title: Python: json_normalize a pandas series gives TypeError
body: <p>I have tens of thousands rows of json snippets like this in a pandas series <code>df["json"]</code></p>
  
  <pre><code>[{
      'IDs': [{
          'lotId': '1',
          'Id': '123456'
      }],
      'date': '2009-04-17',
      'bidsCount': 2,
  }, {
      'IDs': [{
          'lotId': '2',
          'Id': '123456'
      }],
      'date': '2009-04-17',
      'bidsCount': 4,
  }, {
      'IDs': [{
           'lotId': '3',
           'Id': '123456'
      }],
      'date': '2009-04-17',
      'bidsCount': 8,
  }]
  </code></pre>
  
  <p>Sample of the original file:</p>
  
  <pre><code>{"type": "OPEN","title": "rainbow","json": [{"IDs": [{"lotId": "1","Id": "123456"}],"date": "2009-04-17","bidsCount": 2,}, {"IDs": [{"lotId": "2","Id": "123456"}],"date": "2009-04-17","bidsCount": 4,}, {"IDs": [{"lotId": "3","Id": "123456"}],"date": "2009-04-17","bidsCount": 8,}]}
  {"type": "CLOSED","title": "clouds","json": [{"IDs": [{"lotId": "1","Id": "23345"}],"date": "2009-05-17","bidsCount": 2,}, {"IDs": [{"lotId": "2","Id": "23345"}],"date": "2009-05-17","bidsCount": 4,}, {"IDs": [{"lotId": "3","Id": "23345"}],"date": "2009-05-17","bidsCount": 8,}]}
  
  
  df = pd.read_json("file.json", lines=True)
  </code></pre>
  
  <p>I am trying to make them into a data frame, something like</p>
  
  <pre><code>Id      lotId      bidsCount    date
  123456  1          2            2009-04-17
  123456  2          4            2009-04-17
  123456  3          8            2009-04-17
  </code></pre>
  
  <p>by using </p>
  
  <p><code>json_normalize(df["json"])</code></p>
  
  <p>However I get</p>
  
  <p><code>AttributeError: 'list' object has no attribute 'values'</code></p>
  
  <p>I guess the json snippet is seen as a list, however I can not figure out how to make it work otherwise.
  Help appreciated!</p>