title: parsing a dictionary in a pandas dataframe cell into new row cells (new columns)
body: <p>I have a Pandas Dataframe that contains one column containing cells containing a dictionary of key:value pairs, like this:</p>
  
  <pre><code>{"name":"Test Thorton","company":"Test Group","address":"10850 Test #325\r\n","city":"Test City","state_province":"CA","postal_code":"95670","country":"USA","email_address":"test@testtest.com","phone_number":"999-888-3333","equipment_description":"I'm a big red truck\r\n\r\nRSN# 0000","response_desired":"week","response_method":"email"}
  </code></pre>
  
  <p>I'm trying to parse the dictionary, so the resulting Dataframe contains a new column for each key and the row is populated with the resulting values for each column, like this:</p>
  
  <pre><code>//Before
  
  1  2  3  4  5
  a  b  c  d  {6:y, 7:v}
  
  //After
  
  1  2  3  4  5           6  7
  a  b  c  d  {6:y, 7:v}  y  v
  </code></pre>
  
  <p>Suggestions much appreciated.</p>