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
1984115907,I_kwDOAMm_X852QzTD,8430,Trying to read GRIB data,43337673,closed,0,,,2,2023-11-08T17:46:21Z,2023-11-08T17:50:42Z,2023-11-08T17:50:41Z,NONE,,,,"### What happened?

I want to read data stored in a GRIB file with xarray. To do so, I tried the following line, as suggested [here](https://docs.xarray.dev/en/stable/examples/ERA5-GRIB-example.html):
```python
ds = xr.load_dataset(myinfile, engine=""cfgrib"")
```
But the following error was returned
```
ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'h5netcdf', 'scipy', 'store', 'zarr']
```

Nevertheless, `cfgrib` seems to be well installed, I do not meet any error when I try to import this library alone.

How can I set `cfgrib`  to be a recognized engine?

Thanks in advance for your help

### What did you expect to happen?

_No response_

### Minimal Complete Verifiable Example

_No response_

### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.
- [ ] Recent environment — the issue occurs with the latest version of xarray and its dependencies.

### Relevant log output

_No response_

### Anything else we need to know?

_No response_

### Environment

<details>
xr.show_versions()


INSTALLED VERSIONS
------------------
commit: None
python: 3.9.16 (main, Jan 11 2023, 16:05:54) 
[GCC 11.2.0]
python-bits: 64
OS: Linux
OS-release: 5.15.0-87-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: ('en_US', 'UTF-8')
libhdf5: 1.14.0
libnetcdf: 4.9.2

xarray: 2023.5.0
pandas: 2.0.2
numpy: 1.24.3
scipy: 1.10.1
netCDF4: 1.6.3
pydap: None
h5netcdf: 1.2.0
h5py: 3.9.0
Nio: None
zarr: 2.16.0
cftime: 1.6.2
nc_time_axis: None
PseudoNetCDF: None
iris: None
bottleneck: 1.3.7
dask: 2023.4.1
distributed: 2023.4.1
matplotlib: 3.7.1
cartopy: 0.21.1
seaborn: None
numbagg: None
fsspec: 2023.6.0
cupy: None
pint: 0.22
sparse: 0.14.0
flox: None
numpy_groupies: None
setuptools: 67.7.2
pip: 23.1.2
conda: None
pytest: None
mypy: None
IPython: 8.13.2
sphinx: None

</details>
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