Python Split String On Quotes
Solution 1:
I'll just add that if you were dealing with lines that look like they could be command line parameters, then you could possibly take advantage of the shlex module:
import shlex
withopen('somefile') as fin:
for line in fin:
print shlex.split(line)
Would give:
['Y:\\DATA\\00001\\SERVER\\DATA.TXT', 'V:\\DATA2\\00002\\SERVER2\\DATA2.TXT']
Solution 2:
No regex, no split, just use csv.reader
importcsvsample_line='10.0.0.1 foo "24/Sep/2015:01:08:16 +0800" www.google.com "GET /" -'
def main():
for l in csv.reader([sample_line], delimiter=' ', quotechar='"'):
print l
The output is
['10.0.0.1', 'foo', '24/Sep/2015:01:08:16 +0800', 'www.google.com', 'GET /', '-']
Solution 3:
shlex
module can help you.
import shlex
my_string = '"Y:\DATA\00001\SERVER\DATA.TXT""V:\DATA2\00002\SERVER2\DATA2.TXT"'
shlex.split(my_string)
This will spit
['Y:\\DATA\x0001\\SERVER\\DATA.TXT', 'V:\\DATA2\x0002\\SERVER2\\DATA2.TXT']
Reference: https://docs.python.org/2/library/shlex.html
Solution 4:
Finding all regular expression matches will do it:
input=r'"Y:\DATA\00001\SERVER\DATA.TXT" "V:\DATA2\00002\SERVER2\DATA2.TXT"'
re.findall('".+?"', # or '"[^"]+"', input)
This will return the list of file names:
["Y:\DATA\00001\SERVER\DATA.TXT", "V:\DATA2\00002\SERVER2\DATA2.TXT"]
To get the file name without quotes use:
[f[1:-1] for f in re.findall('".+?"', input)]
or use re.finditer
:
[f.group(1) for f in re.finditer('"(.+?)"', input)]
Solution 5:
The following code splits the line at each occurrence of the inverted comma character (") and removes empty strings and those consisting only of whitespace.
[s for s in line.split('"') if s.strip() != '']
There is no need to use regular expressions, an escape character, some module or assume a certain number of whitespace characters between the paths.
Test:
line = r'"Y:\DATA\00001\SERVER\DATA.TXT" "V:\DATA2\00002\SERVER2\DATA2.TXT"'
output = [s for s in line.split('"') if s.strip() != '']
print(output)
>>> ['Y:\\DATA\\00001\\SERVER\\DATA.TXT', 'V:\\DATA2\\00002\\SERVER2\\DATA2.TXT']
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