这是在一行代码中为numpy数组添加额外维度的最佳方法吗? [英] Is this the best way to add an extra dimension to a numpy array in one line of code?

问题描述

如果k是任意形状的numpy数组，那么k.shape = (s1, s2, s3, ..., sn)，并且我想对其进行整形以使k.shape变为(s1, s2, ..., sn, 1)，这是在一行中完成它的最佳方法吗?

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])

推荐答案

像这样更容易:

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

但是，如果您只想在末尾添加一个空尺寸，则应使用numpy.newaxis:

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]

或

k = k[..., None]

(请参见切片文档).

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