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DOC: use intersphinx mapping in pandas-compat ext #15846

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missing backticks
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raybellwaves committed Jul 11, 2024
commit 30c529758829508b12769242502eb6e094834696
6 changes: 3 additions & 3 deletions python/cudf/cudf/core/groupby/groupby.py
Original file line number Diff line number Diff line change
Expand Up @@ -740,7 +740,7 @@ def _reduce(

.. pandas-compat::
:meth:`pandas.core.groupby.DataFrameGroupBy.{op}`,
:meth:`pandas.core.groupby.SeriesGroupBy.{op}
:meth:`pandas.core.groupby.SeriesGroupBy.{op}`

The numeric_only, min_count
"""
Expand Down Expand Up @@ -1481,7 +1481,7 @@ def mult(df):

.. pandas-compat::
:meth:`pandas.core.groupby.DataFrameGroupBy.apply`,
:meth:`pandas.core.groupby.SeriesGroupBy.apply
:meth:`pandas.core.groupby.SeriesGroupBy.apply`

cuDF's ``groupby.apply`` is limited compared to pandas.
In some situations, Pandas returns the grouped keys as part of
Expand Down Expand Up @@ -2358,7 +2358,7 @@ def shift(self, periods=1, freq=None, axis=0, fill_value=None):

.. pandas-compat::
:meth:`pandas.core.groupby.DataFrameGroupBy.shift`,
:meth:`pandas.core.groupby.SeriesGroupBy.shift
:meth:`pandas.core.groupby.SeriesGroupBy.shift`

Parameter ``freq`` is unsupported.
"""
Expand Down
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