Vectorized NumPy linspace across multi-dimensional arrays

Question

Say I have 2 numpy 2D arrays, mins, and maxs, that will always be the same dimension as one another. I\'d like to create a third array, results, that is the result of apply

Answer 1

As of Numpy version 1.16.0, non-scalar start and stop are now supported.

So, now you can do this:

assert np.__version__ > '1.17.2'

mins = np.random.rand(2,2)
maxs = np.random.rand(2,2)

# Number of elements in the linspace
x = 3

results = np.linspace(mins, maxs, num=x)

# And, if required
results = np.rollaxis(results, 0, 3)