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  • mschrimpf · 2 ✖

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  • DataArray.sel extremely slow · 2 ✖

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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
426329601 https://github.com/pydata/xarray/issues/2452#issuecomment-426329601 https://api.github.com/repos/pydata/xarray/issues/2452 MDEyOklzc3VlQ29tbWVudDQyNjMyOTYwMQ== mschrimpf 5308236 2018-10-02T15:58:21Z 2018-10-02T15:58:21Z NONE

I posted a manual solution to the multi-dimensional grouping in the stackoverflow thread. Hopefully, .sel can be made more efficient though, it's such an everyday method.

 
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   DataArray.sel extremely slow 365678022
426100334 https://github.com/pydata/xarray/issues/2452#issuecomment-426100334 https://api.github.com/repos/pydata/xarray/issues/2452 MDEyOklzc3VlQ29tbWVudDQyNjEwMDMzNA== mschrimpf 5308236 2018-10-01T23:47:43Z 2018-10-02T14:29:18Z NONE

Thanks @max-sixty, the checks per call make sense, although I still find 0.5 ms insane for a single-value lookup (python dict-indexing takes about a 50th to index every single item in the array).

The reason I'm looking into this is actually multi-dimensional grouping (#2438) which is unfortunately not implemented (the above code is essentially a step towards trying to implement that). Is there a way of vectorizing these calls with that in mind? I.e. apply a method for each group.

 
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   DataArray.sel extremely slow 365678022

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