{
  "id": 46207,
  "title": "Using zipped file on Kaggle Kernels",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/46207",
  "author_name": "",
  "post_date": "2017-12-22T15:08:44.074021500Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi,</p>\n\n<p>I was trying to run a kernel which required the data from this competition. However, the provided data are zipped as 7z. How can I use them directly? I do not want to upload the unzipped data.</p>\n\n<p>Regards,\nMd</p>",
  "messages": [
    {
      "id": "261404",
      "postDate": "12/22/2017 15:08:44",
      "content": "<p>Hi,</p>\n\n<p>I was trying to run a kernel which required the data from this competition. However, the provided data are zipped as 7z. How can I use them directly? I do not want to upload the unzipped data.</p>\n\n<p>Regards,\nMd</p>",
      "rawMarkdown": "Hi,\n\nI was trying to run a kernel which required the data from this competition. However, the provided data are zipped as 7z. How can I use them directly? I do not want to upload the unzipped data.\n\nRegards,\nMd",
      "votes": null
    },
    {
      "id": "261653",
      "postDate": "12/23/2017 11:48:23",
      "content": "<p>Hello,\nWith Python/Pandas *pd.read_csv*, you should use the <em>filename.csv.gz</em> and parameter <em>compression='gzip'</em>.\nBest regards, Eric</p>",
      "rawMarkdown": "Hello,\nWith Python/Pandas *pd.read_csv*, you should use the *filename.csv.gz* and parameter *compression='gzip'*.\nBest regards, Eric",
      "votes": null
    },
    {
      "id": "316536",
      "postDate": "04/19/2018 09:47:45",
      "content": "<p>what solution did you arrive at ? did you upload the decompressed csv ?? </p>",
      "rawMarkdown": "what solution did you arrive at ? did you upload the decompressed csv ??",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 261653,
      "author_name": "a45632",
      "author_url": "",
      "post_date": "12/23/2017 11:48:23",
      "content": "<p>Hello,\nWith Python/Pandas *pd.read_csv*, you should use the <em>filename.csv.gz</em> and parameter <em>compression='gzip'</em>.\nBest regards, Eric</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 316536,
      "author_name": "fabulinus",
      "author_url": "",
      "post_date": "04/19/2018 09:47:45",
      "content": "<p>what solution did you arrive at ? did you upload the decompressed csv ?? </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "261404": "Hi,\n\nI was trying to run a kernel which required the data from this competition. However, the provided data are zipped as 7z. How can I use them directly? I do not want to upload the unzipped data.\n\nRegards,\nMd",
    "261653": "Hello,\nWith Python/Pandas *pd.read_csv*, you should use the *filename.csv.gz* and parameter *compression='gzip'*.\nBest regards, Eric",
    "316536": "what solution did you arrive at ? did you upload the decompressed csv ??"
  },
  "source": "meta"
}