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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 852431061 | https://github.com/pydata/xarray/issues/5376#issuecomment-852431061 | https://api.github.com/repos/pydata/xarray/issues/5376 | MDEyOklzc3VlQ29tbWVudDg1MjQzMTA2MQ== | thewtex 25432 | 2021-06-01T20:41:03Z | 2021-06-01T20:41:12Z | CONTRIBUTOR | @benbovy I also agree that a data structure that encapsulates a scale into a nice API, where you set the scale currently desired, and the same Xarray Dataset/DataArray API is available, and that scale can optionally be lazily be loaded. Maybe an Index as proposed could be a good API, but I do not have a good enough understanding of how the interface is used in general. What would be other examples like Regarding dynamic multi-scale, etc., one use case of interest is where you are interactively processing a larger-then memory dataset, and want to visualize the result over a limited domain on an intermediate scale. |
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Multi-scale datasets and custom indexes 902009258 |
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