{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"0c3b1d0e-e02f-1f8e-ea45-f975067bd4ea"},"outputs":[],"source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\ntrain = pd.read_csv('../input/Train/train.csv')\ndf = pd.read_csv('../input/Test/0.jpg')\nsubmission = pd.read_csv('../input/sample_submission.csv')"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"a894450f-2283-61d3-6ac3-2184c231d339"},"outputs":[],"source":"len(train)"},{"cell_type":"code","execution_count":null,"metadata":{"_cell_guid":"d020e862-664a-246e-ffe5-5b0f85d97143"},"outputs":[],"source":"mean_std = 0.94*train.mean(axis=0) - 0.12*train.std(axis=0)\nprint(mean_std)\n\nmean_std['adult_males'] = mean_std['adult_males'].mean()+1\nmean_std['subadult_males'] = mean_std['subadult_males'].mean()+1\nmean_std['adult_females'] = mean_std['adult_females'].mean()-9\nmean_std['juveniles'] = mean_std['juveniles'].mean()+3\nmean_std['pups'] = mean_std['pups'].mean()\n\nfor c in submission.columns:\n    if c != 'test_id':\n        submission[c] = int(mean_std[c])\nsubmission.to_csv('submission.csv', index=False)\nprint( submission.head(10) )"}],"metadata":{"_change_revision":0,"_is_fork":false,"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.0"}},"nbformat":4,"nbformat_minor":0}