Examples of common Python regular usage

下面列出Python正则表达式的几种匹配用法：
此外,关于正则的一切http://deerchao.net/tutorials/regex/regex.htm 

1.测试正则表达式是否匹配字符串的全部或部分 

regex=ur"" #正则表达式
if re.search(regex, subject):
 do_something()
else:
 do_anotherthing()

2.测试正则表达式是否匹配整个字符串 

regex=ur"\Z" #正则表达式末尾以\Z结束
if re.match(regex, subject):
     do_something()
else:
     do_anotherthing()

3.创建一个匹配对象，然后通过该对象获得匹配细节(Create an object with details about how the regex matches (part of) a string) 

regex=ur"" #正则表达式
match = re.search(regex, subject)
if match:
     # match start: match.start()
     # match end (exclusive): atch.end()
     # matched text: match.group()
     do_something()
else:
     do_anotherthing()

4.获取正则表达式所匹配的子串(Get the part of a string matched by the regex) 

regex=ur"" #正则表达式
match = re.search(regex, subject)
if match:
     result = match.group()
else:
     result = ""

5. 获取捕获组所匹配的子串(Get the part of a string matched by a capturing group) 

regex=ur"" #正则表达式
match = re.search(regex, subject)
if match:
     result = match.group(1)
else:
     result = ""

6. 获取有名组所匹配的子串(Get the part of a string matched by a named group) 

regex=ur"" #正则表达式
match = re.search(regex, subject)
 if match:
 result = match.group"groupname")
 else:
 result = ""

7. 将字符串中所有匹配的子串放入数组中(Get an array of all regex matches in a string) 

result = re.findall(regex, subject)

8.遍历所有匹配的子串(Iterate over all matches in a string) 

for match in re.finditer(r"<(.*&#63;)\s*.*&#63;/\1>", subject)
     # match start: match.start()
     # match end (exclusive): atch.end()
     # matched text: match.group()

9.通过正则表达式字符串创建一个正则表达式对象(Create an object to use the same regex for many operations) 

reobj = re.compile(regex)

10.用法１的正则表达式对象版本（use regex object for if/else branch whether (part of) a string can be matched） 

reobj = re.compile(regex)
if reobj.search(subject):
     do_something()
else:
     do_anotherthing()

11.用法２的正则表达式对象版本（use regex object for if/else branch whether a string can be matched entirely） 

reobj = re.compile(r"\Z")　＃正则表达式末尾以\Z 结束
if reobj.match(subject):
     do_something()
else:
     do_anotherthing()

 12.创建一个正则表达式对象，然后通过该对象获得匹配细节（Create an object with details about how the regex object matches (part of) a string） 

reobj = re.compile(regex)
 match = reobj.search(subject)
if match:
     # match start: match.start()
     # match end (exclusive): atch.end()
     # matched text: match.group()
     do_something()
else:
     do_anotherthing()

13.用正则表达式对象获取匹配子串（Use regex object to get the part of a string matched by the regex） 

reobj = re.compile(regex)
 match = reobj.search(subject)
if match:
     result = match.group()
else:
     result = ""

14.用正则表达式对象获取捕获组所匹配的子串（Use regex object to get the part of a string matched by a capturing group） 

reobj = re.compile(regex)
 match = reobj.search(subject)
if match:
     result = match.group(1)
else:
     result = ""

15.用正则表达式对象获取有名组所匹配的子串（Use regex object to get the part of a string matched by a named group） 

reobj = re.compile(regex)
 match = reobj.search(subject)
if match:
     result = match.group("groupname")
else:
     result = ""

16.用正则表达式对象获取所有匹配子串并放入数组（Use regex object to get an array of all regex matches in a string） 

reobj = re.compile(regex)
 result = reobj.findall(subject)

17.通过正则表达式对象遍历所有匹配子串（Use regex object to iterate over all matches in a string） 

reobj = re.compile(regex)
for match in reobj.finditer(subject):
     # match start: match.start()
     # match end (exclusive): match.end()
     # matched text: match.group()

18.字符串替换
 1).替换所有匹配的子串 

#用newstring替换subject中所有与正则表达式regex匹配的子串
result = re.sub(regex, newstring, subject)

2).替换所有匹配的子串（使用正则表达式对象） 

reobj = re.compile(regex)
 result = reobj.sub(newstring, subject)

19.字符串拆分
 1).字符串拆分 

result = re.split(regex, subject)

2).字符串拆分（使用正则表示式对象）
reobj = re.compile(regex)
 result = reobj.split(subject)

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。