转置数组并实际对内存重新排序 [英] Transpose array and actually reorder memory

问题描述

我有一个3-D NumPy数组，例如

I have a 3-D NumPy array, e.g.

a = np.random.random((2,3,5))

我想转置最后两个轴，即

I would like to transpose the last two axes, i.e.

b = a.transpose(0,2,1)

但是，我不希望大步向前走！我想实际复制数组，然后在内存中对其重新排序.实现此目标的最佳方法是什么?

However, I do not want a view with twiddled strides! I want to actually copy the array and reorder it in memory. What is the best way to achieve this?

推荐答案

默认情况下，copy()方法将重新排序为C连续顺序:

The copy() method will reorder to C-contiguous order by default:

b = a.transpose(0,2,1).copy()

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