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- Multi-scale datasets and custom indexes · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 848914165 | https://github.com/pydata/xarray/issues/5376#issuecomment-848914165 | https://api.github.com/repos/pydata/xarray/issues/5376 | MDEyOklzc3VlQ29tbWVudDg0ODkxNDE2NQ== | joshmoore 88113 | 2021-05-26T16:23:13Z | 2021-05-26T16:23:13Z | NONE | I don't think I am familiar enough to really judge between the suggestions, @benbovy, but I'm intrigued. I think there's certainly something to be won just by having a data structure which says these arrays/datasets represent a multiscale series. One real benefit though will be when access of that structure can simplify the client code needed to interactively load that data, e.g. with prefetching. |
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Multi-scale datasets and custom indexes 902009258 |
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