代码示例：pytext = "My phone number is 12345."pattern = r"\d+" # Matches one or more digitsmatches = re.findall(pattern, text)print(matches)输出：[‘12345’]量词 量词控制模式应重复多少次，这在数据长度变化时非常有用。当匹配重复的单词或短语，或者搜索电子邮件地址等长度可能变化的数据时，...
*Zero or more occurrences"he.*o"Try it » +One or more occurrences"he.+o"Try it » ?Zero or one occurrences"he.?o"Try it » {}Exactly the specified number of occurrences"he.{2}o"Try it » |Either or"falls|stays"Try it » ...
Let's try one more example. This RegEx[0-9]{2, 4}matches at least 2 digits but not more than 4 digits |-Alternation Vertical bar|is used for alternation (oroperator). Here,a|bmatch any string that contains eitheraorb ()-Group Parentheses()is used to group sub-patterns. For example...
on the line must begin with a capital I [tT][eE][mM] #then we need one character from each of the three sets this allows for unknown case \s+ # one or more white spaces this does allow for another \n not sure if I should change it \d{1,2} # require one or two digits \....
( [0123456789] + ) # one or more ASCII digits into $10 ) # end $8 | # or else nothing at all ) # end cluster group) }xi; # end $1 and whole pattern, enabling /x and /i modes 从软件工程的角度来看,在/x上面的模式版本。首先,有大量的代码重复,您可以看到相同的代码。[0123456789]...
The regular expression «[ \t\n]+» matches one or more spaces, tabs (\t), or newlines (\n). Other whitespace characters, such as carriage return and form feed(换页), should really be included too. Instead, we will use a built-in re abbreviation,\s, which means any whitespace ...
Searching functions scan a search string for one or more matches of the specified regex:FunctionDescription re.search() Scans a string for a regex match re.match() Looks for a regex match at the beginning of a string re.fullmatch() Looks for a regex match on an entire string re.findall...
import re regex = re.compile(r'coop') # 正则匹配替换 regex.sub('$$$','sdl...
regex_pattern = r'\d+' # d is a special character which means digits, + mean one or more times txt = 'This regular expression example was made on December 6, 2019 and revised on July 8, 2021' matches = re.findall(regex_pattern, txt) print(matches) # ['6', '2019', '8', '...
正则表达式(regular expression,简称regex),是一种字符串匹配的模式(pattern),是文本处理方面功能最强大的工具之一,主要用来完成文本的搜索、替换等操作。广泛运用于PHP、C# 、Java、C++ 、Perl 、VBScript 、Javascript、以及Python等,在代码中常简写为regex、regexp或re。