- property Array.vindex¶
Vectorized indexing with broadcasting.
This is equivalent to numpy’s advanced indexing, using arrays that are broadcast against each other. This allows for pointwise indexing:
>>> import dask.array as da >>> x = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) >>> x = da.from_array(x, chunks=2) >>> x.vindex[[0, 1, 2], [0, 1, 2]].compute() array([1, 5, 9])
Mixed basic/advanced indexing with slices/arrays is also supported. The order of dimensions in the result follows those proposed for ndarray.vindex: the subspace spanned by arrays is followed by all slices.
vindexprovides more general functionality than standard indexing, but it also has fewer optimizations and can be significantly slower.