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/pull/3733#issuecomment-603976716,https://api.github.com/repos/pydata/xarray/issues/3733,603976716,MDEyOklzc3VlQ29tbWVudDYwMzk3NjcxNg==,20629530,2020-03-25T17:26:59Z,2020-03-25T17:26:59Z,CONTRIBUTOR,"Yay! Many thanks, this will greatly improve our projects.","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,557627188
https://github.com/pydata/xarray/pull/3733#issuecomment-603901324,https://api.github.com/repos/pydata/xarray/issues/3733,603901324,MDEyOklzc3VlQ29tbWVudDYwMzkwMTMyNA==,20629530,2020-03-25T15:19:53Z,2020-03-25T15:19:53Z,CONTRIBUTOR,Ping. It be green.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,557627188
https://github.com/pydata/xarray/pull/3733#issuecomment-580369935,https://api.github.com/repos/pydata/xarray/issues/3733,580369935,MDEyOklzc3VlQ29tbWVudDU4MDM2OTkzNQ==,20629530,2020-01-30T17:39:54Z,2020-01-30T22:23:31Z,CONTRIBUTOR,"Oh `dask=""allowed""`, that's true! 
For the coeficients and residuals, I can easily do this stacking and unstacking and return only one variable. So, `apply_ufunc` could be used. However, it would not be very useful right now, considering they way I implemented the least-squares fit directly. Meaning: the left hand side computation and scaling and the not-fitted-dimensions stacking would be done on each call of `numpy.polyfit` if I did call it directly. Right now, we save some of this overhead by doing it once before iterating on 1d axes (which is anyway needed with `skipna=True`).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,557627188