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Re: fixing an horrific formatted csv file.

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On 07/04/2014 12:28 PM, flebber wrote:
> On Friday, 4 July 2014 14:12:15 UTC+10, flebber  wrote:
>> I have taken the code and gone a little further, but I need to be able to protect myself against commas and single quotes in names.
>>
>>
>>
>> How is it the best to do this?
>>
>>
>>
>> so in my file I had on line 44 this trainer name.
>>
>>
>>
>> "Michael, Wayne & John Hawkes"
>>
>>
>>
>> and in line 95 this horse name.
>>
>> Inz'n'out
>>
>>
>>
>> this throws of my capturing correct item 9. How do I protect against this?
>>
>>
>>
>> Here is current code.
>>
>>
>>
>> import re
>>
>> from sys import argv
>>
>> SCRIPT, FILENAME = argv
>>
>>
>>
>>
>>
>> def out_file_name(file_name):
>>
>>      """take an input file and keep the name with appended _clean"""
>>
>>      file_parts = file_name.split(".",)
>>
>>      output_file = file_parts[0] + '_clean.' + file_parts[1]
>>
>>      return output_file
>>
>>
>>
>>
>>
>> def race_table(text_file):
>>
>>      """utility to reorganise poorly made csv entry"""
>>
>>      input_table = [[item.strip(' "') for item in record.split(',')]
>>
>>                     for record in text_file.splitlines()]
>>
>>      # At this point look at input_table to find the record indices
>>
>>      output_table = []
>>
>>      for record in input_table:
>>
>>          if record[0] == 'Meeting':
>>
>>              meeting = record[3]
>>
>>          elif record[0] == 'Race':
>>
>>              date = record[13]
>>
>>              race = record[1]
>>
>>          elif record[0] == 'Horse':
>>
>>              number = record[1]
>>
>>              name = record[2]
>>
>>              results = record[9]
>>
>>              res_split = re.split('[- ]', results)
>>
>>              starts = res_split[0]
>>
>>              wins = res_split[1]
>>
>>              seconds = res_split[2]
>>
>>              thirds = res_split[3]
>>
>>              prizemoney = res_split[4]
>>
>>              trainer = record[4]
>>
>>              location = record[5]
>>
>>              print(name, wins, seconds)
>>
>>              output_table.append((meeting, date, race, number, name,
>>
>>                                   starts, wins, seconds, thirds, prizemoney,
>>
>>                                   trainer, location))
>>
>>      return output_table
>>
>>
>>
>> MY_FILE = out_file_name(FILENAME)
>>
>>
>>
>> # with open(FILENAME, 'r') as f_in, open(MY_FILE, 'w') as f_out:
>>
>> #     for line in race_table(f_in.readline()):
>>
>> #         new_row = line
>>
>> with open(FILENAME, 'r') as f_in, open(MY_FILE, 'w') as f_out:
>>
>>      CONTENT = f_in.read()
>>
>>      # print(content)
>>
>>      FILE_CONTENTS = race_table(CONTENT)
>>
>>      # print new_name
>>
>>      f_out.write(str(FILE_CONTENTS))
>>
>>
>>
>>
>>
>> if __name__ == '__main__':
>>
>>      pass
> So I found this on stack overflow
>
> In [2]: import string
>
> In [3]: identity = string.maketrans("", "")
>
> In [4]: x = ['+5556', '-1539', '-99', '+1500']
>
> In [5]: x = [s.translate(identity, "+-") for s in x]
>
> In [6]: x
> Out[6]: ['5556', '1539', '99', '1500']
>
> but it fails in my file, due to I believe mine being a list of list. Is there an easy way to iterate the sublists without flattening?
>
> Current code.
>
>      input_table = [[item.strip(' "') for item in record.split(',')]
>                     for record in text_file.splitlines()]
>      # At this point look at input_table to find the record indices
>      identity = string.maketrans("", "")
>      print(input_table)
>      input_table = [s.translate(identity, ",'") for s
>                     in input_table]
>
> Sayth

Take Gregory's advice and use the csv module. Don't reinvent a csv 
parser. My "csv" splitter was the simplest approach possible, which I 
tend to use with undocumented formats, tweaking for unexpected features 
as they come along.

Frederic

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Thread

fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-01 07:04 -0700
  Re: fixing an horrific formatted csv file. MRAB <python@mrabarnett.plus.com> - 2014-07-01 15:32 +0100
  Re: fixing an horrific formatted csv file. "F.R." <anthra.norell@bluewin.ch> - 2014-07-01 22:49 +0200
    Re: fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-01 14:41 -0700
      Re: fixing an horrific formatted csv file. Chris Angelico <rosuav@gmail.com> - 2014-07-02 11:20 +1000
        Re: fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-02 02:13 -0700
          Re: fixing an horrific formatted csv file. "F.R." <anthra.norell@bluewin.ch> - 2014-07-02 17:51 +0200
            Re: fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-03 21:12 -0700
              Re: fixing an horrific formatted csv file. Gregory Ewing <greg.ewing@canterbury.ac.nz> - 2014-07-04 18:19 +1200
                Re: fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-04 03:48 -0700
              Re: fixing an horrific formatted csv file. flebber <flebber.crue@gmail.com> - 2014-07-04 03:28 -0700
                Re: fixing an horrific formatted csv file. "F.R." <anthra.norell@bluewin.ch> - 2014-07-04 15:24 +0200

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