title: How do I get a summary count of missing/NaN data by column in 'pandas'?
body: <p>In <em>R</em> I can quickly see a count of missing data using the <code>summary</code> command, but the equivalent <code>pandas</code> DataFrame method, <code>describe</code> does not report these values.</p>
  
  <p>I gather I can do something like</p>
  
  <pre><code>len(mydata.index) - mydata.count()
  </code></pre>
  
  <p>to compute the number of missing values for each column, but I wonder if there's a better idiom (or if my approach is even right).</p>