{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np \nimport pandas as pd ","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"df=pd.read_csv(\"../input/h-and-m-personalized-fashion-recommendations/transactions_train.csv\")\ndf_offline=df[df[\"sales_channel_id\"]==1]\ndf_online=df[df[\"sales_channel_id\"]==2]","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport matplotlib.dates\n\nfrom datetime import datetime","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dates_offline = matplotlib.dates.date2num(df_offline['t_dat'].unique())","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.scatter(dates_offline,[1]*len(dates_offline))","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"dates_online = matplotlib.dates.date2num(df_online['t_dat'].unique())","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"plt.scatter(dates_online,[1]*len(dates_online))","metadata":{},"execution_count":null,"outputs":[]}]}