{"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"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":29653,"databundleVersionId":2420395,"sourceType":"competition"}],"dockerImageVersionId":30120,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"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)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\n'''import os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))'''\n\n# You can write up to 20GB 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","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2021-08-03T15:01:03.39933Z","iopub.execute_input":"2021-08-03T15:01:03.399602Z","iopub.status.idle":"2021-08-03T15:01:03.413254Z","shell.execute_reply.started":"2021-08-03T15:01:03.399542Z","shell.execute_reply":"2021-08-03T15:01:03.412365Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import seaborn as sns\nimport matplotlib.pyplot as plt","metadata":{"execution":{"iopub.status.busy":"2021-08-03T15:02:17.210989Z","iopub.execute_input":"2021-08-03T15:02:17.211322Z","iopub.status.idle":"2021-08-03T15:02:17.215622Z","shell.execute_reply.started":"2021-08-03T15:02:17.211275Z","shell.execute_reply":"2021-08-03T15:02:17.213915Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"data_folder = \"/kaggle/input/rsna-miccai-brain-tumor-radiogenomic-classification\"","metadata":{"execution":{"iopub.status.busy":"2021-08-03T15:01:03.414831Z","iopub.execute_input":"2021-08-03T15:01:03.415554Z","iopub.status.idle":"2021-08-03T15:01:03.422592Z","shell.execute_reply.started":"2021-08-03T15:01:03.415514Z","shell.execute_reply":"2021-08-03T15:01:03.42169Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"labels = pd.read_csv(f\"{data_folder}/train_labels.csv\")","metadata":{"execution":{"iopub.status.busy":"2021-08-03T15:01:12.518951Z","iopub.execute_input":"2021-08-03T15:01:12.519349Z","iopub.status.idle":"2021-08-03T15:01:12.610872Z","shell.execute_reply.started":"2021-08-03T15:01:12.519276Z","shell.execute_reply":"2021-08-03T15:01:12.609917Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"labels","metadata":{"execution":{"iopub.status.busy":"2021-08-03T15:01:15.875235Z","iopub.execute_input":"2021-08-03T15:01:15.875719Z","iopub.status.idle":"2021-08-03T15:01:15.898158Z","shell.execute_reply.started":"2021-08-03T15:01:15.875682Z","shell.execute_reply":"2021-08-03T15:01:15.897161Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sns.countplot(x = 'MGMT_value',data =labels)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2021-08-03T15:02:21.629996Z","iopub.execute_input":"2021-08-03T15:02:21.630351Z","iopub.status.idle":"2021-08-03T15:02:21.735414Z","shell.execute_reply.started":"2021-08-03T15:02:21.630314Z","shell.execute_reply":"2021-08-03T15:02:21.734457Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}