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  • xarray.DataArray.weighted performs unweighted mean if dimension names differ without any warning · 1 ✖

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1225884104 https://github.com/pydata/xarray/issues/6952#issuecomment-1225884104 https://api.github.com/repos/pydata/xarray/issues/6952 IC_kwDOAMm_X85JEYHI mathause 10194086 2022-08-24T15:30:37Z 2022-09-01T14:42:48Z MEMBER

Good point, that can be surprising. I think a warning could be added.

python if not set(self.obj.dims) & set(self.weights.dims): warnings.warn("")

However, I wonder if that would be too noisy, e.g. if there is a scalar on the Dataset:

python xr.Dataset({"test_array": test_array, "scalar": 1}).weighted(weights2).mean()

(could potentially skip scalars in the check).

Edit:

https://github.com/pydata/xarray/blob/790a444b11c244fd2d33e2d2484a590f8fc000ff/xarray/core/weighted.py#L192

may not be the right place, as it checks it on the Dataset level (and not on the DataArray level).

 
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   xarray.DataArray.weighted performs unweighted mean if dimension names differ without any warning 1349572787

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