{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"c5878fdd-531e-1be4-01a7-cae9013173a0"},"outputs":[],"source":"import numpy as np\nimport pandas as pd\nimport time\n\nprint ('Starting....')\nstart_time = time.time()\ntrain_category = pd.DataFrame()\nfor chunk in pd.read_csv('../input/train_categorical.csv',chunksize=10000):\n    train_category = train_category.append(chunk,ignore_index=True)\nprint ('Finish.....')\nprint ('Time %.2f')%((time.time() - start_time) / 60)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"52264b75-e7ea-cc90-8bba-9b6fe909e469"},"outputs":[],"source":"print ('Starting....')\nstart_time = time.time()\ntrain_numeric = pd.DataFrame()\ntest_numeric = pd.DataFrame()\nfor chunk in pd.read_csv('../input/train_numeric.csv',chunksize=10000):\n    train_category = train_category.append(chunk,ignore_index=True)\n\nfor chunk in r\nprint ('Finish.....')\nprint ('Time %.2f')%((time.time() - start_time) / 60)"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.5.2"}},"nbformat":4,"nbformat_minor":0}