Write a function get_list_avg() that expects a parameter main_list (a list of lists) and returns a new list that contains the average of each sub-list in main_list. The function should return an empty list if the main_list is empty. this is my answer: def get_list_avg(main_list ): new_list = [] for sublist in main_list: avg = sum(sublist) / len(sublist) new_list.append(avg) return new_list main_list = input() print(get_list_avg(main_list))
Write a function get_list_avg() that expects a parameter main_list (a list of lists) and returns a new list that contains the average of each sub-list in main_list. The function should return an empty list if the main_list is empty. this is my answer: def get_list_avg(main_list ): new_list = [] for sublist in main_list: avg = sum(sublist) / len(sublist) new_list.append(avg) return new_list main_list = input() print(get_list_avg(main_list))
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Write a function get_list_avg() that expects a parameter main_list (a list of lists) and returns a new list that contains the average of each sub-list in main_list. The function should return an empty list if the main_list is empty.
this is my answer:
def get_list_avg(main_list ):
new_list = []
for sublist in main_list:
avg = sum(sublist) / len(sublist)
new_list.append(avg)
return new_list
main_list = input()
print(get_list_avg(main_list))
![• creating a new list and appending computation results (accumulator pattern for a list)
• using a for loop to iterate over lists inside a list (processing nested lists)
• assembling the provided instructions into a function that returns a new list
Instructions
Write a function get_list_avg() that expects a parameter main_list (a list of lists) and returns a new list that contains the average of
each sub-list in main_list. The function should return an empty list if the main_list is empty.
The example below guides you step-by-step through the process. If you understand what needs to happen and how to accomplish it, then
you can go directly to writing your function and testing it with the assert statements.
### Check that the computation is correct
assert get_list_avg([[10, 0, 2], [5, 10, 6], [7, 8, 9]]) == [4.0, 7.0, 8.01
assert get_list_avg([[10, 0, 2], [5, 10, 61, [7, 8, 91, [5, 10, 6]]) == [4.0, 7.0, 8.0, 7.01
assert get_list_avg ([[10, 0, 2, 5, 10, 6], [7, 8, 91]) == [5.5, 8.0]
### Verify that the original list is unchanged
sample_list = [[10, 0, 2], [5, 10, 61, [7, 8, 911
get_list_avg (sample_list) # call the function on a sample list
assert sample_list == [[10, 0, 2], [5, 10, 6], [7, 8, 9]] # verify that sample list was unchanged](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F979d0aba-5428-414f-a3ba-5510f0301082%2F6f4fb2de-1352-45f7-95e3-d5a6d035f505%2F46gvh2i_processed.png&w=3840&q=75)
Transcribed Image Text:• creating a new list and appending computation results (accumulator pattern for a list)
• using a for loop to iterate over lists inside a list (processing nested lists)
• assembling the provided instructions into a function that returns a new list
Instructions
Write a function get_list_avg() that expects a parameter main_list (a list of lists) and returns a new list that contains the average of
each sub-list in main_list. The function should return an empty list if the main_list is empty.
The example below guides you step-by-step through the process. If you understand what needs to happen and how to accomplish it, then
you can go directly to writing your function and testing it with the assert statements.
### Check that the computation is correct
assert get_list_avg([[10, 0, 2], [5, 10, 6], [7, 8, 9]]) == [4.0, 7.0, 8.01
assert get_list_avg([[10, 0, 2], [5, 10, 61, [7, 8, 91, [5, 10, 6]]) == [4.0, 7.0, 8.0, 7.01
assert get_list_avg ([[10, 0, 2, 5, 10, 6], [7, 8, 91]) == [5.5, 8.0]
### Verify that the original list is unchanged
sample_list = [[10, 0, 2], [5, 10, 61, [7, 8, 911
get_list_avg (sample_list) # call the function on a sample list
assert sample_list == [[10, 0, 2], [5, 10, 6], [7, 8, 9]] # verify that sample list was unchanged
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