title: Controlling representation of datetime64[ns] in Pandas plots
body: <p>Say I have a dataframe and I do a boxplot:</p>
  
  <pre><code>df.boxplot(column='value', by='date')
  </code></pre>
  
  <p>where <code>date</code> is a column of dtype <code>datetime64[ns]</code>. When I run the above plot, the x-axis shows tick labels as follows:</p>
  
  <pre><code>2014-02-24 00:00:00
  </code></pre>
  
  <p>which are very wordy. I would like to just show something like <code>2014-02-24</code> (or even better, have the ability to control how dates are formatted (e.g. "Month-Day")</p>
  
  <p>Is there any way to do this in Pandas?</p>
  
  <p>For reference, I am using:</p>
  
  <ul>
  <li>matplotlib: <code>1.3.1</code></li>
  <li>pandas: <code>0.13.1</code></li>
  <li>numpy: <code>1.8.1</code></li>
  </ul>
  
  <p>and here are my dates:</p>
  
  <pre><code>In &lt;88&gt;: df['date'].head()
  Out&lt;88&gt;: 
  0   2014-02-24
  1   2014-02-24
  2   2014-02-24
  3   2014-02-24
  4   2014-02-24
  Name: date, dtype: datetime64[ns]
  </code></pre>