" # 编写正则表达式 pattern =r'\b\d{6}\b' # 使用 re.findall 提取匹配项 result = re.findall(pattern, text) # 输出结果 print(result) \b是一个特殊的元字符,表示「单词边界」(word boundary)。它用于匹配单词的开始或结束位置,而不是匹配具体的字符。单词边界是指单词字符(字母
digit,space,word,boundary,数字空格字符边界,大写取反,.对一切 line = 'Person Information: Name:James Harden Phone:3124 ID Card:9527' #提取姓名 name = re.search(r'Name:(\w+)\b',line) print(name.group(1)) James #提取电话 phone = re.search('Phone:(\d)*\b',line) print(phone.group...
#allow for a word boundary the ? allows 0 or 1 word boundaries \nITEM or \n ITEM I # the first word 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 t...
text)print("Start match:",start_match.group())# 匹配字符串的结束位置end_match=re.search("regex\.$",text)print("End match:",end_match.group())# 匹配单词边界word_boundary_match=re.findall(r"\bworld\b",text)print("Word boundary match:",word_boundary_match)# 匹配非单词边界non_word...
Let’s see the working of these RegEx functions with definition and examples: 1. re.findall() Return all non-overlapping matches of pattern in string, as a list of strings. The string is scanned left-to-right, and matches are returned in the order found. ...
importpickle# 定义多个正则表达式regex_dict={'word_boundary':r'\b\w+\b','email':r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'}# 保存正则表达式字典到文件withopen('regex_dict.pickle','wb')asf:pickle.dump(regex_dict,f)# 加载保存的正则表达式字典文件withopen(...
\bis defined as the boundary between a\wand a\Wcharacter (or vice versa), or between\wand the beginning/end of the string, so the precise set of characters deemed to be alphanumeric depends on the values of theUNICODEandLOCALEflags. For example,r'\bfoo\b'matches'foo','foo.','(foo)...
\b Match empty string at word (\w+) boundary \B Match empty string not at word boundary \d Digit \D Non-digit \s Whitespace [ \t\n\r\f\v], see LOCALE,UNICODE \S Non-whitespace \w Alphanumeric: [0-9a-zA-Z_], see LOCALE ...
In this example, we will use the[\b\W\b]+regex pattern to cater to any Non-alphanumeric delimiters. Using this pattern we can split string by multiple word boundary delimiters that will result in a list of alphanumeric/word tokens. ...
Example pattern:a word boundary, the string"foo", then another word boundary importre# Replace "foo" when it's got non-words or line boundaries to the left and to the rightpattern=r'(?:\W|^)foo(?:\W|$)'replacement=" FOO "string='foo bar foo foofoo barfoobar foo're.sub(pattern...