title: pandas boxplots as subplots with individual y-axis
body: <p>Let's assume I have a dataframe with three groups 'K', 'L' and 'M' in column 'type' like:</p>
  
  <pre><code>df = pd.DataFrame(data={'A': random.sample(xrange(60, 100), 10),
                      'B': random.sample(xrange(20, 40), 10),
                      'C': random.sample(xrange(2000, 3010), 10),
                      'type': list(3*'K')+list(3*'L')+list(4*'M')})
  </code></pre>
  
  <p>For viewing single grouped boxplots I can use:</p>
  
  <pre><code>for i,el in enumerate(list(df.columns.values)[:-1]):
      a = df.boxplot(el, by ='type')
  </code></pre>
  
  <p>I would now like to combine these single plots as subplots in one figure. </p>
  
  <p>Using <code>df.boxplot(by='type')</code> creates such subplots. However, because of the variable range in column 'A', 'B' and 'C' these subplots are difficult to read, i.e. information is lost especially in printed forms.</p>
  
  <p>How can each subplot have an individual y-axis?</p>