Numpy: In a two-dimensional array, how do the axes correspond to the interior arrays?

The correct answer is apparently: “axis = 0 share an index (= columns), and axis= 1 share an array (= rows).”

That I don’t get. Usually to me the first dimension are rows, which share an array, and the second dimension are columns.

Would much appreciate an intuition here. Thanks

can someone answer this. I am also confused on this one. thanks