{"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\nfrom sklearn.preprocessing import LabelEncoder\n\ntrain = pd.read_csv('../input/moabd-l1-2022/train.csv')\ntest = pd.read_csv('../input/moabd-l1-2022/test.csv')\n\nprint('Columns: {}'.format(list(train.columns.values)))\n\nle = LabelEncoder().fit(list(train['Gender'].values) + list(test['Gender'].values))\ntrain['Gender'] = le.transform(train['Gender'].values)\ntest['Gender'] = le.transform(test['Gender'].values)\nprint(le.classes_)\nprint(train['Gender'].values)","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","papermill":{"duration":1.055189,"end_time":"2021-08-27T09:17:21.463086","exception":false,"start_time":"2021-08-27T09:17:20.407897","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2022-08-12T10:10:33.295310Z","iopub.execute_input":"2022-08-12T10:10:33.295746Z","iopub.status.idle":"2022-08-12T10:10:33.368191Z","shell.execute_reply.started":"2022-08-12T10:10:33.295711Z","shell.execute_reply":"2022-08-12T10:10:33.367053Z"},"trusted":true},"execution_count":null,"outputs":[]}]}