title: Multiple indices in read_excel in DataFrame (TypeError: list indices must be integers, not str)
body: <p>Sorry if this question has been asked before. I did some research and still couldn't get my code working correctly. </p>
  
  <p>I am trying to read an excel file into a dataframe. 
  <a href="https://i.stack.imgur.com/S6t73.jpg" rel="nofollow noreferrer">Excel file - Book1</a></p>
  
  <p><div class="snippet" data-lang="js" data-hide="false" data-console="true" data-babel="false">
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  <pre class="snippet-code-html lang-html prettyprint-override"><code>import numpy as np
  import pandas as pd
  import io
  
  file1 = "Book1.xlsx"
  Infile = pd.read_excel(file1,Sheet_Name = 'Sheet6',index_col =['DOCO','LEAST','LEASPN'])
  Infile.head()
  print "Test"</code></pre>
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  <p>How can  I specify that the table has three columns in the index and import into a data frame?</p>
  
  <p>This is the error I am getting. </p>
  
  <p><div class="snippet" data-lang="js" data-hide="false" data-console="true" data-babel="false">
  <div class="snippet-code">
  <pre class="snippet-code-html lang-html prettyprint-override"><code>   return func(*args, **kwargs)
    File "C:\py\lib\site-packages\pandas\io\excel.py", line 238, in read_excel
      false_values=false_values, squeeze=squeeze, **kwds)
    File "C:\py\lib\site-packages\pandas\io\excel.py", line 518, in _parse_excel
      last = data[offset][col]
  TypeError: list indices must be integers, not str</code></pre>
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