title: How to access pandas series nested within a dataframe
body: <p>The json response is listed as below:</p>
  
  <pre><code>[{
  "ID": "12345",
  "Date": "9-11-19",
  "Term": "Fall",
  "Details": [{
      "Version": "v2",
      "Release": "Series-2",
      "Rate": "Quarterly",
  .
  .
  .
  
      }]
  }]
  </code></pre>
  
  <p>I believe it's a Series because I get the following in the terminal</p>
  
  <pre><code>print(type(df['Details']))
  &lt;class 'pandas.core.series.Series'&gt;
  </code></pre>
  
  <p>How do I get to Version, Release, Rate or any data within the Details series? I've tried</p>
  
  <pre><code>1) df['Details'].get('Rate') #this always gives me None
  2) df['Details']['Rate'] # KeyError: 'Rate'
  3) df['Details'].tolist() #list can only accessed by indices not strings
  </code></pre>
  
  <p>Unless I made a typo in one of my numerous earlier attempts (the 3 above are the only ones I could Undo via Ctrl + Z) I don't why I'm having such an issue. In the end what I want to do is drop rows from the df based upon Rate values. Should I convert the df to some other type?</p>