text_html_output_1.png text_plain_output_1.png
from subprocess import check_output

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
from subprocess import check_output
pd_air_reserve = pd.read_csv('../input/air_reserve.csv')
pd_air_store_info = pd.read_csv('../input/air_store_info.csv')
pd_air_visit_data = pd.read_csv('../input/air_visit_data.csv')
pd_date_info = pd.read_csv('../input/date_info.csv')

pd_hpg_reserve = pd.read_csv('../input/hpg_reserve.csv')
pd_hpg_store_info = pd.read_csv('../input/hpg_store_info.csv')
pd_store_id_relation = pd.read_csv('../input/store_id_relation.csv')
pd_sample_submission = pd.read_csv('../input/sample_submission.csv')
print(pd_hpg_reserve.head())
print(pd_hpg_store_info.head())
print(pd_store_id_relation.head())
print(pd_sample_submission.head())
pd_air_reserve.describe().transpose()