{"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 # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nsample_sub = pd.read_csv('../input/hubmap-kidney-segmentation/sample_submission.csv', index_col='id')\nsubmission = pd.read_csv('../input/my-csv-outputs/d488c759a_single_mask.csv', index_col='id')","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission.index.values","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pub_ids = submission.index.values\npredictions = submission.values\n# sample_sub.loc[pub_ids[4]] = predictions[4]\nsample_sub.loc[pub_ids] = predictions\nsample_sub.to_csv('submission.csv')\n","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sample_sub","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}