# plotly standard imports

import plotly.graph_objs as go

import chart_studio.plotly as py

# Cufflinks wrapper on plotly

import cufflinks

# Data science imports

import pandas as pd

import numpy as np

# Options for pandas

pd.options.display.max_columns = 30

df = pd.read_csv('data/blue_jays.csv', index_col=0)

df.head()

print(df)

from plotly.offline import iplot

import plotly.figure_factory as ff

figure = ff.create_scatterplotmatrix(df[['KnownSex', 'Head', 'Mass', 'Skull']],

index='KnownSex', height=800, width=800)

iplot(figure)

corrs = df.corr()

figure = ff.create_annotated_heatmap(z=corrs.round(2).values,

x = list(corrs.columns),

y = list(corrs.index),

showscale=True)

#iplot(figure)

figure = ff.create_scatterplotmatrix(df[['KnownSex', 'Head', 'Mass', 'Skull']], diag='histogram',

index='KnownSex', height=800, width=800)

#iplot(figure)

iplot(ff.create_violin(df, data_header='Mass',

group_header='KnownSex'))

figure = ff.create_dendrogram(df[['Mass', 'Skull']])

iplot(figure)