Groupby Agg not working if different partials with same name on the same column

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -62,6 +62,30 @@ def test_agg_ser_multi_key(df):
     tm.assert_series_equal(results, expected)
 
 
+def test_agg_different_partials():
+    # for issue 28570
+
+    def add_top_column(df, top_col):
+        df.columns = pd.MultiIndex.from_product([[top_col], df.columns])
+        return df
+
+    quant50 = partial(np.percentile, q=50)
+    quant50.__name__ = "quant50"
+    quant70 = partial(np.percentile, q=70)
+    quant70.__name__ = "quant70"
+
+    test = pd.DataFrame({"col1": ["a", "a", "b", "b", "b"], "col2": [1, 2, 3, 4, 5]})
+    test = test.groupby("col1").agg({"col2": [quant50, quant70]})
+
+    expected_df = pd.DataFrame(
+        {"col1": ["a", "b"], "quant50": [1.5, 4.0], "quant70": [1.7, 4.4]}
+    )
+    expected_df = expected_df.set_index("col1")
+    expected_df = add_top_column(expected_df, "col2")
+
+    tm.assert_frame_equal(test, expected_df)
+
+
 def test_groupby_aggregation_mixed_dtype():
     # GH 6212
     expected = DataFrame(