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to how the engine executes the given re, and how to write the re in a specific way to make the bytecode run faster. This article does not involve optimization because it requires that you have a good grasp of the internal mechanism of the matching engine.Regular expression languages are relatively small and limited (limited functionality), so not all string processing can be done with regular expressions.
string
>>> print rawStringand this is a\nraw string
This is a string of the original type.
Search Using Regular Expressions in Python
The 'Re' module provides several methods for exact query of input strings. We will discuss the following methods:
• Re. match ()• Re. search ()• Re. findall ()
Each method receives a regular
(Obj.groupdict ())#Capture Group Dictionary key: capture Name value: ContentPrint(Obj.group ())Print(Obj.group (2))#Group (n=0)#Features:#gets the match object corresponding to the matching content#Parameters:#The default is 0 to get the whole match#If you assign a value of ... Represents getting the nth sub-group match to the content#return Value:#returns the re
{3})-(\d{3,8}) $ defines two groups, which can extract the area code and local numbers directly from the matching string:
>>> m = Re.match (R ' ^ (\d{3})-(\d{3,8}) $ ', ' 010-12345 ')
>>> m
>>> M.group (0)
' 010-12345 '
>>> M.group (1)
' 010 '
>>> M.group (2)
' 12345 '
>>> m.groups ()
(' 010 ', ' 12345 ')
Through the experiment, if you do not use parentheses, the resulting match object class can b
([‘"]) [^\1]*\1
Single or double quote string. \1 matches the first set of matches. \2 matches the second set of matches, and so on.
Alternative scenarios:
Example
Description
Python|perl
Match "Python" or "Perl"
Rub (Y|le))
Python re module-Regular Expression operation, pythonre
This module provides regular expression matching operations similar to Perl l. Unicode strings also apply.
The regular expression
Python re module-Regular Expression operation, pythonre
This module provides regular expression matching operations similar to Perl l. Unicode strings also apply.
The regular expression
Personally, the main use of it to do some complex string analysis, extract the desired informationLearning principles: Enough on the line, when needed in depth
The summary is as follows:
Special symbols in regular expressions:
"." Table any character"^" Table string Start"$" Table string end"*" "+" "?" followed by the characters, 0--Multiple, 1--Multiple, 0, or one*?, +?, ?? Match the conditions of the c
This module provides a regular expression matching operation similar to that of Perl L. The same is true for Unicode strings.
The regular expression uses the backslash "\" to represent a special form or as an escape character, which conflicts with the syntax of Python, so
:^(\d{3})-(\d{3,8})$Two groups are defined separately, and the area code and local numbers can be extracted directly from the matching string: >>> m = Re.match (r ' ^ ( \D{3})-(\d{3,8}) $ ', ' 010-12345 ') >>> m0, 9), Match= ' 010-12345 ' > >>> m.group (0) ' 010-12345 ' >>> m.group (1) ' 010 ' Span class= "Hljs-prompt" >>>> m.group (2) ' 12345 ' >>> m.groups () ( ' 010 ', ' 12345 ') Through the experiment, if you do not use parentheses, the res
From a string perspective, Chinese is not as neat and standard as English, which is an unavoidable reality. This article combines the online data and personal experience, take Python language as an example, a little summary. Welcome to add or pick the wrong. A little experience you can use the repr () function to view the original format of a string. This is useful for writing
pattern match, the regular expression in Python is greedy pattern matching, it will meet the requirements of the entire expression, as much as possible to match the characters, the concrete effect is shown in the following exampl
parameters, and returns a tuple in which the tuple is defined in a regular expression.#!python>>> p = re.compile (' (A (b) c) d ')>>> m = p.match (' ABCD ')>>> m.groups ()(' abc ', ' B ')Use the index to get the appropriate group content, for example: m.groups () [0]P2=re.compile (R "' (\d) +\w", Re. X>>> p2.
'ifM is notNone:Print("Match Success") Print(M.group ())Else: Print("Match failed")Run Result: Dot match ' 0 ' match succeeded#search for a real period (decimal point), and we escaped by using a backslash for the function of the period:patt314 ='3.14' #the point number that represents the
This module provides a regular expression matching operation similar to that of Perl L. The same is true for Unicode strings.The regular expression uses the backslash "\" to represent a special form or as an escape character, which conflicts with the syntax of Python, so
"Brown", "Martin" =brown only match Martin.
( !...)
Matches only if the specified expression does not match the next regular expression element, which is (= ...) The reverse operation.
(
If the prefix string at the current position of the str
the entire matching string, that is, the content of the entire variable x. 15 // http://www.cnblogs.com/sosoft/16 17 string x = "Live for nothing, die for something"; 18 Regex r = new Regex (@ "^ Live for no (?
(8) greedy and non-greedyThe engine of the regular expression is greedy. As long as the mode permits, it will match as many characters as possible. Add
This article mainly introduces the regular expression handler functions commonly used in Python. The syntax for the regular expressions in Python will summarize one more blog post.Re.matchRe.match tries to match a pattern from the
regular expressions to get, remove (filter), or replace HTML Tag code examples
1. Python uses a regular expression to retrieve html Zhongtian information. Example code:
#! /Usr/bin/env python #-*-coding: utf8-*-import re html = "
characters.
III. regular expressions
1. use the compile () function to compile regular expressions
Because the python code is eventually translated into bytecode and then executed on the interpreter. Therefore, it is easier to execute regular expressions that are frequently used in our code for pre-compilation.
Most
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