title: Pandas: plot nested Series in DataFrame columns as per-column subplots
body: <p>I have a bunch of Series nested inside of a DataFrame as cells.</p>
  
  <pre><code>pd.DataFrame(data={('SUPER-COLUMN', 'a'): [pd.Series([1,2,3]), pd.Series([10,20,30])], ('SUPER-COLUMN', 'b'): [pd.Series([101,102,103]), pd.Series([1001, 1002, 1003])]})
  </code></pre>
  
  <p>I would like to plot the DataFrame 'SUPER-COLUMN' columns as a figure of two (in this case) subplots, where each subplot should correspond to a column (eg, 'a', 'b'), and each subplot should have two lines (in this case), one for each row of the DataFrame. </p>
  
  <p><strong>Important:</strong> Note that I do not know in advance how many columns (and their names) are in SUPER-COLUMN.</p>
  
  <p>Ideally, <code>df['SUPER-COLUMN'].plot(subplots=True)</code> would produce:</p>
  
  <p>subplot title 'a': line1: [1, 2, 3], line2: [101, 102, 103]</p>
  
  <p>subplot title 'b': line1: [10, 20, 30], line2: [1001, 1002, 1003]</p>
  
  <p>Least amount of non pandas (eg, matplotlib) would be appreciated.</p>