Python | Adding N to Kth tuple element
Last Updated : 23 Feb, 2023
Many times, while working with records, we can have a problem in which we need to change the value of tuple elements. This is a common problem while working with tuples. Let's discuss certain ways in which N can be added to Kth element of tuple in list.
Method #1 : Using loop Using loops this task can be performed. In this, we just iterate the list to change the Kth element by predefined value N in code.
Python3 # Python3 code to demonstrate working of # Adding N to Kth tuple element # Using loop # Initializing list test_list = [(4, 5, 6), (7, 4, 2), (9, 10, 11)] # printing original list print("The original list is : " + str(test_list)) # Initializing N N = 3 # Initializing K K = 1 # Adding N to Kth tuple element # Using loop res = [] for i in range(0, len(test_list)): res.append((test_list[i][0], test_list[i][K] + N, test_list[i][2])) # printing result print("The tuple after adding N to Kth element : " + str(res))
OutputThe original list is : [(4, 5, 6), (7, 4, 2), (9, 10, 11)] The tuple after adding N to Kth element : [(4, 8, 6), (7, 7, 2), (9, 13, 11)]
Time complexity: O(n), where n is the length of the list.
Auxiliary space: O(n), where n is the length of the list
Method #2: Using list comprehension This method is having the same approach as the above method, just reduces lines of code using list comprehension functionality to make code compact by size.
Python3 # Python3 code to demonstrate working of # Adding N to Kth tuple element # Using list comprehension # Initializing list test_list = [(4, 5, 6), (7, 4, 2), (9, 10, 11)] # printing original list print("The original list is : " + str(test_list)) # Initializing N N = 3 # Initializing K K = 1 # Adding N to Kth tuple element # Using list comprehension res = [(a, b + N, c) for a, b, c in test_list] # printing result print("The tuple after adding N to Kth element : " + str(res))
OutputThe original list is : [(4, 5, 6), (7, 4, 2), (9, 10, 11)] The tuple after adding N to Kth element : [(4, 8, 6), (7, 7, 2), (9, 13, 11)]
Time Complexity: O(n), where n is the number of tuples in the list.
Auxiliary Space: O(n), as we are creating a new list to store the modified tuples.
Method #3: Using map() and lambda function
This method is an alternative to using loops and list comprehension, it uses the map function to iterate over the list and a lambda function to add N to the Kth element of each tuple.
Python3 # Python3 code to demonstrate working of # Adding N to Kth tuple element # Using map() and lambda function # Initializing list test_list = [(4, 5, 6), (7, 4, 2), (9, 10, 11)] # printing original list print("The original list is : " + str(test_list)) # Initializing N N = 3 # Initializing K K = 1 # Adding N to Kth tuple element # Using map() and lambda function res = list(map(lambda x: (x[0], x[K]+N, x[2]), test_list)) # printing result print("The tuple after adding N to Kth element : " + str(res)) #This code is contributed by Edula Vinay Kumar Reddy
OutputThe original list is : [(4, 5, 6), (7, 4, 2), (9, 10, 11)] The tuple after adding N to Kth element : [(4, 8, 6), (7, 7, 2), (9, 13, 11)]
Time complexity: O(n)
Auxiliary Space: O(n)
Explore
Python Fundamentals
Python Data Structures
Advanced Python
Data Science with Python
Web Development with Python
Python Practice
My Profile