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问题描述
我有一个索引元组数组,我想用它从多维numpy数组中选取值,
I have an array of index tuples and I would like to use it to pick out values from a multidimensional numpy array,
import numpy
a = numpy.random.rand(10, 10, 10)
idx = [[1, 1, 2], [0, 3, 7], [9, 8, 4], [9, 9, 9]]
理解[a[i, j, k] for i, j, k in idx]
仅在已知a.ndim
的情况下有效.
The comprehension [a[i, j, k] for i, j, k in idx]
only worked if a.ndim
was known.
有任何提示吗?
推荐答案
您可以将idx
的转置版本转换为元组,然后为矢量化解决方案建立索引-
You could convert the transposed version of idx
to a tuple and then index for a vectorized solution -
a[tuple(np.transpose(idx))]
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