BUG : update SeriesGroupBy.ohlc() to honor as_index=False (pandas-dev#65141)

Author: gautamvarmadatla

doc/source/whatsnew/v3.1.0.rst

@@ -305,6 +305,7 @@ Groupby/resample/rolling
 - Bug in :meth:`.GroupBy.any` and :meth:`.GroupBy.all` returning ``NaN`` with ``float64`` dtype for unobserved categorical groups on NumPy ``bool`` data instead of the boolean identity value with ``bool`` dtype (:issue:`65100`)
 - Bug in :meth:`.Rolling.skew` and :meth:`.Rolling.kurt` (and their :class:`GroupBy` counterparts) returning ``0.0`` and ``-3.0`` respectively for degenerate windows or groups; these now return ``NaN`` (:issue:`62864`)
 - Bug in :meth:`.Rolling.skew` and :meth:`.Rolling.kurt` returning ``NaN`` for low-variance windows (:issue:`62946`)
+- Bug in :meth:`.SeriesGroupBy.ohlc` ignoring ``as_index=False`` (:issue:`65140`)
 - Bug in :meth:`DataFrame.groupby` with a :class:`Grouper` with ``freq`` raising ``AttributeError`` when all grouping keys are ``NaT`` (:issue:`43486`)
 - Bug in :meth:`Series.resample` and :meth:`DataFrame.resample` where same-frequency resampling with monthly, quarterly, or annual frequencies bypassed aggregation, returning the original values instead of the aggregation result (:issue:`18553`)
 

pandas/core/groupby/groupby.py

@@ -3423,6 +3423,8 @@ def ohlc(self) -> DataFrame:
             result = self.obj._constructor_expanddim(
                 res_values, index=self._grouper.result_index, columns=agg_names
             )
+            if not self.as_index:
+                result = result.reset_index()
             return result
 
         result = self._apply_to_column_groupbys(lambda sgb: sgb.ohlc())

pandas/tests/groupby/test_groupby.py

@@ -594,6 +594,26 @@ def test_as_index_series_return_frame(df):
     tm.assert_frame_equal(result2, expected2)
 
 
+def test_as_index_series_ohlc(df):
+    # GH#65140
+    grouped = df.groupby("A", as_index=False)
+    grouped2 = df.groupby(["A", "B"], as_index=False)
+
+    result = grouped["C"].ohlc()
+    expected = df.groupby("A")["C"].ohlc().reset_index()
+    tm.assert_frame_equal(result, expected)
+
+    result2 = grouped2["C"].ohlc()
+    expected2 = df.groupby(["A", "B"])["C"].ohlc().reset_index()
+    tm.assert_frame_equal(result2, expected2)
+
+    df_conflict = DataFrame(
+        {"open": ["A", "A", "B", "B"], "price": [1.0, 2.0, 3.0, 4.0]}
+    )
+    with pytest.raises(ValueError, match="cannot insert open, already exists"):
+        df_conflict.groupby("open", as_index=False)["price"].ohlc()
+
+
 def test_as_index_series_column_slice_raises(df):
     # GH15072
     grouped = df.groupby("A", as_index=False)