title: Plotting a dataframe as both a 'hist' and 'kde' on the same plot
body: <p>I have a pandas <code>dataframe</code> with user information. I would like to plot the age of users as both a <code>kind='kde'</code> and on <code>kind='hist'</code> on the same plot. At the moment I am able to have the two separate plots. The dataframe resembles:</p>
  
  <pre><code>member_df=    
  user_id    Age
  1          23
  2          34
  3          63 
  4          18
  5          53  
  ...
  </code></pre>
  
  <p>using </p>
  
  <pre><code>ax1 = plt.subplot2grid((2,3), (0,0))
  member_df.Age.plot(kind='kde', xlim=[16, 100])
  ax1.set_xlabel('Age')
  
  ax2 = plt.subplot2grid((2,3), (0,1))
  member_df.Age.plot(kind='hist', bins=40)
  ax2.set_xlabel('Age')
  
  ax3 = ...
  </code></pre>
  
  <p>I understand that the <code>kind='kde'</code> will give me frequencies for the y-axis whereas  <code>kind='kde'</code> will give a cumulative distribution, but is there a way to combine both and have the y-axis be represented by the frequencies?</p>