# This R environment comes with all of CRAN preinstalled, as well as many other helpful packages
# The environment is defined by the kaggle/rstats docker image: https://github.com/kaggle/docker-rstats
# For example, here's several helpful packages to load in 

# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory



# Any results you write to the current directory are saved as output.
import pandas as pd
train = pd.read_csv('../input/train.csv',usecols=['Semana','Cliente_ID','Producto_ID'])
print(train)
