Python Set difference to find lost element from a duplicated array

Last Updated : 28 Jul, 2022

Given two arrays which are duplicates of each other except one element, that is one element from one of the array is missing, we need to find that missing element. Examples:

Input:  A = [1, 4, 5, 7, 9]
        B = [4, 5, 7, 9]
Output: [1]
1 is missing from second array.

Input: A = [2, 3, 4, 5
       B = 2, 3, 4, 5, 6]
Output: [6]
6 is missing from first array.

We have existing solution for this problem please refer Find lost element from a duplicated array. We can solve this problem quickly in python using Set difference logic. Approach is very simple, simply convert both lists in Set and perform A-B operation where len(A)>len(B).

Implementation:

Python3

# Function to find lost element from a duplicate
# array

def lostElement(A,B):
    
    # convert lists into set
    A = set(A)
    B = set(B)

    # take difference of greater set with smaller
    if len(A) > len(B):
        print (list(A-B))
    else:
        print (list(B-A))

# Driver program
if __name__ == "__main__":
    A = [1, 4, 5, 7, 9]
    B = [4, 5, 7, 9]
    lostElement(A,B)

Output

[1]

Python Introduction

Shashank Mishra

Improve

Article Tags :

Practice Tags :

Python Set difference to find lost element from a duplicated array

Similar Reads

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Python Set difference to find lost element from a duplicated array

Similar Reads

Python Fundamentals

Python Data Structures

Advanced Python

Data Science with Python

Web Development with Python

Python Practice

Thank You!

What kind of Experience do you want to share?

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.