title: From DatetimeIndex to list of times
body: <p>My objective is to have a lists of times (in seconds), already packaged in lists of times in 5 minutes for a whole day.
  This is my code to package the whole day of "2016-07-08" by 5 minutes :</p>
  
  <pre><code>pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min')
  </code></pre>
  
  <p>The result :</p>
  
  <pre><code>DatetimeIndex(['2016-07-08 00:00:00', '2016-07-08 00:05:00',
             '2016-07-08 00:10:00', '2016-07-08 00:15:00',
             '2016-07-08 00:20:00', '2016-07-08 00:25:00',
             '2016-07-08 00:30:00', '2016-07-08 00:35:00',
             '2016-07-08 00:40:00', '2016-07-08 00:45:00',
             ...
             '2016-07-08 23:10:00', '2016-07-08 23:15:00',
             '2016-07-08 23:20:00', '2016-07-08 23:25:00',
             '2016-07-08 23:30:00', '2016-07-08 23:35:00',
             '2016-07-08 23:40:00', '2016-07-08 23:45:00',
             '2016-07-08 23:50:00', '2016-07-08 23:55:00'],
            dtype='datetime64[ns]', length=288, freq='5T')
  </code></pre>
  
  <p>And this is the code to have all times (by second) included in every 5 minutes:</p>
  
  <pre><code>for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min').tolist():    
      time_by_5_min = datetime.datetime.strftime(time.to_datetime(), "%Y-%m-%d %H:%M:%S")
      print pd.date_range(time_by_5_min, freq='S', periods=60)
  </code></pre>
  
  <p>The result :</p>
  
  <pre><code>DatetimeIndex(['2016-07-08 00:00:00', '2016-07-08 00:00:01',
             '2016-07-08 00:00:02', '2016-07-08 00:00:03',
             '2016-07-08 00:00:04', '2016-07-08 00:00:05',
             '2016-07-08 00:00:06', '2016-07-08 00:00:07',
             '2016-07-08 00:00:08', '2016-07-08 00:00:09',
             '2016-07-08 00:00:10', '2016-07-08 00:00:11',
             '2016-07-08 00:00:12', '2016-07-08 00:00:13',
             '2016-07-08 00:00:14', '2016-07-08 00:00:15',
             '2016-07-08 00:00:16', '2016-07-08 00:00:17',
             '2016-07-08 00:00:18', '2016-07-08 00:00:19',
             '2016-07-08 00:00:20', '2016-07-08 00:00:21',
             '2016-07-08 00:00:22', '2016-07-08 00:00:23',
             '2016-07-08 00:00:24', '2016-07-08 00:00:25',
             '2016-07-08 00:00:26', '2016-07-08 00:00:27',
             '2016-07-08 00:00:28', '2016-07-08 00:00:29',
             '2016-07-08 00:00:30', '2016-07-08 00:00:31',
             '2016-07-08 00:00:32', '2016-07-08 00:00:33',
             '2016-07-08 00:00:34', '2016-07-08 00:00:35',
             '2016-07-08 00:00:36', '2016-07-08 00:00:37',
             '2016-07-08 00:00:38', '2016-07-08 00:00:39',
             '2016-07-08 00:00:40', '2016-07-08 00:00:41',
             '2016-07-08 00:00:42', '2016-07-08 00:00:43',
             '2016-07-08 00:00:44', '2016-07-08 00:00:45',
             '2016-07-08 00:00:46', '2016-07-08 00:00:47',
             '2016-07-08 00:00:48', '2016-07-08 00:00:49',
             '2016-07-08 00:00:50', '2016-07-08 00:00:51',
             '2016-07-08 00:00:52', '2016-07-08 00:00:53',
             '2016-07-08 00:00:54', '2016-07-08 00:00:55',
             '2016-07-08 00:00:56', '2016-07-08 00:00:57',
             '2016-07-08 00:00:58', '2016-07-08 00:00:59'],
            dtype='datetime64[ns]', freq='S')
  DatetimeIndex(['2016-07-08 00:05:00', '2016-07-08 00:05:01',
             '2016-07-08 00:05:02', '2016-07-08 00:05:03',
             '2016-07-08 00:05:04', '2016-07-08 00:05:05',
             '2016-07-08 00:05:06', '2016-07-08 00:05:07',
             '2016-07-08 00:05:08', '2016-07-08 00:05:09',
             '2016-07-08 00:05:10', '2016-07-08 00:05:11',
             '2016-07-08 00:05:12', '2016-07-08 00:05:13',
             '2016-07-08 00:05:14', '2016-07-08 00:05:15',
             '2016-07-08 00:05:16', '2016-07-08 00:05:17',
             '2016-07-08 00:05:18', '2016-07-08 00:05:19',
             '2016-07-08 00:05:20', '2016-07-08 00:05:21',
             '2016-07-08 00:05:22', '2016-07-08 00:05:23',
             '2016-07-08 00:05:24', '2016-07-08 00:05:25',
             '2016-07-08 00:05:26', '2016-07-08 00:05:27',
             '2016-07-08 00:05:28', '2016-07-08 00:05:29',
             '2016-07-08 00:05:30', '2016-07-08 00:05:31',
             '2016-07-08 00:05:32', '2016-07-08 00:05:33',
             '2016-07-08 00:05:34', '2016-07-08 00:05:35',
             '2016-07-08 00:05:36', '2016-07-08 00:05:37',
             '2016-07-08 00:05:38', '2016-07-08 00:05:39',
             '2016-07-08 00:05:40', '2016-07-08 00:05:41',
             '2016-07-08 00:05:42', '2016-07-08 00:05:43',
             '2016-07-08 00:05:44', '2016-07-08 00:05:45',
             '2016-07-08 00:05:46', '2016-07-08 00:05:47',
             '2016-07-08 00:05:48', '2016-07-08 00:05:49',
             '2016-07-08 00:05:50', '2016-07-08 00:05:51',
             '2016-07-08 00:05:52', '2016-07-08 00:05:53',
             '2016-07-08 00:05:54', '2016-07-08 00:05:55',
             '2016-07-08 00:05:56', '2016-07-08 00:05:57',
             '2016-07-08 00:05:58', '2016-07-08 00:05:59'],
            dtype='datetime64[ns]', freq='S')
  etc
  </code></pre>
  
  <p>This is perfect for me!
  I want now to have lists, not a pandas.tseries.index.DatetimeIndex..
  The .tolist() method give this :</p>
  
  <pre><code>for time in pd.date_range('2016-07-08 00:00:00', '2016-07-08 23:59:00', freq='5Min').tolist():    
      time_by_5_min = datetime.datetime.strftime(time.to_datetime(), "%Y-%m-%d %H:%M:%S")
      print (pd.date_range(time_by_5_min, freq='S', periods=60)).tolist()
  </code></pre>
  
  <p>The result :</p>
  
  <pre><code>[Timestamp('2016-07-08 00:00:00', offset='S'), Timestamp('2016-07-08 00:00:01', offset='S'), Timestamp('2016-07-08 00:00:02', offset='S'), Timestamp('2016-07-08 00:00:03', offset='S'), Timestamp('2016-07-08 00:00:04', offset='S'), Timestamp('2016-07-08 00:00:05', offset='S'), Timestamp('2016-07-08 00:00:06', offset='S'), etc]
  </code></pre>
  
  <p>I want to have something like this :</p>
  
  <pre><code>           [['2016-07-08 00:00:00', '2016-07-08 00:00:01',
             '2016-07-08 00:00:02', '2016-07-08 00:00:03',
             '2016-07-08 00:00:04', '2016-07-08 00:00:05',
             '2016-07-08 00:00:06', '2016-07-08 00:00:07',
             '2016-07-08 00:00:08', '2016-07-08 00:00:09',
             '2016-07-08 00:00:10', '2016-07-08 00:00:11',
             '2016-07-08 00:00:12', '2016-07-08 00:00:13',
             '2016-07-08 00:00:14', '2016-07-08 00:00:15',
             '2016-07-08 00:00:16', '2016-07-08 00:00:17',
             '2016-07-08 00:00:18', '2016-07-08 00:00:19',
             '2016-07-08 00:00:20', '2016-07-08 00:00:21',
             '2016-07-08 00:00:22', '2016-07-08 00:00:23',
             '2016-07-08 00:00:24', '2016-07-08 00:00:25',
             '2016-07-08 00:00:26', '2016-07-08 00:00:27',
             '2016-07-08 00:00:28', '2016-07-08 00:00:29',
             '2016-07-08 00:00:30', '2016-07-08 00:00:31',
             '2016-07-08 00:00:32', '2016-07-08 00:00:33',
             '2016-07-08 00:00:34', '2016-07-08 00:00:35',
             '2016-07-08 00:00:36', '2016-07-08 00:00:37',
             '2016-07-08 00:00:38', '2016-07-08 00:00:39',
             '2016-07-08 00:00:40', '2016-07-08 00:00:41',
             '2016-07-08 00:00:42', '2016-07-08 00:00:43',
             '2016-07-08 00:00:44', '2016-07-08 00:00:45',
             '2016-07-08 00:00:46', '2016-07-08 00:00:47',
             '2016-07-08 00:00:48', '2016-07-08 00:00:49',
             '2016-07-08 00:00:50', '2016-07-08 00:00:51',
             '2016-07-08 00:00:52', '2016-07-08 00:00:53',
             '2016-07-08 00:00:54', '2016-07-08 00:00:55',
             '2016-07-08 00:00:56', '2016-07-08 00:00:57',
             '2016-07-08 00:00:58', '2016-07-08 00:00:59'],
  
             ['2016-07-08 00:05:00', '2016-07-08 00:05:01',
             '2016-07-08 00:05:02', '2016-07-08 00:05:03',
             '2016-07-08 00:05:04', '2016-07-08 00:05:05',
             '2016-07-08 00:05:06', '2016-07-08 00:05:07',
             '2016-07-08 00:05:08', '2016-07-08 00:05:09',
             '2016-07-08 00:05:10', '2016-07-08 00:05:11',
             '2016-07-08 00:05:12', '2016-07-08 00:05:13',
             '2016-07-08 00:05:14', '2016-07-08 00:05:15',
             '2016-07-08 00:05:16', '2016-07-08 00:05:17',
             '2016-07-08 00:05:18', '2016-07-08 00:05:19',
             '2016-07-08 00:05:20', '2016-07-08 00:05:21',
             '2016-07-08 00:05:22', '2016-07-08 00:05:23',
             '2016-07-08 00:05:24', '2016-07-08 00:05:25',
             '2016-07-08 00:05:26', '2016-07-08 00:05:27',
             '2016-07-08 00:05:28', '2016-07-08 00:05:29',
             '2016-07-08 00:05:30', '2016-07-08 00:05:31',
             '2016-07-08 00:05:32', '2016-07-08 00:05:33',
             '2016-07-08 00:05:34', '2016-07-08 00:05:35',
             '2016-07-08 00:05:36', '2016-07-08 00:05:37',
             '2016-07-08 00:05:38', '2016-07-08 00:05:39',
             '2016-07-08 00:05:40', '2016-07-08 00:05:41',
             '2016-07-08 00:05:42', '2016-07-08 00:05:43',
             '2016-07-08 00:05:44', '2016-07-08 00:05:45',
             '2016-07-08 00:05:46', '2016-07-08 00:05:47',
             '2016-07-08 00:05:48', '2016-07-08 00:05:49',
             '2016-07-08 00:05:50', '2016-07-08 00:05:51',
             '2016-07-08 00:05:52', '2016-07-08 00:05:53',
             '2016-07-08 00:05:54', '2016-07-08 00:05:55',
             '2016-07-08 00:05:56', '2016-07-08 00:05:57',
             '2016-07-08 00:05:58', '2016-07-08 00:05:59'], etc]
  </code></pre>
  
  <p>Any ideas ? </p>