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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
716399575	https://github.com/pydata/xarray/issues/4325#issuecomment-716399575	https://api.github.com/repos/pydata/xarray/issues/4325	MDEyOklzc3VlQ29tbWVudDcxNjM5OTU3NQ==	mathause 10194086	2020-10-26T08:40:51Z	2021-02-18T15:39:40Z	MEMBER	This is already done for `counts`, correct? Here: https://github.com/pydata/xarray/blob/1597e3a91eaf96626725987d23bbda2a80d2bae7/xarray/core/rolling.py#L370-L382 This should work for most of the reductions (and is a bit similar to what is done in `weighted` for `mean` and `sum`): [x] `count`: `isnull()` -> `rolling` -> `sum` [x] `argmax`: `fillna(-inf)` -> `rolling` -> `argmax` [x] `argmin`: `fillna(inf)` -> `rolling` -> `argmin` [x] `max`: `fillna(-inf)` -> `rolling` -> `max` (not sure about this one, need to be careful with the dtype) [x] `min`: `fillna(inf)` -> `rolling` -> `min` (dito) [x] `mean`: `fillna(0)` -> `rolling` -> `sum / count` (ensure nan if `count == 0`) [x] `prod`: `fillna(1)` -> `rolling` -> `prod` [x] `sum`: `fillna(0)` -> `rolling` -> `sum` [ ] `var`: `fillna(0)` -> `rolling` -> possible (?) but a bit more involved [ ] `std`: `sqrt(var)` [ ] `median`: probably not possible I think this should not be too difficult, the thing is that rolling itself is already quite complicated	{ "total_count": 2, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 2, "rocket": 0, "eyes": 0 }		Optimize ndrolling nanreduce 675482176
741734592	https://github.com/pydata/xarray/issues/4325#issuecomment-741734592	https://api.github.com/repos/pydata/xarray/issues/4325	MDEyOklzc3VlQ29tbWVudDc0MTczNDU5Mg==	mathause 10194086	2020-12-09T12:17:15Z	2020-12-09T12:17:15Z	MEMBER	I just saw that numpy 1.20 introduces `stride_tricks.sliding_window_view`. I have not looked at this yet. Just leaving this here for reference. https://numpy.org/devdocs/reference/generated/numpy.lib.stride_tricks.sliding_window_view.html#numpy.lib.stride_tricks.sliding_window_view https://numpy.org/devdocs/release/1.20.0-notes.html#sliding-window-view-provides-a-sliding-window-view-for-numpy-arrays https://github.com/numpy/numpy/pull/17394	{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 }		Optimize ndrolling nanreduce 675482176

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