{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":24800,"databundleVersionId":1831594,"sourceType":"competition"}],"dockerImageVersionId":30804,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport zipfile\nfrom pathlib import Path\n\ninput_dir = Path(\"/kaggle/input/vinbigdata-chest-xray-abnormalities-detection/train\")\noutput_dir = Path(\"/kaggle/working/first_100_images\")\noutput_zip = Path(\"/kaggle/working/first_100_images.zip\")\n\noutput_dir.mkdir(exist_ok=True)\n\ndicom_files = sorted(input_dir.glob(\"*.dicom\"))[:100]\n\nfor file in dicom_files:\n    dest = output_dir / file.name\n    dest.write_bytes(file.read_bytes())\n\nwith zipfile.ZipFile(output_zip, \"w\") as zipf:\n    for file in output_dir.iterdir():\n        zipf.write(file, arcname=file.name)\n\nprint(f\"First 100 images are zipped and available for download: {output_zip}\")\n","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2024-12-04T09:03:47.464021Z","iopub.execute_input":"2024-12-04T09:03:47.465021Z","iopub.status.idle":"2024-12-04T09:03:52.942486Z","shell.execute_reply.started":"2024-12-04T09:03:47.464972Z","shell.execute_reply":"2024-12-04T09:03:52.940969Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"from IPython.display import FileLink\n\nFileLink('first_100_images.zip')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-04T09:04:05.516682Z","iopub.execute_input":"2024-12-04T09:04:05.517818Z","iopub.status.idle":"2024-12-04T09:04:05.524864Z","shell.execute_reply.started":"2024-12-04T09:04:05.517772Z","shell.execute_reply":"2024-12-04T09:04:05.523824Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import pandas as pd\n\ntrain = pd.read_csv(\"/kaggle/input/vinbigdata-chest-xray-abnormalities-detection/train.csv\")\ntrain.to_csv(\"train.csv\")","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-04T08:59:53.409207Z","iopub.execute_input":"2024-12-04T08:59:53.410377Z","iopub.status.idle":"2024-12-04T08:59:53.879544Z","shell.execute_reply.started":"2024-12-04T08:59:53.410317Z","shell.execute_reply":"2024-12-04T08:59:53.87836Z"}},"outputs":[],"execution_count":null}]}