{"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 pandas as pd\nimport numpy as np\n\ns = ['0.0', '1.0', '1.0', '0.0', '1.0', '1.0', '0.0', '1.0', '0.0', '1.0', '0.0', '1.0', '1.0', '0.0', '0.0', '0.0', '0.0', '0.0', '0.0', '0.0', '0.0', '1.0', '1.0', '1.0', '1.0', '1.0', '0.0', '0.0', '0.0', '0.0', '0.0', '1.0', '1.0', '1.0', '1.0', '1.0', '0.0', '0.0', '0.0', '0.0', '0.0', '1.0', '1.0', '0.0', '0.0', '1.0', '1.0', '0.0', '0.0', '0.0', '1.0', '0.0', '1.0', '1.0', '0.0', '1.0', '0.0', '0.0', '0.0', '1.0', '0.0', '1.0', '1.0', '1.0', '1.0', '1.0', '1.0', '0.0', '0.0', '0.0', '0.0', '1.0', '1.0', '1.0', '1.0', '1.0', '1.0', '1.0', '1.0', '1.0', '0.0', '1.0', '1.0', '0.0', '0.0', '0.0', '0.0']\nt = ['00001', '00013', '00015', '00027', '00037', '00047', '00079', '00080', '00082', '00091', '00114', '00119', '00125', '00129', '00135', '00145', '00153', '00161', '00163', '00174', '00181', '00182', '00190', '00200', '00208', '00213', '00229', '00252', '00256', '00264', '00287', '00307', '00323', '00333', '00335', '00337', '00355', '00372', '00381', '00384', '00393', '00422', '00428', '00434', '00438', '00447', '00450', '00458', '00460', '00462', '00463', '00467', '00474', '00489', '00492', '00503', '00521', '00535', '00553', '00560', '00573', '00585', '00592', '00595', '00603', '00644', '00647', '00662', '00671', '00681', '00699', '00702', '00712', '00719', '00721', '00749', '00762', '00769', '00779', '00821', '00822', '00825', '00826', '00829', '00833', '00997', '01006']\n\ndf = pd.read_csv('../input/rsna-miccai-brain-tumor-radiogenomic-classification/sample_submission.csv')\ndf['BraTS21ID'] = list(map(int, t))\ndf['MGMT_value'] = np.array(s).astype(np.float32)\ndf.to_csv('submission.csv', index=False)","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-09-10T07:33:02.990752Z","iopub.execute_input":"2021-09-10T07:33:02.991052Z","iopub.status.idle":"2021-09-10T07:33:03.013752Z","shell.execute_reply.started":"2021-09-10T07:33:02.991022Z","shell.execute_reply":"2021-09-10T07:33:03.012707Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"execution":{"iopub.status.busy":"2021-09-10T07:32:51.347969Z","iopub.execute_input":"2021-09-10T07:32:51.348290Z","iopub.status.idle":"2021-09-10T07:32:51.360279Z","shell.execute_reply.started":"2021-09-10T07:32:51.348259Z","shell.execute_reply":"2021-09-10T07:32:51.358989Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}