title: Read json.gz file into pandas
body: <p>I have a json.gz file that needs to be turned into a pandas dataframe.
  I have tried:</p>
  <pre><code>df = pd.read_json('myfile.json.gz',lines=True,compression='gzip')
  </code></pre>
  <p>but my df looks like this:</p>
  <pre><code>Item
  0   {'id': {'S': '83424'}, 'createdAt':...
  1   {'id': {'S': '234324'}, 'createdAt'...
  2   {'id': {'S': '234342'}, 'createdAt'...
  </code></pre>
  <p>Basically all my columns are in json format in one column. How can I counteract this?
  I have also tried unzipping the file with:</p>
  <pre><code>with gzip.open(&quot;myfile.json.gz&quot;, &quot;r&quot;) as f:
     data = f.read()
     j = json.loads (data.decode('utf-8'))
  </code></pre>
  <p>but get:</p>
  <blockquote>
  <p>TypeError: JSONDecoder.<strong>init</strong>() got an unexpected keyword argument
  'encoding'</p>
  </blockquote>