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1 row where author_association = "NONE", issue = 902009258 and user = 88113 sorted by updated_at descending

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  • joshmoore · 1 ✖

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  • Multi-scale datasets and custom indexes · 1 ✖

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  • NONE · 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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