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This article introduces the knowledge of "summarizing regular expressions commonly used in python". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Check the mobile phone number # requirements: the mobile phone number must be 11 digits, starting with 1, and the second digit must be 1 or 5 or 8. Import redef verify_mobile (): mob = input ("Please enter your mobile phone number:") ret = re.match (r "1 [358]\ d {9}" Mob) if ret: print ("Mobile number matching is correct") else: print ("matching error") verify_mobile () check email import redef verify_email (): email = input ("Please enter email:") ret = re.match (r'^ [a-zA-Z0-9 match -] + (\ .[ a-zA-Z0-9 match -] +) {0pm 4} @ [a-zA -Z0-9 percent -] + (\ .[ a-zA-Z0-9 percent -] +) {0jue 4} $' Email) if ret: print ("email match is correct") else: print ("matching error") verify_email () verify ID card import redef verify_card (): card = input ("Please enter ID card:") ret = re.match (r'^ ([1-9]\ d {5} [12]\ d {3} (0 [1-9] | 1 [0-2])) (0 [ 1-9] | 1 [0-9] | 2 [0-9] | 3 [0-1])\ d {3} (\ d | X | x)) $' Card) if ret: print ("ID card matching is correct") else: print ("matching error") verify_card () Verification date year-month-day import redef verify_date (): date = input ("Please enter year, month and day:") ret = re.match (r'^ (\ d {4} -\ d {1jue 2} -\ d {1m 2}) $' Date) if ret: print ("date match is correct") else: print ("match error") verify_date () validate the expression of the number matching digits: ^ [0-9] * $matching n digits: ^\ d {n} $matching zero and non-zero beginning numbers: ^ (0 | [1-9] [0-9] *) $matching positive, negative, And decimals: ^ (\-|\ +)?\ d+ (\.\ d+)? $matches positive integers that are non-zero: ^ [1-9]\ dcards $or ^ ([1-9] [0-9] *) {1pr 3} $or ^\ +? [1-9] [0-9] * $matches non-zero negative integers: ^\-[1-9] [] 0-9 "* $or ^-[1-9]\ dcards $matches non-negative integers Number: ^\ dmatching $or ^ [1-9]\ d* | 0$ matching non-positive integers: ^-[1-9]\ d* | 0$ or ^ ((-\ d+) | (0 +)) $matching floating-point numbers: ^ (-?\ d+) (\.\ d+)? $or ^ -? ([1-9]\ d*\.\ d* | 0.\ d* [1-9]\ d* | 0?\ .0 + | 0) $matching positive floating point number: ^ [1-9] ]\ d*\.\ d* | 0.\ d* [1-9]\ dfloat $matching negative floating point numbers: ^-([1-9]\ d*\.\ d* | 0.\ d* [1-9]\ d*) $matching non-positive floating point numbers: ^ ((-\ d+ (\.\ d+)?) | (0 + (\ .0 +)?)) $matching non-negative floating point numbers: ^\ d+ (\.\ d+)? $or ^ [1 -9]\ d *.\ d * | 0\.\ d * [1-9]\ d * | 0?\ .0 + | 0$ the expression of the verification character matches the Chinese character: ^ [\ u4e00 -\ u9fa5] {0 } $match English and numbers: ^ [A-Za-z0-9] + $or ^ [A-Za-z0-9] {4pm 40} $string consisting of matching uppercase letters: ^ [Amurz] + $matching string of lowercase letters: ^ [Amurz] + $string of matching uppercase and lowercase English: ^ [A-Za-z] + $matching Chinese, English, Numbers include underscores: ^ [\ u4E00 -\ u9FA5A-Za-z0-9] + $forbids entering characters containing ~: [^ ~\ x22] + "Summary of regular expressions commonly used in python" ends here Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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