title: Convert geojson to dataframe in Python
body: <p>I have a file that looks like this:</p>
  <pre><code>[{u'geometry': {u'coordinates': [[[u'23.514690935490876',
        u'53.946715071429367'],
       [u'23.512760416665913', u'53.951647949218227'],
       [u'23.504458179704329', u'53.948463039349463'],
       [u'23.504036155000108', u'53.947045080000237'],
       [u'23.514690935490876', u'53.946715071429367']]],
     u'type': u'Polygon'},
    u'id': u'1',
    u'properties': {u'Id': u'1989436',
    u'OBJECTID': u'1',
    u'Shape_Area': u'3.117488307172805e-05',
    u'Shape_Length': u'0.026328682437290335',
    u'gridcode': u'2'},
    u'type': u'Feature'},
  {u'geometry': {u'coordinates': [[[u'23.549827385369554',
      u'53.942282407709513'],
      [u'23.547151692707644', u'53.951826985676632'],
      [u'23.53984374999925', u'53.944519042968238'],
      [u'23.544863781644892', u'53.943109170298612'],
      [u'23.549827385369554', u'53.942282407709513']]],
     u'type': u'Polygon'},
     u'id': u'2',
     u'properties': {u'Id': u'1989437',
     u'OBJECTID': u'2',
     u'Shape_Area': u'4.6076356255779675e-05',
     u'Shape_Length': u'0.030493766995691507',
     u'gridcode': u'5'},
     u'type': u'Feature'},
     ...
  </code></pre>
  <p>I am trying to create a dataframe. I tried using this:</p>
  <pre><code> from pandas.io.json import json_normalize
  
   df_norm = json_normalize(json_data[&quot;geometry&quot;])
  </code></pre>
  <p>But I get an error that this is a string:</p>
  <pre><code> &quot;TypeError: list indices must be integers, not str
  </code></pre>
  <p>I can convert it to the other format, but what would be the right type and the right approach?</p>
  <p>Thanks!</p>