title: Datetime strptime in Python pandas : what's wrong?
body: <pre><code>import datetime as datetime
  datetime.strptime('2013-01-01 09:10:12', '%Y-%m-%d %H:%M:%S')
  </code></pre>
  
  <p>produces </p>
  
  <blockquote>
    <p>AttributeError                            Traceback (most recent call
    last)  in ()
          1 import datetime as datetime
    ----> 2 datetime.strptime('2013-01-01 09:10:12', '%Y-%m-%d %H:%M:%S')
          3 z = minidf['Dates']
          4 z</p>
    
    <p>AttributeError: 'module' object has no attribute 'strptime'</p>
  </blockquote>
  
  <p>my goal is to convert a pandas dataframe column whose format is still a data object</p>
  
  <pre><code>import datetime as datetime
  #datetime.strptime('2013-01-01 09:10:12', '%Y-%m-%d %H:%M:%S')
  z = minidf['Dates']
  
  0     2015-05-13 23:53:00
  1     2015-05-13 23:53:00
  2     2015-05-13 23:33:00
  3     2015-05-13 23:30:00
  4     2015-05-13 23:30:00
  5     2015-05-13 23:30:00
  6     2015-05-13 23:30:00
  7     2015-05-13 23:30:00
  8     2015-05-13 23:00:00
  9     2015-05-13 23:00:00
  10    2015-05-13 22:58:00
  Name: Dates, dtype: object
  </code></pre>
  
  <p>the bonus question is, i got this column using <code>pd.read_csv</code> function from a larger file with more columns. Is it possible to pass parameters such that <code>pd.read_csv</code> directly converts this to <code>dtype: datetime64[ns]</code> format</p>