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

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -62,6 +62,33 @@ 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, inplace=False):
+        if not inplace:
+            df = df.copy()
+        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]})
+    # print(test)
+
+    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')
+    # print(expected_df)
+
+    assert(test.equals(expected_df))
+
+
 def test_groupby_aggregation_mixed_dtype():
     # GH 6212
     expected = DataFrame(