Python: Learn Python Regular Expressions FAST! - The Ultimate Crash Course to Learning the Basics of Python Regular Expressions In No Time (Python, Python ... Python Regular Expressions Books) by Acodemy
Author:Acodemy [Acodemy]
Language: eng
Format: epub, pdf
Published: 2015-06-13T18:30:00+00:00
Regular Expression Objects
Compiled regex objects back the below methods and attributes:
regex.search(string[, pos[, endpos]])
Scan via string looking for a position in which this regex creates a map, and reverts back a respective match object. Revert back ‘None’ in case no location in the string maps the pattern; it is to be considered that this is distinct from discovering a 0-length map at a particular point in the string.
The elective second parameter pos offers an index in the string in which the search is to begin; it defaults to zero. It is not totally equal to slicing the string; '^' matches at the real beginning of the string and at positions just after a newline, but not necessarily at the index where the search is to start.
The elective parameter endpos restricts how large the string would be searched; it would be like the string is endpos characters in length, hence just the characters from pos to endpos - 1 would be found for a map. In case endpos is lower than than pos, there will not be any match found ;in other case , in case rx is a compiled regexp object, rx.search(string, 0, 60) is same as rx.search(string[:60], 0).
>>>
>>> pattern = re.compile("d")
>>> pattern.search("cow")
<_sre.SRE_Match object at ...>
>>> pattern.search("cow", 1)
regex.match(string[, pos[, endpos]])
If 0 or more characters at the starting of string match this regex, revert back a respective match object. Revert back ‘None’ in case the string does not map the pattern; it is to be considered that this is distinct from a 0-length match.
The elective pos and endpos parameters have the similar sense as for the search() process.
>>>
>>> pattern = re.compile("o")
>>> pattern.match("cow")
>>> pattern.match("cow", 1)
<_sre.SRE_Match object at ...>
If you wish to find a map anywhere in string, employ search() as an alternative.
regex.split(string, maxsplit=0)
Similar to the split() function, employing the compiled pattern.
regex.findall(string[, pos[, endpos]])
Just like the findall() function, employing the compiled pattern, it also accepts elective pos and endpos parameters that limit the search region like for match().
regex.finditer(string[, pos[, endpos]])
Similar to the finditer() function, employing the compiled pattern, but also accepts optional pos and endpos parameters that restrict the search region such as for match().
regex.sub(repl, string, count=0)
Similar to the sub() function, by employing the compiled pattern.
regex.subn(repl, string, count=0)
Similar to the subn() function, by employing the compiled pattern.
regex.groups: The count of capturing clusters in the pattern.
regex.groupindex
A dictionary matching any figurative group names characterized by (?P<id>) to group counts. The dictionary is null in case no symbolic groups were employed in the pattern.
regex.pattern
The pattern string wherein the regular expression object was compiled.
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Python: Learn Python Regular Expressions FAST! - The Ultimate Crash Course to Learning the Basics of Python Regular Expressions In No Time (Python, Python ... Python Regular Expressions Books) by Acodemy.pdf
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