title: Looking to remove 'None' from all rows of Dataframe
body: <p>Hi it looks like people are getting confused so I've removed my attempts and left just the highly pertinent parts of the question:</p>
  
  <p>Code to create dataframe:</p>
  
  <pre><code>Sample = [{'account': 'Jones LLC', 'Jan': 150, 'Feb': 200, 'Mar': [.332, .326, .329]},
       {'account': 'Alpha Co',  'Jan': 200, 'Feb': 210, 'Mar': [[.234, .246], None]},
       {'account': 'Blue Inc',  'Jan': 50,  'Feb': 90,  'Mar': [[.23], [.745, .398, .923], None] }]
  df = pd.DataFrame(Sample)
  </code></pre>
  
  <p>Dataframe visualized:</p>
  
  <pre><code>df:
    account        Jan      Feb          Mar
  Jones LLC  |     150   |   200    | [.332, .326, .329]
  Alpha Co   |     200   |   210    | [[.234, .246], None]
  Blue Inc   |     50    |   90     | [[.23], [.745, .398, .923], None] 
  </code></pre>
  
  <p><strong>I need a function that can be applied to df to remove the 'None' values from df['Mar'], with the goal of returning this:</strong></p>
  
  <pre><code>df:
    account        Jan      Feb          Mar
  Jones LLC  |     150   |   200    | [.332, .326, .329]
  Alpha Co   |     200   |   210    | [.234, .246]
  Blue Inc   |     50    |   90     | [.23], [.745, .398, .923] 
  </code></pre>