title: Iterate over a random timestamp column in Python
body: <p>I have a huge file, where the columns are randomly sequenced and I was able to use pandas to read a specific timestamp column.</p>
  
  <pre><code>with open(&lt;file name&gt;, 'r') as in_file:
       b = pandas.read_csv(in_file,usecols=["&lt;Timestamp Column Name&gt;"],parse_dates=[0])
  
  c = b.to_csv(header=None,index=False)
  print c
  </code></pre>
  
  <p>Sample values are:</p>
  
  <pre><code>2016-11-26 16:12:00
  2016-11-30 09:19:00
  2016-11-28 17:30:00
  2016-11-30 14:50:00
  2016-11-26 21:39:00
  2016-01-12 11:14:00
  2016-11-27 09:39:00
  2016-11-28 06:50:00
  2016-11-26 14:08:00
  2016-11-30 12:42:00
  2016-11-26 11:01:00
  2016-11-25 08:23:00
  </code></pre>
  
  <p>Now I'm trying to loop through this column to achieve a count. If I use a simple for loop, it reads every digit like a string, which is of no use. Appreciate some help.</p>