In [1]:

    

%matplotlib inline


    

In [2]:

    

import pandas as pd
import seaborn as sns
import yellowbrick as yb
from yellowbrick.features import JointPlotVisualizer
from yellowbrick.datasets import load_concrete, load_bikeshare


    

In [3]:

    

from yellowbrick.style import set_palette
set_palette('sns_colorblind')


    

In [4]:

    

sns.set(style="ticks")


    

In [5]:

    

data = load_bikeshare(return_dataset=True)
X, y = data.to_pandas()


    

In [6]:

    

no_hex = JointPlotVisualizer(
    columns=['temp', 'feelslike'], size=(400,400)
)

no_hex.fit_transform(X, y)
no_hex.finalize()


    

In [7]:

    

# yes_hex = JointPlotVisualizer(
#     columns=['temp', 'feelslike'], kind='hexbin'
# )

# yes_hex.fit_transform(X, y)
# yes_hex.poof()


    

In [8]:

    

sns.jointplot(X['temp'], X['feelslike'], kind="hex")


    

    
Out[8]:





<seaborn.axisgrid.JointGrid at 0x121630240>






    

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