{
  "id": 175061,
  "title": "How to read the file created by notebook once it completes it execution",
  "url": "/competitions/osic-pulmonary-fibrosis-progression/discussion/175061",
  "author_name": "",
  "post_date": "2020-08-17T02:18:29.760292200Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I committed a notebook and it created a file that I created using to_csv(…) &gt; I can see the file. How can  I read this file in a notebook in Kaggle?</p>",
  "messages": [
    {
      "id": "972966",
      "postDate": "08/17/2020 02:18:29",
      "content": "<p>I committed a notebook and it created a file that I created using to_csv(…) &gt; I can see the file. How can  I read this file in a notebook in Kaggle?</p>",
      "rawMarkdown": "I committed a notebook and it created a file that I created using to_csv(...) > I can see the file. How can  I read this file in a notebook in Kaggle?",
      "votes": null
    },
    {
      "id": "973007",
      "postDate": "08/17/2020 03:13:35",
      "content": "<p>If it's locally that you want to use that file you could download it. Otherwise the outputs from a notebook can be saved as a datastet and loaded into whatever kaggle notebook that you want to use it in. and if you're trying to use the output from to_csv within the same notebook just use the name of the csv file. eg. if you saved by to_csv('submission.csv') then it gets saved in the kaggle/working directory. so you can read it in the very next line using pd.read_csv('submission.csv')</p>",
      "rawMarkdown": "If it's locally that you want to use that file you could download it. Otherwise the outputs from a notebook can be saved as a datastet and loaded into whatever kaggle notebook that you want to use it in. and if you're trying to use the output from to_csv within the same notebook just use the name of the csv file. eg. if you saved by to_csv('submission.csv') then it gets saved in the kaggle/working directory. so you can read it in the very next line using pd.read_csv('submission.csv')",
      "votes": null
    },
    {
      "id": "973053",
      "postDate": "08/17/2020 04:37:47",
      "content": "<p>You can download the file and run it in your Jupyter Notebook :)</p>",
      "rawMarkdown": "You can download the file and run it in your Jupyter Notebook :)",
      "votes": null
    },
    {
      "id": "973087",
      "postDate": "08/17/2020 05:11:29",
      "content": "<p>You can read the file using pd.read_csv(...)  </p>",
      "rawMarkdown": "You can read the file using pd.read_csv(...)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 973007,
      "author_name": "jonykarki",
      "author_url": "",
      "post_date": "08/17/2020 03:13:35",
      "content": "<p>If it's locally that you want to use that file you could download it. Otherwise the outputs from a notebook can be saved as a datastet and loaded into whatever kaggle notebook that you want to use it in. and if you're trying to use the output from to_csv within the same notebook just use the name of the csv file. eg. if you saved by to_csv('submission.csv') then it gets saved in the kaggle/working directory. so you can read it in the very next line using pd.read_csv('submission.csv')</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 973053,
      "author_name": "aishu2218",
      "author_url": "",
      "post_date": "08/17/2020 04:37:47",
      "content": "<p>You can download the file and run it in your Jupyter Notebook :)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 973087,
      "author_name": "kaungmyatkyaw",
      "author_url": "",
      "post_date": "08/17/2020 05:11:29",
      "content": "<p>You can read the file using pd.read_csv(...)  </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "972966": "I committed a notebook and it created a file that I created using to_csv(...) > I can see the file. How can  I read this file in a notebook in Kaggle?",
    "973007": "If it's locally that you want to use that file you could download it. Otherwise the outputs from a notebook can be saved as a datastet and loaded into whatever kaggle notebook that you want to use it in. and if you're trying to use the output from to_csv within the same notebook just use the name of the csv file. eg. if you saved by to_csv('submission.csv') then it gets saved in the kaggle/working directory. so you can read it in the very next line using pd.read_csv('submission.csv')",
    "973053": "You can download the file and run it in your Jupyter Notebook :)",
    "973087": "You can read the file using pd.read_csv(...)"
  },
  "source": "meta"
}