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  • max-sixty · 1 ✖

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  • Add an Cumulative aggregation, similar to Rolling · 1 ✖

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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
826374418 https://github.com/pydata/xarray/issues/5215#issuecomment-826374418 https://api.github.com/repos/pydata/xarray/issues/5215 MDEyOklzc3VlQ29tbWVudDgyNjM3NDQxOA== max-sixty 5635139 2021-04-25T19:10:36Z 2021-04-25T19:10:36Z MEMBER

.cumulative is great! Much better.

The benefit is that the API surface is reduced — e.g. we can have a .cumulative().integrate(), rather than a separate .cumulative_integrate (and so on, for each aggregation), from https://github.com/pydata/xarray/pull/5153.

The implementation could be as simple as da.rolling(dim=da.sizes[dim]). How compatible would dask be with that? How does it compare to the numpy.ufunc.accumulate(...) suggestion?

 
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   Add an Cumulative aggregation, similar to Rolling 866826033

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