title: How to get column by number in Pandas?
body: <p>What's the difference between:</p>
  
  <pre><code>Maand['P_Sanyo_Gesloten']
  Out[119]: 
  Time
  2012-08-01 00:00:11    0
  2012-08-01 00:05:10    0
  2012-08-01 00:10:11    0
  2012-08-01 00:20:10    0
  2012-08-01 00:25:10    0
  2012-08-01 00:30:09    0
  2012-08-01 00:40:10    0
  2012-08-01 00:50:09    0
  2012-08-01 01:05:10    0
  2012-08-01 01:10:10    0
  2012-08-01 01:15:10    0
  2012-08-01 01:25:10    0
  2012-08-01 01:30:10    0
  2012-08-01 01:35:09    0
  2012-08-01 01:40:10    0
  ...
  2012-08-30 22:35:09    0
  2012-08-30 22:45:10    0
  2012-08-30 22:50:09    0
  2012-08-30 22:55:10    0
  2012-08-30 23:00:09    0
  2012-08-30 23:05:10    0
  2012-08-30 23:10:09    0
  2012-08-30 23:15:10    0
  2012-08-30 23:20:09    0
  2012-08-30 23:25:10    0
  2012-08-30 23:35:09    0
  2012-08-30 23:40:10    0
  2012-08-30 23:45:09    0
  2012-08-30 23:50:10    0
  2012-08-30 23:55:11    0
  Name: P_Sanyo_Gesloten, Length: 7413, dtype: int64
  </code></pre>
  
  <p>And</p>
  
  <pre><code>Maand[[1]]
  Out[120]: 
  &amp;ltclass 'pandas.core.frame.DataFrame'&amp;gt
  DatetimeIndex: 7413 entries, 2012-08-01 00:00:11 to 2012-08-30 23:55:11
  Data columns (total 1 columns):
  P_Sanyo_Gesloten    7413  non-null values
  dtypes: int64(1)
  </code></pre>
  
  <p>How can I get data by column-indexnumber?
  And not by an Index-string?</p>