Method test_expand_dims_error

xarray/tests/test_dataset.py:3642–3682

(self)

        assert actual.xindexes["y"].equals(expected.xindexes["y"])

    def test_expand_dims_error(self) -> None:
        original = Dataset(
            {
                "x": ("a", np.random.randn(3)),
                "y": (["b", "a"], np.random.randn(4, 3)),
                "z": ("a", np.random.randn(3)),
            },
            coords={
                "a": np.linspace(0, 1, 3),
                "b": np.linspace(0, 1, 4),
                "c": np.linspace(0, 1, 5),
            },
            attrs={"key": "entry"},
        )

        with pytest.raises(ValueError, match=r"already exists"):
            original.expand_dims(dim=["x"])

        # Make sure it raises true error also for non-dimensional coordinates
        # which has dimension.
        original = original.set_coords("z")
        with pytest.raises(ValueError, match=r"already exists"):
            original.expand_dims(dim=["z"])

        original = Dataset(
            {
                "x": ("a", np.random.randn(3)),
                "y": (["b", "a"], np.random.randn(4, 3)),
                "z": ("a", np.random.randn(3)),
            },
            coords={
                "a": np.linspace(0, 1, 3),
                "b": np.linspace(0, 1, 4),
                "c": np.linspace(0, 1, 5),
            },
            attrs={"key": "entry"},
        )
        with pytest.raises(TypeError, match=r"value of new dimension"):
            original.expand_dims({"d": 3.2})
        with pytest.raises(ValueError, match=r"both keyword and positional"):
            original.expand_dims({"d": 4}, e=4)

    def test_expand_dims_int(self) -> None:
        original = Dataset(