title: Plot datetime.date pandas
body: <p>I created a pandas dataframe from some value counts on particular calendar dates. Here is how I did it:</p>
  
  <pre><code>time_series = pd.DataFrame(df['Operation Date'].value_counts().reset_index())
  time_series.columns = ['date', 'count']
  </code></pre>
  
  <p>Basically, it is two columns, the first "date" is a column with <code>datetime.date</code> objects and the second column, "count" are simply integer values. </p>
  
  <p>Now, I'd like to plot a scatter or a KDE to represent the value changes over the calendar days, but how?</p>
  
  <p>I looked at the dataframe and it all looks in order and exactly as I describe above. But when I try:</p>
  
  <pre><code>time_series.plot(kind='kde')
  plt.show()
  </code></pre>
  
  <p>I get a plot where the x-axis is from -50 to 150 as if it is parsing the <code>datetime.date</code> objects as integers somehow. Also, it is yielding two identical plots rather than just one.</p>
  
  <p>Any idea how I can plot them and see the calendars day along the x-axis?</p>