使用stride_tricks创建重叠子阵列(Creating overlapping subarrays using stride_tricks)

 我发现下面的代码创建了给定长度的重叠子数组。 它做了我想做的事情，除了它还颠倒了我不想要的元素的顺序。 我无法找到关于'shape'和'strides'参数的文档，所以不知道如何改变这种行为。 如何更改'out = ...'行以使元素不反转？ 
 
import numpy as np

x = np.array([2,3,1,0])
L = 3 # Row length
strided = np.lib.stride_tricks.as_strided
n = x.strides[0]
out = strided(x[L-1:],shape=(x.size-L+1,L),strides=(n,-n))
print out

I found the below code that creates overlapping subarrays of a given length. It does what I want except that it also reverses the order of the elements, which I do not want. I couldn't really find documentation on the 'shape' and 'strides' arguments and so do not know how to change that behavior. How do I change the 'out = ...' line so that the elements are not reversed?
 
import numpy as np

x = np.array([2,3,1,0])
L = 3 # Row length
strided = np.lib.stride_tricks.as_strided
n = x.strides[0]
out = strided(x[L-1:],shape=(x.size-L+1,L),strides=(n,-n))
print out

原文：https://stackoverflow.com/questions/42074680