2D阵列索引访问,步长值为



我有一个数组,类似于:

a =np.array([[1,2,3,5,8,7,2,1,3,5,1,2,20,21],[3,8,3,9,8,7,10,1,3,5,1,2,20,21]])

要求:

需要访问具有给定步骤的索引值。例如步长值3。只有索引值而不是元素值。

所需输出:

[[0,3,6,9,12],[0,3,6,9,12]]

使用列表理解来重复每一行的范围。

a =np.array([[1,2,3,5,8,7,2,1,3,5,1,2,20,21],[3,8,3,9,8,7,10,1,3,5,1,2,20,21]])
indexes = [list(range(0, a.shape[1], 3)) for _ in range(a.shape[0])]

你可以做:

a = np.array([[1,2,3,5,8,7,2,1,3,5,1,2,20,21],[3,8,3,9,8,7,10,1,3,5,1,2,20,21]])
step = 3
indices = [np.arange(0, arr.size, step) for arr in a]

打印(索引(:

[array([ 0,  3,  6,  9, 12]), array([ 0,  3,  6,  9, 12])]

如果您想要列表而不是np数组,只需使用.tolist(),如:

[np.arange(0, arr.size, step).tolist() for arr in a]

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