Python正则表达式Regular Expression初探

简介: Python正则表达式Regular Expression初探

Regular

Python的re模块提供了完整的正则表达式功能。正则表达式(Regular Expression)是一种强大的文本模式匹配工具,它能高效地进行查找、替换、分割等复杂字符串操作。

在Python中,通过 import re 即可引入这一神器。

匹配规则

单字符匹配

语法 功能 注意事项
. 匹配除换行符(\n)以外,任意一个字符。 \.匹配点本身
[] 匹配[]中列举的字符,可以是很多单个,也可以范围 范围写法例如[2-6],[“a”-”b”]
\d 匹配数字,即0-9  
\D 匹配非数字  
\s 匹配空白,即空格、tab键  
\S 匹配非空白  
\w 匹配单词字符,即a-z,A-Z,0-9,_  
\W 匹配非单词字符  

数量匹配

语法 功能 注意事项
* 匹配前一个规则的字符出现0至无数次  
+ 匹配前一个规则的字符出现1至无数次  
匹配前一个规则的字符出现0次或1次  
{n} 匹配前一个规则的字符出现n次  
{n,} 匹配前一个规则的字符出现最少n次  
{m,n} 匹配前一个规则的字符出现m到n次  

边界匹配

语法 功能 注意事项
^ 匹配字符串的开始 放在子表达式前
$ 匹配字符串的结束 放在子表达式后
\b 匹配单词的开始或结束  
\B 匹配不是单词开头或结束的位置  

分组匹配

语法 功能 注意事项
| 匹配左右任意一个表达式  
() 将匹配的内容里一部分抠出来就用括号 抠出的内容不止一个就放到元组里

贪婪与懒惰

语法 功能 注意事项
*? 重复任意次 尽可能少重复
+? 重复1次或更多次 尽可能少重复
?? 重复0次或一次 尽可能少重复
{n,m}? 重复nm 尽可能少重复
{n,}? 重复n次以上 尽可能少重复

原版说明

特殊字符

   The special characters are:
        "."      Matches any character except a newline.
        "^"      Matches the start of the string.
        "$"      Matches the end of the string or just before the newline at
                 the end of the string.
        "*"      Matches 0 or more (greedy) repetitions of the preceding RE.
                 Greedy means that it will match as many repetitions as possible.
        "+"      Matches 1 or more (greedy) repetitions of the preceding RE.
        "?"      Matches 0 or 1 (greedy) of the preceding RE.
        *?,+?,?? Non-greedy versions of the previous three special characters.
        {m,n}    Matches from m to n repetitions of the preceding RE.
        {m,n}?   Non-greedy version of the above.
        "\\"     Either escapes special characters or signals a special sequence.
        []       Indicates a set of characters.
                 A "^" as the first character indicates a complementing set.
        "|"      A|B, creates an RE that will match either A or B.
        (...)    Matches the RE inside the parentheses.
                 The contents can be retrieved or matched later in the string.
        (?aiLmsux) The letters set the corresponding flags defined below.
        (?:...)  Non-grouping version of regular parentheses.
        (?P<name>...) The substring matched by the group is accessible by name.
        (?P=name)     Matches the text matched earlier by the group named name.
        (?#...)  A comment; ignored.
        (?=...)  Matches if ... matches next, but doesn't consume the string.
        (?!...)  Matches if ... doesn't match next.
        (?<=...) Matches if preceded by ... (must be fixed length).
        (?<!...) Matches if not preceded by ... (must be fixed length).
        (?(id/name)yes|no) Matches yes pattern if the group with id/name matched,
                           the (optional) no pattern otherwise.
 

转义序列

    The special sequences consist of "\\" and a character from the list
    below.  If the ordinary character is not on the list, then the
    resulting RE will match the second character.
        \number  Matches the contents of the group of the same number.
        \A       Matches only at the start of the string.
        \Z       Matches only at the end of the string.
        \b       Matches the empty string, but only at the start or end of a word.
        \B       Matches the empty string, but not at the start or end of a word.
        \d       Matches any decimal digit; equivalent to the set [0-9] in
                 bytes patterns or string patterns with the ASCII flag.
                 In string patterns without the ASCII flag, it will match the whole
                 range of Unicode digits.
        \D       Matches any non-digit character; equivalent to [^\d].
        \s       Matches any whitespace character; equivalent to [ \t\n\r\f\v] in
                 bytes patterns or string patterns with the ASCII flag.
                 In string patterns without the ASCII flag, it will match the whole
                 range of Unicode whitespace characters.
        \S       Matches any non-whitespace character; equivalent to [^\s].
        \w       Matches any alphanumeric character; equivalent to [a-zA-Z0-9_]
                 in bytes patterns or string patterns with the ASCII flag.
                 In string patterns without the ASCII flag, it will match the
                 range of Unicode alphanumeric characters (letters plus digits
                 plus underscore).
                 With LOCALE, it will match the set [0-9_] plus characters defined
                 as letters for the current locale.
        \W       Matches the complement of \w.
        \\       Matches a literal backslash.
 

模块方法

 This module exports the following functions:
        match     Match a regular expression pattern to the beginning of a string.
        fullmatch Match a regular expression pattern to all of a string.
        search    Search a string for the presence of a pattern.
        sub       Substitute occurrences of a pattern found in a string.
        subn      Same as sub, but also return the number of substitutions made.
        split     Split a string by the occurrences of a pattern.
        findall   Find all occurrences of a pattern in a string.
        finditer  Return an iterator yielding a Match object for each match.
        compile   Compile a pattern into a Pattern object.
        purge     Clear the regular expression cache.
        escape    Backslash all non-alphanumerics in a string.
 
函数说明
match(pattern, string, flags=0)
    Try to apply the pattern at the start of the string, returning
    a Match object, or None if no match was found.

fullmatch(pattern, string, flags=0)
    Try to apply the pattern to all of the string, returning
    a Match object, or None if no match was found.

search(pattern, string, flags=0)
    Scan through string looking for a match to the pattern, returning
    a Match object, or None if no match was found.

sub(pattern, repl, string, count=0, flags=0)
    Return the string obtained by replacing the leftmost
    non-overlapping occurrences of the pattern in string by the
    replacement repl.  repl can be either a string or a callable;
    if a string, backslash escapes in it are processed.  If it is
    a callable, it's passed the Match object and must return
    a replacement string to be used.

subn(pattern, repl, string, count=0, flags=0)
    Return a 2-tuple containing (new_string, number).
    new_string is the string obtained by replacing the leftmost
    non-overlapping occurrences of the pattern in the source
    string by the replacement repl.  number is the number of
    substitutions that were made. repl can be either a string or a
    callable; if a string, backslash escapes in it are processed.
    If it is a callable, it's passed the Match object and must
    return a replacement string to be used.

split(pattern, string, maxsplit=0, flags=0)
    Split the source string by the occurrences of the pattern,
    returning a list containing the resulting substrings.  If
    capturing parentheses are used in pattern, then the text of all
    groups in the pattern are also returned as part of the resulting
    list.  If maxsplit is nonzero, at most maxsplit splits occur,
    and the remainder of the string is returned as the final element
    of the list.

findall(pattern, string, flags=0)
    Return a list of all non-overlapping matches in the string.

    If one or more capturing groups are present in the pattern, return
    a list of groups; this will be a list of tuples if the pattern
    has more than one group.

    Empty matches are included in the result.

finditer(pattern, string, flags=0)
    Return an iterator over all non-overlapping matches in the
    string.  For each match, the iterator returns a Match object.

    Empty matches are included in the result.

compile(pattern, flags=0)
    Compile a regular expression pattern, returning a Pattern object.

purge()
    Clear the regular expression caches

escape(pattern)
    Escape special characters in a string.
 

匹配模式

    Each function other than purge and escape can take an optional 'flags' argument
    consisting of one or more of the following module constants, joined by "|".
    A, L, and U are mutually exclusive.
        A  ASCII       For string patterns, make \w, \W, \b, \B, \d, \D
                       match the corresponding ASCII character categories
                       (rather than the whole Unicode categories, which is the
                       default).
                       For bytes patterns, this flag is the only available
                       behaviour and needn't be specified.
        I  IGNORECASE  Perform case-insensitive matching.
        L  LOCALE      Make \w, \W, \b, \B, dependent on the current locale.
        M  MULTILINE   "^" matches the beginning of lines (after a newline)
                       as well as the string.
                       "$" matches the end of lines (before a newline) as well
                       as the end of the string.
        S  DOTALL      "." matches any character at all, including the newline.
        X  VERBOSE     Ignore whitespace and comments for nicer looking RE's.
        U  UNICODE     For compatibility only. Ignored for string patterns (it
                       is the default), and forbidden for bytes patterns.
 

常用正则函数

re.match()    用于从字符串的开始位置进行匹配,如果起始位置匹配成功,结果为Match对象,否则结果为None。

re.search()    用于在整个字符串中搜索第一个匹配的值,如果匹配成功,结果为Match对象,否则结果为None。

re.findall()    用于在整个字符串搜索所有符合正则表达式的值,结果是一个列表类型。

re.sub ()    用于实现对字符串中指定子串的替换

re.split()    字符串中aplit(方法功能相同,都是分隔字符串

常用匹配规则

掌握正则的关键是根据规则来编写匹配样式,下面列出一些常用的Regular pattern:

1. 匹配出所有整数

>>> import re

>>> pat = '\d+'

>>> txt = 'No.123;Tel:1396260000'

>>> re.findall(pat, txt)

['123', '1396260000']

2. 匹配11位且13开头的整数

注意r'13\d{9}',13开头余下的9位数字用\d{9}表示

>>> import re

>>> txt = '''

... 001:13962600001

... 002:1330626001

... 003:18962600002

... 004:13106260003

... 005:16605200006

... '''

>>> pat = r'13\d{9}'

>>> re.findall(pat, txt)

['13962600001', '13106260003']

3. 更精确的手机号匹配

"1(?:[38]\d|4[579]|5[0-35-9]|7[0-35-8])\d{8}"

4. 电子邮箱匹配

r"[a-z.-]+@[[a-zA-Z0-9]+(\.[a-zA-Z]+){1,3}"

5. 匹配指定格式的日期

>>> s = "2020-01-01 1994-08-01 2023-12-31 1999-02-07 2024-02-10"

>>> re.findall('(20\d\d)-(\d\d)-(\d\d)', s)

6. 匹配html标签

>>> s = """<html>

<head>

<title>正则表达式</title>

</head>

<body></body>

</html>"""

>>> re.findall("(?si)<head>(.*)<\/head>", s)

7. 删除所有非数字

>>> re.sub(r'\D', "", '189-626-0001')

'1896260001'

8. 删除指定位置后的字符

>>> re.sub(r'#.*$', "", "import re # 导入正则库")

'import re '


目录
相关文章
|
3月前
|
Python
"揭秘!Python如何运用神秘的正则表达式,轻松穿梭于网页迷宫,一键抓取隐藏链接?"
【8月更文挑战第21天】Python凭借其强大的编程能力,在数据抓取和网页解析领域表现出高效与灵活。通过结合requests库进行网页请求及正则表达式进行复杂文本模式匹配,可轻松提取网页信息。本示例展示如何使用Python和正则表达式解析网页链接。首先确保已安装requests库,可通过`pip install requests`安装。接着,利用requests获取网页内容,并使用正则表达式提取所有`&lt;a&gt;`标签的`href`属性。
42 0
|
23天前
|
Python
【收藏备用】Python正则表达式的7个实用技巧
【收藏备用】Python正则表达式的7个实用技巧
18 1
|
27天前
|
数据安全/隐私保护 Python
Python实用正则表达式归纳
Python实用正则表达式归纳
|
1月前
|
Python
Python 正则表达式高级应用指南
正则表达式是文本模式匹配的强大工具,Python 的 `re` 模块支持其操作。本文介绍正则表达式的高级应用,包括复杂模式匹配(如邮箱、电话号码)、分组与提取、替换操作、多行匹配以及贪婪与非贪婪模式的区别。通过示例代码展示了如何灵活运用这些技巧解决实际问题。
24 7
|
24天前
|
JavaScript 前端开发 Scala
Python学习十:正则表达式
这篇文章是关于Python中正则表达式的使用,包括re模块的函数、特殊字符、匹配模式以及贪婪与非贪婪模式的详细介绍。
14 0
|
29天前
|
数据采集 开发者 Python
Python正则表达式之re.compile函数
`re.compile`是Python正则表达式处理中一个强大的工具,它通过预先编译正则表达式,不仅提升了执行效率,还增强了代码的组织性和可读性。掌握其使用,对于涉及文本分析、数据清洗、日志处理等领域的Python开发者来说,是非常必要的技能。正确并高效地应用这一功能,可以显著提升程序的性能和维护性。
42 0
|
2月前
|
索引 Python
30天拿下Python之正则表达式
30天拿下Python之正则表达式
15 0
|
2月前
|
数据采集 Python
Python正则表达式提取车牌号
Python正则表达式提取车牌号
|
2月前
|
数据采集 Python
Python正则表达式提取车牌号
Python正则表达式提取车牌号
|
2月前
|
存储 数据处理 Python
Python中利用正则表达式进行文本处理
【9月更文挑战第24天】本文通过深入浅出的方式,介绍如何在Python中使用正则表达式进行文本处理。我们将从基础语法开始,逐步深入到复杂匹配模式的构建,最后通过实际案例展示正则表达式在文本分析中的高效应用。文章旨在帮助读者掌握正则表达式的使用技巧,提高数据处理效率。