Sometimes, while working with Python tuple, we can have a problem in which we need to compute average of any paritcular index of tuples in a list. This kind of problem can have application in data domain such as web development. Let’s discuss certain ways in which this task can be performed.
Input : test_list = [(‘Gfg’, 1), (‘is’, 5), (‘best’, 7)], K = 1
Output : 4.333333333333333Input : test_list = [(‘Gfg’, 7), (‘best’, 7)], K = 1
Output : 7
Method #1 : Using mean() + generator expression
The combination of above functions can be used to solve this problem. In this, we perform the task of mean computation using mean() and generator expression is used for iterations.
# Python3 code to demonstrate working of # Kth Index Tuple List Mean# Using mean() + generator expressionfrom statistics import mean # initializing listtest_list = [('Gfg', 4), ('is', 18), ('best', 2), ('for', 5), ('geeks', 1)] # printing original listprint("The original list is : " + str(test_list)) # initializing KK = 1 # Kth Index Tuple List Mean# Using mean() + generator expressionres = mean(val[K] for val in test_list) # printing result print("The computed mean : " + str(res)) |
The original list is : [('Gfg', 4), ('is', 18), ('best', 2), ('for', 5), ('geeks', 1)]
The computed mean : 6
Method #2 : Using sum() + len() + generator expression
The combination of above functions can also be employed to solve this task. In this, we perform task of summation computation using sum() and result is divided by list length computed using len().
# Python3 code to demonstrate working of # Kth Index Tuple List Mean# Using sum() + len() + generator expressionfrom statistics import mean # initializing listtest_list = [('Gfg', 4), ('is', 18), ('best', 2), ('for', 5), ('geeks', 1)] # printing original listprint("The original list is : " + str(test_list)) # initializing KK = 1 # Kth Index Tuple List Mean# Using sum() + len() + generator expressionres = sum(val[K] for val in test_list) / len(test_list) # printing result print("The computed mean : " + str(res)) |
The original list is : [('Gfg', 4), ('is', 18), ('best', 2), ('for', 5), ('geeks', 1)]
The computed mean : 6.0
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