title: parse date-time while reading 'csv' file with pandas
body: <p>I am trying to parse dates while I am​ reading my data from cvs file. The command that I use is </p>
  
  <pre><code>df  = pd.read_csv('/Users/n....', names=names, parse_dates=['date'])​ ) 
  </code></pre>
  
  <p>And it is working on my files generally. 
  But I have couple of data sets which has variety in date formats. I mean it has date format is like that <code>(09/20/15 09:59​ )</code> while it has another format in other lines is like that <code>( 2015-09-20 10:22:01.013​ )</code> in the same file. And the command that I wrote above doesn't work on these file. It is working when I delete (parse_dates=['date'])​, but that time I can't use date column as <code>datetime</code> format, it reads that column as integer . I would be appreciate anyone could answer that!</p>