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Regular Expressions in Python – Set 2 (Search, Match and Find All)

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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 : 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.


# A Python program to demonstrate working of re.match(). 
import re 
# Lets use a regular expression to match a date string 
# in the form of Month name followed by day number 
regex = r"([a-zA-Z]+) (\d+)"
match =, "I was born on June 24"
if match != None
    # We reach here when the expression "([a-zA-Z]+) (\d+)" 
    # matches the date string. 
    # This will print [14, 21), since it matches at index 14 
    # and ends at 21. 
    print ("Match at index %s, %s" % (match.start(), match.end())) 
    # We us group() method to get all the matches and 
    # captured groups. The groups contain the matched values. 
    # In particular: 
    # always returns the fully matched string 
    #, ... return the capture 
    # groups in order from left to right in the input string 
    # is equivalent to 
    # So this will print "June 24" 
    print ("Full match: %s" % ( 
    # So this will print "June" 
    print ("Month: %s" % ( 
    # So this will print "24" 
    print ("Day: %s" % (
    print ("The regex pattern does not match.")

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 (|). 


# A Python program to demonstrate working
# of re.match().
import re
# a sample function that uses regular expressions
# to find month and day of a date.
def findMonthAndDate(string):
    regex = r"([a-zA-Z]+) (\d+)"
    match = re.match(regex, string)
    if match == None
        print ("Not a valid date")
    print ("Given Data: %s" % (
    print ("Month: %s" % (
    print ("Day: %s" % (
# Driver Code
findMonthAndDate("Jun 24")
findMonthAndDate("I was born on June 24")


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). 


# A Python program to demonstrate working of
# findall()
import re
# A sample text string where regular expression 
# is searched.
string  = """Hello my Number is 123456789 and
             my friend's number is 987654321"""
# A sample regular expression to find digits.
regex = '\d+'            
match = re.findall(regex, string)
# This example is contributed by Ayush Saluja.

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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Last Updated : 14 Dec, 2021
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