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  • dcherian · 4 ✖

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  • Slow performance of isel · 4 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1468649950 https://github.com/pydata/xarray/issues/2227#issuecomment-1468649950 https://api.github.com/repos/pydata/xarray/issues/2227 IC_kwDOAMm_X85XidHe dcherian 2448579 2023-03-14T18:49:51Z 2023-03-14T18:54:16Z MEMBER

A reproducible example would help but indexing with dask arrays is a bit limited.

On https://github.com/pydata/xarray/pull/5873 it's possible it will raise an error and ask you to compute the indexer. Also see https://github.com/dask/dask/issues/4156

EDIT: your slowdown is probably because it's compuing Sn multiple times. You could speed it up by calling compute once and passing a numpy array to isel

 
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   Slow performance of isel 331668890
558700154 https://github.com/pydata/xarray/issues/2227#issuecomment-558700154 https://api.github.com/repos/pydata/xarray/issues/2227 MDEyOklzc3VlQ29tbWVudDU1ODcwMDE1NA== dcherian 2448579 2019-11-26T16:08:24Z 2019-11-26T16:08:24Z MEMBER

I don't know much about indexing but that PR propagates a "new" indexes property as part of #1603 (work towards enabling more flexible indexing), it doesn't change anything about "indexing". I think the dask docs may be more relevant to what you may be asking about: https://docs.dask.org/en/latest/array-slicing.html

 
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   Slow performance of isel 331668890
533119743 https://github.com/pydata/xarray/issues/2227#issuecomment-533119743 https://api.github.com/repos/pydata/xarray/issues/2227 MDEyOklzc3VlQ29tbWVudDUzMzExOTc0Mw== dcherian 2448579 2019-09-19T13:00:40Z 2019-09-19T13:00:40Z MEMBER

I think align tries to optimize that case, so maybe something's also possible there?

 
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   Slow performance of isel 331668890
532780068 https://github.com/pydata/xarray/issues/2227#issuecomment-532780068 https://api.github.com/repos/pydata/xarray/issues/2227 MDEyOklzc3VlQ29tbWVudDUzMjc4MDA2OA== dcherian 2448579 2019-09-18T17:14:38Z 2019-09-18T17:14:38Z MEMBER

On master I'm seeing

``` %timeit ds.a.isel(time=time_filter) 3.65 s ± 29.4 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

%timeit ds.a.isel(time=time_filter.values) 2.99 s ± 15 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)

%timeit ds.a.values[time_filter] 227 ms ± 6.59 ms per loop (mean ± std. dev. of 7 runs, 1 loop each) ```

Can someone else reproduce?

 
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   Slow performance of isel 331668890

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