| character | Features |
|---|---|
| | | About a match in any expression |
| (from) | The brackets character as a grouping |
\num |
Num matched reference packet string |
(?P<name>) |
Packet surnamed |
| (?P=name) | Reference packet matches the alias name string |
Example 1: |
Demand: matching the number between 0-100
#coding=utf-8
import re
ret = re.match("[1-9]?\d","8")
print(ret.group()) # 8 ret = re.match("[1-9]?\d","78") print(ret.group()) # 78 # 不正确的情况 ret = re.match("[1-9]?\d","08") print(ret.group()) # 0 # 修正之后的 ret = re.match("[1-9]?\d$","08") if ret: print(ret.group()) else: print("不在0-100之间") # 添加| ret = re.match("[1-9]?\d$|100","8") print(ret.group()) # 8 ret = re.match("[1-9]?\d$|100","78") print(ret.group()) # 78 ret = re.match("[1-9]?\d$|100","08") # print(ret.group()) # 不是0-100之间 ret = re.match("[1-9]?\d$|100","100") print(ret.group()) # 100 Example 2 :()
Requirements: match the 163,126, qq-mail
#coding=utf-8
import re
ret = re.match("\w{4,20}@163\.com", "[email protected]")
print(ret.group()) # [email protected] ret = re.match("\w{4,20}@(163|126|qq)\.com", "[email protected]") print(ret.group()) # [email protected] ret = re.match("\w{4,20}@(163|126|qq)\.com", "[email protected]") print(ret.group()) # [email protected] ret = re.match("\w{4,20}@(163|126|qq)\.com", "[email protected]") if ret: print(ret.group()) else: print("不是163、126、qq邮箱") # 不是163、126、qq邮箱 Not at the end of the phone number 4,7 (11)
import re
tels = ["13100001234", "18912344321", "10086", "18800007777"] for tel in tels: ret = re.match("1\d{9}[0-35-68-9]", tel) if ret: print(ret.group()) else: print("%s 不是想要的手机号" % tel) Extraction area code and phone number
>>> ret = re.match("([^-]*)-(\d+)","010-12345678")
>>> ret.group()
'010-12345678' >>> ret.group(1) '010' >>> ret.group(2) '12345678' Example 3: \
Requirements: a match<html>hh</html>
#coding=utf-8
import re
# 能够完成对正确的字符串的匹配
ret = re.match("<[a-zA-Z]*>\w*</[a-zA-Z]*>", "<html>hh</html>") print(ret.group()) # 如果遇到非正常的html格式字符串，匹配出错 ret = re.match("<[a-zA-Z]*>\w*</[a-zA-Z]*>", "<html>hh</htmlbalabala>") print(ret.group()) # 正确的理解思路：如果在第一对<>中是什么，按理说在后面的那对<>中就应该是什么 # 通过引用分组中匹配到的数据即可，但是要注意是元字符串，即类似 r""这种格式 ret = re.match(r"<([a-zA-Z]*)>\w*</\1>", "<html>hh</html>") print(ret.group()) # 因为2对<>中的数据不一致，所以没有匹配出来 test_label = "<html>hh</htmlbalabala>" ret = re.match(r"<([a-zA-Z]*)>\w*</\1>", test_label) if ret: print(ret.group()) else: print("%s 这是一对不正确的标签" % test_label) operation result:
<html>hh</html>
<html>hh</htmlbalabala> <html>hh</html> <html>hh</htmlbalabala> 这是一对不正确的标签 Example 4: \ number
Requirements: a match<html><h1>www.itcast.cn</h1></html>
#coding=utf-8
import re
labels = ["<html><h1>www.itcast.cn</h1></html>", "<html><h1>www.itcast.cn</h2></html>"]
for label in labels: ret = re.match(r"<(\w*)><(\w*)>.*</\2></\1>", label) if ret: print("%s 是符合要求的标签" % ret.group()) else: print("%s 不符合要求" % label) operation result:
<html><h1>www.itcast.cn</h1></html> 是符合要求的标签 <html><h1>www.itcast.cn</h2></html> 不符合要求 Example 5:(?P<name>) (?P=name)
Requirements: a match<html><h1>www.itcast.cn</h1></html>
#coding=utf-8
import re
ret = re.match(r"<(?P<name1>\w*)><(?P<name2>\w*)>.*</(?P=name2)></(?P=name1)>", "<html><h1>www.itcast.cn</h1></html>")
ret.group()
ret = re.match(r"<(?P<name1>\w*)><(?P<name2>\w*)>.*</(?P=name2)></(?P=name1)>", "<html><h1>www.itcast.cn</h2></html>") ret.group()