[英]slicing numpy 3-d array
I have a 3d numpy array such as:我有一个 3d numpy 阵列,例如:
data = np.array([[[1, 2, 3, -999],
[5, 6, 7, 8],
[9, 10, 11, 12]],
[[10, 20, 30, -999],
[50, 60, 70, 80],
[90, 100, 110, 120]],
[[100, 200, 300, -999],
[500, 600, 700, 800],
[900, 1000, 1100, 1200]]])
Further i want to slice my array at certain random positions此外,我想在某些随机位置切片我的数组
pos = [[0, 1], [0, 2], [1, 0]]
to slice the array对数组进行切片
slices = [data[:, p[0], p[1]] for p in pos]
to yield屈服
[[2, 20, 200], [3, 30, 300], [5, 50, 500]]
What would be a faster way to perform the slicing step?执行切片步骤的更快方法是什么?
You can use numpy arrays instead for indexing:您可以使用 numpy arrays 代替索引:
pos = np.array([[0, 1], [0, 2], [1, 0]])
slices = data[:, pos[:, 0], pos[:, 1]].T
This is documented under integer array indexing .这记录在integer 数组索引下。
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