In [6]:

    

import pandas as pd
import seaborn as sns
%matplotlib inline


    

In [7]:

    

df = pd.read_csv("data/expedia/train.csv", nrows=1000 * 10)


    

In [8]:

    

df.columns


    

    
Out[8]:





Index([u'date_time', u'site_name', u'posa_continent', u'user_location_country',
       u'user_location_region', u'user_location_city',
       u'orig_destination_distance', u'user_id', u'is_mobile', u'is_package',
       u'channel', u'srch_ci', u'srch_co', u'srch_adults_cnt',
       u'srch_children_cnt', u'srch_rm_cnt', u'srch_destination_id',
       u'srch_destination_type_id', u'is_booking', u'cnt', u'hotel_continent',
       u'hotel_country', u'hotel_market', u'hotel_cluster'],
      dtype='object')

In [15]:

    

sns.FacetGrid(df, hue="is_booking", size=6).map(sns.kdeplot, "cnt").add_legend()


    

    
Out[15]:





<seaborn.axisgrid.FacetGrid at 0x115ce3b10>






    

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