{
  "id": 332579,
  "title": "Access to Parquet/Feather data",
  "url": "/competitions/amex-default-prediction/discussion/332579",
  "author_name": "",
  "post_date": "2022-06-22T12:28:14.693572300Z",
  "votes": 1,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hello! I am fairly new to Kaggle. It's impossible to work with CSV files given the data size. But I see in other user's notebooks around here that they make use of other formats. Parquet and feather. And they even give some paths to those files. But I have no idea where they got those. I don't have that stuff in my storage. </p>\n<p>Can anyone help me get out of this pickle?</p>",
  "messages": [
    {
      "id": "1829191",
      "postDate": "06/22/2022 12:28:14",
      "content": "<p>Hello! I am fairly new to Kaggle. It's impossible to work with CSV files given the data size. But I see in other user's notebooks around here that they make use of other formats. Parquet and feather. And they even give some paths to those files. But I have no idea where they got those. I don't have that stuff in my storage. </p>\n<p>Can anyone help me get out of this pickle?</p>",
      "rawMarkdown": "Hello! I am fairly new to Kaggle. It's impossible to work with CSV files given the data size. But I see in other user's notebooks around here that they make use of other formats. Parquet and feather. And they even give some paths to those files. But I have no idea where they got those. I don't have that stuff in my storage. \n\nCan anyone help me get out of this pickle?",
      "votes": null
    },
    {
      "id": "1829194",
      "postDate": "06/22/2022 12:32:17",
      "content": "<p>Hi. these data are generated by kagglers and are not part of original dataset( which is CSV); You have to download manually parquet/feather files</p>",
      "rawMarkdown": "Hi. these data are generated by kagglers and are not part of original dataset( which is CSV); You have to download manually parquet/feather files",
      "votes": null
    },
    {
      "id": "1829242",
      "postDate": "06/22/2022 13:26:47",
      "content": "<p>You can add them to your notebook by following these steps:</p>\n<ol>\n<li>Open your notebook</li>\n<li>Click on top right the button \"Add Data\"</li>\n<li>Into the Field \"Search Datasets\" type: AMEX</li>\n<li>Choose which dataset you want with which format and press \"Add\"</li>\n</ol>\n<p>Now you can import the files via e.g.: <code>pd.read_feather(\"../input/amexfeather/train_data.ftr\")</code></p>",
      "rawMarkdown": "You can add them to your notebook by following these steps:\n\n1. Open your notebook\n2. Click on top right the button \"Add Data\"\n3. Into the Field \"Search Datasets\" type: AMEX\n4. Choose which dataset you want with which format and press \"Add\"\n\nNow you can import the files via e.g.: `pd.read_feather(\"../input/amexfeather/train_data.ftr\")`",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1829194,
      "author_name": "raddar",
      "author_url": "",
      "post_date": "06/22/2022 12:32:17",
      "content": "<p>Hi. these data are generated by kagglers and are not part of original dataset( which is CSV); You have to download manually parquet/feather files</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1829242,
      "author_name": "aliabdin1",
      "author_url": "",
      "post_date": "06/22/2022 13:26:47",
      "content": "<p>You can add them to your notebook by following these steps:</p>\n<ol>\n<li>Open your notebook</li>\n<li>Click on top right the button \"Add Data\"</li>\n<li>Into the Field \"Search Datasets\" type: AMEX</li>\n<li>Choose which dataset you want with which format and press \"Add\"</li>\n</ol>\n<p>Now you can import the files via e.g.: <code>pd.read_feather(\"../input/amexfeather/train_data.ftr\")</code></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1829191": "Hello! I am fairly new to Kaggle. It's impossible to work with CSV files given the data size. But I see in other user's notebooks around here that they make use of other formats. Parquet and feather. And they even give some paths to those files. But I have no idea where they got those. I don't have that stuff in my storage. \n\nCan anyone help me get out of this pickle?",
    "1829194": "Hi. these data are generated by kagglers and are not part of original dataset( which is CSV); You have to download manually parquet/feather files",
    "1829242": "You can add them to your notebook by following these steps:\n\n1. Open your notebook\n2. Click on top right the button \"Add Data\"\n3. Into the Field \"Search Datasets\" type: AMEX\n4. Choose which dataset you want with which format and press \"Add\"\n\nNow you can import the files via e.g.: `pd.read_feather(\"../input/amexfeather/train_data.ftr\")`"
  },
  "source": "meta"
}