Function test_groupby_grouping_errors

xarray/tests/test_groupby.py:743–771

()

def test_groupby_grouping_errors() -> None:
    dataset = xr.Dataset({"foo": ("x", [1, 1, 1])}, {"x": [1, 2, 3]})
    with pytest.raises(
        ValueError, match=r"None of the data falls within bins with edges"
    ):
        dataset.groupby_bins("x", bins=[0.1, 0.2, 0.3])

    with pytest.raises(
        ValueError, match=r"None of the data falls within bins with edges"
    ):
        dataset.to_dataarray().groupby_bins("x", bins=[0.1, 0.2, 0.3])

    with pytest.raises(ValueError, match=r"All bin edges are NaN."):
        dataset.groupby_bins("x", bins=[np.nan, np.nan, np.nan])

    with pytest.raises(ValueError, match=r"All bin edges are NaN."):
        dataset.to_dataarray().groupby_bins("x", bins=[np.nan, np.nan, np.nan])

    with pytest.raises(ValueError, match=r"Failed to group data."):
        dataset.groupby(dataset.foo * np.nan)

    with pytest.raises(ValueError, match=r"Failed to group data."):
        dataset.to_dataarray().groupby(dataset.foo * np.nan)

    with pytest.raises(TypeError, match=r"Cannot group by a Grouper object"):
        dataset.groupby(UniqueGrouper(labels=[1, 2, 3]))  # type: ignore[arg-type]

    with pytest.raises(TypeError, match=r"got multiple values for argument"):
        UniqueGrouper(dataset.x, labels=[1, 2, 3])  # type: ignore[misc]


def test_groupby_reduce_dimension_error(array) -> None: