Answer of numpy sum of columns is incorrect

[th4tkh13m]

According to NumPy's glossary, the row axis is 0, and the column axis is 1. Therefore, the answer of
Given the X NumPy matrix, show the sum of its columns should be
X.sum(axis=1) not X.sum(axis=0)
One can try to add the columns to check, the answer is the result of X.sum(axis=1)
Although the answer for the next problem is correct (it does compute the mean values of the elements of X's row), the given comment is still incorrect (# remember: axis=0 columns; axis=1 rows)

[Alekhyadaspet]

Answer is marked incorrect in https://www.freecodecamp.org/learn/data-analysis-with-python/data-analysis-with-python-course/numpy-operations

[Keriafe-Richard]

its actually axis = 1 for column, and axis = 0 for row
`X = np.array([
[1, 2, 3, 4],
[5, 6, 7, 8],
[9, 10, 11, 12],
[13, 14, 15, 16]
])

X.sum(axis=0)`

when you run the code it will actually ##sum the column inside of rows