-  `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
-  `})`
+* `and` and `or` logical comparison support. E.g`df.loc({``rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))``})`
 * `read_csv` now uses [Papaparse](https://www.papaparse.com) and supports config values for headers, separator, etc.
 * `to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output.
 * `read_json` now supports config values for headers, authentication, separator, etc.
 * `read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options.
-* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g\
-  `df.query({`\
-  `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`\
+* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g
+  `df.query({`
+  `rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))`
   `})`
 
 **Bug Fixes**
@@ -138,7 +153,7 @@ Contributors [@risenW](https://github.com/risenW)
 
 **Date:** 30th May 2021
 
-\[Bug Fixes]: [#206](https://github.com/opensource9ja/danfojs/issues/206) [#203](https://github.com/opensource9ja/danfojs/issues/203) [#200](https://github.com/opensource9ja/danfojs/issues/200) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#188](https://github.com/opensource9ja/danfojs/issues/188) [#181](https://github.com/opensource9ja/danfojs/issues/181) [#175](https://github.com/opensource9ja/danfojs/issues/175) [#183](https://github.com/opensource9ja/danfojs/issues/183) [#168](https://github.com/opensource9ja/danfojs/issues/168)\
+\[Bug Fixes]: [#206](https://github.com/opensource9ja/danfojs/issues/206) [#203](https://github.com/opensource9ja/danfojs/issues/203) [#200](https://github.com/opensource9ja/danfojs/issues/200) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#198](https://github.com/opensource9ja/danfojs/issues/198) [#188](https://github.com/opensource9ja/danfojs/issues/188) [#181](https://github.com/opensource9ja/danfojs/issues/181) [#175](https://github.com/opensource9ja/danfojs/issues/175) [#183](https://github.com/opensource9ja/danfojs/issues/183) [#168](https://github.com/opensource9ja/danfojs/issues/168)
 \[Patches] [#191](https://github.com/opensource9ja/danfojs/issues/191) [#161](https://github.com/opensource9ja/danfojs/issues/161) [#206](https://github.com/opensource9ja/danfojs/issues/206)
 
 Contributors [@risenW](https://github.com/risenW) [@steveoni](https://github.com/steveoni) [@jpjagt](https://github.com/jpjagt) [@sponsfreixes](https://github.com/sponsfreixes) [@bherbruck](https://github.com/bherbruck) [@woosuk288](https://github.com/woosuk288) and [@adithyaakrishna](https://github.com/adithyaakrishna)
@@ -209,7 +224,7 @@ A simple example:
             })
 
     </script>
-    
+  
 </body>
 
 </html>