title: How to fill area under curve in seaborn distribution plot
body: <p>I have two variables</p>
  
  <pre><code>x = [1.883830, 7.692308,8.791209, 9.262166]
  y = [5.337520, 4.866562, 2.825746, 6.122449]
  </code></pre>
  
  <p>And I want to fit a Gaussian distribution using the seaborn wrapped for matplotlib. It seems like the <code>sns.distplot</code> function is the best way to do this, but I can't figure out how to fill in the area under the curve. Help?</p>
  
  <pre><code>fig, ax = plt.subplots(1)
  sns.distplot(x,kde_kws={"shade":True}, kde=False, fit=stats.gamma, hist=None, color="red", label="2016", fit_kws={'color':'red'});
  sns.distplot(y,kde_kws={"shade":True}, kde=False, fit=stats.gamma, hist=None, color="blue", label="2017", fit_kws={'color':'blue'})
  </code></pre>
  
  <p>I think the "shade" argument could be part of the <code>fit_kws</code> argument but I haven't gotten this to work. </p>
  
  <p>Another option would be to use <code>ax.fill()</code>?</p>