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
948727717,MDU6SXNzdWU5NDg3Mjc3MTc=,5623,"ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'scipy', 'store'] while opening grib data",10349239,closed,0,,,4,2021-07-20T14:44:35Z,2021-11-28T21:41:44Z,2021-11-28T21:41:43Z,NONE,,,,"I could read grib2 files using xarray and cfgrib before with the same code on another PC. 

```
import xarray as xr
import cfgrib
ds = xr.open_dataset('/home//dataset.grib',engine='cfgrib')


```
but it is showing an error in the current system as follows

> ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'scipy', 'store']

> Traceback (most recent call last):
> 
>   File ""/home/Grib_task3.py"", line 11, in <module>
>     ds = xr.open_dataset('/home/dataset.grib',engine='cfgrib')
> 
>   File ""/home/krishna/anaconda3/envs/ide/lib/python3.9/site-packages/xarray/backends/api.py"", line 482, in open_dataset
>     backend = plugins.get_backend(engine)
> 
>   File ""/home/krishna/anaconda3/envs/ide/lib/python3.9/site-packages/xarray/backends/plugins.py"", line 134, in get_backend
>     raise ValueError(
> 
> ValueError: unrecognized engine cfgrib must be one of: ['netcdf4', 'scipy', 'store']



**Environment**: ide

xr.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.9.5 (default, Jun  4 2021, 12:28:51) 
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 5.8.0-59-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_IN
LOCALE: ('en_IN', 'ISO8859-1')
libhdf5: 1.10.6
libnetcdf: 4.8.0

xarray: 0.18.2
pandas: 1.2.5
numpy: 1.20.2
scipy: 1.7.0
netCDF4: 1.5.7
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: 1.5.0
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: 0.9.9.0
iris: None
bottleneck: 1.3.2
dask: 2021.06.2
distributed: 2021.06.2
matplotlib: 3.4.2
cartopy: 0.19.0.post1
seaborn: None
numbagg: None
pint: 0.17
setuptools: 52.0.0.post20210125
pip: 21.1.3
conda: None
pytest: None
IPython: 7.22.0
sphinx: 3.2.1

","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5623/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
922939657,MDU6SXNzdWU5MjI5Mzk2NTc=,5478,Issue on page /generated/xarray.DataArray.T.html,10349239,closed,0,,,6,2021-06-16T18:15:12Z,2021-06-19T10:28:00Z,2021-06-17T21:10:04Z,NONE,,,,"what is xarray.DataArray.T? There is no much documentation about it.
When I displayed my relative humidity data-array with objective T, it displayed like below 
`rh.T`
`Out[65]: `
`<xarray.DataArray 'rh' (lev: 33, points: 1)>`
`<Quantity([[ 69.200005]`

There is no explanation about it as well.
http://xarray.pydata.org/en/stable/generated/xarray.DataArray.T.html","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/5478/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue