issues: 948727717

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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

 
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