正则表达式很神奇啊
# -*- coding:utf-8 -*- import re def print_match_res(res): """打印匹配对象内容""" if res is not None: print(res.group()) else: print(None) # 两种匹配方式: pattern="[A-Z][a-z]+" # 一、使用re模块函数进行匹配 res=re.match(pattern,"Tom is a good boy") # 匹配,返回匹配对象 print(type(res)) print(res.group()) # 二、使用预编译后的正则表达式对象的方法进行匹配 obj_pattern=re.compile(pattern) # 预编译,返回正则表达式对象 print(type(obj_pattern)) res=obj_pattern.match("Tom is a good boy") # 匹配,返回匹配对象 print(type(res)) print(res.group()) # 匹配对象的group()和groups()方法 pattern="\d{3}-\d{5}" obj_pattern=re.compile(pattern) res=obj_pattern.search("家庭电话:000-88886") print(res.group()) # 返回整个匹配或特定子组 print(res.groups()) # 返回包含全部子组的元组 # match():从起始部分开始匹配,如果成功,返回匹配对象;失败,返回None。只匹配一次 pattern="my" # res=re.compile(pattern).match("my name is li") res=re.match(pattern,"my name is li") print_match_res(res) # search(): 从任意位置开始匹配,如果成功,返回匹配对象;失败,返回None。只匹配一次 pattern="my" # res=re.compile(pattern).search("it's my dog") res=re.search(pattern,"my name is li") print_match_res(res) # 查找全部 # findall(),finditer() res=re.findall(r"th\w+","This and that",re.I) print(res) res=re.finditer(r"th\w+","This and that",re.I) print(res) print(next(res).group(),next(res).group()) # 替换 # sub(),subn() res=re.sub("funny","fool","You are so funny") print(res) res=re.subn("funny","fool","You are so funny") print(res) # 分割 # splite() res=re.split("\.","Mr.Smith") print(res) print("#"*50) # 择一匹配符号 a|b pattern="I|You|She" res=re.compile(pattern,flags=re.IGNORECASE).match("i love you") print_match_res(res) res=re.compile(pattern,flags=re.I).search("who love you") print_match_res(res) # 匹配任意单个字符 . pattern="w{3,}\..+\.com" res=re.match(pattern,"wwww.google.com/index.html",re.I) print_match_res(res) # 字符集 [abc] [a-z0-9] pattern="[A-Za-z0-9_]*\." res=re.match(pattern,"Python3.?") print_match_res(res) # 特殊字符 \d \w \s \b \\ # 重复 + ? * {N,} {N,M} # 分组 (...) pattern="\w+@(\w{1,10}\.)*([a-z]*)" res=re.match(pattern,"li@gmail.com") print_match_res(res) res=re.match(pattern,"li@qq.vip.org") print_match_res(res) print(res.group(0),res.group(1),res.group(2),sep="\t") print(res.groups()) # 匹配字符串的起始和结尾,单词边界 ^a z$ \A \Z \b \B pattern=r"^the" # pattern=r"\Athe" res=re.search(pattern,"The end of the world") print_match_res(res) res=re.search(pattern,"they smile") print_match_res(res) pattern=r"cry$" # pattern=r"cry\Z" res=re.search(pattern,"they cry") print_match_res(res) res=re.search(r"\bthe","bit the dog") print_match_res(res) res=re.search(r"\Bhe","bit the dog") print_match_res(res)
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