title: Pandas Timedelta in Days
body: <p>I have a dataframe in pandas called 'munged_data' with two columns 'entry_date' and 'dob' which i have converted to Timestamps using pd.to_timestamp.I am trying to figure out how to calculate ages of people based on the time difference between 'entry_date' and 'dob' and to do this i need to get the difference in days between the two columns ( so that i can then do somehting like round(days/365.25). I do not seem to be able to find a way to do this using a vectorized operation. When I do munged_data.entry_date-munged_data.dob i get the following : </p>
  
  <pre><code>internal_quote_id
  2                    15685977 days, 23:54:30.457856
  3                    11651985 days, 23:49:15.359744
  4                     9491988 days, 23:39:55.621376
  7                     11907004 days, 0:10:30.196224
  9                    15282164 days, 23:30:30.196224
  15                  15282227 days, 23:50:40.261632  
  </code></pre>
  
  <p>However i do not seem to be able to extract the days as an integer so that i can continue with my calculation. 
  Any help appreciated.</p>