BUG: Using agg with groupy, as_index=False still returning group variable as index

doc/source/whatsnew/v0.25.0.rst

@@ -170,7 +170,7 @@ Plotting
 Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
--
+- Bug in :method:'agg' when pqssing a list in the method agg on a Groupby with attibute as_index set as False, returned a DataFrame with the Groupby key as an index, now return the Groupby key as a column.
 -
 -
 

pandas/core/base.py

@@ -557,7 +557,7 @@ def is_any_frame():
  # we require a list, but not an 'str'
  return self._aggregate_multiple_funcs(arg,
  _level=_level,
- _axis=_axis), None
+ _axis=_axis), True
  else:
  result = None
 

pandas/tests/groupby/aggregate/test_aggregate.py

@@ -286,3 +286,23 @@ def test_multi_function_flexible_mix(df):
  with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
  result = grouped.aggregate(d)
  tm.assert_frame_equal(result, expected)
+
+
+def test_not_as_index_agg_list():
+
+ array = [[3, 1, 2],
+ [3, 3, 4],
+ [4, 5, 6],
+ [4, 7, 8]]
+ df = pd.DataFrame(array, columns=['shouldnt_be_index', 'A', 'B'])
+ groupby = df.groupby('shouldnt_be_index', as_index=False)
+ result = groupby.agg(['min', 'max'])
+
+ array2 = [[3, 1, 3, 2, 4],
+ [4, 5, 7, 6, 8]]
+ columns = pd.MultiIndex(levels=[['A', 'B', 'shouldnt_be_index'],
+ ['min', 'max', '']],
+ codes=[[2, 0, 0, 1, 1], [2, 0, 1, 0, 1]])
+ expected = pd.DataFrame(array2, columns=columns)
+
+ tm.assert_frame_equal(result, expected)