{
  "id": 134291,
  "title": "Read Only folder",
  "url": "/competitions/ds4g-environmental-insights-explorer/discussion/134291",
  "author_name": "",
  "post_date": "2020-03-07T06:28:58.212336600Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi @paultimothymooney,\n I am trying to test my code in Kaggle Kernel. While writing to the output folder I am receiving the Read only error on folder I created. Please suggest how I can make the output directory as read write.</p>\n\n<p>[Errno 30] Read-only file system: '/kaggle/input/output/Region/'</p>\n\n<p>Thanks in advance\nBilwanath</p>",
  "messages": [
    {
      "id": "765817",
      "postDate": "03/07/2020 06:28:58",
      "content": "<p>Hi @paultimothymooney,\n I am trying to test my code in Kaggle Kernel. While writing to the output folder I am receiving the Read only error on folder I created. Please suggest how I can make the output directory as read write.</p>\n\n<p>[Errno 30] Read-only file system: '/kaggle/input/output/Region/'</p>\n\n<p>Thanks in advance\nBilwanath</p>",
      "rawMarkdown": "Hi @paultimothymooney,\n I am trying to test my code in Kaggle Kernel. While writing to the output folder I am receiving the Read only error on folder I created. Please suggest how I can make the output directory as read write.\n\n[Errno 30] Read-only file system: '/kaggle/input/output/Region/'\n\nThanks in advance\nBilwanath",
      "votes": null
    },
    {
      "id": "766086",
      "postDate": "03/07/2020 16:45:11",
      "content": "<p>Please ignore above message. I was able to write output to /kaggle/working folder.</p>",
      "rawMarkdown": "Please ignore above message. I was able to write output to /kaggle/working folder.",
      "votes": null
    },
    {
      "id": "766313",
      "postDate": "03/08/2020 01:33:46",
      "content": "<p>Glad you got it to work, and, yes, if you want to save files to the output section of your Kaggle notebook then you will need to save the files to \"/kaggle/working/\".  You can save 5GB of files to the output section of your notebook for every version of your notebook, and you can convert notebook output files to datasets with a click of a button.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1314380%2Fd2534cb064feb0876d585687727e5fa3%2FScreen%20Shot%202020-03-07%20at%206.33.11%20PM.png?generation=1583631204446897&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Glad you got it to work, and, yes, if you want to save files to the output section of your Kaggle notebook then you will need to save the files to \"/kaggle/working/\".  You can save 5GB of files to the output section of your notebook for every version of your notebook, and you can convert notebook output files to datasets with a click of a button.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1314380%2Fd2534cb064feb0876d585687727e5fa3%2FScreen%20Shot%202020-03-07%20at%206.33.11%20PM.png?generation=1583631204446897&amp;alt=media)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 766086,
      "author_name": "nagabilwanth",
      "author_url": "",
      "post_date": "03/07/2020 16:45:11",
      "content": "<p>Please ignore above message. I was able to write output to /kaggle/working folder.</p>",
      "votes": null,
      "replies": [
        {
          "id": 766313,
          "author_name": "paultimothymooney",
          "author_url": "",
          "post_date": "03/08/2020 01:33:46",
          "content": "<p>Glad you got it to work, and, yes, if you want to save files to the output section of your Kaggle notebook then you will need to save the files to \"/kaggle/working/\".  You can save 5GB of files to the output section of your notebook for every version of your notebook, and you can convert notebook output files to datasets with a click of a button.</p>\n\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1314380%2Fd2534cb064feb0876d585687727e5fa3%2FScreen%20Shot%202020-03-07%20at%206.33.11%20PM.png?generation=1583631204446897&amp;alt=media\" alt=\"\"></p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "765817": "Hi @paultimothymooney,\n I am trying to test my code in Kaggle Kernel. While writing to the output folder I am receiving the Read only error on folder I created. Please suggest how I can make the output directory as read write.\n\n[Errno 30] Read-only file system: '/kaggle/input/output/Region/'\n\nThanks in advance\nBilwanath",
    "766086": "Please ignore above message. I was able to write output to /kaggle/working folder.",
    "766313": "Glad you got it to work, and, yes, if you want to save files to the output section of your Kaggle notebook then you will need to save the files to \"/kaggle/working/\".  You can save 5GB of files to the output section of your notebook for every version of your notebook, and you can convert notebook output files to datasets with a click of a button.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1314380%2Fd2534cb064feb0876d585687727e5fa3%2FScreen%20Shot%202020-03-07%20at%206.33.11%20PM.png?generation=1583631204446897&amp;alt=media)"
  },
  "source": "meta"
}