asp.net regular expressions [frequently used to]_ regular expressions

Source: Internet
Author: User
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Matching regular expressions for Chinese characters: [\U4E00-\U9FA5]

Commentary: Matching Chinese is really a headache, with this expression will be easy to do

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Match Double-byte characters (including Chinese characters): [^\x00-\xff]

Commentary: can be used to compute the length of a string (a double-byte character length meter 2,ascii 1 characters)

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A regular expression that matches a blank row: \n\s*\r

Commentary: can be used to delete blank lines

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Regular expression:< matching HTML tags (\s*?) [^>]*>.*?| < *? />

Commentary: The online version is too bad, the above can only match the part of the complex nested tags still powerless

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A regular expression that matches the end-end whitespace character: ^\s*|\s*$

Commentary: A useful expression that can be used to delete white-space characters (including spaces, tabs, page breaks, and so on) at the end of a line at the beginning

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Regular expression matching an email address: \w+ ([-+.] \w+) *@\w+ ([-.] \w+) *\.\w+ ([-.] \w+) *

Commentary: Form validation is useful

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Regular expressions that match URL URLs: [a-za-z]+://[^\s]*

Commentary: Online circulation of the version of the function is very limited, which can meet the basic requirements

Match account number is legal (beginning of letter, allow 5-16 bytes, allow alphanumeric underline): ^[a-za-z][a-za-z0-9_]{4,15}$
Commentary: Form validation is useful

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Match domestic phone number: \d{3}-\d{8}|\d{4}-\d{7}

Commentary: Match form such as 0511-4405222 or 021-87888822

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Matching Tencent QQ Number: [1-9][0-9]{4,}

Commentary: Tencent QQ number starting from 10000

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Match China ZIP Code: [1-9]\d{5} (?! \d)

Commentary: China postal code is 6 digits

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Matching ID: \d{15}|\d{18}

Commentary: China's ID card is 15-or 18-digit

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Matching IP address: \d+\.\d+\.\d+\.\d+

Commentary: Useful when extracting IP addresses

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Match a range: @ "<table>[\s\S]+?</table>"

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Matching connection address: </? (a| A) (.*?>|>)


Match a specific number:

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^\d*\.? [0-9]\d*$//matching digits (including decimals)
^[1-9]\d*$//Matching positive integer
^-[1-9]\d*$//matching negative integers
^-? [1-9]\d*$//matching integer
^[1-9]\d*|0$//matching nonnegative integer (positive integer + 0)
^-[1-9]\d*|0$//matching non positive integer (negative integer + 0)
^[1-9]\d*\.\d*|0\.\d*[1-9]\d*$//matching positive floating-point numbers
^-([1-9]\d*\.\d*|0\.\d*[1-9]\d*) $//matching negative floating-point number
^-? ([1-9]\d*\.\d*|0\.\d*[1-9]\d*|0?\.0+|0) $//matching floating-point number
^[1-9]\d*\.\d*|0\.\d*[1-9]\d*|0?\.0+|0$//matching nonnegative floating-point number (positive floating-point number + 0)
^ (-([1-9]\d*\.\d*|0\.\d*[1-9]\d*)) |0?\.0+|0$//matching non-positive floating-point numbers (negative floating-point number + 0)

Commentary: useful when dealing with large amounts of data, pay attention to corrections when applied

Match a specific string:
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^[a-za-z]+$//Match a 26-letter string
^[a-z]+$//Match a 26-letter uppercase String
^[a -z]+$//Match a string of 26 lowercase letters
^[a-za-z0-9]+$//Match a string of numbers and 26 English letters
^\w+$//Match A string of numbers, 26 English letters, or underscores
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