Is this the best way to add an extra dimension to a numpy array in one line of code?

Question

If k is an numpy array of an arbitrary shape, so k.shape = (s1, s2, s3, ..., sn), and I want to reshape it so that k.shape becomes (s1, s2, .

Answer 1

It's easier like this:

k.reshape(k.shape + (1,))

But if all you want is to add an empty dimension at the end, you should use numpy.newaxis:

import numpy as np
k = k[..., np.newaxis]

or

k = k[..., None]

(See the documentation on slicing).