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- Flexible indexes: how best to implement the new data model? · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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877736473 | https://github.com/pydata/xarray/issues/5553#issuecomment-877736473 | https://api.github.com/repos/pydata/xarray/issues/5553 | MDEyOklzc3VlQ29tbWVudDg3NzczNjQ3Mw== | shoyer 1217238 | 2021-07-11T03:47:12Z | 2021-07-11T03:47:12Z | MEMBER | At the very least, I do think we need something like option 3. We don't want to be in a scenario where indexes can easily get out of sync. |
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Flexible indexes: how best to implement the new data model? 933551030 | |
877736416 | https://github.com/pydata/xarray/issues/5553#issuecomment-877736416 | https://api.github.com/repos/pydata/xarray/issues/5553 | MDEyOklzc3VlQ29tbWVudDg3NzczNjQxNg== | shoyer 1217238 | 2021-07-11T03:46:04Z | 2021-07-11T03:46:04Z | MEMBER | Would we need to duplicate data with option 1? It seems like a wrapper that makes the data in a Variable immutable might resolve that? We could even compute the variable's data on the fly using Xarray's lazy indexing machinery. I was initially leaning towards 2 due to cleaner handling of "virtual" coordinates, but I'm not so sure that that would actually help anymore. |
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Flexible indexes: how best to implement the new data model? 933551030 |
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