title: Pandas to_excel- How to make it faster
body: <p>I have a dataframe with 12,000 rows and 34 columns. It takes around 15 sec for pandas to write this to the excel. I read few discussion about to_excel function and one way to make it faster is by adding engine='xlsxwriter'. I use the following code.</p>
  
  <pre><code>writer = pd.ExcelWriter('outputfile.xlsx',engine='xlsxwriter')
  res_df.to_excel(writer,sheet_name='Output_sheet')
  </code></pre>
  
  <p>Wondering if there is a way to make this work faster using dask or any other library?</p>
  
  <p>dataframe.memory_usage() gave me the following output: </p>
  
  <pre><code>Index   80
  col1    95528
  col2    95528
  col3    95528
  col4    95528
  col5    95528
  col6    95528
  col7    95528
  col8    95528
  col9    95528
  col10   95528
  col11   95528
  col12   95528
  col13   95528
  col14   95528
  col15   95528
  col16   95528
  col17   95528
  col18   95528
  col19   95528
  col20   95528
  col21   95528
  col22   95528
  col23   95528
  col24   95528
  col25   95528
  col26   95528
  col27   95528
  col28   95528
  col29   95528
  col30   95528
  col31   95528
  col32   95528
  col33   95528
  col34   95528
  </code></pre>
  
  <p>Thanks!</p>