diff --git a/pynapple/core/time_series.py b/pynapple/core/time_series.py
index 41a84888..fbb3d9ee 100644
--- a/pynapple/core/time_series.py
+++ b/pynapple/core/time_series.py
@@ -1169,27 +1169,24 @@ def __getitem__(self, key, *args, **kwargs):
                 index = np.array([index])
 
             if all(is_array_like(a) for a in [index, output]):
-                if (
-                    (len(index) == 1)
-                    and (output.ndim == 1)
-                    and (
-                        (len(output) > 1)
-                        or isinstance(key, (int, slice))
-                        or isinstance(key[1], (list, np.ndarray))
-                    )
-                ):
-                    # reshape output of single index to preserve column axis if there are more than one columns being indexed
-                    # or if column key is a list or array
+                if isinstance(key, tuple):
+                    if (
+                        len(index) == 1
+                        and output.ndim == 1
+                        and not isinstance(key[1], int)
+                    ):
+                        output = output[None, :]
+                    elif (
+                        (output.ndim == 1)
+                        and isinstance(key[1], (list, np.ndarray))
+                        and (len(columns) == 1)
+                    ):
+                        # reshape output of single column if column key is a list or array
+                        output = output[:, None]
+                # if getting a row (1 dim implied)
+                elif isinstance(key, Number):
                     output = output[None, :]
 
-                elif (
-                    (output.ndim == 1)
-                    and isinstance(key[1], (list, np.ndarray))
-                    and (len(columns) == 1)
-                ):
-                    # reshape output of single column if column key is a list or array
-                    output = output[:, None]
-
                 kwargs["columns"] = columns
                 kwargs["metadata"] = self._metadata.loc[columns]
                 return _initialize_tsd_output(
diff --git a/tests/test_time_series.py b/tests/test_time_series.py
index 04948d88..354104ed 100755
--- a/tests/test_time_series.py
+++ b/tests/test_time_series.py
@@ -1051,10 +1051,10 @@ def test_vertical_slicing(self, tsdframe, index):
         "row",
         [
             0,
-            # [0, 2],
-            # slice(20, 30),
-            # np.hstack([np.zeros(10, bool), True, True, True, np.zeros(87, bool)]),
-            # np.hstack([np.zeros(10, bool), True, np.zeros(89, bool)]),
+            [0, 2],
+            slice(20, 30),
+            np.hstack([np.zeros(10, bool), True, True, True, np.zeros(87, bool)]),
+            np.hstack([np.zeros(10, bool), True, np.zeros(89, bool)]),
         ],
     )
     @pytest.mark.parametrize(
@@ -1072,9 +1072,6 @@ def test_vert_and_horz_slicing(self, tsdframe, row, col, expected):
         if tsdframe.shape[1] == 1:
             if isinstance(col, list) and isinstance(col[0], int):
                 col = [0]
-            elif isinstance(col, slice):
-                col = slice(0, 1)
-                expected = nap.Tsd
             elif isinstance(col, list) and isinstance(col[0], bool):
                 col = [col[0]]