import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os
import gc # We're gonna be clearing memory a lot
import matplotlib.pyplot as plt
import seaborn as sns


p = sns.color_palette()

print('# File sizes')
for f in os.listdir('../input'):
    if 'zip' not in f:
        print(f.ljust(30) + str(round(os.path.getsize('../input/' + f) / 1000000, 2)) + 'MB')
    
df_train = pd.read_csv('../input/clicks_train.csv')
df_test = pd.read_csv('../input/clicks_test.csv')