{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":71549,"databundleVersionId":8561470,"sourceType":"competition"},{"sourceId":211952941,"sourceType":"kernelVersion"}],"dockerImageVersionId":30822,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import pandas as pd\n\n# 1. CSV dosyasını okuma\ninput_path = \"/kaggle/input/unpretrained-plz-dont-give-any-error-messages/submission.csv\"  # Girdi dosyanızın tam yolunu buraya yazın\ndf = pd.read_csv(input_path)\n\n# 2. Belirli sütunları float32 olarak ayarlama\nfloat_columns = [\"normal_mild\", \"moderate\", \"severe\"]  # Dönüştürülecek sütunlar\ndf[float_columns] = df[float_columns].astype(\"float32\")\n\n# 3. Verileri submission.csv olarak kaydetme\ndf.to_csv(\"submission.csv\", index=False)\n\nprint(\"Veriler 'submission.csv' adıyla başarıyla kaydedildi. Belirli sütunlar float32'ye dönüştürüldü.\")\n","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-01-03T18:17:39.834094Z","iopub.execute_input":"2025-01-03T18:17:39.834568Z","iopub.status.idle":"2025-01-03T18:17:39.861705Z","shell.execute_reply.started":"2025-01-03T18:17:39.834534Z","shell.execute_reply":"2025-01-03T18:17:39.860531Z"}},"outputs":[],"execution_count":null}]}