title: ValueError: unconverted data remains on Pandas DataFrame
body: <p><strong>Data</strong>  - Here's my data in a Pandas DataFrame</p>
  
  <pre><code>CallDateAndTimeStart
  01/01/2010 00:26:28.003613 MST
  01/01/2010 00:28:54.230713 MST
  01/02/2008 14:12:11 MST
  05/19/2010 09:12:32.080728 MST
  </code></pre>
  
  <p><strong>My attempt to change column dtype to datetime64[ns]</strong></p>
  
  <pre><code>df['CallDateAndTimeStart'] = pandas.to_datetime(df['CallDateAndTimeStart'],
      format='%m/%d/%Y %H:%M:%S')
  </code></pre>
  
  <p><strong>Error Message</strong> - Without cleaning the data, I get the following error:</p>
  
  <pre><code>File "C:\Python27\lib\site-packages\pandas\tseries\tools.py", line 308, in _convert_listlike raise e
  ValueError: unconverted data remains: .003613 MST
  </code></pre>
  
  <p><strong>Question</strong></p>
  
  <p>How would I correct my dataframe column so that it can convert to a datetime type?  I posted my answer, but is there a better answer?  Thanks.</p>