{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np\nimport pandas as pd \n\ndef submit_class(c_i):\n    sample_sub = pd.read_csv('/kaggle/input/cassava-leaf-disease-classification/sample_submission.csv')\n\n    nrows = sample_sub.shape[0]\n    preds = [c_i for i in range(nrows)]\n\n    my_submission = pd.DataFrame({'image_id': sample_sub.image_id, 'label': preds})\n    my_submission.to_csv('/kaggle/working/submission.csv', index=False)\n    \nsubmit_class(1)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","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}