Syntax error What is the groups() method in regular expressions in Python?

What is the groups() method in regular expressions in Python?

In Python, we can use regular expressions when looking for patterns in text. So we have a useful method called groups() in Python. This method helps us to find and manage many parts of a pattern. So in this article will explain how the groups() method works.

The groups() Method

The match.group() function in Python's re module is used to get the captured groups after a successful regular expression match. When a regular expression uses parentheses, it creates capturing groups with the matched substrings. The match.group() method returns the captured substrings. The following is the syntax of the groups() method -

match.groups()

Example 1

Here is a simple example of how we can use the groups() method in Python. The pattern we will look for is a date written in the format "DD/MM/YYYY," where "DD" is the day, "MM" is the month, and "YYYY" is the year. Let's see how this works -

import re

pattern = r'(\d{2})/(\d{2})/(\d{4})'
text = 'The date is 25/03/2025'
match = re.search(pattern, text)
if match:
    print("Matched groups:", match.groups())
else:
    print("No match found")

When you run the above code, it will output the following -

Matched groups: ('25', '03', '2025')

Example 2

Here is another example of how we can use the groups() method in Python. Here we will find a person's name and age from a text string. It will check if this pattern matches the text. If a match is found, the code will print the captured groups. And it will show us the name and age separately.

import re

text = "Name: Amit, Age: 30"
match = re.search(r'Name: (\w+), Age: (\d+)', text)

if match:
   print(match.groups())

When you execute the above program, it will output the following -

('Amit', '30')

Example 3

In this example, we will learn how to use Python's regular expressions to extract an email address from a string. Our goal is to determine and save the various components of an email address included in the text.

We are using the text "Contact us at help@example.com." This sentence shows that we can reach someone by email. The email address we want to extract is "help@example.com."

import re

email = "Contact us at help@example.com"
match = re.search(r'(\w+)@(\w+)\.(\w+)', email)

if match:
    print(match.groups())

When you execute the above program, it will output the following -

('help', 'example', 'com')
Updated on: 2025-04-24T12:33:32+05:30

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