{"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 # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport shutil\nimport random\nimport os\n\n# You can write up to 5GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"train_csv = pd.read_csv('../input/rsna-str-pulmonary-embolism-detection/train.csv')\ntest_csv = pd.read_csv('../input/rsna-str-pulmonary-embolism-detection/test.csv')\n\nprint(train_csv.shape)\nprint(test_csv.shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"train_csv.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"test_csv.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"tr_si_list = list(train_csv['StudyInstanceUID'].unique())\nte_si_list = list(test_csv['StudyInstanceUID'].unique())\n\nprint(tr_si_list[:10])\nprint(te_si_list[:10])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"copy_train_si = random.sample(tr_si_list, 5)\ncopy_test_si = random.sample(te_si_list, 2)\n\nprint(len(copy_train_si))\nprint(len(copy_test_si))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"os.mkdir('../working/train')\nos.mkdir('../working/test')","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# train\ni=0\nfor folder in copy_train_si:\n    src='../input/rsna-str-pulmonary-embolism-detection/train/'+folder+'/'\n    dst='../working/train/'+folder+'/'\n    shutil.copytree(src, dst)\n    i+=1\n    print(i)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"# train\nj=0\nfor folder in copy_test_si:\n    src='../input/rsna-str-pulmonary-embolism-detection/test/'+folder+'/'\n    dst='../working/test/'+folder+'/'\n    shutil.copytree(src, dst)\n    j+=1\n    print(j)","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}