Sharing of commonly used regular expressions in js

This article mainly shares with you the commonly used regular expressions in js and made a summary. I hope it can help everyone.

Verify number: ^[0-9]*$
Verify n-digit number: ^\d{n}$
Verify at least n-digit number: ^\d{n,}$
Verify numbers with m-n digits: ^\d{m,n}$
Verify numbers starting with zero and non-zero: ^(0|[1-9][0-9]*)$
Verify a positive real number with two decimal places: ^[0-9]+(.[0-9]{2})?$
Verify a positive real number with 1-3 decimal places: ^[0-9]+ (.[0-9]{1,3})?$
Verify non-zero positive integers: ^\+?[1-9][0-9]*$
Verify non-zero negative integers ：^\-[1-9][0-9]*$
Verify non-negative integers (positive integers + 0) ^\d+$
Verify non-positive integers (negative integers + 0) ^((- \d+)|(0+))$
Verify a character of length 3: ^.{3}$
Verify a string of 26 English letters: ^[A-Za-z]+$
Verify a string consisting of 26 uppercase English letters: ^[A-Z]+$
Verify a string consisting of 26 lowercase English letters: ^[a-z]+$
Verify a string consisting of numbers and 26 A string consisting of 26 English letters: ^[A-Za-z0-9]+$
Verify a string consisting of numbers, 26 English letters or underscores: ^\w+$
Verify user password:^ [a-zA-Z]\w{5,17}$ The correct format is: starting with a letter, the length is between 6-18, and can only contain characters, numbers and underscores.
Verify whether it contains characters such as ^%&',;=?$\": [^%&',;=?$\x22]+
Verify Chinese characters: ^[\u4e00-\u9fa5],{ 0,}$
Verify email address: ^\w+[-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*$
Verify InternetURL: ^http://([\w-]+\.)+[\w-]+(/[\w-./?%&=]*)?$;^[a-zA -z]+://(w+(-w+)*)(.(w+(-w+)*))*(?S*)?$
Verification phone number: ^(\(\d{3, 4}\)|\d{3,4}-)?\d{7,8}$: --The correct format is: XXXX-XXXXXXX, XXXX-XXXXXXXX, XXX-XXXXXXX, XXX-XXXXXXXX, XXXXXXX, XXXXXXXX.
Verify ID number (15 or 18 digits): ^\d{15}|\d{}18$
Verify 12 months of the year: ^(0?[1-9]| 1[0-2])$ The correct format is: "01"-"09" and "1" "12"
Verify the 31 days of a month: ^((0?[1-9])|(( 1|2)[0-9])|30|31)$ The correct format is: 01, 09 and 1, 31.
Integer: ^-?\d+$
Non-negative floating point number (positive floating point number + 0): ^\d+(\.\d+)?$
Positive floating point number^(([0-9]+\.[0-9]*[1-9][0-9]*) |([0-9]*[1-9][0-9]*\.[0-9]+)|([0-9]*[1-9][0-9]*))$
Non-positive floating point number (negative floating point number + 0) ^((-\d+(\.\d+)?)|(0+(\.0+)?))$
Negative floating point number^( -(([0-9]+\.[0-9]*[1-9][0-9]*)|([0-9]*[1-9][0-9]*\. [0-9]+)|([0-9]*[1-9][0-9]*)))$
Floating point number^(-?\d+)(\.\d+)?

China phone number verification
The matching form is: 0511-4405222 or 021-87888822 or 021-44055520-555 or (0511)4405222
Regularexpression"(( d{3,4})|d{3,4}-)?d{7,8}(-d{3})*"
China Postal Code Verification
Matching format is such as: 215421
RegularExpression "d{6}"
E-mail verification
Matching form such as: justali@justdn.com
RegularExpression "w+([- +.]w+)*@w+([-.]w+)*.w+([-.]w+)*"
ID card verification
Matching format such as: 15-digit or 18-digit ID card
RegularExpression "d{18}|d{15}"
Commonly used number verification
RegularExpression
"d{n}" n is the rule Length
"d{n,m}" Length range from n to m
Illegal character verification
Match illegal characters such as: 6d267e5fab17ea8bc578f9e7e5e1570b & / ' |
Regular Expression [^a8093152e673feb7aba1828c43532094&/|'\]+
Date verification
Matching form such as: 20030718,030718
Range: 1900--2099
RegularExpression Formula ((((19){1}|(20){1})d{2})|d{2})[01]{1}d{1}[0-3]{1}d{1 }

Matching domestic phone numbers:\d{3}-\d{8}|\d{4}-\d{7}
Comment: Matching format such as 0511-4405222 or 021-87888822
Matches Tencent QQ number: [1-9][0-9]{4,}
Comment: Tencent QQ number starts from 10000
Matches Chinese postal code: [1-9]\d{5 }(?!\d)
Comment: China’s postal code is 6 digits
Matching ID card: \d{15}|\d{18}
Comment: China’s ID card is 15 digits or 18 bits
Match ip address: \d+\.\d+\.\d+\.\d+
Comment: Useful when extracting ip address
Extract ip address in information:
(\d+) \.(\d+)\.(\d+)\.(\d+)
Extracting the Chinese mobile phone number in the information:
(86)*0*13\d{9}
Extracting the information Chinese landline phone number:
(\(\d{3,4}\)|\d{3,4}-|\s)?\d{8}
Extract the Chinese phone number in the information (Including mobile and landline phones):
(\(\d{3,4}\)|\d{3,4}-|\s)?\d{7,14}
Extracting information China postal code:
[1-9]{1}(\d+){5}
Extract the Chinese ID number in the information:
\d{18}|\d{15}
Extract integers in the information:
\d+
Extract floating point numbers (i.e. decimals) in the information:
(-?\d*)\.?\d+
Extract any in the information Numbers:
(-?\d*)(\.\d+)?
Extract Chinese strings in the information:
[\u4e00-\u9fa5]*
Extract double characters in the information Section string (Chinese characters):
[^\x00-\xff]*
Extract the English string in the information:
\w*
Extract the network link in the information:
( h|H)(r|R)(e|E)(f|F) *= *('|")?(\w|\\|\/|\.)+('|"| *|> ;)?
Extract the email address in the message:
\w+([-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\ w+)*
Extract the picture link in the information:
(s|S)(r|R)(c|C) *= *('|")?(\w|\\|\/| \.)+('|"| *|>)?

Match specific numbers:

^[1-9]\d*$　　 //匹配正整数 
^-[1-9]\d*$ 　 //匹配负整数 
^-?[1-9]\d*$　　 //匹配整数 
^[1-9]\d*|0$　 //匹配非负整数（正整数 + 0） 
^-[1-9]\d*|0$　　 //匹配非正整数（负整数 + 0） 
^[1-9]\d*\.\d*|0\.\d*[1-9]\d*$　　 //匹配正浮点数 
^-([1-9]\d*\.\d*|0\.\d*[1-9]\d*)$　 //匹配负浮点数 
^-?([1-9]\d*\.\d*|0\.\d*[1-9]\d*|0?\.0+|0)$　 //匹配浮点数 
^[1-9]\d*\.\d*|0\.\d*[1-9]\d*|0?\.0+|0$　　 //匹配非负浮点数（正浮点数 + 0） 
^(-([1-9]\d*\.\d*|0\.\d*[1-9]\d*))|0?\.0+|0$　　//匹配非正浮点数（负浮点数 + 0）

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