Regular Expressions in Python – Set 2 (Search, Match and Find All)
Last Updated :
14 Dec, 2021
Regular Expression in Python with Examples | Set 1
The module re provides support for regular expressions in Python. Below are main methods in this module.
Searching an occurrence of pattern
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.
Python3
import re
regex = r"([a-zA-Z]+) (\d+)"
match = re.search(regex, "I was born on June 24")
if match != None:
print ("Match at index %s, %s" % (match.start(), match.end()))
print ("Full match: %s" % (match.group(0)))
print ("Month: %s" % (match.group(1)))
print ("Day: %s" % (match.group(2)))
else:
print ("The regex pattern does not match.")
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Output :
Match at index 14, 21
Full match: June 24
Month: June
Day: 24
Matching a Pattern with Text
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 pattern is searched
flags : We can specify different flags
using bitwise OR (|).
Python3
import re
def findMonthAndDate(string):
regex = r"([a-zA-Z]+) (\d+)"
match = re.match(regex, string)
if match == None:
print ("Not a valid date")
return
print ("Given Data: %s" % (match.group()))
print ("Month: %s" % (match.group(1)))
print ("Day: %s" % (match.group(2)))
findMonthAndDate("Jun 24")
print("")
findMonthAndDate("I was born on June 24")
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Output:
Given Data: Jun 24
Month: Jun
Day: 24
Not a valid date
Finding all occurrences of a pattern
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).
Python3
import re
string =
regex = '\d+'
match = re.findall(regex, string)
print(match)
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Output :
['123456789', '987654321']
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 the 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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