title: Nested Nested column in Pandas Dataframe
body: <p>Have a nested nested column in a pandas dataframe, which I received after json_normalize the request, looking like this:</p>
  
  <pre><code>  {  
     'Speed':352,
     'type':[  
        {  
           'details':'change\n',
           'id':'3129f48c-23a6-49bd-9854',
           'machine':'logs',
           'Cause':{  
              'code':'051',
              'description':'Error',
              'id':'41827d41-75c5-4c88-9ec3',
              'reason':'Error'
           }
        }
     ],
     'endTime':1522844263021,
     'line':'73c2f337-46fc-415c-a24f',
     'level':1,
     'lineId':'9b6a5624-4add-4fce-9de3',
     'loss':0,
     'startTime':1522842642200
  }
  </code></pre>
  
  <p>How can it be splited in columns? I tried approach with lambda this but it gives me error <code>'list index out of range'</code> and also I don't know how to deal with the second nest:</p>
  
  <pre><code>df['details'] = df.loc[:, 'type'].apply(lambda x: x[0]['details'])
  </code></pre>
  
  <p>How can this task be solved?</p>