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Python: Count negative numbers and sum of positive numbers of a given list

Python Basic - 1: Exercise-84 with Solution

Write a Python program that accepts a list of numbers. Count the negative numbers and compute the sum of the positive numbers of the said list. Return these values through a list.

Sample Solution:

Python Code:

def count_sum(nums):
   if not nums: return []
   return [len([n for n in nums if n < 0]), sum(n for n in nums if n > 0)]
nums = [1, 2, 3, 4, 5]
print("Original list:",nums)
print("Number of negative of numbers and sum of the positive numbers of the said list:",count_sum(nums))
nums = [-1, -2, -3, -4, -5]
print("Original list:",nums)
print(count_sum(nums))
print("Number of negative of numbers and sum of the positive numbers of the said list:",count_sum(nums))
nums = [1, 2, 3, -4, -5]
print("Original list:",nums)
print(count_sum(nums))
print("Number of negative of numbers and sum of the positive numbers of the said list:",count_sum(nums))
nums = [1, 2, -3, -4, -5]
print("Original list:",nums)
print(count_sum(nums))
print("Number of negative of numbers and sum of the positive numbers of the said list:",count_sum(nums)) 

Sample Output:

Original list: [1, 2, 3, 4, 5]
Number of negative of numbers and sum of the positive numbers of the said list: [0, 15]
Original list: [-1, -2, -3, -4, -5]
[5, 0]
Number of negative of numbers and sum of the positive numbers of the said list: [5, 0]
Original list: [1, 2, 3, -4, -5]
[2, 6]
Number of negative of numbers and sum of the positive numbers of the said list: [2, 6]
Original list: [1, 2, -3, -4, -5]
[3, 3]
Number of negative of numbers and sum of the positive numbers of the said list: [3, 3]

Pictorial Presentation:

Python: Count negative numbers and sum of positive numbers of a given list.
Python: Count negative numbers and sum of positive numbers of a given list.

Flowchart:

Flowchart: Python - Count negative numbers and sum of positive numbers of a given list.

Python Code Editor:

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Python: Tips of the Day

How to make a flat list out of list of lists?

Given a list of lists l

flat_list = [item for sublist in l for item in sublist]

which means:

flat_list = []
for sublist in l:
    for item in sublist:
        flat_list.append(item)

is faster than the shortcuts posted so far. (l is the list to flatten.) Here is the corresponding function:

flatten = lambda l: [item for sublist in l for item in sublist]

As evidence, you can use the timeit module in the standard library:

$ python -mtimeit -s'l=[[1,2,3],[4,5,6], [7], [8,9]]*99' '[item for sublist in l for item in sublist]'
10000 loops, best of 3: 143 usec per loop
$ python -mtimeit -s'l=[[1,2,3],[4,5,6], [7], [8,9]]*99' 'sum(l, [])'
1000 loops, best of 3: 969 usec per loop
$ python -mtimeit -s'l=[[1,2,3],[4,5,6], [7], [8,9]]*99' 'reduce(lambda x,y: x+y,l)'
1000 loops, best of 3: 1.1 msec per loop

Explanation: the shortcuts based on + (including the implied use in sum) are, of necessity, O(L**2) when there are L sublists -- as the intermediate result list keeps getting longer, at each step a new intermediate result list object gets allocated, and all the items in the previous intermediate result must be copied over (as well as a few new ones added at the end). So, for simplicity and without actual loss of generality, say you have L sublists of I items each: the first I items are copied back and forth L-1 times, the second I items L-2 times, and so on; total number of copies is I times the sum of x for x from 1 to L excluded, i.e., I * (L**2)/2.

The list comprehension just generates one list, once, and copies each item over (from its original place of residence to the result list) also exactly once.

Ref: https://bit.ly/3dKsNTR