title: Gaussian kernel density smoothing for pandas.DataFrame.resample?
body: <p>I am using <code>pandas.DataFrame.resample</code> to resample random events to 1 hour intervals and am seeing very stochastic results that don't seem to go away if I increase the interval to 2 or 4 hours.  It makes me wonder whether Pandas has any type of method for generating a smoothed density kernel like a Gaussian kernel density method with an adjustable bandwidth to control smoothing.  I'm not seeing anything in the documentation, but thought I would post here before posting on the developer list server since that is their preference.  Scikit-Learn has <a href="http://scikit-learn.org/stable/modules/density.html" rel="noreferrer">precisely the Gaussian kernel density function that I want</a>, so I will try to make use of it, but it would be a fantastic addition to Pandas.</p>
  
  <p>Any help is greatly appreciated!</p>
  
  <pre><code>hourly[0][344:468].plot()
  </code></pre>
  
  <p><img src="https://i.stack.imgur.com/tMERX.png" alt="enter image description here"></p>