title: Plot smooth curves of Pandas Series data
body: <p>My data is:</p>
  
  <pre><code>&gt;&gt;&gt; ts = pd.TimeSeries(data,indexconv)
  &gt;&gt;&gt; tsgroup = ts.resample('t',how='sum')
  &gt;&gt;&gt; tsgroup
  2014-11-08 10:30:00    3
  2014-11-08 10:31:00    4
  2014-11-08 10:32:00    7
    [snip]
  2014-11-08 10:54:00    5
  2014-11-08 10:55:00    2
  Freq: T, dtype: int64
  &gt;&gt;&gt; tsgroup.plot()
  &gt;&gt;&gt; plt.show()
  </code></pre>
  
  <p><code>indexconv</code> are strings converted using <code>datetime.strptime</code>.</p>
  
  <p>The plot is very edgy like this (these aren't my actual plots):
  <img src="https://i.stack.imgur.com/idon9.png" alt="enter image description here"></p>
  
  <p>How can I smooth it out like this:
  <img src="https://i.stack.imgur.com/jAZLW.png" alt="enter image description here"></p>
  
  <p>I know about <code>scipy.interpolate</code> mentioned in <a href="http://josechristian.com/2014/04/30/smooth-line-plots-python/" rel="noreferrer">this article</a> (which is where I got the images from), but how can I apply it for Pandas time series?</p>
  
  <p>I found this great library called <a href="http://wrobstory.github.io/2013/04/pandas-vincent-timeseries.html" rel="noreferrer">Vincent</a> that deals with Pandas, but it doesn't support Python 2.6.</p>