title: How to specify the data type and format when exporting to csv using Pandas?
body: <p>I have a pandas data frame were currently all the columns are floats, which I am exporting to a csv file using DF.to_csv. </p>
  
  <p>I would like for one of the columns to be exported as an int instead of as a float. A second columns has numbers with a lot of decimals and is being exported in scientific notation format. I want to to be exported as a regular decimal number up to a certain degree of precision, not in scientific notation. </p>
  
  <p>Say my DF is called DataOut and has columns 'A', 'B' and 'C'</p>
  
  <p>Is there anything I can add to </p>
  
  <pre><code>DataOut.to_csv(filename, mode = 'w', header = False , index=False)
  </code></pre>
  
  <p>So that the values in A are exported as int, and the values in B are exported as decimals with a maximum precision of 20 digits ?</p>