@@ -323,9 +323,6 @@ def agg_or_apply_list_like(
323323
324324 is_groupby = isinstance (obj , (DataFrameGroupBy , SeriesGroupBy ))
325325
326- is_ser_or_df = isinstance (obj , (ABCDataFrame , ABCSeries ))
327- this_args = [self .axis , * self .args ] if is_ser_or_df else self .args
328-
329326 context_manager : ContextManager
330327 if is_groupby :
331328 # When as_index=False, we combine all results using indices
@@ -344,7 +341,8 @@ def include_axis(colg) -> bool:
344341 if selected_obj .ndim == 1 :
345342 for a in func :
346343 colg = obj ._gotitem (selected_obj .name , ndim = 1 , subset = selected_obj )
347- new_res = getattr (colg , op_name )(a , * this_args , ** kwargs )
344+ args = [self .axis , * self .args ] if include_axis (colg ) else self .args
345+ new_res = getattr (colg , op_name )(a , * args , ** kwargs )
348346 results .append (new_res )
349347
350348 # make sure we find a good name
@@ -355,7 +353,8 @@ def include_axis(colg) -> bool:
355353 indices = []
356354 for index , col in enumerate (selected_obj ):
357355 colg = obj ._gotitem (col , ndim = 1 , subset = selected_obj .iloc [:, index ])
358- new_res = getattr (colg , op_name )(func , * this_args , ** kwargs )
356+ args = [self .axis , * self .args ] if include_axis (colg ) else self .args
357+ new_res = getattr (colg , op_name )(func , * args , ** kwargs )
359358 results .append (new_res )
360359 indices .append (index )
361360 keys = selected_obj .columns .take (indices )
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