issue_comments: 1422518769
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/2028#issuecomment-1422518769 | https://api.github.com/repos/pydata/xarray/issues/2028 | 1422518769 | IC_kwDOAMm_X85Uyenx | 4160723 | 2023-02-08T12:29:27Z | 2023-02-08T12:41:00Z | MEMBER | @gewitterblitz there is a kdtree-based index example in #7041 that works with multi-dimensional coordinates. You could also have a look at https://xoak.readthedocs.io/en/latest/ (it doesn't use Xarray indexes - soon hopefully - so the current API is via Xarray accessors). EDIT: seeing your previous https://github.com/pydata/xarray/issues/2028#issuecomment-921926536, not sure how you could use slices for label selection using those indexes as I don't think the wrapped scipy / sklearn kdtree objects support range queries. Other spatial indexes may support it (e.g., there's an example in https://github.com/martinfleis/xvec of selecting points using a |
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