Multiple delimiters with csv DictReader

[nuatpy]

I have a csv file that is mainly comma seperated, but one of the fields has currency values in the form "$1,378.59". By just specifying a delimiter:',' in my dialect, the above value gets parsed as 1.00 and 378.59. I would also like to include ' " ' as an additional delimiter so that the string inside the quotes gets read as one string. Is there a way I can do this or a workaround? Thanks!!

[bvdet]

I have a csv file that is mainly comma seperated, but one of the fields has currency values in the form "$1,378.59". By just specifying a delimiter:',' in my dialect, the above value gets parsed as 1.00 and 378.59. I would also like to include ' " ' as an additional delimiter so that the string inside the quotes gets read as one string. Is there a way I can do this or a workaround? Thanks!!

Using the csv module:

import csv
 
f = open('csv.txt', 'rb')
for item in csv.reader(f):
    print item

Sample output:
['Blues', 'Elwood', '1060 W Addison', 'Chicago, Illinois 60613']

Notice the comma in the last item. Any time a field has a comma, it must be enclosed by quotes like this:

Blues,Elwood,"1060 W Addison","Chicago, Illinois 60613"

[nuatpy]

Thanks for your response. So you are saying that the csv reader should automatically take care of the thousand-seperator if the value is enclosed in quotes. Heres what I am using:

class dialect(csv.excel):
delimiter = '\t'

py_dict = csv.DictReader(fileHandle,dialect=dialect)

And it somehow fails to recognize the quotes as a delimiter. Is it because I am overriding it with '\t'?

[bvdet]

Thanks for your response. So you are saying that the csv reader should automatically take care of the thousand-seperator if the value is enclosed in quotes. Heres what I am using:

class dialect(csv.excel):
delimiter = '\t'

py_dict = csv.DictReader(fileHandle,dialect=dialect)

And it somehow fails to recognize the quotes as a delimiter. Is it because I am overriding it with '\t'?

Try this:

f = open('csvtab.txt', 'rb')
for item in csv.reader(f, delimiter='\t'):
    print item

Data:
Blues Elwood 1060 W Addison "Chicago, Illinois 60613" B263-1655-2187 116 56

Output:
['Blues', 'Elwood', '1060 W Addison', 'Chicago, Illinois 60613', 'B263-1655-2187', '116', '56']