{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"collapsed":true},"cell_type":"code","source":"import pytz\nimport pandas as pd\nimport numpy as np","execution_count":2,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":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    }\n#only read 100,000 rows for illustration\ntrain = pd.read_csv('../input/train.csv', dtype = dtypes, nrows = 100000)\ntrain.head(5)","execution_count":3,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"69995abe40f5fce7725fd3053b9ff78e2cb5c529"},"cell_type":"code","source":"cst = pytz.timezone('Asia/Shanghai')\ntrain.click_time = pd.to_datetime(train.click_time, errors = 'ignore')\ntrain['local_click_time'] = train['click_time'].dt.tz_localize(pytz.utc).dt.tz_convert(cst)\ntrain.head(5)","execution_count":4,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}