un-slicing numpy arrays

Question

Given a sliced numpy array as follows:

b = [a[..., i] for i in a.shape[-1]]

What is the most simple way I can recreate a from b?

Something like:

for i in range(a.shape[-1]):
    c[..., i] = b[i]

Answer 1

Instead of that list comprehension, your original operation should have been

b = numpy.rollaxis(a, axis=-1)

which produces a view of a as a new array instead of a list of arrays.

The reverse operation is

c = numpy.rollaxis(b, axis=0, start=b.ndim)