{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"#The newly uploaded files : train_v2.csv and test_v2.csv are very large in size(approx. 24 GB) \n#which was shooting up my laptop memory. Hence I have worked with earlier loaded files containing less data\n\n\nimport pandas as pd #FOR DATA PRE-PROCESSING\nimport json #FOR CONVERTING STRING TYPE DICT VALUES TO PYTHON DICT OBJECT\nimport os\n\nprint(os.listdir())\nprint(os.getcwd())\n\n\n########### LOADING CSV FILE ############\ntrain = pd.read_csv('../input/train.csv')\n#########################################\n\n########## CONVERTING STRING TYPE DICT VALUES TO PYTHON DICT OBJECT ###########\nprint('Before converting data to dict, datatype is --->',type(train.loc[0,'device']))\ndictColumns = ['device','geoNetwork','totals','trafficSource']\nfor cols in dictColumns:\n    train[cols] = train[cols].apply(json.loads)\nprint('After converting data to dict, datatype is --->',type(train.loc[0,'device']))\n###############################################################################\n\n\n######### CREATING NEW COLUMN FOR EACH KEY FROM DICT DATA #############\nprint('Before Creating New Columns, shape of dataframe is--->',train.shape)   \nfor cols in dictColumns:\n    train = pd.concat([train.drop(cols,axis=1), train[cols].apply(pd.Series)], axis=1)\nprint('After Creating New Columns, shape of dataframe is--->',train.shape)\n#######################################################################\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","collapsed":true,"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":false},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}