python之表示字符_python代表任意字符

语法格式：

.	:	匹配任意一个字符（除了\n）
[]	:	匹配列表中的字符
\d	:	匹配数字，即0-9
\D	:	匹配非数字
\s	:	匹配空白、即空格（\n,\t)
\S	:	匹配非空格
\w	:	匹配单词字符，即a-z，A-Z,0-9,_
\W	:	匹配非单词字符
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示例

. 示例

import re

v1 = re.match('.', 'a')
v2 = re.match('.', '1')
v3 = re.match('.', '_')
v4 = re.match('.', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

》》》
<re.Match object; span=(0, 1), match='a'>
<re.Match object; span=(0, 1), match='1'>
<re.Match object; span=(0, 1), match='_'>
None

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\d示例

import re

v1 = re.match('\d', '1')
v2 = re.match('\d', 'a')
v3 = re.match('\d', '_')
v4 = re.match('\d', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

》》》
<re.Match object; span=(0, 1), match='1'>
None
None
None
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\D示例

import re

v1 = re.match('\D', '1')
v2 = re.match('\D', 'a')
v3 = re.match('\D', '_')
v4 = re.match('\D', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

>>>
None
<re.Match object; span=(0, 1), match='a'>
<re.Match object; span=(0, 1), match='_'>
<re.Match object; span=(0, 1), match='\n'>

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\s示例

import re

v1 = re.match('\s', '1')
v2 = re.match('\s', 'a')
v3 = re.match('\s', '_')
v4 = re.match('\s', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

》》》
None
None
None
<re.Match object; span=(0, 1), match='\n'>

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\S示例

import re

v1 = re.match('\S', '1')
v2 = re.match('\S', 'a')
v3 = re.match('\S', '_')
v4 = re.match('\S', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

>>>
<re.Match object; span=(0, 1), match='1'>
<re.Match object; span=(0, 1), match='a'>
<re.Match object; span=(0, 1), match='_'>
None

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\w示例

import re

v1 = re.match('\w', '1')
v2 = re.match('\w', 'a')
v3 = re.match('\w', '_')
v4 = re.match('\w', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

》》》
<re.Match object; span=(0, 1), match='1'>
<re.Match object; span=(0, 1), match='a'>
<re.Match object; span=(0, 1), match='_'>
None
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\W示例

import re

v1 = re.match('\W', '1')
v2 = re.match('\W', 'a')
v3 = re.match('\W', '_')
v4 = re.match('\W', '\n')

print(v1)
print(v2)
print(v3)
print(v4)

>>>
None
None
None
<re.Match object; span=(0, 1), match='\n'>

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[ ]示例

# 匹配手机号

import re

v1 = re.match('\d\d\d\d\d\d\d\d\d\d\d', '12345678912')
v2 = re.match('1[35789]\d\d\d\d\d\d\d\d\d', '18217752311')
v3 = re.match('1[35789]\d\d\d\d\d\d\d\d\d', '11217752311')

print(v1)
print(v2)
print(v3)

》》》
<re.Match object; span=(0, 11), match='12345678912'>
<re.Match object; span=(0, 11), match='18217752311'>
None

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