Python regular expressions-Python Tutorial-php.cn

Regular expression is a special sequence of characters that can help you easily check whether a string matches a certain pattern. Python has added the re module since version 1.5, which provides Perl-style regular expression patterns. The

re module brings full regular expression capabilities to the Python language. The

compile function generates a regular expression object based on a pattern string and optional flag arguments. This object has a series of methods for regular expression matching and replacement. The

re module also provides functions identical to these methods, which take a pattern string as their first argument.

This chapter mainly introduces the commonly used regular expression processing functions in Python.

re.match function

re.match attempts to match a pattern from the beginning of a string.

Function syntax:

re.match(pattern, string, flags=0)

Function parameter description:

Parameter

Description

pattern matching regular expression Formula

string The string to be matched.

flags flags are used to control the matching method of regular expressions, such as whether it is case-sensitive, multi-line matching, etc.

The re.match method returns a matching object if the match is successful, otherwise it returns None.

We can use group(num) or groups() matching object function to get the matching expression.

Matching object method

Description

group(num=0) Matches the string of the entire expression, group() can enter multiple group numbers at once, in which case it will return a string containing A tuple of values corresponding to those groups.

groups() Returns a tuple containing all group strings, from 1 to the group number contained in .

Example:

#!/usr/bin/python

import re

line = "Cats are smarter than dogs"

matchObj = re.match( r'(.* ) are (.*?) .*', line, re.M|re.I)

if matchObj:

print "matchObj.group() : ", matchObj.group()

print "matchObj .group(1) : ", matchObj.group(1)

print "matchObj.group(2) : ", matchObj.group(2)

else:

print "No match!!"

The execution result of the above example is as follows:

matchObj.group() : Cats are smarter than dogs

matchObj.group(1) : Cats

matchObj.group(2) : smarter

re.search method

re.match attempts to match a pattern from the beginning of the string.

Function syntax:

re.search(pattern, string, flags=0)

Function parameter description:

Parameter

Description

pattern matching regular expression Formula

string The string to be matched.

flags flags are used to control the matching method of regular expressions, such as whether it is case-sensitive, multi-line matching, etc.

The re.search method returns a matching object if the match is successful, otherwise it returns None.

We can use group(num) or groups() matching object function to get the matching expression.

Matching object method

Description

groups() Returns a tuple containing all group strings, from 1 to the group number contained in .

Example:

#!/usr/bin/python

import re

line = "Cats are smarter than dogs";

matchObj = re.match( r'(. *) are (.*?) .*', line, re.M|re.I)

if matchObj:

print "matchObj.group() : ", matchObj.group()

print " matchObj.group(1) : ", matchObj.group(1)

print "matchObj.group(2) : ", matchObj.group(2)

else:

print "No match!!"

The execution results of the above example are as follows:

matchObj.group() : Cats are smarter than dogs

matchObj.group(1) : Cats

matchObj.group(2) : smarter

The difference between re.match and re.search

re.match only matches the beginning of the string. If the beginning of the string does not match the regular expression, the match fails and the function returns None; while re.search matches the entire string until a match is found.

Example:

#!/usr/bin/python

import re

line = "Cats are smarter than dogs";

matchObj = re.match( r'dogs' , line, re.M|re.I)

if matchObj:

print "match --> matchObj.group() : ", matchObj.group()

else:

print "No match!! "

matchObj = re.search( r'dogs', line, re.M|re.I)

if matchObj:

print "search --> matchObj.group() : ", matchObj. group()

else:

print "No match!!"

The results of the above example are as follows:

No match!!

search --> matchObj.group() : Dogs

Retrieval and replacement

Python’s re module provides re.sub for replacing matches in a string.

Syntax:

re.sub(pattern, repl, string, max=0)

The returned string is replaced with the leftmost non-repeating match of RE in the string. If the pattern is not found, the character will be returned unchanged.

The optional parameter count is the maximum number of substitutions after pattern matching; count must be a non-negative integer. The default value is 0 which replaces all matches.

Example:

#!/usr/bin/python

import re

phone = "2004-959-559 # This is Phone Number"

# Delete Python-style comments

num = re.sub(r'#.*$', "", phone)

print "Phone Num : ", num

# Remove anything other than digits

num = re.sub(r 'D', "", phone)

print "Phone Num: ", num

The above example execution results are as follows:

Phone Num : 2004-959-559

Phone Num : 2004959559

Regular expression modifiers - optional flags

Regular expressions can contain some optional flag modifiers to control the matched patterns. The modifier is specified as an optional flag. Multiple flags can be specified by bitwise OR(|) them. For example, re.I | re.M is set to I and M flags:

Modifier

Description

re.I Make the match case-insensitive

re.L Do localization recognition (locale -aware) Match

re.M Multi-line matching, affecting ^ and $

re.S Make. Match all characters including newlines

re.U Parse characters according to the Unicode character set. This flag affects w, W, b, B.

re.X This flag makes writing regular expressions easier to understand by giving you more flexible formatting.

Regular expression pattern

Pattern strings use special syntax to represent a regular expression:

letters and numbers represent themselves. Letters and numbers in a regular expression pattern match the same string.

Most letters and numbers have different meanings when preceded by a backslash.

Punctuation characters only match themselves if they are escaped, otherwise they represent a special meaning.

The backslash itself needs to be escaped with a backslash.

Since regular expressions usually contain backslashes, you'd better use raw strings to represent them. Pattern elements (such as r'/t', equivalent to '//t') match the corresponding special characters.

The following table lists the special elements in the regular expression pattern syntax. If you use a pattern and provide optional flags arguments, the meaning of some pattern elements will change.

Pattern

Description

^ Matches the beginning of the string

$ Matches the end of the string.

. Matches any character, except newline characters. When the re.DOTALL flag is specified, it can match any character including newline characters.

[...] Used to represent a group of characters, listed separately: [amk] Matches 'a', 'm' or 'k'

[^...] Characters not in []: [^ abc] matches characters except a, b, c.

re* Matches 0 or more expressions.

re+ Matches 1 or more expressions.

re? Matches 0 or 1 fragments defined by the previous regular expression, greedy mode

re{ n}

re{ n,} Exactly matches n previous expressions.

re{ n, m} Match n to m times the fragment defined by the previous regular expression, greedy way

a| b Match a or b

(re) G matches the expression in parentheses, also represents a The group

(?imx) regular expression contains three optional flags: i, m, or x. Only affects the area in brackets.

(?-imx) Regular expression to turn off the i, m, or x optional flags. Only affects the area in brackets.

(?: re) Like (...), but does not represent a group

(?imx: re) Use i, m, or x optional flags in parentheses

(?-imx: re) in Do not use i, m, or x optional flags in parentheses

(?#...) Comment.

(?= re) Forward positive delimiter. Succeeds if the contained regular expression, represented by ... , successfully matches the current position, otherwise it fails. But once the contained expression has been tried, the matching engine doesn't improve at all; the remainder of the pattern still has to try the right side of the delimiter.

(?! re) Forward negative delimiter. Contrary to the positive delimiter; succeeds when the contained expression cannot be matched at the current position of the string

(?> re) An independent pattern matched, eliminating backtracking.

w Matches alphanumeric characters

W Matches non-alphanumeric characters

s Matches any whitespace character, equivalent to [tnrf].

S Matches any non-empty character

d Matches any digit, equivalent to [0-9 ].

D Matches any non-number

A Matches the beginning of the string

Z Matches the end of the string. If there is a newline, only the ending string before the newline is matched. c

z Match the end of the string

G Match the position where the last match is completed.

b Matches a word boundary, which refers to the position between a word and a space. For example, 'erb' matches 'er' in "never" but not "er" in "verb".

B Matches non-word boundaries. 'erB' matches 'er' in "verb" but not in "never".

n, t, etc. Matches a newline character. Matches a tab character. etc.

1...9 matches the subexpression of the nth group.

10 Matches the subexpression of the nth group if it is matched. Otherwise it refers to the expression of the octal character code.

Regular Expression Example

Character Match

Example

Description

python Match "python".

Character Class

Instance

Description