BUG: Fix agg ingore arg/kwargs when given list like func

doc/source/whatsnew/v2.0.0.rst

@@ -1304,6 +1304,7 @@ Groupby/resample/rolling
 - Bug in :meth:`.DataFrameGroupBy.transform` and :meth:`.SeriesGroupBy.transform` would raise incorrectly when grouper had ``axis=1`` for ``"ngroup"`` argument (:issue:`45986`)
 - Bug in :meth:`.DataFrameGroupBy.describe` produced incorrect results when data had duplicate columns (:issue:`50806`)
 - Bug in :meth:`.DataFrameGroupBy.agg` with ``engine="numba"`` failing to respect ``as_index=False`` (:issue:`51228`)
+- Bug in :meth:`DataFrameGroupBy.agg`, :meth:`SeriesGroupBy.agg`, and :meth:`Resampler.agg` would ignore arguments when passed a list of functions (:issue:`50863`)
 -
 
 Reshaping
@@ -1317,6 +1318,7 @@ Reshaping
 - Clarified error message in :func:`merge` when passing invalid ``validate`` option (:issue:`49417`)
 - Bug in :meth:`DataFrame.explode` raising ``ValueError`` on multiple columns with ``NaN`` values or empty lists (:issue:`46084`)
 - Bug in :meth:`DataFrame.transpose` with ``IntervalDtype`` column with ``timedelta64[ns]`` endpoints (:issue:`44917`)
+- Bug in :meth:`DataFrame.agg` and :meth:`Series.agg` would ignore arguments when passed a list of functions (:issue:`50863`)
 -
 
 Sparse

pandas/core/apply.py

@@ -332,19 +332,28 @@ def agg_list_like(self) -> DataFrame | Series:
 
                 for a in arg:
                     colg = obj._gotitem(selected_obj.name, ndim=1, subset=selected_obj)
-                    new_res = colg.aggregate(a)
+                    if isinstance(colg, (ABCSeries, ABCDataFrame)):
+                        new_res = colg.aggregate(
+                            a, self.axis, *self.args, **self.kwargs
+                        )
+                    else:
+                        new_res = colg.aggregate(a, *self.args, **self.kwargs)
                     results.append(new_res)
 
                     # make sure we find a good name
                     name = com.get_callable_name(a) or a
                     keys.append(name)
 
-            # multiples
             else:
                 indices = []
                 for index, col in enumerate(selected_obj):
                     colg = obj._gotitem(col, ndim=1, subset=selected_obj.iloc[:, index])
-                    new_res = colg.aggregate(arg)
+                    if isinstance(colg, (ABCSeries, ABCDataFrame)):
+                        new_res = colg.aggregate(
+                            arg, self.axis, *self.args, **self.kwargs
+                        )
+                    else:
+                        new_res = colg.aggregate(arg, *self.args, **self.kwargs)
                     results.append(new_res)
                     indices.append(index)
                 keys = selected_obj.columns.take(indices)

pandas/core/groupby/generic.py

@@ -243,7 +243,7 @@ def aggregate(self, func=None, *args, engine=None, engine_kwargs=None, **kwargs)
             # Catch instances of lists / tuples
             # but not the class list / tuple itself.
             func = maybe_mangle_lambdas(func)
-            ret = self._aggregate_multiple_funcs(func)
+            ret = self._aggregate_multiple_funcs(func, *args, **kwargs)
             if relabeling:
                 # columns is not narrowed by mypy from relabeling flag
                 assert columns is not None  # for mypy
@@ -275,7 +275,7 @@ def aggregate(self, func=None, *args, engine=None, engine_kwargs=None, **kwargs)
 
     agg = aggregate
 
-    def _aggregate_multiple_funcs(self, arg) -> DataFrame:
+    def _aggregate_multiple_funcs(self, arg, *args, **kwargs) -> DataFrame:
         if isinstance(arg, dict):
             if self.as_index:
                 # GH 15931
@@ -300,7 +300,7 @@ def _aggregate_multiple_funcs(self, arg) -> DataFrame:
             for idx, (name, func) in enumerate(arg):
 
                 key = base.OutputKey(label=name, position=idx)
-                results[key] = self.aggregate(func)
+                results[key] = self.aggregate(func, *args, **kwargs)
 
         if any(isinstance(x, DataFrame) for x in results.values()):
             from pandas import concat

pandas/tests/apply/test_frame_apply.py

@@ -1623,3 +1623,25 @@ def test_any_apply_keyword_non_zero_axis_regression():
 
     result = df.apply("any", 1)
     tm.assert_series_equal(result, expected)
+
+
+def test_agg_list_like_func_with_args():
+    # GH 50624
+    df = DataFrame({"x": [1, 2, 3]})
+
+    def foo1(x, a=1, c=0):
+        return x + a + c
+
+    def foo2(x, b=2, c=0):
+        return x + b + c
+
+    msg = r"foo1\(\) got an unexpected keyword argument 'b'"
+    with pytest.raises(TypeError, match=msg):
+        df.agg([foo1, foo2], 0, 3, b=3, c=4)
+
+    result = df.agg([foo1, foo2], 0, 3, c=4)
+    expected = DataFrame(
+        [[8, 8], [9, 9], [10, 10]],
+        columns=MultiIndex.from_tuples([("x", "foo1"), ("x", "foo2")]),
+    )
+    tm.assert_frame_equal(result, expected)

pandas/tests/apply/test_series_apply.py

@@ -107,6 +107,26 @@ def f(x, a=0, b=0, c=0):
     tm.assert_series_equal(result, expected)
 
 
+def test_agg_list_like_func_with_args():
+    # GH 50624
+
+    s = Series([1, 2, 3])
+
+    def foo1(x, a=1, c=0):
+        return x + a + c
+
+    def foo2(x, b=2, c=0):
+        return x + b + c
+
+    msg = r"foo1\(\) got an unexpected keyword argument 'b'"
+    with pytest.raises(TypeError, match=msg):
+        s.agg([foo1, foo2], 0, 3, b=3, c=4)
+
+    result = s.agg([foo1, foo2], 0, 3, c=4)
+    expected = DataFrame({"foo1": [8, 9, 10], "foo2": [8, 9, 10]})
+    tm.assert_frame_equal(result, expected)
+
+
 def test_series_map_box_timestamps():
     # GH#2689, GH#2627
     ser = Series(pd.date_range("1/1/2000", periods=10))

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -1468,3 +1468,49 @@ def test_agg_of_mode_list(test, constant):
     expected = expected.set_index(0)
 
     tm.assert_frame_equal(result, expected)
+
+
+def test__dataframe_groupy_agg_list_like_func_with_args():
+    # GH 50624
+    df = DataFrame({"x": [1, 2, 3], "y": ["a", "b", "c"]})
+    gb = df.groupby("y")
+
+    def foo1(x, a=1, c=0):
+        return x.sum() + a + c
+
+    def foo2(x, b=2, c=0):
+        return x.sum() + b + c
+
+    msg = r"foo1\(\) got an unexpected keyword argument 'b'"
+    with pytest.raises(TypeError, match=msg):
+        gb.agg([foo1, foo2], 3, b=3, c=4)
+
+    result = gb.agg([foo1, foo2], 3, c=4)
+    expected = DataFrame(
+        [[8, 8], [9, 9], [10, 10]],
+        index=Index(["a", "b", "c"], name="y"),
+        columns=MultiIndex.from_tuples([("x", "foo1"), ("x", "foo2")]),
+    )
+    tm.assert_frame_equal(result, expected)
+
+
+def test__series_groupy_agg_list_like_func_with_args():
+    # GH 50624
+    s = Series([1, 2, 3])
+    sgb = s.groupby(s)
+
+    def foo1(x, a=1, c=0):
+        return x.sum() + a + c
+
+    def foo2(x, b=2, c=0):
+        return x.sum() + b + c
+
+    msg = r"foo1\(\) got an unexpected keyword argument 'b'"
+    with pytest.raises(TypeError, match=msg):
+        sgb.agg([foo1, foo2], 3, b=3, c=4)
+
+    result = sgb.agg([foo1, foo2], 3, c=4)
+    expected = DataFrame(
+        [[8, 8], [9, 9], [10, 10]], index=Index([1, 2, 3]), columns=["foo1", "foo2"]
+    )
+    tm.assert_frame_equal(result, expected)

pandas/tests/resample/test_resample_api.py

@@ -633,6 +633,31 @@ def test_try_aggregate_non_existing_column():
         df.resample("30T").agg({"x": ["mean"], "y": ["median"], "z": ["sum"]})
 
 
+def test_agg_list_like_func_with_args():
+    # 50624
+    df = DataFrame(
+        {"x": [1, 2, 3]}, index=date_range("2020-01-01", periods=3, freq="D")
+    )
+
+    def foo1(x, a=1, c=0):
+        return x + a + c
+
+    def foo2(x, b=2, c=0):
+        return x + b + c
+
+    msg = r"foo1\(\) got an unexpected keyword argument 'b'"
+    with pytest.raises(TypeError, match=msg):
+        df.resample("D").agg([foo1, foo2], 3, b=3, c=4)
+
+    result = df.resample("D").agg([foo1, foo2], 3, c=4)
+    expected = DataFrame(
+        [[8, 8], [9, 9], [10, 10]],
+        index=date_range("2020-01-01", periods=3, freq="D"),
+        columns=pd.MultiIndex.from_tuples([("x", "foo1"), ("x", "foo2")]),
+    )
+    tm.assert_frame_equal(result, expected)
+
+
 def test_selection_api_validation():
     # GH 13500
     index = date_range(datetime(2005, 1, 1), datetime(2005, 1, 10), freq="D")