Solution 1:

This is called the "shape" in NumPy, and can be requested via the .shape attribute:

>>> a = zeros((2, 5))
>>> a.shape
(2, 5)

If you prefer a function, you could also use numpy.shape(a).

Solution 2:

Yes numpy has a size function, and shape and size are not quite the same.

Input

import numpy as np
data = [[1, 2, 3, 4], [5, 6, 7, 8]]
arrData = np.array(data)

print(data)
print(arrData.size)
print(arrData.shape)

Output

[[1, 2, 3, 4], [5, 6, 7, 8]]

8 # size

(2, 4) # shape

Solution 3:

[w,k] = a.shape will give you access to individual sizes if you want to use it for loops like in matlab