Is this the best way to add an extra dimension to

问题:

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, ..., sn, 1), is this the best way to do it in one line?

k.reshape(*(list(k.shape) + [1])

回答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).