Python | Mean of consecutive Sublist

• Last Updated : 27 Feb, 2020

Some of the classical problems in programming domain comes from different categories and one among them is finding the mean of subsets. This particular problem is also common when we need to compute the average and store consecutive group mean. Let’s try different approaches to this problem in python language.

Method #1 : Using list comprehension + sum()
The list comprehension can be used to perform the this particular task to filter out successive groups and sum function can be used to get the summation of the filtered solution. We divide the sum by sublist size for average.

 # Python3 code to demonstrate# Mean of consecutive Sublist# using list comprehension + sum()  # initializing listtest_list = [4, 7, 8, 10, 12, 15, 13, 17, 14]  # printing original list print("The original list : " + str(test_list))  # using list comprehension + sum()# Mean of consecutive Sublistres = [ sum(test_list[x : x + 3]) / 3 for x in range(0, len(test_list), 3)]  # printing resultprint("The grouped average list is : " + str(res))
Output :
The original list : [4, 7, 8, 10, 12, 15, 13, 17, 14]
The grouped average list is : [6.333333333333333, 12.333333333333334, 14.666666666666666]

Method #2 : Using sum() + itertools.islice()
The task of slicing the list into chunks is done by islice method here and the conventional task of getting the summation is done by the sum function as the above method. We divide the sum by sublist size for average.

 # Python3 code to demonstrate# Mean of consecutive Sublist# using itertools.islice() + sum()import itertools  # initializing listtest_list = [4, 7, 8, 10, 12, 15, 13, 17, 14]  # printing original list print("The original list : " + str(test_list))  # using itertools.islice() + sum()# Mean of consecutive Sublist res = [sum(list(itertools.islice(test_list, i, i + 3))) / 3 for i in range(0, len(test_list), 3)]  # printing resultprint("The grouped average list is : " + str(res))
Output :
The original list : [4, 7, 8, 10, 12, 15, 13, 17, 14]
The grouped average list is : [6.333333333333333, 12.333333333333334, 14.666666666666666]

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