http://wiki.python.org/moin/RegularExpression?action=AttachFile&do=get&target=regex_characters.png

flags when compiling:

http://taoriver.net/img/for_pi/regex_flags.png

(All images PD, released by author, LionKimbro.)

Searching & Matching

You can search or match.

You can also split on a pattern.

For example:

   1 import re
   2 split_up = re.split(r"(\(\([^)]+\)\))",
   3                     "This is a ((test)) of the ((emergency broadcasting station.))")

...which produces:

["This is a ", "((test))", " of the ", "((emergency broadcasting station.))" ]

Compiling

If you use a regex a lot, compile it first.

Consider:

   1 import re
   2 match_obj=re.match("<(.*?)>(.*?)</(.*?)>", "<h1>robot</h1>")
   3 print mo.groups()

...which outputs: ('h1', 'robot', 'h1')

If you were going to do that match a lot, you could compile it, like so:

   1 import re
   2 match_re=re.compile("<(.*?)>(.*?)</(.*?)>")
   3 match_obj=match_re.match("<h1>robot</h1>")
   4 print match_obj.groups()

...which yields the same result.

The relative speed of compiled versus non-compiled patterns can be shown using the timeit module:

python -m timeit -s 'import re' \
   'match_obj = re.match("<(.*?)>(.*?)</(.*?)>", "<h1>robot</h1>")'
1000000 loops, best of 3: 1.35 usec per loop

python -m timeit -s 'import re ; match_re = re.compile("<(.*?)>(.*?)</(.*?)>")' \
   'match_obj = match_re.match("<h1>robot</h1>")'
1000000 loops, best of 3: 0.572 usec per loop

The above numbers were produced on an Intel Core i7 3770k running Python 2.7.6 (circa 2014). You should run the above commands on your Python version and specific hardware, and use patterns that represent your problem domain, for more representative results.

See Also

Discussion

Requests

Problem?

The following feature does not seems to work in python:

For example, the ICU regular expression provides the following patterns:

-- anonymous

I don't understand the problem. -- LionKimbro 2006-03-25 16:31:35

Visualization

The image isn't meant to be explanatory, it is meant to be reference and refreshing material.

That said: The "match string" is the final product of either of the two above expressions. It is what the above two expressions will literally match. If you have a better phrase, or would like to correct "raw" to "regex," feel free to download the SVG, edit the text, place an image on the web, and link it from here. (The damn LongImageIncorporationProcess strikes again.) I may eventually get around to it myself one day, but it seems there are higher priorities, and the diagram is "good enough."

That said, I appreciate the correction. -- LionKimbro 2005-01-01 00:22:14

Image Hosting

At the top of this page were two images/scehmes about re. Is it possible to redraw them here somehow? That server is not working, maybe someone has them dowloaded locally. Thanks a lot. -- PavelKosina

I've uploaded one as an attachment, still need to upload the other... And, the source...

(Anyone can do this, though, when the computers are online.)

-- LionKimbro 2006-03-25 16:31:35


CategoryDocumentation

RegularExpression (last edited 2015-08-30 10:11:18 by pythonguru)

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