# -*- coding: utf-8 -*-

# Copyright 2018-2019 Streamlit Inc.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

import streamlit as st

import numpy as np

from plotly import figure_factory

# Add histogram data

x1 = np.random.randn(200) - 2

x2 = np.random.randn(200)

x3 = np.random.randn(200) + 2

# Group data together

hist_data = [x1, x2, x3]

group_labels = ["Group 1", "Group 2", "Group 3"]

bin_size = [0.1, 0.25, 0.5]

# Create distribution plot with custom bin_size

chart = figure_factory.create_distplot(hist_data, group_labels, bin_size)

# Plot!

st.plotly_chart(chart)