How to deal with fancy indexing in dask #8398
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miguelcarcamov
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It's known that fancy indexing is not implemented yet in dask. I would like to ask the community how you deal with this without having your arrays in memory/without using numpy arrays.
Let's say I have a 2D dask array
a
and a 1D dask arrayb
. Then let's say that indexes of b can be mapped to the 2D indexes of a. How to deal with this in dask? Any ideas?Cheers
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