title: Python Pandas, two rows as column headers?
body: <p>I have seen how to work with a double index, but I have not seen how to work with a two-row column headers. Is this possible? </p>
  
  <p>For example, row 1 is a repetitive series of dates: 2016, 2016, 2015, 2015</p>
  
  <p>Row 2 is a repetitive series of data. Dollar Sales, Unit Sales, Dollar Sales, Unit Sales.</p>
  
  <p>So each "Dollar Sales" heading is actually tied to the date in the row above.</p>
  
  <p>Subsequent rows are individual items with data.</p>
  
  <p>Is there a way to do a <code>groupby</code> or some way that I can have two column headers? Ultimately, I want to line up the "Dollar Sales" as a series by date so that I can make a nice graph. Unfortunately there are multiple columns before the next "Dollar Sales" value. (More than just the one "Unit Sales" column). Also if I delete the date row above, there is no link between which "Dollar Sales" are tied to each date. </p>