{"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_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\nimport 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":"2022-07-15T15:39:13.655284Z","iopub.execute_input":"2022-07-15T15:39:13.656236Z","iopub.status.idle":"2022-07-15T15:39:13.674322Z","shell.execute_reply.started":"2022-07-15T15:39:13.656187Z","shell.execute_reply":"2022-07-15T15:39:13.672348Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"file_test = pd.read_csv(\"../input/spaceship-titanic/train.csv\")\nfile_test.head()","metadata":{"execution":{"iopub.status.busy":"2022-07-15T16:21:45.560681Z","iopub.execute_input":"2022-07-15T16:21:45.561096Z","iopub.status.idle":"2022-07-15T16:21:45.629358Z","shell.execute_reply.started":"2022-07-15T16:21:45.561062Z","shell.execute_reply":"2022-07-15T16:21:45.628255Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission = pd.DataFrame(columns=[\"PassengerId\",\"Transported\"])\nsubmission[\"PassengerId\"] = file_test.PassengerId\nsubmission.set_index('PassengerId')\nsubmission.Transported = file_test.Destination.apply(lambda a: True if pd.isnull(a) else False)\nsubmission.to_csv('submission.csv', index=False)\n# file_test.Destination.apply(lambda a: True if pd.isnull(a) else False)\n# file_test[\"PassengerId\"][(file_test.VIP==True) & (file_test.Transported==True)]","metadata":{"execution":{"iopub.status.busy":"2022-07-15T16:21:50.884992Z","iopub.execute_input":"2022-07-15T16:21:50.885372Z","iopub.status.idle":"2022-07-15T16:21:50.921628Z","shell.execute_reply.started":"2022-07-15T16:21:50.885343Z","shell.execute_reply":"2022-07-15T16:21:50.920811Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}