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1 row where issue = 819062172 and user = 1828519 sorted by updated_at descending

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  • djhoese · 1 ✖

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  • Flexible indexes refactoring notes · 1 ✖

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  • CONTRIBUTOR 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
790967872 https://github.com/pydata/xarray/pull/4979#issuecomment-790967872 https://api.github.com/repos/pydata/xarray/issues/4979 MDEyOklzc3VlQ29tbWVudDc5MDk2Nzg3Mg== djhoese 1828519 2021-03-04T21:45:53Z 2021-03-04T21:45:53Z CONTRIBUTOR

2D lat/lon arrays could be as expensive to store as the image itself, even though the values can be computed on the fly with very cheap arithmetic.

Just wanted to mention in case it comes up later, this is true for some datasets and for others the lon/lats are not uniformly spaced so they can't be calculated (just based on the way the satellite instrument works). They have to be loaded from the original dataset (on-disk file). For a while in the Satpy library we were storing 2D dask arrays for the lon/lat coordinates until we realized xarray was sometimes computing them and we didn't want that.

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  Flexible indexes refactoring notes 819062172

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