{
  "id": 123044,
  "title": "PLayerTrackData Size",
  "url": "/competitions/nfl-playing-surface-analytics/discussion/123044",
  "author_name": "",
  "post_date": "2019-12-24T10:45:04.525315700Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hi everyone, i have some difficulty in uploading the playertrackdata datasets?? because of its size, its takes too much time. any recommendation how to deal with this?</p>",
  "messages": [
    {
      "id": "702159",
      "postDate": "12/24/2019 10:45:04",
      "content": "<p>Hi everyone, i have some difficulty in uploading the playertrackdata datasets?? because of its size, its takes too much time. any recommendation how to deal with this?</p>",
      "rawMarkdown": "Hi everyone, i have some difficulty in uploading the playertrackdata datasets?? because of its size, its takes too much time. any recommendation how to deal with this?",
      "votes": null
    },
    {
      "id": "702236",
      "postDate": "12/24/2019 12:57:34",
      "content": "<p><a href=\"https://www.kaggle.com/jpmiller/using-track-data-with-small-memory\">https://www.kaggle.com/jpmiller/using-track-data-with-small-memory</a></p>",
      "rawMarkdown": "https://www.kaggle.com/jpmiller/using-track-data-with-small-memory",
      "votes": null
    },
    {
      "id": "702279",
      "postDate": "12/24/2019 13:45:55",
      "content": "<p>jpmiller's notebook is a lifesaver, but I changed this line to reduce the memory even more.</p>\n\n<blockquote>\n  <p>track_list.append(chunk)\n  to\n  track_list.append(chunk.sample(frac=samplerate))</p>\n</blockquote>\n\n<p>You can play with different sample rates. </p>",
      "rawMarkdown": "jpmiller's notebook is a lifesaver, but I changed this line to reduce the memory even more.\n\n&gt;track_list.append(chunk)\nto\n&gt;track_list.append(chunk.sample(frac=samplerate))\n\nYou can play with different sample rates.",
      "votes": null
    },
    {
      "id": "702380",
      "postDate": "12/24/2019 16:07:45",
      "content": "<p>Thanks a lot  <a href=\"/vikassingh1996\">@vikassingh1996</a>  just save me  ;)</p>",
      "rawMarkdown": "Thanks a lot  @vikassingh1996  just save me  ;)",
      "votes": null
    },
    {
      "id": "702383",
      "postDate": "12/24/2019 16:08:15",
      "content": "<p>Thanks <a href=\"/ericfreeman\">@ericfreeman</a>  i really apprecited</p>",
      "rawMarkdown": "Thanks @ericfreeman  i really apprecited",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 702236,
      "author_name": "vikassingh1996",
      "author_url": "",
      "post_date": "12/24/2019 12:57:34",
      "content": "<p><a href=\"https://www.kaggle.com/jpmiller/using-track-data-with-small-memory\">https://www.kaggle.com/jpmiller/using-track-data-with-small-memory</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 702380,
          "author_name": "aysheabdelhafez",
          "author_url": "",
          "post_date": "12/24/2019 16:07:45",
          "content": "<p>Thanks a lot  <a href=\"/vikassingh1996\">@vikassingh1996</a>  just save me  ;)</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 702279,
      "author_name": "ericfreeman",
      "author_url": "",
      "post_date": "12/24/2019 13:45:55",
      "content": "<p>jpmiller's notebook is a lifesaver, but I changed this line to reduce the memory even more.</p>\n\n<blockquote>\n  <p>track_list.append(chunk)\n  to\n  track_list.append(chunk.sample(frac=samplerate))</p>\n</blockquote>\n\n<p>You can play with different sample rates. </p>",
      "votes": null,
      "replies": [
        {
          "id": 702383,
          "author_name": "aysheabdelhafez",
          "author_url": "",
          "post_date": "12/24/2019 16:08:15",
          "content": "<p>Thanks <a href=\"/ericfreeman\">@ericfreeman</a>  i really apprecited</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "702159": "Hi everyone, i have some difficulty in uploading the playertrackdata datasets?? because of its size, its takes too much time. any recommendation how to deal with this?",
    "702236": "https://www.kaggle.com/jpmiller/using-track-data-with-small-memory",
    "702279": "jpmiller's notebook is a lifesaver, but I changed this line to reduce the memory even more.\n\n&gt;track_list.append(chunk)\nto\n&gt;track_list.append(chunk.sample(frac=samplerate))\n\nYou can play with different sample rates.",
    "702380": "Thanks a lot  @vikassingh1996  just save me  ;)",
    "702383": "Thanks @ericfreeman  i really apprecited"
  },
  "source": "meta"
}