issue_comments: 455179590

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https://github.com/pydata/xarray/pull/2674#issuecomment-455179590 https://api.github.com/repos/pydata/xarray/issues/2674 455179590 MDEyOklzc3VlQ29tbWVudDQ1NTE3OTU5MA== 1217238 2019-01-17T13:54:33Z 2019-01-17T13:54:33Z MEMBER

Is there a conceptual overlap between the goals of .reduce and apply_ufunc? I had initially thought that .reduce strictly reduced a dimension, though that's not actually the case given cumsum

Yes, I think so. reduce() is a simpler but complementary model to apply_ufunc.

Maybe we should rename reduce() to something like apply_axis_func() or apply_over_dim? I would use the name apply_along_axis but the numpy function of the same name does something different.

 
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