BUG: duplicate indexing with embedded non-orderables (#17610)

Author: gloryfromca

doc/source/whatsnew/v0.22.0.txt

@@ -268,6 +268,8 @@ Indexing
 - Bug in :func:`IntervalIndex.symmetric_difference` where the symmetric difference with a non-``IntervalIndex`` did not raise (:issue:`18475`)
 - Bug in indexing a datetimelike ``Index`` that raised ``ValueError`` instead of ``IndexError`` (:issue:`18386`).
 - Bug in tz-aware :class:`DatetimeIndex` where addition/subtraction with a :class:`TimedeltaIndex` or array with ``dtype='timedelta64[ns]'`` was incorrect (:issue:`17558`)
+- Bug in indexing non_scalar item with unique index in ``Series`` containing duplicate index, returns ``Series`` wrapping value flatted. (:issue:`17610`)
+
 
 I/O
 ^^^

pandas/core/series.py

@@ -666,11 +666,13 @@ def __getitem__(self, key):
 
                     # we need to box if we have a non-unique index here
                     # otherwise have inline ndarray/lists
-                    if not self.index.is_unique:
-                        result = self._constructor(
-                            result, index=[key] * len(result),
-                            dtype=self.dtype).__finalize__(self)
-
+                    try:
+                        if not is_scalar(self.index.get_loc(key)):
+                            result = self._constructor(
+                                result, index=[key] * len(result),
+                                dtype=self.dtype).__finalize__(self)
+                    except KeyError:
+                        return result
             return result
         except InvalidIndexError:
             pass

pandas/tests/series/test_indexing.py

@@ -547,6 +547,22 @@ def test_getitem_setitem_periodindex(self):
         result[4:8] = ts[4:8]
         assert_series_equal(result, ts)
 
+    def test_getitem_with_duplicates_indices(self):
+        # GH 17610
+        result_1 = pd.Series({1: 12, 2: [1, 2, 2, 3]})
+        result = result_1.append(pd.Series({1: 313}))
+        expected_1 = pd.Series({1: 12, }, dtype=object)
+        expected = expected_1.append(pd.Series({1: 313}))
+        assert_series_equal(result[1], expected)
+        assert result[2] == [1, 2, 2, 3]
+
+        result_1 = pd.Series({1: [1, 2, 3], 2: [1, 2, 2, 3]})
+        result = result_1.append(pd.Series({1: [1, 2, 3]}))
+        expected_1 = pd.Series({1: [1, 2, 3], })
+        expected = expected_1.append(pd.Series({1: [1, 2, 3]}))
+        assert_series_equal(result[1], expected)
+        assert result[2] == [1, 2, 2, 3]
+
     def test_getitem_median_slice_bug(self):
         index = date_range('20090415', '20090519', freq='2B')
         s = Series(np.random.randn(13), index=index)