text_plain_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import missingno as msno
air_reserve = pd.read_csv('../input/air_reserve.csv')
hpg_reserve = pd.read_csv('../input/hpg_reserve.csv')
visits = pd.read_csv('../input/air_visit_data.csv')
dates = pd.read_csv('../input/date_info.csv')
relation = pd.read_csv('../input/store_id_relation.csv')
air_store_info = pd.read_csv('../input/air_store_info.csv')
hpg_store_info = pd.read_csv('../input/hpg_store_info.csv')

print('Cuisines:')
air_store_info['air_genre_name'].unique()