title: pandas auto-renaming same headers
body: <p>I'm using <code>Python 3.7</code> with <code>pandas</code>.  </p>
  
  <p>I have successfully loaded my csv file and placed headers in a list  </p>
  
  <p><code>csv_file = pandas.read_csv(file, encoding="ISO-8859-1")</code><br>
  <code>headers = [line.upper() for line in csv_file]</code>  </p>
  
  <p>However, when I print the <code>headers</code>, same headers are suffixed with <em>.[number]</em> such as  </p>
  
  <pre><code>['ADID', 'FIRST NAME', 'LAST NAME', 'FULL NAME', 'ADID.1', 'ADID.2', 'ROLE 2', 'GROUP', 'DIVISION', 'TEAM', 'COMPANY']  
  </code></pre>
  
  <p><code>ADID</code>, <code>ADID.1</code> and <code>ADID.2</code> should all be <code>ADID</code> as per the input file.  </p>
  
  <p>Is this how pandas treat same headers? Could this be turned off?</p>