DOCS: fix docstring validation errors for groupby.DataFrameGroupBy.filter, groupby.SeriesGroupBy.filter (pandas-dev#59742)

* DOCS: fix docstring validation errors for pandas.core.groupby.DataFrameGroupBy.filter

DOC string fix for both groupby.DataFrameGroupBy.filter and groupby.SeriesGroupBy.filter

* Update generic.py

* Update generic.py

* Update generic.py

* quickfix

Author: ivanpan0626

ci/code_checks.sh

@@ -162,7 +162,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.groupby.DataFrameGroupBy.agg RT03" \
         -i "pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
         -i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
-        -i "pandas.core.groupby.DataFrameGroupBy.filter SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.groups SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.hist RT03" \
@@ -178,7 +177,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.agg RT03" \
         -i "pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
-        -i "pandas.core.groupby.SeriesGroupBy.filter PR01,SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.indices SA01" \

pandas/core/groupby/generic.py

@@ -600,15 +600,23 @@ def filter(self, func, dropna: bool = True, *args, **kwargs):
         ----------
         func : function
             Criterion to apply to each group. Should return True or False.
-        dropna : bool
+        dropna : bool, optional
             Drop groups that do not pass the filter. True by default; if False,
             groups that evaluate False are filled with NaNs.
+        *args : tuple
+            Optional positional arguments to pass to `func`.
+        **kwargs : dict
+            Optional keyword arguments to pass to `func`.
 
         Returns
         -------
         Series
             The filtered subset of the original Series.
 
+        See Also
+        --------
+        DataFrameGroupBy.filter : Filter elements from groups base on criterion.
+
         Notes
         -----
         Functions that mutate the passed object can produce unexpected
@@ -1943,16 +1951,20 @@ def filter(self, func, dropna: bool = True, *args, **kwargs) -> DataFrame:
         dropna : bool
             Drop groups that do not pass the filter. True by default; if False,
             groups that evaluate False are filled with NaNs.
-        *args
+        *args : tuple
             Additional positional arguments to pass to `func`.
-        **kwargs
+        **kwargs : dict
             Additional keyword arguments to pass to `func`.
 
         Returns
         -------
         DataFrame
             The filtered subset of the original DataFrame.
 
+        See Also
+        --------
+        SeriesGroupBy.filter : Filter elements from groups base on criterion.
+
         Notes
         -----
         Each subframe is endowed the attribute 'name' in case you need to know