issues: 1984115907

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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
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: 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, 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

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 
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   completed 13221727 issue

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