diff --git a/python/cudf/cudf/core/dataframe.py b/python/cudf/cudf/core/dataframe.py index ca337e545d..a3fae16070 100644 --- a/python/cudf/cudf/core/dataframe.py +++ b/python/cudf/cudf/core/dataframe.py @@ -4788,7 +4788,7 @@ def apply( supported by the CUDA Python Numba target `__. For more information, see the `cuDF guide to user defined functions - `__. + `__. Some string functions and methods are supported. Refer to the guide to UDFs for details. diff --git a/python/cudf/cudf/core/groupby/groupby.py b/python/cudf/cudf/core/groupby/groupby.py index 1a934abbe8..3ffa45958e 100644 --- a/python/cudf/cudf/core/groupby/groupby.py +++ b/python/cudf/cudf/core/groupby/groupby.py @@ -1919,7 +1919,7 @@ def apply( allowed. Binary operations are not yet supported, so syntax like `df['x'] * 2` is not yet allowed. For more information, see the `cuDF guide to user defined functions - `__. + `__. Use `cudf` to select the iterative groupby apply algorithm which aims to provide maximum flexibility at the expense of performance. The default value `auto` will attempt to use the numba JIT pipeline diff --git a/python/cudf/cudf/core/series.py b/python/cudf/cudf/core/series.py index 8cc961b554..28bf559e98 100644 --- a/python/cudf/cudf/core/series.py +++ b/python/cudf/cudf/core/series.py @@ -2422,7 +2422,7 @@ def apply( supported by the CUDA Python Numba target `__. For more information, see the `cuDF guide to user defined functions - `__. + `__. Some string functions and methods are supported. Refer to the guide to UDFs for details. diff --git a/python/cudf/cudf/utils/ioutils.py b/python/cudf/cudf/utils/ioutils.py index 38093c6f31..ea505fe285 100644 --- a/python/cudf/cudf/utils/ioutils.py +++ b/python/cudf/cudf/utils/ioutils.py @@ -242,8 +242,8 @@ - Setting the cudf option `io.parquet.low_memory=True` will result in the chunked low memory parquet reader being used. This can make it easier to read large - parquet datasets on systems with limited GPU memory. See all `available options - `_. + parquet datasets on systems with limited GPU memory. See `cudf.read_parquet + `_. Examples -------- @@ -814,8 +814,8 @@ - Setting the cudf option `io.json.low_memory=True` will result in the chunked low memory json reader being used. This can make it easier to read large - json datasets on systems with limited GPU memory. See all `available options - `_. + json datasets on systems with limited GPU memory. See `cudf.read_json + `_. See Also --------