fixing an horrific formatted csv file.
F.R.
anthra.norell at bluewin.ch
Fri Jul 4 09:24:31 EDT 2014
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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