Summary: in this tutorial, you’ll learn how to use the Python regex fullmatch()
to match the whole string with a regular expression.
Introduction to the Python regex fullmatch function
The fullmatch()
function returns a Match
object if the whole string matches the search pattern of a regular expression, or None
otherwise.
The syntax of the fullmatch()
function is as follows:
re.fullmatch(pattern, string, flags=0)
Code language: Python (python)
In this syntax:
pattern
specifies a regular expression to match.string
specifies the input string.flags
parameter is optional and defaults to zero. Theflags
parameter accepts one or more regex flags. Theflags
parameter changes how the regex engine matches the pattern.
Python regex fullmatch function example
The following example uses the fullmatch()
function to validate an email address:
import re email = '[email protected]' pattern = r'[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}' match = re.fullmatch(pattern, email) if match is not None: print(f'The email "{match.group()}" is valid') else: print(f'The email "{email}"" is not valid')
Code language: Python (python)
Output:
The email "[email protected]" is valid
Code language: Python (python)
The following defines a function that uses the fullmatch()
function to validate an email address. It returns True
if the email is valid or raises a ValueError
exception otherwise:
import re def is_email(s: str) -> bool: pattern = r'[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}' if re.fullmatch(pattern, s) is None: raise ValueError(f'The {s} is not a valid email address') return True
Code language: Python (python)
And you can use the is_email()
function to validate an email like this:
if __name__ == '__main__': try: if is_email('no-reply@pythontutorial'): print('The email is valid') except ValueError as e: print(e)
Code language: Python (python)
Output:
The no-reply@pythontutorial is not a valid email address
Code language: Python (python)
Python regex fullmatch vs match
Both fullmatch()
and match()
functions return a Match
object if they find a match.
The fullmatch()
function matches the whole string with a pattern while the match()
function only finds a match at the beginning of the string. See the following example:
import re s = 'Python 3' pattern = 'Python' # fullmatch match = re.fullmatch(pattern, s) if match is not None: print('fullmatch:', match.group()) # search match = re.match(pattern, s) if match is not None: print('match:', match.group())
Code language: Python (python)
Output:
match: Python
Code language: Python (python)
In this example, the fullmatch()
returns None
because the pattern Python
only matches the beginning of the string, not the whole string.
On the other hand, the match()
function matches the pattern at the beginning of the string and returns the match.
Python fullmatch vs. search
Both fullmatch()
and search()
functions return a Match
object if they find a match of a pattern in a string. However, the fullmatch()
matches the whole string while the search()
matches anywhere in the string.
For example:
import re s = 'Python 3' pattern = '\d' # fullmatch match = re.fullmatch(pattern,s) if match is not None: print(match.group()) # search match = re.search(pattern,s) if match is not None: print(match.group()) # 3
Code language: Python (python)
Output:
3
Code language: Python (python)
In this example, the pattern \d
matches a single digit. The fullmatch()
function returns None
because the whole string 'Python 3'
doesn’t match.
However, the search()
function returns a match because it could find the digit 3 at the end of the string.
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