Can anyone please help me with my code?

Question

Given two lists of 1s and 0s (1 represents the true label, and 0 represents the false false) of the same length, output a 2darrary of counts, each cell is defined as follows

Top left: Predicted true and actually true (True positive)
Top right: Predicted true but actually false (False positive)
Bottom left: Predicted false but actually true (False negative)
Bottom right: Predicted false and actually false (True negative)

Sample Input
1 1 0 0
1 0 0 0

Sample Output
[[1., 0.],
[1., 2.]]

My code outputs:
[[1 0]
[1 2]]

Where can I get those dots??? Don't care about commas, i don't know why, but the answer without them is correct.

My code:

import numpy as np

y_true = [int(x) for x in input().split()]
y_pred = [int(x) for x in input().split()]

y_true = np.array(list(map(lambda x: 0 if x == 1 else 1, y_true)))
y_pred = np.array(list(map(lambda x: 0 if x == 1 else 1, y_pred)))

from sklearn.metrics import confusion_matrix

print(confusion_matrix(y_pred, y_true))
print(type(confusion_matrix(y_pred, y_true))) #in addition, just to be sure. I delete this "print" when I run the code

Answer 1

The points in the solution mean that the elements are doubles.
1. is the same as 1.0

Maybe there is another procedure in which you end up with a matrix of doubles and you were expected to do it that way.

Anyway, if the rest of the code is correct, you can convert the elements of a matrix to double by performing some scalar operation:
matrix *= 1.0