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  • max-sixty · 3 ✖

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  • Added Coarsen · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
448719698 https://github.com/pydata/xarray/pull/2612#issuecomment-448719698 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0ODcxOTY5OA== max-sixty 5635139 2018-12-19T19:41:53Z 2018-12-19T19:41:53Z MEMBER

Perfect, thanks for pointing that out (I've generally been a bit out of the loop recently...)

 
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   Added Coarsen 391477755
448717771 https://github.com/pydata/xarray/pull/2612#issuecomment-448717771 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0ODcxNzc3MQ== max-sixty 5635139 2018-12-19T19:35:29Z 2018-12-19T19:35:29Z MEMBER

I think it's multi-dimensional resampling / rolling. resample & rolling operate one dimension at a time.

Thanks. If this is multi-dimensional resampling / rolling, could we implement this functionality within those methods, enabling multiple dimensions?

Potentially the implementations are different enough that the arguments don't have enough overlap?

 
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   Added Coarsen 391477755
447912054 https://github.com/pydata/xarray/pull/2612#issuecomment-447912054 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0NzkxMjA1NA== max-sixty 5635139 2018-12-17T16:41:58Z 2018-12-17T16:41:58Z MEMBER

Forgive me if this has an obvious answer: to what extent is this downsampling? Could this be done with resample?

 
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   Added Coarsen 391477755

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