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/7456#issuecomment-1397312215,https://api.github.com/repos/pydata/xarray/issues/7456,1397312215,IC_kwDOAMm_X85TSUrX,2448579,2023-01-19T17:03:35Z,2023-01-19T17:03:35Z,MEMBER,">  the documentation is very misleading

Updating the docstring would be a fairly easy and impactful PR if you're up for it!","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1397025755,https://api.github.com/repos/pydata/xarray/issues/7456,1397025755,IC_kwDOAMm_X85TROvb,2448579,2023-01-19T14:00:49Z,2023-01-19T14:00:49Z,MEMBER,"I think it might be enough to describe this thoroughly with examples in the docstring., though I do like the solution of recommending `transpose`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1396923313,https://api.github.com/repos/pydata/xarray/issues/7456,1396923313,IC_kwDOAMm_X85TQ1ux,14808389,2023-01-19T12:47:32Z,2023-01-19T12:48:06Z,MEMBER,"I wonder if we shouldn't recommend using `expand_dims` without `axis` plus a `transpose` afterwards if we care about dimension order? Most of `xarray`'s functions work without making assumptions about the dimension order, and I don't think `expand_dims` should, either (though I might be missing something, of course)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645
https://github.com/pydata/xarray/issues/7456#issuecomment-1396749591,https://api.github.com/repos/pydata/xarray/issues/7456,1396749591,IC_kwDOAMm_X85TQLUX,5821660,2023-01-19T10:26:56Z,2023-01-19T10:26:56Z,MEMBER,"@cmdupuis3 dimensions are not given in a particular order in the Dataset. There could be two DataArray's which have reversed dimensions for instance.

You would need to inspect the DataArray's:

```python
da = xr.DataArray([[1,2,3],[4,5,6],[7,8,9]], coords={'a':[1,2,3], 'b':[1,2,3]})
ds = xr.Dataset({'da':da})
ds0 = ds.expand_dims('yomama', axis=0)
print(ds0.dims)
print(ds0.da.dims)
ds1 = ds.expand_dims('yomama', axis=1)
print(ds1.dims)
print(ds1.da.dims)
ds2 = ds.expand_dims('yomama', axis=2)
print(ds2.dims)
print(ds2.da.dims)
```
```python
Frozen({'a': 3, 'b': 3, 'yomama': 1})
('yomama', 'a', 'b')
Frozen({'a': 3, 'b': 3, 'yomama': 1})
('a', 'yomama', 'b')
Frozen({'a': 3, 'b': 3, 'yomama': 1})
('a', 'b', 'yomama')
```","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1548355645