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/4540#issuecomment-902257325,https://api.github.com/repos/pydata/xarray/issues/4540,902257325,IC_kwDOAMm_X841x1qt,2448579,2021-08-19T21:22:52Z,2021-08-19T21:22:52Z,MEMBER,"Hi @tlogan2000 , this is moving forward but slowly.

The good news is that I got resampling working this week (at least for some minimal test cases). It works by rechunking so that every chunk boundary lines up with a group boundary, and then applies numpy_groupies blockwise.

https://github.com/dcherian/dask_groupby/blob/8a30c4b20f23acacfc3b53dbeab2a7b268ecd3fc/dask_groupby/xarray.py#L268-L272

You can test it out with something like this
``` python
dask_groupby.xarray.resample_reduce(ds.resample(time=""M""), func=""mean"")
```

For general groupby use
``` python
dask_groupby.xarray.xarray_reduce(...)
```
This still fails a few xarray tests but a lot of them pass! Let me know how it goes and please file bug reports over at the dask_groupby repo if you find any.

","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,729208432
https://github.com/pydata/xarray/pull/4540#issuecomment-865398930,https://api.github.com/repos/pydata/xarray/issues/4540,865398930,MDEyOklzc3VlQ29tbWVudDg2NTM5ODkzMA==,2448579,2021-06-21T23:02:20Z,2021-06-21T23:02:20Z,MEMBER,No worries @max-sixty! It looks like @andersy005 will be trying to get this completed soon,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,729208432