html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1815#issuecomment-628088800,https://api.github.com/repos/pydata/xarray/issues/1815,628088800,MDEyOklzc3VlQ29tbWVudDYyODA4ODgwMA==,2448579,2020-05-13T16:04:20Z,2020-05-13T16:04:20Z,MEMBER,"> So would you be re-doing the same computation by running .compute() separately on these objects?

Yes. but you can do `dask.compute(xarray_obj1, xarray_obj2,...)` or combine those objects appropriately into a Dataset and then call compute on that.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-628050521,https://api.github.com/repos/pydata/xarray/issues/1815,628050521,MDEyOklzc3VlQ29tbWVudDYyODA1MDUyMQ==,2448579,2020-05-13T15:02:01Z,2020-05-13T15:02:01Z,MEMBER,Still needs to be implemented. Stephan's comment suggests a path forward (https://github.com/pydata/xarray/issues/1815#issuecomment-440089606) ,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-627869278,https://api.github.com/repos/pydata/xarray/issues/1815,627869278,MDEyOklzc3VlQ29tbWVudDYyNzg2OTI3OA==,5821660,2020-05-13T09:33:59Z,2020-05-13T09:33:59Z,MEMBER,"> I think ideally it would be nice to return multiple DataArrays or a Dataset of variables.

What's the current status of this? I've similar requirements, single DataArray as input, multiple DataArrays as output.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-614221197,https://api.github.com/repos/pydata/xarray/issues/1815,614221197,MDEyOklzc3VlQ29tbWVudDYxNDIyMTE5Nw==,13301940,2020-04-15T18:59:23Z,2020-04-15T18:59:23Z,MEMBER,"> I imagine you're far past this now. And this might have been related to discussions with Genevieve and I anyways.

Thank you for the update, @bradyrx! Yes, it was related to discussions with @gelsworth","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-539134912,https://api.github.com/repos/pydata/xarray/issues/1815,539134912,MDEyOklzc3VlQ29tbWVudDUzOTEzNDkxMg==,1197350,2019-10-07T18:06:03Z,2019-10-07T18:06:03Z,MEMBER,"I definitely don't have bandwidth! I'm happy to see you working on it.

On Mon, Oct 7, 2019 at 2:01 PM Anderson Banihirwe <notifications@github.com>
wrote:

> is what you are working on related to #3349
> <https://github.com/pydata/xarray/issues/3349>?
>
> @rabernat <https://github.com/rabernat>, indeed! Let me know if you have
> bandwidth to take on the polyfit implementation in xarray. Otherwise, I'd
> be happy to help out/work on it late October.
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/issues/1815?email_source=notifications&email_token=AAJEKJWGRLZODWGS57UF6I3QNN2RJA5CNFSM4ELBUQLKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEARIK5I#issuecomment-539133301>,
> or mute the thread
> <https://github.com/notifications/unsubscribe-auth/AAJEKJQSAPJ3DAOTH24T7RTQNN2RJANCNFSM4ELBUQLA>
> .
>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-539133301,https://api.github.com/repos/pydata/xarray/issues/1815,539133301,MDEyOklzc3VlQ29tbWVudDUzOTEzMzMwMQ==,13301940,2019-10-07T18:01:55Z,2019-10-07T18:01:55Z,MEMBER,">  is what you are working on related to #3349?

@rabernat, indeed! Let me know if you have bandwidth to take on the `polyfit` implementation in xarray. Otherwise, I'd be happy to help out/work on it late October. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-539025502,https://api.github.com/repos/pydata/xarray/issues/1815,539025502,MDEyOklzc3VlQ29tbWVudDUzOTAyNTUwMg==,1197350,2019-10-07T14:00:01Z,2019-10-07T14:00:01Z,MEMBER,@andersy005 - is what you are working on related to #3349? ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-536847249,https://api.github.com/repos/pydata/xarray/issues/1815,536847249,MDEyOklzc3VlQ29tbWVudDUzNjg0NzI0OQ==,13301940,2019-10-01T03:39:15Z,2019-10-01T03:39:15Z,MEMBER,"Any updates or progress here? I’m trying to use `xarray.apply_ufunc` with `scipy.stats.linregress` which returns 
- slope
- intercept
- rvalue
- pvalue
- stderr
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-440089606,https://api.github.com/repos/pydata/xarray/issues/1815,440089606,MDEyOklzc3VlQ29tbWVudDQ0MDA4OTYwNg==,1217238,2018-11-20T00:16:31Z,2018-11-20T00:16:31Z,MEMBER,"I think we can do this inside the existing `xarray.apply_ufunc`, simply by using `apply_gufunc` instead of `atop` for the case where `signature.num_outputs > 1` (which current raises `NotImplementedError`):
https://github.com/pydata/xarray/blob/master/xarray/core/computation.py#L601","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-440064660,https://api.github.com/repos/pydata/xarray/issues/1815,440064660,MDEyOklzc3VlQ29tbWVudDQ0MDA2NDY2MA==,306380,2018-11-19T22:27:31Z,2018-11-19T22:27:31Z,MEMBER,FYI @magonser ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-440061760,https://api.github.com/repos/pydata/xarray/issues/1815,440061760,MDEyOklzc3VlQ29tbWVudDQ0MDA2MTc2MA==,2443309,2018-11-19T22:17:00Z,2018-11-19T22:17:39Z,MEMBER,"@shoyer - dask now has a `apply_gufunc`. Is this something we should try to include in `xr.apply_ufunct` or a new function `xr.apply_gufunc`?

xref: https://github.com/dask/dask/pull/3109
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508
https://github.com/pydata/xarray/issues/1815#issuecomment-356410108,https://api.github.com/repos/pydata/xarray/issues/1815,356410108,MDEyOklzc3VlQ29tbWVudDM1NjQxMDEwOA==,1217238,2018-01-09T20:51:18Z,2018-01-09T20:51:18Z,MEMBER,"We need `atop` to support multiple output arguments (https://github.com/dask/dask/issues/702), or potentially a specialized wrapper for generalized ufuncs in dask (https://github.com/dask/dask/issues/1176).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,287223508