Not passing all the test cases

Question

I was doing the exercise for the course "Data Science" named "Average of Rows". I am able to pass the first three test cases, but I am not able to pass the last two of them.

Here is the code for that:

import numpy as np

n, p = [int(x) for x in input().split()]

list_ = []

for i in range(n):
a = input().split()
sum_ = 0

for i in a:
sum_ += float(i)

ans = sum_/len(a)

list_.append(ans)

list_ = np.array(list_)
print(list_)

please help me debug the answer.

Answer 1

Your second loop when u storing data in a . I think a should be list type becz at a time u can store one value . Length of (a) what it will print last value of a which can be a any values suppose your last entered values is 5 so a will be 5 . i dont have much more idea of python

Answer 2

It's much easier to use numpy to get the mean values, and then also use numpy.around to round the hole list to two decimals. I suggest you take a look at W3Schools to find out how to do that.

Answer 3

Your trick worked. I rounded off using numpy array and passed all the test cases. But I was just wondering, if I rounded of the same list using round(number, decimals) I got wrong answer in the last test case.

Does numpy.round_(number, decimals) and simple round(number, decimals) works differently ??