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  • Can Resample dim be spatial and not just datetime? · 2 ✖

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624196631 https://github.com/pydata/xarray/issues/4008#issuecomment-624196631 https://api.github.com/repos/pydata/xarray/issues/4008 MDEyOklzc3VlQ29tbWVudDYyNDE5NjYzMQ== shoyer 1217238 2020-05-05T17:27:14Z 2020-05-05T17:27:14Z MEMBER

I think resample for numeric axes would make a lot of sense -- it's weird that it's currently entirely datetime specific. This could probably be implemented on top of groupby_bins.

 
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   Can Resample dim be spatial and not just datetime? 607229563
619977995 https://github.com/pydata/xarray/issues/4008#issuecomment-619977995 https://api.github.com/repos/pydata/xarray/issues/4008 MDEyOklzc3VlQ29tbWVudDYxOTk3Nzk5NQ== dcherian 2448579 2020-04-27T13:14:16Z 2020-04-27T13:14:16Z MEMBER

Thanks for bringing this up, @chfite.

For a regularly spaced grid, coarsen will do what you want but note that it, like rolling, works in "index space" i.e. you specify number of points along each dimension: https://xarray.pydata.org/en/stable/computation.html#coarsen-large-arrays

resample builds on top of groupby so I think it would make sense to extend it to use groupby_bins when necessary. Then we would get "label space" coarsening.

 
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   Can Resample dim be spatial and not just datetime? 607229563

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