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All,

Is it possible to run an rsplit on a whole dataframe without iterating through all columns? I have a CSV file with loads of spaces after most of the fields (Not column specific).

Any help is much appreciated.

Edit: the csv would look like the following and I would like to remove all the spaces on the right of each field (at the time of read_csv would be the best):

"JoeK    ","Joe     ","Kavanagh   ","[email protected]  "
"BarryD  ","Barry","Dempsy     ","[email protected]"
"OrlaF","Orla    ","Farrel     ","[email protected]             " 
"SethB   ","Seth    ","Black      ","[email protected]         "
"KateW   ","Kate    ","White      ","[email protected]              "
Riki Lyng
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  • What did you try? Attach part of your dataframe. You could use `apply` with `rsplit`. – Anton Protopopov Dec 08 '15 at 08:26
  • You could also remove all the white spaces while reading the CSV in the dataframe. – Mel Dec 08 '15 at 08:51
  • Possible duplicate of [How to make separator in read\_csv more flexible wrt whitespace?](http://stackoverflow.com/questions/15026698/how-to-make-separator-in-read-csv-more-flexible-wrt-whitespace) – Mel Dec 08 '15 at 08:52

1 Answers1

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If you can split the reading from the removal of whitespace:

df = pd.read_csv('mycsv.csv')
df_nowhitespace = df.applymap(str.strip)
jmz
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