title: read_csv in pandas - how to use a specific row as header
body: <p>tring to parse this file :</p>
  
  <p><a href="https://gist.github.com/anonymous/7714935" rel="nofollow">https://gist.github.com/anonymous/7714935</a></p>
  
  <p>that looks like :</p>
  
  <pre><code>metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line 
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  metadata line
  
  col1   col2         col3    UTCDate   UTCTime       col6       col7   
                             (m)      (MDY)     (sec)    (weeks)      (MDY)     
  string1- string2-        0.000 11/06/2013 313585.10 1765.00000 11/06/2013 
  string1- string2-        0.000 11/06/2013 313585.30 1765.00000 11/06/2013 
  ...
  </code></pre>
  
  <p>i can read it using a code like :</p>
  
  <pre><code>import pandas as pd
  import datetime as dt
  names=['col1','col2','col3','UTCDate','UTCTime','col6','col7']
  
  def parse(UTCDate,UTCTime):
      return dt.datetime.strptime(UTCDate, '%m/%d/%Y') + dt.timedelta(seconds=float(UTCTime))
  
  df = pd.read_csv(filename, delimiter=r'\s+', skiprows=25, index_col='date', parse_dates={'date':['UTCDate','UTCTime']}, names=names, date_parser=parse)
  </code></pre>
  
  <p>Is there a way to avoid to specify the "names" in a list, and try to parse the
  header instead ?</p>
  
  <p>header is the line :</p>
  
  <pre><code>col1   col2         col3    UTCDate   UTCTime       col6       col7
  </code></pre>
  
  <p>line 24 in the gist. 
  I was thinking to keep_date_col=True, header=0 and pass a list of lines to skip like [arange(0,23),25] .. but didn't worked.</p>