Mo = reg.search('There is a superwowowoman') Since, the string has no (wo) group we didn’t got match. The (wo)+ tells that the (wo) group can appear 1 or more time in string. 6) Plus(+)Ĭauses the resulting regular expression to match 1 or more repetition of preceding regular expression import re Since, (wo) is repeated twice we got the match. Mo = reg.search('There is a superwowoman') There is no presence of (wo) group and still we got the match. The (wo)* tells that the group (wo) can appear 0 or more time. 5) Asterisk(*)Ĭauses the resulting regular expression to match 0 or more repetition of preceding regular expression import re Since the (wo) group appear twice, we couldn’t get the match. So we got None as output. ‘?’ allows zero one one time repetition, which is the reason we got the match. Here, the (wo) group is completely absent. Here, the (wo) group appear once in ‘text’ so we got match.
The (wo)? Tells that the (wo) group can appear one or zero time in string. It causes the resulting regular expression to match 0 or 1 repetition of preceding regular expression import re Here, None output show that the string doesn’t end with “Nep”. Here, the output we got show that the string ends with Nepal. Here, we got None as output because string doesn’t start with “am”. Here, we got output as “I” because the string starts with “I”. Matches the start of the string import re Matches any characters except new line import re Metacharacters are the characters with special meaning. Some of the metacharacters in regular expression are: 1) Dot(.) This sub() function substitutes the certain word with another word that is required to be substituted. This split() function returns a list where the string has been split at each match import re It is because search() function returns only a first match. Here we got only mobile number but not telephone number. Returns a match object if there is any match in the string import re It returns a list containing all the matches import re Some of the function that assist us to search a string in text are as follows: 1) Findall() Pattern is so created that it will look for pattern starting with “+” followed by three decimal number followed by space and ten decimal numbers. Here, d represents the decimal number(0-9). We’ve created a search pattern using compile function of re module.
#Python regex for number code#
Just few lines of code and result is same.
#Python regex for number verification#
Now, let’s see how phone number verification can be done with regular expression: import re Then finally it checks all the remaining characters are decimal or not, if not it returns False. Then it checks there is space or not, if not it returns False. Then, it checks first three characters after “+” are decimal or not, if not it returns False. Then it checks the text begins with “+” or not, if not it returns False. Explanation of steps of verificationįirst of all, code checks whether the length of supplied text(mobile number for verification in string) is of length 15 or not, if not it returns False. We assume that the country code and 10 digit phone number is separated by space. And then phone number has 10 digits in it. As we know country code for Nepal is +977. We’ve taken mobile number of Nepal for verification. If this task is to be done manually without regular expression can be done in this way: def isValidNumber(text):
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