id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
342928718,MDExOlB1bGxSZXF1ZXN0MjAyNzE0MjUx,2302,WIP: lazy=True in apply_ufunc(),1217238,open,0,,,1,2018-07-20T00:01:21Z,2023-07-18T04:19:17Z,,MEMBER,,0,pydata/xarray/pulls/2302," - [x] Closes https://github.com/pydata/xarray/issues/2298
 - [ ] Tests added
 - [ ] Tests passed
 - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API

Still needs more tests and documentation.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2302/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
895983112,MDExOlB1bGxSZXF1ZXN0NjQ4MTM1NTcy,5351,Add xarray.backends.NoMatchingEngineError,1217238,open,0,,,4,2021-05-19T22:09:21Z,2022-11-16T15:19:54Z,,MEMBER,,0,pydata/xarray/pulls/5351,"<!-- Feel free to remove check-list items aren't relevant to your change -->

- [x] Closes #5329
- [x] Tests added
- [x] Passes `pre-commit run --all-files`
- [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`
- [x] New functions/methods are listed in `api.rst`
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5351/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
168272291,MDExOlB1bGxSZXF1ZXN0NzkzMjE2NTc=,924,WIP: progress toward making groupby work with multiple arguments,1217238,open,0,,,16,2016-07-29T08:07:57Z,2022-06-09T14:50:17Z,,MEMBER,,0,pydata/xarray/pulls/924,"Fixes #324 

It definitely doesn't work properly yet, totally mixing up coordinates,
data variables and multi-indexes (as shown by the failing tests).

A simple example:

```
In [4]: coords = {'a': ('x', [0, 0, 1, 1]), 'b': ('y', [0, 0, 1, 1])}

In [5]: square = xr.DataArray(np.arange(16).reshape(4, 4), coords=coords, dims=['x', 'y'])

In [6]: square
Out[6]:
<xarray.DataArray (x: 4, y: 4)>
array([[ 0,  1,  2,  3],
       [ 4,  5,  6,  7],
       [ 8,  9, 10, 11],
       [12, 13, 14, 15]])
Coordinates:
    b        (y) int64 0 0 1 1
    a        (x) int64 0 0 1 1
  * x        (x) int64 0 1 2 3
  * y        (y) int64 0 1 2 3

In [7]: square.groupby(['a', 'b']).mean()
Out[7]:
<xarray.DataArray (a: 2, b: 2)>
array([[  2.5,   4.5],
       [ 10.5,  12.5]])
Coordinates:
  * a        (a) int64 0 1
  * b        (b) int64 0 1

In [8]: square.groupby(['x', 'y']).mean()
Out[8]:
<xarray.DataArray (x: 4, y: 4)>
array([[  0.,   1.,   2.,   3.],
       [  4.,   5.,   6.,   7.],
       [  8.,   9.,  10.,  11.],
       [ 12.,  13.,  14.,  15.]])
Coordinates:
  * x        (x) int64 0 1 2 3
  * y        (y) int64 0 1 2 3
```

More examples:
https://gist.github.com/shoyer/5cfa4d5751e8a78a14af25f8442ad8d5
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/924/reactions"", ""total_count"": 4, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 3, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull