diff --git a/docs/cudf/source/user_guide/cupy-interop.ipynb b/docs/cudf/source/user_guide/cupy-interop.ipynb index 9fbac3b2578..47c6ba408fb 100644 --- a/docs/cudf/source/user_guide/cupy-interop.ipynb +++ b/docs/cudf/source/user_guide/cupy-interop.ipynb @@ -42,7 +42,7 @@ "\n", "2. We can also use `DataFrame.values`.\n", "\n", - "3. We can also convert via the [CUDA array interface](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) by using cuDF's `as_gpu_matrix` and CuPy's `asarray` functionality." + "3. We can also convert via the [CUDA array interface](https://numba.pydata.org/numba-doc/dev/cuda/cuda_array_interface.html) by using cuDF's `to_cupy` functionality." ] }, { diff --git a/python/cudf/cudf/tests/test_dataframe.py b/python/cudf/cudf/tests/test_dataframe.py index d9e9a4dbba1..1fcfbe5fc91 100644 --- a/python/cudf/cudf/tests/test_dataframe.py +++ b/python/cudf/cudf/tests/test_dataframe.py @@ -4286,26 +4286,26 @@ def test_series_values_property(data): pytest.param( {"A": [1, None, 3], "B": [1, 2, None]}, marks=pytest.mark.xfail( - reason="Nulls not supported by as_gpu_matrix" + reason="Nulls not supported by values accessor" ), ), pytest.param( {"A": [None, None, None], "B": [None, None, None]}, marks=pytest.mark.xfail( - reason="Nulls not supported by as_gpu_matrix" + reason="Nulls not supported by values accessor" ), ), {"A": [], "B": []}, pytest.param( {"A": [1, 2, 3], "B": ["a", "b", "c"]}, marks=pytest.mark.xfail( - reason="str or categorical not supported by as_gpu_matrix" + reason="str or categorical not supported by values accessor" ), ), pytest.param( {"A": pd.Categorical(["a", "b", "c"]), "B": ["d", "e", "f"]}, marks=pytest.mark.xfail( - reason="str or categorical not supported by as_gpu_matrix" + reason="str or categorical not supported by values accessor" ), ), ],