title: Multi level quotation marks wrap csv file pandas
body: <p>My .csv file looks like this:</p>
  
  <pre><code>col1, col2, col3, col4, col5, col6
  "a, """"b, ""string1"""""", ""string2, string3"", """", c,"
  "d, """"e, ""string4"""""", ""string5, string6"", """", f,"
  </code></pre>
  
  <p>I want to read this file in pandas. How to deal with those three challenges all in one read_csv command?</p>
  
  <ul>
  <li>undo the rows from the single quotation marks " " wrap? </li>
  <li>undo cells containing commas from the four quotation marks """" """"?</li>
  <li>perserve commas treated as strings in the corresponding comma containing cells?</li>
  </ul>