title: python: sns distplot area overlap
body: <p>How can I get the overlapping area of 2 sns.distplots?</p>
  
  <p>Apart from the difference in mean (as below) I would like to add a number that descripes how different the (normalised) distributions are (for example 2 distributions could have the same mean but still look very different if they are not normal).</p>
  
  <pre><code>import matplotlib.pyplot as plt
  import numpy as np
  import seaborn as sns
  
  x1 = np.random.normal(size=2000)
  x2 = np.random.normal(size=1000)+1
  
  sns.distplot(x1, hist=False, kde=True, color="r", norm_hist=True)
  sns.distplot(x2, hist=False, kde=True, color="b", norm_hist=True)
  
  m1 = x1.mean()
  m2 = x2.mean()
  
  plt.title("m1={:2.2f}, m2={:2.2f} (diffInMean={:2.2f})".format(m1, m2, m1-m2))
  
  plt.show(block=True)
  </code></pre>