re.MatchObject.groupdict() function in Python - Regex Last Updated : 29 Aug, 2020 Comments Improve Suggest changes Like Article Like Report This method returns a dictionary with the groupname as keys and the matched string as the value for that key. Syntax: re.MatchObject.groupdict() Return: A dictionary with groupnames as the keys and matched string as the value for the key. AttributeError: If a matching pattern is not found then it raise AttributeError. Consider the below example: Example 1: A program to create and print a detailed dictionary which will consist of username, website, and the domain. Python3 import re """We create a re.MatchObject and store it in match_object variable the '()' parenthesis are used to define a specific group""" match_object = re.match( r'(?P<Username>\w+)@(?P<Website>\w+)\.(?P<Domain>\w+)', '[email protected]') """ w in above pattern stands for alphabetical character + is used to match a consecutive set of characters satisfying a given condition so w+ will match a consecutive set of alphabetical characters The ?P<Username> in '()'(the round brackets) is used to capture subgroups of strings satisfying the above condition and the groupname is specified in the ''(angle brackets)in this case its Username.""" # generating a dictionary from the given emailID details = match_object.groupdict() # printing the dictionary print(details) Output: {'Username': 'jon', 'Website': 'geekforgeeks', 'Domain': 'org'} It's time to understand the above program. We use a re.match() method to find a match in the given string('[email protected]') the 'w' indicates that we are searching for an alphabetical character and the '+' indicates that we are searching for continuous alphabetical characters in the given string. Note the use of '()' the parenthesis is used to define different subgroups, in the above example, we have three subgroups in the match pattern. The '?P' syntax is used to define the groupname for capturing the specific groups. The result we get is a re.MatchObject which is stored in match_object. To know more about regex patterns visit this post. Python regex Example 2: If a match object is not found then it raises AttributeError. Python3 import re """We create a re.MatchObject and store it in match_object variable the '()' parenthesis are used to define a specific group""" match_object = re.match( r'(?P<Username>\w+)@(?P<Website>\w+)\.(?P<Domain>\w+)', '1234567890') """ w in above pattern stands for alphabetical character + is used to match a consecutive set of characters satisfying a given condition so w+ will match a consecutive set of alphabetical characters The ?P<Username> in '()'(the round brackets) is used to capture subgroups of strings satisfying the above condition and the groupname is specified in the ''(angle brackets)in this case its Username.""" # Following line will raise AttributeError exception print(match_object.groupdict()) Output: Traceback (most recent call last): File "/home/fae2ec2e63d04a63d590c2e93802a002.py", line 21, in print(match_object.groupdict()) AttributeError: 'NoneType' object has no attribute 'groupdict' Comment More infoAdvertise with us Next Article re.MatchObject.groupdict() function in Python - Regex H haridarshanc Follow Improve Article Tags : Python python-regex Practice Tags : python Similar Reads re.MatchObject.group() function in Python Regex re.MatchObject.group() method returns the complete matched subgroup by default or a tuple of matched subgroups depending on the number of arguments Syntax: re.MatchObject.group([group]) Parameter: group: (optional) group defaults to zero (meaning that it it will return the complete matched string). 3 min read re.MatchObject.groups() function in Python - Regex This method returns a tuple of all matched subgroups. Syntax: re.MatchObject.groups() Return: A tuple of all matched subgroups AttributeError: If a matching pattern is not found then it raise AttributeError. Consider the below example: Example 1: Python3 import re """We create a re.MatchObject and s 2 min read Python Regex - re.MatchObject.start() and re.MatchObject.end() functions In this article, we are going to see re.MatchObject.start() and re.MatchObject.end() regex methods. re.MatchObject.start() This method returns the first index of the substring matched by group. Syntax: re.MatchObject.start([group]) Parameter: group: (optional) group defaults to zero (meaning the who 2 min read re.MatchObject.span() Method in Python - regex re.MatchObject.span() method returns a tuple containing starting and ending index of the matched string. If group did not contribute to the match it returns(-1,-1). Syntax: re.MatchObject.span() Parameters: group (optional) By default this is 0. Return: A tuple containing starting and ending index o 2 min read re.match() in Python re.match method in Python is used to check if a given pattern matches the beginning of a string. Itâs like searching for a word or pattern at the start of a sentence. For example, we can use re.match to check if a string starts with a certain word, number, or symbol. We can do pattern matching using 2 min read re.finditer() in Python re.finditer() method in Python is used to search for all matches of a pattern in a string and return them as an iterator. In this article, we will explore about re.finditer() method in Python.Let's understand this with the help of an example:Pythonimport re text = "GFG, O, B, GFG, O" pattern = "GFG" 2 min read Pattern matching in Python with Regex You may be familiar with searching for text by pressing ctrl-F and typing in the words youâre looking for. Regular expressions go one step further: They allow you to specify a pattern of text to search for. In this article, we will see how pattern matching in Python works with Regex.Regex in PythonR 8 min read Python Regex: Replace Captured Groups Regular Expressions, often abbreviated as Regex, are sequences of characters that form search patterns. They are powerful tools used in programming and text processing to search, match, and manipulate strings. Think of them as advanced search filters that allow us to find specific patterns within a 5 min read re.fullmatch() function in Python re.fullmatch() returns a match object if and only if the entire string matches the pattern. Otherwise, it will return None. The flag at the end is optional and can be used to ignore cases etc. Syntax: re.fullmatch(pattern, string, flags=0) Parameters: pattern: the regular expression pattern that you 1 min read Like