diff --git a/pandas/core/groupby/generic.py b/pandas/core/groupby/generic.py
index c766fcaa4f849..0ae3d71d077df 100644
--- a/pandas/core/groupby/generic.py
+++ b/pandas/core/groupby/generic.py
@@ -1074,15 +1074,8 @@ def _aggregate_frame(self, func, *args, **kwargs):
         else:
             for name in self.indices:
                 data = self.get_group(name, obj=obj)
-                try:
-                    fres = func(data, *args, **kwargs)
-                except AssertionError:
-                    raise
-                except Exception:
-                    wrapper = lambda x: func(x, *args, **kwargs)
-                    result[name] = data.apply(wrapper, axis=axis)
-                else:
-                    result[name] = self._try_cast(fres, data)
+                fres = func(data, *args, **kwargs)
+                result[name] = self._try_cast(fres, data)
 
         return self._wrap_frame_output(result, obj)
 
diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py
index dff5baa9b5984..43e2a6f040414 100644
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -775,7 +775,7 @@ def test_omit_nuisance(df):
 
     # won't work with axis = 1
     grouped = df.groupby({"A": 0, "C": 0, "D": 1, "E": 1}, axis=1)
-    msg = r'\("unsupported operand type\(s\) for \+: ' "'Timestamp' and 'float'\", 0"
+    msg = r"unsupported operand type\(s\) for \+: 'Timestamp'"
     with pytest.raises(TypeError, match=msg):
         grouped.agg(lambda x: x.sum(0, numeric_only=False))