issues: 624778130

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624778130 MDU6SXNzdWU2MjQ3NzgxMzA= 4095 merging non-dimension coordinates with the Dataset constructor 14808389 open 0     1 2020-05-26T10:30:37Z 2022-04-19T13:54:43Z   MEMBER      

When adding two DataArray objects with different coordinates to a Dataset, a MergeError is raised even though one of the conflicting coords is a subset of the other. Merging dimension coordinates works so I'd expect associated non-dimension coordinates to work, too.

This fails: ```python In [1]: import xarray as xr ...: import numpy as np

In [2]: a = np.linspace(0, 1, 10) ...: b = np.linspace(-1, 0, 12) ...: ...: x_a = np.arange(10) ...: x_b = np.arange(12) ...: ...: y_a = x_a * 1000 ...: y_b = x_b * 1000 ...: ...: arr1 = xr.DataArray(data=a, coords={"x": x_a, "y": ("x", y_a)}, dims="x") ...: arr2 = xr.DataArray(data=b, coords={"x": x_b, "y": ("x", y_b)}, dims="x") ...: ...: xr.Dataset({"a": arr1, "b": arr2}) ... MergeError: conflicting values for variable 'y' on objects to be combined. You can skip this check by specifying compat='override'. While this works:python In [3]: a = np.linspace(0, 1, 10) ...: b = np.linspace(-1, 0, 12) ...: ...: x_a = np.arange(10) ...: x_b = np.arange(12) ...: ...: y_a = x_a * 1000 ...: y_b = x_b * 1000 ...: ...: xr.Dataset({ ...: "a": xr.DataArray(data=a, coords={"x": x_a}, dims="x"), ...: "b": xr.DataArray(data=b, coords={"x": x_b}, dims="x"), ...: }) Out[3]: <xarray.Dataset> Dimensions: (x: 12) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 Data variables: a (x) float64 0.0 0.1111 0.2222 0.3333 0.4444 ... 0.8889 1.0 nan nan b (x) float64 -1.0 -0.9091 -0.8182 -0.7273 ... -0.1818 -0.09091 0.0 ```

I can work around this by calling: python In [4]: xr.merge([arr1.rename("a").to_dataset(), arr2.rename("b").to_dataset()]) Out[4]: <xarray.Dataset> Dimensions: (x: 12) Coordinates: * x (x) int64 0 1 2 3 4 5 6 7 8 9 10 11 y (x) float64 0.0 1e+03 2e+03 3e+03 ... 8e+03 9e+03 1e+04 1.1e+04 Data variables: a (x) float64 0.0 0.1111 0.2222 0.3333 0.4444 ... 0.8889 1.0 nan nan b (x) float64 -1.0 -0.9091 -0.8182 -0.7273 ... -0.1818 -0.09091 0.0 but I think the Dataset constructor should be capable of that, too.

 
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