The module re provides support for regular expressions in Python. Below are main methods in this module.
re.search() : This method either returns None (if the pattern doesn’t match), or a re.MatchObject that contains information about the matching part of the string. This method stops after the first match, so this is best suited for testing a regular expression more than extracting data.
Match at index 14, 21 Full match: June 24 Month: June Day: 24
re.match() : This function attempts to match pattern to whole string. The re.match function returns a match object on success, None on failure.
re.match(pattern, string, flags=0) pattern : Regular expression to be matched. string : String where p attern is searched flags : We can specify different flags using bitwise OR (|).
Given Data: Jun 24 Month: Jun Day: 24 Not a valid date
re.findall() : Return all non-overlapping matches of pattern in string, as a list of strings. The string is scanned left-to-right, and matches are returned in the order found (Source : Python Docs).
Regular expression is a vast topic. It’s a complete library. Regular expressions can do a lot of stuff. You can Match, Search, Replace, Extract a lot of data. For example, below small code is so powerful that it can extract email address from a text. So we can make our own Web Crawlers and scrappers in python with easy.Look at below regex.
# extract all email addresses and add them into the resulting set new_emails = set(re.findall(r"[a-z0-9\.\-+_]+@[a-z0-9\.\-+_]+\.[a-z]+", text, re.I))
We will soon be discussing more methods on regular expressions.
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