Fix docstring (pandas-dev#57167)

* fix PR02 error in clip function

* fix PR02 error in argsort function

Author: thiphan94

ci/code_checks.sh

@@ -93,7 +93,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.TimedeltaIndex.ceil\
         pandas.PeriodIndex\
         pandas.PeriodIndex.strftime\
-        pandas.Series.clip\
         pandas.Series.rename_axis\
         pandas.Series.dt.to_period\
         pandas.Series.dt.tz_localize\
@@ -115,7 +114,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Series.plot.barh\
         pandas.Series.plot.line\
         pandas.Series.plot.pie\
-        pandas.DataFrame.clip\
         pandas.DataFrame.plot\
         pandas.DataFrame.plot.bar\
         pandas.DataFrame.plot.barh\
@@ -183,8 +181,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.core.groupby.DataFrameGroupBy.plot\
         pandas.core.groupby.SeriesGroupBy.plot\
         pandas.core.window.rolling.Rolling.quantile\
-        pandas.core.window.expanding.Expanding.quantile\
-        pandas.api.extensions.ExtensionArray.argsort # There should be no backslash in the final line, please keep this comment in the last ignored function
+        pandas.core.window.expanding.Expanding.quantile # There should be no backslash in the final line, please keep this comment in the last ignored function
     RET=$(($RET + $?)) ; echo $MSG "DONE"
 
 fi

pandas/core/arrays/base.py

@@ -818,7 +818,7 @@ def argsort(
         na_position : {'first', 'last'}, default 'last'
             If ``'first'``, put ``NaN`` values at the beginning.
             If ``'last'``, put ``NaN`` values at the end.
-        *args, **kwargs:
+        **kwargs
             Passed through to :func:`numpy.argsort`.
 
         Returns

pandas/core/generic.py

@@ -8962,7 +8962,7 @@ def clip(
             For `Series` this parameter is unused and defaults to `None`.
         inplace : bool, default False
             Whether to perform the operation in place on the data.
-        *args, **kwargs
+        **kwargs
             Additional keywords have no effect but might be accepted
             for compatibility with numpy.