title: Setting axis labels for histogram pandas
body: <p>I'm fairly new to this, so there might be a very obvious answer to this. My apologies!  </p>
  
  <p>I'm plotting two histograms via a groubpy. I'd like my subplots to each have the same x and y labels and a common title. I understood that sharex=True would do the trick, but apparently not if I set the axis only after the df.hist. I've tried various versions of setting the xlabels and am lost now.</p>
  
  <pre><code>import pylab as pl
  from pandas import *
  
  histo_survived = df.groupby('Survived').hist(column='Age', sharex=True, sharey=True)
  pl.title("Histogram of Ages")
  pl.xlabel("Age")
  pl.ylabel("Individuals")
  </code></pre>
  
  <p>So what I end up with is labels only for the subplot. </p>
  
  <pre><code>Out: &lt;matplotlib.text.Text at 0x11a27ead0&gt;
  </code></pre>
  
  <p><img src="https://i.stack.imgur.com/J4Dkd.png" alt="Screenshot of my histograms"></p>
  
  <p>Any idea on how to solve this?
  (Have to use pandas/python.)</p>