Multiple slice in list indexing for numpy array

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北海茫月
北海茫月 2021-01-18 23:51

Numpy array admits a list of indices, for example

a = np.arange(1000)
l = list([1,44,66,33,90,345])
a[l] = 22

But this method don\'t work i

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  •  暖寄归人
    2021-01-19 00:26

    You can use fancy indexing to build an index list.

    l = numpy.array([1,44,66,33,90]+range(200,300)+range(500,600))
    a[l] = 22
    

    But as @Lev pointed out, this may not be any faster (though it almost certainly will be if you can precompute the index list).

    However, fancy indexing applies per-axis. So you can fancy index on one axis, and slice the others, if that helps at all:

    a = numpy.random.randn(4, 5, 6)
    l = numpy.array([1, 2])
    a[l, slice(None), slice(2, 4)] = 10
    

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