Collections.UserString in Python

Last Updated : 31 Aug, 2021

Strings are the arrays of bytes representing Unicode characters. However, Python does not support the character data type. A character is a string of length one.
Example:

Python3

# Python program to demonstrate
# string

# Creating a String  
# with single Quotes 
String1 = 'Welcome to the Geeks World'
print("String with the use of Single Quotes: ") 
print(String1) 
  
# Creating a String 
# with double Quotes 
String1 = "I'm a Geek"
print("\nString with the use of Double Quotes: ") 
print(String1)

Output:

String with the use of Single Quotes: 
Welcome to the Geeks World

String with the use of Double Quotes: 
I'm a Geek

Note: For more information, refer to Python String

Collections.UserString

Python supports a String like a container called UserString present in the collections module. This class acts as a wrapper class around the string objects. This class is useful when one wants to create a string of their own with some modified functionality or with some new functionality. It can be considered as a way of adding new behaviors for the string. This class takes any argument that can be converted to string and simulates a string whose content is kept in a regular string. The string is accessible by the data attribute of this class.
Syntax:

collections.UserString(seq)

Example 1:

Python3

# Python program to demonstrate
# userstring


from collections import UserString


d = 12344

# Creating an UserDict
userS = UserString(d)
print(userS.data)


# Creating an empty UserDict
userS = UserString("")
print(userS.data)

Output:

Example 2:

Python3

# Python program to demonstrate
# userstring
 

from collections import UserString
 

# Creating a Mutable String
class Mystring(UserString):
    
    # Function to append to
    # string
    def append(self, s):
        self.data += s
        
    # Function to remove from 
    # string
    def remove(self, s):
        self.data = self.data.replace(s, "")
    
# Driver's code
s1 = Mystring("Geeks")
print("Original String:", s1.data)

# Appending to string
s1.append("s")
print("String After Appending:", s1.data)

# Removing from string
s1.remove("e")
print("String after Removing:", s1.data)

Output:

Original String: Geeks
String After Appending: Geekss
String after Removing: Gkss

N

nikhilaggarwal3

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python Collections Module

The collection Module in Python provides different types of containers. A Container is an object that is used to store different objects and provide a way to access the contained objects and iterate over them. Some of the built-in containers are Tuple, List, Dictionary, etc. In this article, we will

Namedtuple in Python

Python supports a type of container dictionary called "namedtuple()" present in the module "collections". In this article, we are going to see how to Create a NameTuple and operations on NamedTuple.What is NamedTuple in Python?In Python, NamedTuple is present inside the collections module. It provid

Deque in Python

A deque stands for Double-Ended Queue. It is a data structure that allows adding and removing elements from both ends efficiently. Unlike regular queues, which are typically operated on using FIFO (First In, First Out) principles, a deque supports both FIFO and LIFO (Last In, First Out) operations.E

ChainMap in Python

Python contains a container called "ChainMap" which encapsulates many dictionaries into one unit. ChainMap is member of module "collections". Example: Python3 # Python program to demonstrate # ChainMap from collections import ChainMap d1 = {'a': 1, 'b': 2} d2 = {'c': 3, 'd': 4} d3 = {'e': 5, 'f': 6}

Python | Counter Objects | elements()

Counter class is a special type of object data-set provided with the collections module in Python3. Collections module provides the user with specialized container datatypes, thus, providing an alternative to Python's general-purpose built-ins like dictionaries, lists, and tuples. Counter is a sub-c

OrderedDict in Python

OrderedDict is a subclass of Python's built-in dictionary dict that remembers the order in which keys are inserted. Unlike older versions of Python where dictionaries did not guarantee order, OrderedDict preserves insertion order reliably.Note: From Python 3.7 onwards, the built-in dict also preserv

Defaultdict in Python

In Python, defaultdict is a subclass of the built-in dict class from the collections module. It is used to provide a default value for a nonexistent key in the dictionary, eliminating the need for checking if the key exists before using it.Key Features of defaultdict:When we access a key that doesn'

Collections.UserDict in Python

An unordered collection of data values that are used to store data values like a map is known as Dictionary in Python. Unlike other Data Types that hold only a single value as an element, Dictionary holds key:value pair. Key-value is provided in the dictionary to make it more optimized. Note: For mo

Collections.UserList in Python

Python Lists are array-like data structure but unlike it can be homogeneous. A single list may contain DataTypes like Integers, Strings, as well as Objects. List in Python are ordered and have a definite count. The elements in a list are indexed according to a definite sequence and the indexing of a

Collections.UserString in Python

Strings are the arrays of bytes representing Unicode characters. However, Python does not support the character data type. A character is a string of length one. Example: Python3 # Python program to demonstrate # string # Creating a String # with single Quotes String1 = 'Welcome to the Geeks World'