Creating an empty multidimensional array

I'd suggest using np.full_like to choose the fill-value directly...

x = np.full_like((3, 1), None, dtype=object)

... of course the dtype you chose kind of defines what you mean by "empty"

I am guessing that by empty, you mean an array filled with zeros.

Use np.zeros() to create an array with zeros. np.empty() just allocates the array, so the numbers in there are garbage. It is provided as a way to even reduce the cost of setting the values to zero. But it is generally safer to use np.zeros().

I suggest to use np.nan. like shown below,

yourdata = np.empty((3,1)) * np.nan

(Or)

you can use np.zeros((3,1)). but it will fill all the values as zero. It is not intuitively well. I feel like using np.nan is best in practice.

Its all upto you and depends on your requirement.