title: pandas - read_excel efficiency on multiple large sheets
body: <p>I have an Excel workbook with multiple sheets. Some contain lots of data (f.e. 6000000 cells), and some do not. I'm attempting to read one of the sheets that's significantly smaller, a simple 2 column - 500 row sheet using the following line of code:</p>
  
  <pre><code>df = pd.read_excel('C:/Data.xlsx', sheetname='Contracts')
  </code></pre>
  
  <p>However, this read takes an incredible amount of time, whereas the sheet standalone in an Excel does not. Is there a reason  for this?</p>