title: Pandas, read CSV ignoring extra commas
body: <p>I am reading a CSV file with 8 columns into Pandas data frame. The final column contains an error message, some of which contain commas. This causes the file read to fail with the error <code>ParserError: Error tokenizing data. C error: Expected 8 fields in line 21922, saw 9</code></p>
  
  <p>Is there a way to ignore all commas after the 8th field, rather than having to go through the file and remove excess commas?</p>
  
  <p>Code to read file:</p>
  
  <pre><code>import pandas as pd
  df = pd.read_csv('C:\\somepath\\output.csv')
  </code></pre>
  
  <p>Line that works:</p>
  
  <pre><code>061AE,Active,001,2017_02_24 15_18_01,00006,1,00013,some message
  </code></pre>
  
  <p>Line that fails: </p>
  
  <pre><code>061AE,Active,001,2017_02_24 15_18_01,00006,1,00013,longer message, with commas
  </code></pre>