text_plain_output_3.png text_plain_output_2.png 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(customers['FN'].unique())
print(customers['Active'].unique())
print(customers['club_member_status'].unique())
print(customers['fashion_news_frequency'].unique())
print(customers['age'].unique())