title: Pandas read_csv parse_dates format "%m/%d/%Y %H:%M:%S" in column only parse date, missing time
body: <p>I have a statistic in csv files, some are huge file with thousands of lines.  the structure is:</p>
  
  <pre><code>"Result  :  Stat01"
  "Save Time: 09/23/2019 19:01:27"
  
  "User Name:admin"
  
  "Total 1,365    Records"
  
  "Start Time","Period","Messages Received","Messages Sent"
  09/23/2019 01:30:00,5,114,57
  09/23/2019 01:30:00,5,0,0
  09/23/2019 01:30:00,5,47493,46911
  09/23/2019 01:30:00,5,47772,46347
  09/23/2019 01:30:00,5,0,0
  09/23/2019 01:35:00,5,32990,34652
  09/23/2019 01:35:00,5,142,63
  09/23/2019 01:35:00,5,0,0
  09/23/2019 01:35:00,5,47379,46297
  09/23/2019 01:35:00,5,46324,45750
  09/23/2019 01:35:00,5,0,0
  09/23/2019 01:40:00,5,31974,33969
  09/23/2019 01:40:00,5,114,57
  09/23/2019 01:40:00,5,0,0
  09/23/2019 01:40:00,5,44701,43845
  09/23/2019 01:40:00,5,44903,43770
  09/23/2019 01:40:00,5,0,0
  09/23/2019 01:45:00,5,33531,35274
  09/23/2019 01:45:00,5,126,63
  09/23/2019 01:45:00,5,0,0
  09/23/2019 01:45:00,5,45821,43960
  09/23/2019 01:45:00,5,44988,45120
  09/23/2019 01:45:00,5,0,0
  09/23/2019 01:50:00,5,32544,33804
  09/23/2019 01:50:00,5,112,56
  09/23/2019 01:50:00,5,0,0
  09/23/2019 01:50:00,5,45645,44609
  09/23/2019 01:50:00,5,44878,44628
  </code></pre>
  
  <p>I tried to parse in pandas with <strong>parse_dates</strong> and <strong>date_parser</strong> but the result in pandas DataFrame is only date, it skip time.  the statistics have 5 minutes frequency and it requires time.
  the code using is</p>
  
  <pre><code>mydateparser = lambda x: pd.datetime.strptime(x, "%m/%d/%Y %H:%M:%S")
  sta = pd.read_csv('Export.csv',skiprows=7,parse_dates=["Start Time"],date_parser= mydateparser)
  sta.head()
  </code></pre>
  
  <p>the output does not have time:</p>
  
  <pre><code>Start Time  Period  Messages Received   Messages Sent
  0   2019-09-23  5   46803   49665
  1   2019-09-23  5   112 56
  2   2019-09-23  5   0   0
  3   2019-09-23  5   66647   65771
  4   2019-09-23  5   67151   65191
  </code></pre>
  
  <p>thanks for your help</p>