title: Split datetime64 column into a date and time column in pandas dataframe
body: <p>If I have a dataframe with the first column being a datetime64 column. How do I split this column into 2 new columns, a date column and a time column. Here is my data and code so far:</p>
  
  <pre><code>DateTime,Actual,Consensus,Previous
  20140110 13:30:00,74000,196000,241000
  20131206 13:30:00,241000,180000,200000
  20131108 13:30:00,200000,125000,163000
  20131022 12:30:00,163000,180000,193000
  20130906 12:30:00,193000,180000,104000
  20130802 12:30:00,104000,184000,188000
  20130705 12:30:00,188000,165000,176000
  20130607 12:30:00,176000,170000,165000
  20130503 12:30:00,165000,145000,138000
  20130405 12:30:00,138000,200000,268000
  ...
  
  
  import pandas as pd
  nfp = pd.read_csv("NFP.csv", parse_dates=[0])
  nfp
  </code></pre>
  
  <p>Gives:</p>
  
  <pre><code>Out[10]: &lt;class 'pandas.core.frame.DataFrame'&gt;
           Int64Index: 83 entries, 0 to 82
           Data columns (total 4 columns):
           DateTime     82  non-null values
           Actual       82  non-null values
           Consensus    82  non-null values
           Previous     82  non-null values
           dtypes: datetime64[ns](1), float64(3)
  </code></pre>
  
  <p>All good but not sure what to do from here.</p>
  
  <p>Two points specifically I am unsure about:</p>
  
  <ol>
  <li>Is it possible to do this when I read the csv file in the first place? If so, how?</li>
  <li>Can any one help show me how to do the split once I have performed csv_read? </li>
  </ol>
  
  <p>Also is there anywhere I can look up this kind of information? </p>
  
  <p>Having a hard time finding a detailed reference of the class libraries Thanks!</p>