title: Is there a way to plot a pandas series in ggplot?
body: <p>I'm experimenting with pandas and non-matplotlib plotting.  Good suggestions are <a href="http://pandas.pydata.org/pandas-docs/stable/ecosystem.html" rel="nofollow noreferrer">here</a>.  This question regards <a href="https://github.com/yhat/ggplot/" rel="nofollow noreferrer">yhat's ggplot</a> and I am running into two issues.
  Plotting a series in pandas is easy.</p>
  
  <pre><code>frequ.plot()
  </code></pre>
  
  <p>I don't see how to do this in the ggplot docs.  Instead I end up creating a dataframe:</p>
  
  <pre><code>cheese = DataFrame({'time': frequ.index, 'count' : frequ.values})
  ggplot(cheese, aes(x='time', y='count')) + geom_line()
  </code></pre>
  
  <p>I would expect ggplot -- a project that has "tight integration with pandas" -- to have a way to plot a simple series.</p>
  
  <p>Second issue is I can't get stat_smooth() to display when the x axis is time of day. Seems like it could be related to this <a href="https://stackoverflow.com/questions/20427050/how-do-i-make-stat-smooth-work-in-ggplot-python?s=292d013d-6be0-4deb-9178-641f6a3d68eb">post</a>, but I don't have the rep to post there.  My code is:</p>
  
  <pre><code>frequ = values.sampler.resample("1Min", how="count")
  cheese = DataFrame({'time': frequ.index, 'count' : frequ.values})
  ggplot(cheese, aes(x='time', y='count')) + geom_line() + stat_smooth()
  </code></pre>
  
  <p>Any help regarding non-matplotlib plotting would be appreciated.  Thanks! 
  (I'm using ggplot 0.5.8)</p>