{"cells":[{"metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","trusted":false,"collapsed":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os \nprint(os.listdir(\"../input\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false,"collapsed":true},"cell_type":"code","source":"dtypes = {\n        'ip':'uint32',\n        'app': 'uint16',\n        'device': 'uint16',\n        'os': 'uint16',\n        'channel': 'uint16',\n        'is_attributed': 'uint8'\n        }\ntrain_df  = pd.read_csv('../input/train.csv', dtype=dtypes)\ntest_df  = pd.read_csv('../input/test.csv', dtype=dtypes)","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"211632c8-71cf-4c42-a386-e15504fbc772","_uuid":"bb2e77f367029161c57460e321a387b9989e3128"},"cell_type":"markdown","source":"## There is a big max Train click_time and min test click_time"},{"metadata":{"_cell_guid":"5dafe006-00b1-498c-b241-a9c26de6e67b","_uuid":"f9b92092e4cb1b941126dc94b6d4aeaa0a72b385","trusted":false,"collapsed":true},"cell_type":"code","source":"print(train_df['click_time'].max())\nprint(test_df['click_time'].min())","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"f4d4352f-f1a9-4664-afd3-83a0ab6a2236","_uuid":"67d968b162f5e73826383313e4aa2c52bdcb10b8"},"cell_type":"markdown","source":"> be carefull about that, I am not sure why there is a gap between training set and test set too. But it is a big challange"}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"mimetype":"text/x-python","name":"python","pygments_lexer":"ipython3","nbconvert_exporter":"python","codemirror_mode":{"version":3,"name":"ipython"},"version":"3.6.4","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}