Numpy multidimensional array transpose transpose

How to convert multidimensional numpy The axis transformation position of the array , For example, a 3x3x3 Array of , Change the position of the data of the first axis and the data of the third axis , First, let's take a look at one 3x3x3 The arrangement of arrays before replacement ：

num = 3
images = np.arange(1, num**3+1).reshape(num, num, num)
for dim in range(0, num):
	plt.subplot(1, 3, dim+1)
	image = images[dim, :, :]
	plt.imshow(image)
	for i in range(image.shape[0]):
		for j in range(image.shape[1]):
			text = plt.text(j, i, int(image[i, j]), ha = "center", va = "center", color="r")
	plt.xticks([]); plt.yticks([])
	plt.show()

Output pictures ：

If the first and third shafts are replaced , You can use the following program ：

images = images.transpose((1, 0, 2))

give the result as follows ：