1. Common symbols of regular expressions
'.' 默认匹配除\n之外的任意一个字符,若指定flag DOTALL,则匹配任意字符,包括换行 '^' 匹配字符开头,若指定flags MULTILINE,这种也可以匹配上(r"^a","\nabc\neee",flags=re.MULTILINE) '$' 匹配字符结尾,或e.search("foo$","bfoo\nsdfsf",flags=re.MULTILINE).group()也可以 '*' 匹配*号前的字符0次或多次,re.findall("ab*","cabb3abcbbac") 结果为['abb', 'ab', 'a'] '+' 匹配前一个字符1次或多次,re.findall("ab+","ab+cd+abb+bba") 结果['ab', 'abb'] '?' 匹配前一个字符1次或0次 '{m}' 匹配前一个字符m次 '{n,m}' 匹配前一个字符n到m次,re.findall("ab{1,3}","abb abc abbcbbb") 结果'abb', 'ab', 'abb'] '|' 匹配|左或|右的字符,re.search("abc|ABC","ABCBabcCD").group() 结果'ABC' '(...)' 分组匹配,re.search("(abc){2}a(123|456)c", "abcabca456c").group() 结果 abcabca456c '\A' 只从字符开头匹配,re.search("\Aabc","alexabc") 是匹配不到的 '\Z' 匹配字符结尾,同$ '\d' 匹配数字0-9 '\D' 匹配非数字 '\w' 匹配[A-Za-z0-9] '\W' 匹配非[A-Za-z0-9] 's' 匹配空白字符、\t、\n、\r , re.search("\s+","ab\tc1\n3").group() 结果 '\t'
2. Common syntax
2.1 re.match matches from scratch
re.mathch(pattern,string,flags)
The first parameter is the regular expression Formula, here is "(\w+)\s", if the match is successful, a Match is returned, otherwise a None is returned;
The second parameter represents the string to be matched;
The third parameter is the Peugeot bit, which is used to control the matching method of the regular expression, such as: whether it is case-sensitive, multi-line matching, etc.
#匹配开头成功 >>> a=re.match("i",'inet 172.17.0.1 netmask 255.255.0.0 broadcast 0.0.0.0') >>> a.group() 'i' # 匹配开头失败 >>> a=re.match("n",'inet 172.17.0.1 netmask 255.255.0.0 broadcast 0.0.0.0') >>> a.group() Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'NoneType' object has no attribute 'group' >>> print(a) None #\w匹配 (不匹配特殊字符 空格等) >>> a=re.match("\w{4,10}",'inet 172.17.0.1 netmask 255.255.0.0 broadcast 0.0.0.0') >>> a.group() 'inet'
2.2 re.search
The re.search function will search for pattern matching within the string, only Returns the first match found, or None if the string does not match.
>>> a=re.search("\d+","sd234345resss") >>> a.group() '234345'
2.3 group and groups
>>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").group() >>> a 'sd234345resss' >>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").group(0) >>> a 'sd234345resss' >>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").group(1) >>> a 'sd' >>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").group(2) >>> a '234345' >>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").group(3) >>> a 'resss' >>> a=re.search("([a-z]*)(\d+)([a-z]*)","sd234345resss").groups() >>> a ('sd', '234345', 'resss')
2.4 re.findall(pattern,string,flags=0)
The above two methods are used to match single values, that is: they can only match strings One of them, if you want to match all elements in the string that meet the conditions, you need to use findall.
>>> a=re.findall("\d+","sd234/34*5resss") >>> a ['234', '34', '5']
2.5 re.sub(pattern,repl,string,count=0,flags=0)
Replace the matched string
>>> s="123abc456" >>> a=re.sub("\d+","SUB",s) >>> a 'SUBabcSUB'
More powerful than str.replace
2.6 re.split(pattern, string, maxsplit=0, flags=0)
Group according to the specified match
s="123aaa345bbb789ccc" >>> a=re.split("[a-z]*",s) >>> a ['123', '345', '789', ''] >>> a=re.split("[a-z]*",s,1) >>> a ['123', '345bbb789ccc'] >>> a=re.split("[a-z]*",s,2) >>> a ['123', '345', '789ccc']
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