On Friday, 4 July 2014 16:19:09 UTC+10, Gregory Ewing wrote:
> flebber wrote:
>
> > 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?
>
>
>
> Use python's csv module to read the file. Don't try to
>
> do it yourself; the rules for handling embedded commas
>
> and quotes in csv are quite complicated. As long as
>
> the file is a well-formed csv file, the csv module
>
> should parse fields like that correctly.
>
>
>
> --
>
> Greg
True Greg worked easier
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
# identity = string.maketrans("", "")
# print(input_table)
# input_table = [s.translate(identity, ",'") for s
# in input_table]
output_table = []
for record in text_file:
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]
try:
prizemoney = res_split[4]
finally:
prizemoney = 0
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 = csv.reader(f_in)
# print(content)
FILE_CONTENTS = race_table(CONTENT)
# print new_name
f_out.write(str(FILE_CONTENTS))
if __name__ == '__main__':
pass
Sayth
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