title: Remove comma from objects in a pandas dataframe column
body: <p>I have imported a csv file using pandas.</p>
  
  <p>My dataframe has multiple columns titled "Farm", "Total Apples" and "Good Apples".</p>
  
  <p>The numerical data imported for "Total Apples" and "Good Apples" contains commas to indicate thousands e.g. 1,200 etc.
  I want to remove the comma so the data looks like 1200 etc.</p>
  
  <p>The variable type for the "Total Apples" and "Good Apples" columns comes up as object.</p>
  
  <p>I tried using <code>df.str.replace</code> and <code>df.strip</code> but have not been successful.</p>
  
  <p>Also tried to change the variable type from object to string and object to integer but couldn't make it work.</p>
  
  <p>Any help would be greatly appreciated.</p>
  
  <p>****EDIT****</p>
  
  <p>Excerpt of data from csv file imported using pd.read_csv:</p>
  
  <pre><code>Farm_Name   Total Apples    Good Apples
  EM  18,327  14,176
  EE  18,785  14,146
  IW  635 486
  L   33,929  24,586
  NE  12,497  9,609
  NW  30,756  23,765
  SC  8,515   6,438
  SE  22,896  17,914
  SW  11,972  9,114
  WM  27,251  20,931
  Y   21,495  16,662
  </code></pre>