title: How to convert nested dictionary to dataframe in Python
body: <p>I have a list contain nested dictionary, I want to convert them to pandas dataframe.</p>
  
  <p>My input data is below</p>
  
  <pre><code>my_list = [{'ticker': 'CompanyA',
    'Cash Cycle': ['3M/2018', '3M/2017', '2017', '2016'],
    'A/R Turnover (Times)': ['1', '2', '3', '4']},
   {'ticker': 'CompanyB',
    'Cash Cycle': ['3M/2018', '3M/2017', '2017', '2016'],
    'A/R Turnover (Times)': ['5', '6', '7', '8']}]
  </code></pre>
  
  <p>I tried to convert with pd.Dataframe(my_list) and result is below</p>
  
  <p><a href="https://i.stack.imgur.com/kr7zJ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/kr7zJ.png" alt="https://i.stack.imgur.com/kr7zJ.png"></a></p>
  
  <p>Please tell me how to get result below ?</p>
  
  <p><a href="https://i.stack.imgur.com/TIyds.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/TIyds.png" alt="enter image description here"></a></p>