title: Convert Pandas Series to DateTime in a DataFrame
body: <p>I have a Pandas DataFrame as below </p>
  
  <pre><code>        ReviewID       ID      Type               TimeReviewed
  205     76032930  51936827  ReportID 2015-01-15 00:05:27.513000
  232     76032930  51936854  ReportID 2015-01-15 00:06:46.703000
  233     76032930  51936855  ReportID 2015-01-15 00:06:56.707000
  413     76032930  51937035  ReportID 2015-01-15 00:14:24.957000
  565     76032930  51937188  ReportID 2015-01-15 00:23:07.220000
  
  &gt;&gt;&gt; type(df)
  &lt;class 'pandas.core.frame.DataFrame'&gt;
  </code></pre>
  
  <p>TimeReviewed is a series type </p>
  
  <pre><code>&gt;&gt;&gt; type(df.TimeReviewed)
  &lt;class 'pandas.core.series.Series'&gt;
  </code></pre>
  
  <p>I've tried below, but it still doesn't change the Series type </p>
  
  <pre><code>import pandas as pd
  review = pd.to_datetime(pd.Series(df.TimeReviewed))
  &gt;&gt;&gt; type(review)
  &lt;class 'pandas.core.series.Series'&gt;
  </code></pre>
  
  <p>How can I change the df.TimeReviewed to DateTime type and pull out year, month, day, hour, min, sec separately? 
  I'm kinda new to python, thanks for your help. </p>