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  • max-sixty · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
722580087 https://github.com/pydata/xarray/pull/4560#issuecomment-722580087 https://api.github.com/repos/pydata/xarray/issues/4560 MDEyOklzc3VlQ29tbWVudDcyMjU4MDA4Nw== max-sixty 5635139 2020-11-05T19:07:18Z 2020-11-05T19:07:18Z MEMBER

Awesome! This is a great PR, thank you v much @dionhaefner 

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   Optimize slice_slice for faster isel of huge datasets 735199603
721815105 https://github.com/pydata/xarray/pull/4560#issuecomment-721815105 https://api.github.com/repos/pydata/xarray/issues/4560 MDEyOklzc3VlQ29tbWVudDcyMTgxNTEwNQ== max-sixty 5635139 2020-11-04T15:54:47Z 2020-11-04T15:54:47Z MEMBER

Awesome! Thanks @dionhaefner !

Any thoughts from others? Otherwise I'll merge in a day or so

 
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   Optimize slice_slice for faster isel of huge datasets 735199603
721276226 https://github.com/pydata/xarray/pull/4560#issuecomment-721276226 https://api.github.com/repos/pydata/xarray/issues/4560 MDEyOklzc3VlQ29tbWVudDcyMTI3NjIyNg== max-sixty 5635139 2020-11-03T17:37:18Z 2020-11-03T17:37:18Z MEMBER

Hi @dionhaefner ! Thanks for the PR; we're happy to have you as a contributor.

The code looks good. I think it's fairly obviously quicker at least for larger arrays. If you'd be up for writing an asv, that would give us confidence and prevent regressions.

Would you like to add a note to whatsnew?

 
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   Optimize slice_slice for faster isel of huge datasets 735199603

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