fix: dataframe conditional where axis=1 failing on _NoDefault object is not suscriptable

Author: suzyahyah

pandas/core/internals/managers.py

@@ -431,6 +431,8 @@ def apply(
                             kwargs[k] = obj.iloc[b.mgr_locs.indexer]._values
                         else:
                             kwargs[k] = obj.iloc[:, b.mgr_locs.indexer]._values
+                    elif isinstance(obj, lib._NoDefault):
+                        pass
                     else:
                         # otherwise we have an ndarray
                         kwargs[k] = obj[b.mgr_locs.indexer]

pandas/tests/series/indexing/test_where.py

@@ -443,3 +443,16 @@ def test_where_datetimelike_categorical(tz_naive_fixture):
     res = pd.DataFrame(lvals).where(mask[:, None], pd.DataFrame(rvals))
 
     tm.assert_frame_equal(res, pd.DataFrame(dr))
+
+@pytest.mark.parametrize(
+    "original,conditional,expected",
+    [([[0.0, 0.5, 0.0], [0.1, 0.0, 0.2], [0.2, 0.0, 0.0]], [True, True, False], [[0.0, 0.5, 0.0], [0.1, 0.0, 0.2], [np.nan, np.nan, np.nan]]),
+     ([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]], [True, False, True], [[1.0, 2.0, 3.0], [np.nan, np.nan, np.nan], [7.0, 8.0, 9.0]])
+    ],
+)
+def test_where_axis1(original, conditional, expected):
+    # GH 58190, 58144
+    A = pd.DataFrame(original)
+    res = A.where(Series(conditional), axis=1)
+    expected = pd.DataFrame(expected)
+    tm.assert_frame_equal(res, expected)