{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"SUB =  pd.read_csv(\"../input/osic-pulmonary-fibrosis-progression/sample_submission.csv\")\nMY_SUB = pd.read_csv(\"../input/fibrose-zefir/submission.csv\")\nTEST = pd.read_csv(\"../input/osic-pulmonary-fibrosis-progression/test.csv\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"PACIENT = TEST[\"Patient\"].unique()\nTRAIN_NEW = pd.DataFrame()\nfor ID in PACIENT:\n    data = TEST[TEST.Patient == ID].copy()\n    data.reset_index(inplace=True,drop=True)\n    data = data[:1]\n    r = range(-12,134)\n    count_week = len(r)\n    data = data.loc[data.index.repeat(count_week)].reset_index(drop=True)\n    week_predict = [i for i in r]\n    data[\"week_predict\"] = week_predict\n    TRAIN_NEW = pd.concat([TRAIN_NEW, data], ignore_index=True)\nTEST = TRAIN_NEW\nTEST['Patient_Week'] = TEST.agg('{0[Patient]}_{0[week_predict]}'.format, axis=1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# SUB2 = pd.merge(TEST, MY_SUB, on='Patient_Week', how='left')\n# SUB2[[\"FVC\",\"Confidence\"]] = SUB2[[\"FVC_y\",\"Confidence\"]]\n# SUB2 = SUB2[[\"Patient_Week\",\"FVC\",\"Confidence\"]]\n# SUB2[\"Confidence\"]=200\n# SUB2.loc[SUB2[\"FVC\"]<2000,[\"FVC\"]]=2000","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"SUB2 = pd.merge(SUB, MY_SUB, on='Patient_Week', how='left')\nSUB2[[\"FVC\",\"Confidence\"]] = SUB2[[\"FVC_y\",\"Confidence_y\"]]\nSUB2 = SUB2[[\"Patient_Week\",\"FVC\",\"Confidence\"]]\nSUB2[\"Confidence\"]=100\nSUB2[\"FVC\"]=2000","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"SUB2.to_csv(\"submission.csv\", index=False)","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}