title: python pandas read_excel: sep parameter available?
body: <p>I'm trying to read a .xlsx into a pandas dataframe using<br>
  <code>pd.read_excel("C:/...")</code>. </p>
  
  <p>The problem is I only get one column which include all the data seperated by ",".  </p>
  
  <pre><code>|---| "Country","Year","Export" |  
  |---|---------------------------|  
  | 0 | Canada,2017,3002          |  
  | 1 | Bulgaria,2016,3960        |  
  | 2 | Germany,2015,3818         |
  </code></pre>
  
  <p>But this is not the format that I want... I'd like to get three columns like the table below. </p>
  
  <pre><code>|---| "Country"    | "Year"   | "Export"   |  
  |---|--------------|----------| -----------|  
  |1  | Canada       | 2017     |       3002 |  
  |2  | Bulgaria     | 2016     |       3960 |  
  |3  | Germany      | 2015     |       3818 |
  </code></pre>
  
  <p>So i am looking for the sep=',' or delimiter=',' parameter as contained in pd.read_csv. I allready worked through the documentation of pandas.read_excel but have not found a parameter which handle this problem...</p>
  
  <p>Thanks!</p>