Method test_combine_first

xarray/tests/test_units.py:2976–3003

(self, unit, error, dtype)

        ),
    )
    def test_combine_first(self, unit, error, dtype):
        array = np.zeros(shape=(2, 2), dtype=dtype) * unit_registry.m
        other_array = np.ones_like(array) * unit

        data_array = xr.DataArray(
            data=array, coords={"x": ["a", "b"], "y": [-1, 0]}, dims=["x", "y"]
        )
        other = xr.DataArray(
            data=other_array, coords={"x": ["b", "c"], "y": [0, 1]}, dims=["x", "y"]
        )

        if error is not None:
            with pytest.raises(error):
                data_array.combine_first(other)

            return

        units = extract_units(data_array)
        expected = attach_units(
            strip_units(data_array).combine_first(
                strip_units(convert_units(other, units))
            ),
            units,
        )
        actual = data_array.combine_first(other)

        assert_units_equal(expected, actual)
        assert_identical(expected, actual)

    @pytest.mark.parametrize(
        "unit",