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Remove Elements from Sets in Python

  • December 20, 2022
  • CODE OF GEEKS
  • 0


1. remove() method in Python Sets

The remove() method in Python Sets can be used to remove an element in the given set. This method performs the modification on existing set and returns ‘None’.

Syntax

set.remove(element)

Let’s try to remove the existing element in a given set,

s = {'one', 2, 3, 'two', 'four'}
print('Before removal : ', s)
s.remove('two') # removing two from set
print('After removal : ', s)

O/P

Before removal : {2, 3, ‘four’, ‘two’, ‘one’}
After removal : {2, 3, ‘four’, ‘one’}

Please note that, if we try to remove an element that does not exists in set, then, we will get KeyError.



2. discard() method in Python Sets

The discard() method in Python Sets is same as remove() method and is used to remove an element in the given set. This method performs the modification on existing set and returns ‘None’.

Syntax

set.discard(element)

Let’s try to remove the existing element in a given set,

s = {'one', 2, 3, 'two', 'four'}
print('Before removal : ', s)
s.discard('two') # removing two from set
print('After removal : ', s)

O/P

Before removal : {2, 3, ‘four’, ‘two’, ‘one’}
After removal : {2, 3, ‘four’, ‘one’}

Only difference is that, if we try to remove an element that does not exists in set, then, discard() method does not raise any error rather the set remains unaffected.


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3. clear() method in Python Sets

The clear() method in Python Sets is used to delete all elements in the given set and makes it empty. This method performs the modification on existing set and returns ‘None’.

Syntax

set.clear()

Let’s try to remove the existing element in a given set,

s = {'one', 2, 3, 'two', 'four'}
print('Before removal : ', s)
s.clear() # empties set
print('After removal : ', s)

O/P

Before removal : {2, 3, ‘four’, ‘two’, ‘one’}
After removal : set()


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4. Using del statement in Python Sets

The del() statement in Python Sets deletes the set completely.

Syntax

del set

Let’s try to remove the existing element in a given set,

s = {'one', 2, 3, 'two', 'four'}
print('Before removal : ', s)
del s # deallocates the memory occupied by set s
print('After removal : ', s)

O/P

Before removal : {2, 3, ‘one’, ‘two’, ‘four’}
Traceback (most recent call last):
File “”, line 4, in
NameError: name ‘s’ is not defined

Please note that, adding an element in Set is an optimized process, with time complexity a O(1).


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Table of Content – Python

  1. Introduction to Python ▼
    • Python and its features
    • Key Differences : C vs Python
    • Key Differences : Java vs Python
    • Python Flavors
    • PVM and Memory Management in Python

  2. Python Fundamentals ▼
    • 'Hello World' using Python
    • Comments in Python
    • Variables and Garbage Collection in Python
    • Datatypes in Python
    • Determining the Datatype of Literal | type() method
    • Tokens in Python
    • Keywords in Python
    • Identifiers and Naming Convention in Python
    • Literals in Python

  3. Python Operators ▼
    • Operators in Python
    • Python Mathematical Functions

  4. Python User Inputs ▼
    • Taking Inputs | input() function in Python

  5. Python Control Statements ▼
    • Control Statements in Python
    • if-elif-else Statements in Python
    • Looping in Python
    • while loop in Python
    • while-else loop in Python
    • for loop in Python
    • for-else loop in Python
    • Infinite loops in Python
    • Nested loops in Python
    • break Statement in Python
    • continue Statement in Python
    • pass Statement in Python
    • assert Statement in Python
    • return Statement in Python

  6. Python Functions ▼
    • Introduction to Python Functions
    • Python Functions vs Python Methods
    • Local and Global Variables in Python
    • Formal and Actual Arguments in Python
    • Recursion in Python Functions
    • Lambda Functions in Python
    • Function Decorators in Python
    • Function Generators in Python

  7. Python Strings ▼
    • Strings in Python and Basic Operations
    • String Immutability Explained
    • strip() method in Strings
    • find() method in Strings
    • count() method in Strings
    • replace() method in Strings
    • split() method in Strings
    • Switching Cases in Strings
    • startswith() method in Strings
    • endswith() method in Strings

  8. Python Lists ▼
    • Python Lists Basics
    • index() method in list
    • append() method in list
    • insert() method in list
    • copy() method in list
    • remove() method in list
    • pop() method in list
    • sort() method in list
    • reverse() method in list
    • clear() method in list
    • Nested Lists in Python
    • List Comprehensions in Python

  9. Python Sets ▼
    • Python Sets and Basic Operations
    • Adding Elements in Python Sets
    • Removing Elements in Python Sets
    • Union in Python Sets
    • Intersection in Python Sets

  10. Python Tuples ▼
    • Python Tuple Basics
    • Python Tuples Immutability Explained
    • Python Tuples Methods
    • Python Nested Tuples

  11. Python Dictionary ▼
    • Python Dictionary Basics
    • Python Dictionary Sorting
    • Python Dictionary List to Dictionary Conversion
    • Passing Dictionary to Function

  12. Python Classes and Objects ▼
    • Classes and Objects
    • self variable in Python
    • __init__() method in Python
    • Inner Classes
    • Instance variable and methods
    • Class variable and methods

  13. Python OOPs ▼
    • Inheritance and its types
    • super() method in Python
    • Abstract class| Abstract method in Python

  14. Python Exception Handling ▼
    • Errors in Python and its types
    • Exception Handling in Python
    • Types of Exceptions in Python
    • Custom Exceptions in Python

  15. Python File Handling ▼
    • File Handling in Python
    • with statement in Python

  16. Python DateTime Modules ▼
    • datetime module in Python

  17. Python MultiThreading ▼
    • Multithreading in Python

  18. Python Requests Module ▼
    • Python GET Request
    • Python POST Request
    • Python PUT Request

Python Programs

  1. Fibonacci Series till 'N' Numbers

  2. Sum of Digits of a Number

  3. Checking Prime Number

  4. Checking Armstrong Number

  5. Finding Reverse Number (Traditional)

  6. Finding Reverse Number (Pythonic)

  7. Finding Prime Numbers within Range

  8. Finding Prime Numbers within Range Using SOE

  9. Checking Leap year

  10. Calculating Simple Interest

  11. Generate Random Numbers

  12. Calculate Compound Interest

  13. Area of Circle

  14. ASCII Value of Character
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