title: Converting text (json object?) in pandas cell to columns
body: <p>I am trying to pull data from a text values in a pandas DataFrame.</p>
  
  <pre><code>df = pd.DataFrame(['{58={1=4.5}, 50={1=4.0}, 42={1=3.5}, 62={1=4.75}, 54={1=4.25}, 46={1=3.75}}',
                '{a={1=15.0}, b={1=14.0}, c={1=13.0}, d={1=15.5}, e={1=14.5}, f={1=13.5}}',
                '{58={1=15.5}, 50={1=14.5}, 42={1=13.5}, 62={1=16.0}, 54={1=15.0}, 46={1=14.0}}'])
  </code></pre>
  
  <p>I have tried</p>
  
  <pre><code>df.apply(pd.Series)
  pd.DataFrame(df.tolist(),index=df.index)
  json_normalize(df)
  </code></pre>
  
  <p>But with no success.</p>
  
  <p>I want to have new columns 50, 52, a, b c etc. And the values without the '1=' and I dont mind the NaNs.  How to do that? What is this format? 
  Really appreciate your help.</p>