issues: 897210919

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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
897210919 MDU6SXNzdWU4OTcyMTA5MTk= 5354 Should weighted operations raise an error when dimensions don't exist? 22245117 closed 0     2 2021-05-20T17:57:05Z 2021-05-23T23:45:47Z 2021-05-23T23:45:47Z CONTRIBUTOR      

What happened: Weighted operations don't raise an error when the dimensions passed don't exist.

What you expected to happen: This is not really a bug, but I find it a bit confusing because it's not consistent with the same "unweighted" operation.

Minimal Complete Verifiable Example:

python import xarray as xr ds = xr.tutorial.open_dataset("air_temperature") ds.weighted(xr.ones_like(ds["air"])).mean("dummy")

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.9.4 | packaged by conda-forge | (default, May 10 2021, 22:13:33) [GCC 9.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1062.18.1.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: ('en_GB', 'UTF-8') libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.18.1.dev30+g2578fc3 pandas: 1.2.4 numpy: 1.20.2 scipy: 1.6.3 netCDF4: 1.5.6 pydap: installed h5netcdf: 0.11.0 h5py: 3.2.1 Nio: None zarr: 2.8.1 cftime: 1.4.1 nc_time_axis: 1.2.0 PseudoNetCDF: None rasterio: 1.2.3 cfgrib: 0.9.9.0 iris: None bottleneck: 1.3.2 dask: 2021.05.0 distributed: 2021.05.0 matplotlib: 3.4.2 cartopy: 0.19.0.post1 seaborn: 0.11.1 numbagg: installed pint: None setuptools: 49.6.0.post20210108 pip: 21.1.1 conda: None pytest: None IPython: 7.23.1 sphinx: None 
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   completed 13221727 issue

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