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二维数组索引访问,带步长值

[英]The 2D Array Index access, with step value

I have an array like:我有一个像这样的数组:

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]])

requirement:要求:

need to access index value with given step.需要使用给定的步骤访问索引值。 For an example step value 3. Only index value not an elements value.例如,步长值 3。只有索引值而不是元素值。

Required Output:所需 Output:

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

Use a list comprehension to repeat the range for each row.使用列表推导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])]

You can do: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]

print(indices):打印(索引):

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

If you want lists instead of np arrays, just use .tolist() like:如果您想要列表而不是 np arrays,只需使用.tolist()如下:

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

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