title: read_csv shifting columns and skipping wrong rows
body: <p>I'm using Pandas to <code>read_csv</code> to import a CSV file into a Jupyter notebook.</p>
  
  <p>You can find the <a href="https://drive.google.com/open?id=1Eobd9FBEp-aUshpuq4aEYKrfHR79fjL1" rel="nofollow noreferrer">CSV file at this link</a>. It has two empty rows before the header row. 
  When I use:</p>
  
  <pre><code>df = pd.read_csv('data/2008-03-21_downloaded.csv', skiprows= 2)
  </code></pre>
  
  <p>The resulting df has all the column headers shifted over.</p>
  
  <p>If I add <code>index_col=False</code>:</p>
  
  <pre><code>df = pd.read_csv('data/2008-03-21_downloaded.csv', skiprows=[1,2], index_col=False)
  </code></pre>
  
  <p>The result uses a row of data as the header instead of the actual header names.</p>
  
  <p>I can't seem to skip the first two rows and use the actual headers as headers [Account, Account Name, Amount, etc...]</p>