{
  "id": 197988,
  "title": "TFRecords to Pandas.core.DataFrame",
  "url": "/competitions/tpu-getting-started/discussion/197988",
  "author_name": "Divyosmi Goswami",
  "post_date": "2020-11-19T06:12:47.095000",
  "votes": 3,
  "comment_count": 4,
  "views": null,
  "content": "<p>I want to convert the Prefetch data set into pandas data frame to do eda. How may I convert it?</p>",
  "messages": [
    {
      "id": 1083585,
      "postDate": "2020-11-19T06:12:47.097Z",
      "content": "<p>I want to convert the Prefetch data set into pandas data frame to do eda. How may I convert it?</p>",
      "rawMarkdown": "I want to convert the Prefetch data set into pandas data frame to do eda. How may I convert it?",
      "votes": 3
    },
    {
      "id": 1084974,
      "postDate": "2020-11-20T15:10:17.583Z",
      "content": "<p><a href=\"https://www.kaggle.com/divyosmi2009\" target=\"_blank\">@divyosmi2009</a> Here is how you will convert TFRecords to Pandas dataFrame</p>\n<p>pandas_tfrecords.tfrecords_to_pandas(file_paths, schema=None, compression_type='auto', cast=True)</p>\n<p>Kindly check the below link for more information and details regarding the same </p>\n<p><a href=\"https://pypi.org/project/pandas-tfrecords/\" target=\"_blank\">https://pypi.org/project/pandas-tfrecords/</a></p>",
      "rawMarkdown": "@divyosmi2009 Here is how you will convert TFRecords to Pandas dataFrame\n\npandas_tfrecords.tfrecords_to_pandas(file_paths, schema=None, compression_type='auto', cast=True)\n\nKindly check the below link for more information and details regarding the same \n\nhttps://pypi.org/project/pandas-tfrecords/",
      "votes": 1,
      "replies": [
        {
          "id": 1085072,
          "postDate": "2020-11-20T16:45:21.107Z",
          "content": "<p>Thank you mam but the file must be saved on your cloud or device to use the following library how may I save the tfrecords from kaggle/input to kaggle/output.</p>",
          "rawMarkdown": "Thank you mam but the file must be saved on your cloud or device to use the following library how may I save the tfrecords from kaggle/input to kaggle/output.",
          "votes": 1
        },
        {
          "id": 1085209,
          "postDate": "2020-11-20T18:51:37.640Z",
          "content": "<p><a href=\"https://www.kaggle.com/divyosmi2009\" target=\"_blank\">@divyosmi2009</a> Can you please let me know why you wanted to convert TFRecords to pandas dataFrame . It will help me understand the context better to answer your queries . </p>",
          "rawMarkdown": "@divyosmi2009 Can you please let me know why you wanted to convert TFRecords to pandas dataFrame . It will help me understand the context better to answer your queries . ",
          "votes": 1
        },
        {
          "id": 1085751,
          "postDate": "2020-11-21T07:11:28.600Z",
          "content": "<p>Because it is easier to do EDA on Dataframe than on tfrecord and it will also help me to get and give better insights of the Data</p>",
          "rawMarkdown": "Because it is easier to do EDA on Dataframe than on tfrecord and it will also help me to get and give better insights of the Data",
          "votes": 1
        }
      ]
    }
  ],
  "comments": [
    {
      "id": 1084974,
      "author_name": "Tensor Girl",
      "author_url": "",
      "post_date": "2020-11-20T15:10:17.583000",
      "content": "<p><a href=\"https://www.kaggle.com/divyosmi2009\" target=\"_blank\">@divyosmi2009</a> Here is how you will convert TFRecords to Pandas dataFrame</p>\n<p>pandas_tfrecords.tfrecords_to_pandas(file_paths, schema=None, compression_type='auto', cast=True)</p>\n<p>Kindly check the below link for more information and details regarding the same </p>\n<p><a href=\"https://pypi.org/project/pandas-tfrecords/\" target=\"_blank\">https://pypi.org/project/pandas-tfrecords/</a></p>",
      "votes": 1,
      "replies": [
        {
          "id": 1085072,
          "author_name": "Divyosmi Goswami",
          "author_url": "",
          "post_date": "2020-11-20T16:45:21.107000",
          "content": "<p>Thank you mam but the file must be saved on your cloud or device to use the following library how may I save the tfrecords from kaggle/input to kaggle/output.</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1085209,
          "author_name": "Tensor Girl",
          "author_url": "",
          "post_date": "2020-11-20T18:51:37.640000",
          "content": "<p><a href=\"https://www.kaggle.com/divyosmi2009\" target=\"_blank\">@divyosmi2009</a> Can you please let me know why you wanted to convert TFRecords to pandas dataFrame . It will help me understand the context better to answer your queries . </p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 1085751,
          "author_name": "Divyosmi Goswami",
          "author_url": "",
          "post_date": "2020-11-21T07:11:28.600000",
          "content": "<p>Because it is easier to do EDA on Dataframe than on tfrecord and it will also help me to get and give better insights of the Data</p>",
          "votes": 1,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1083585": "I want to convert the Prefetch data set into pandas data frame to do eda. How may I convert it?",
    "1084974": "@divyosmi2009 Here is how you will convert TFRecords to Pandas dataFrame\n\npandas_tfrecords.tfrecords_to_pandas(file_paths, schema=None, compression_type='auto', cast=True)\n\nKindly check the below link for more information and details regarding the same \n\nhttps://pypi.org/project/pandas-tfrecords/"
  }
}