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/2525#issuecomment-439892007,https://api.github.com/repos/pydata/xarray/issues/2525,439892007,MDEyOklzc3VlQ29tbWVudDQzOTg5MjAwNw==,14314623,2018-11-19T13:26:45Z,2018-11-19T13:26:45Z,CONTRIBUTOR,"I think mean would be a good default (thinking about cell center dimensions like longitude and latitude) but I would very much like it if other functions could be specified e. g. for grid face dimensions (where min and max would be more appropriate) and other coordinates like surface area (where sum would be the most appropriate function).



> On Nov 18, 2018, at 11:13 PM, Ryan Abernathey <notifications@github.com> wrote:
> 
> What would the coordinates look like?
> 
> apply func also for coordinate
> always apply mean to coordinate
> If I think about my applications, I would probably always want to apply mean to dimension coordinates, but would like to be able to choose for non-dimension coordinates.
> 
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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758
https://github.com/pydata/xarray/issues/2525#issuecomment-435201618,https://api.github.com/repos/pydata/xarray/issues/2525,435201618,MDEyOklzc3VlQ29tbWVudDQzNTIwMTYxOA==,14314623,2018-11-01T21:59:19Z,2018-11-01T21:59:19Z,CONTRIBUTOR,"My favorite would be `da.coarsen({'lat': 2, 'lon': 2}).mean()`, but all the others sound reasonable to me.
Also +1 for consistency with resample/rolling/groupby.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758
https://github.com/pydata/xarray/issues/2525#issuecomment-434531970,https://api.github.com/repos/pydata/xarray/issues/2525,434531970,MDEyOklzc3VlQ29tbWVudDQzNDUzMTk3MA==,14314623,2018-10-31T01:46:19Z,2018-10-31T01:46:19Z,CONTRIBUTOR,"I agree with @rabernat, and favor the index based approach. 
For regular lon-lat grids its easy enough to implement a weighted mean, and for irregular spaced grids and other exotic grids the coordinate based approach might lead to errors. To me the resample API above might suggest to some users that some proper regridding (a la xESMF) onto a regular lat/lon grid is performed. 

‚block_reduce‘ sounds good to me and sounds appropriate for non-dask arrays. Does anyone have experience how ‚dask.coarsen‘ compares performance wise? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,375126758