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
from sklearn.preprocessing import OneHotEncoder, LabelEncoder
import matplotlib as mpl
import matplotlib.pyplot as plt
import seaborn as sns
articles = pd.read_csv('../input/h-and-m-personalized-fashion-recommendations/articles.csv')
customers = pd.read_csv('../input/h-and-m-personalized-fashion-recommendations/customers.csv')
train_data = pd.read_csv('../input/h-and-m-personalized-fashion-recommendations/transactions_train.csv')

print('Articles:')
print(articles.shape)
print(articles.keys())
print(articles.head())
print('')
print('Customers:')
print(customers.head())
print(customers.shape)
print(customers.keys())
print('')
print('Train_data:')
print(train_data.shape)
print(train_data.keys())
print(train_data.head())
print('')