{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import numpy as np \nimport pandas as pd ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"FAST_SUB = True\nfast_sub_path = '../input/few-best-public-notebook-and-dataset-ensemb-820612/submission.csv'\nsample_sub_path = '../input/ranzcr-clip-catheter-line-classification/sample_submission.csv'\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# sample_sub_path = '../input/ranzcr-clip-catheter-line-classification/sample_submission.csv'\n# sample_sub = pd.read_csv(sample_sub_path)\n\n# TARGET_COL = sample_sub.columns.to_list()\n\n# TARGET_COL","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"pd.read_csv(sample_sub_path, usecols=[0], index_col=0)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# import numpy as np \n# import pandas as pd \n# import os \n# NUM_TARGET = len(TARGET_COL)#206\n# data_dir = '../input/ranzcr-clip-catheter-line-classification/'\n# df = pd.read_csv(data_dir+'/sample_submission.csv')\n# public_id = list(df['sig_id'].values)\n# df_test = pd.read_csv(data_dir+'/test_features.csv')\n# test_id = list(df_test['sig_id'].values)\n# private_id = list(set(test_id)-set(public_id))\n# df_submit = pd.DataFrame(index = public_id+private_id, columns=TARGET_COL)\n# df_submit.index.name = 'sig_id'\n# df_submit[:] = 0.1 # assign a val to private test set\n# df_predict = pd.read_csv(my_sub)\n# df_submit.loc[df_predict.sig_id,:] = df_predict[TARGET_COL].values\n# df_submit.loc[df_test[df_test.cp_type=='ctl_vehicle'].sig_id]=0\n# df_submit.to_csv('submission.csv',index=True)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# https://www.kaggle.com/underwearfitting/inference-public-only-fast/output#1006689 @paulo pinto\nif FAST_SUB:\n    sample_sub = pd.read_csv(sample_sub_path, usecols=[0], index_col=0)\n    sub_ = pd.read_csv(fast_sub_path).set_index('StudyInstanceUID')\n    fin_sub = sample_sub.join(sub_).fillna(0)\n    fin_sub.to_csv('submission.csv')","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}