Bug: Logical operator of Series with Index (#22092)

doc/source/whatsnew/v0.24.0.txt

@@ -497,6 +497,6 @@ Other
 - :meth: `~pandas.io.formats.style.Styler.background_gradient` now takes a ``text_color_threshold`` parameter to automatically lighten the text color based on the luminance of the background color. This improves readability with dark background colors without the need to limit the background colormap range. (:issue:`21258`)
 - Require at least 0.28.2 version of ``cython`` to support read-only memoryviews (:issue:`21688`)
 - :meth: `~pandas.io.formats.style.Styler.background_gradient` now also supports tablewise application (in addition to rowwise and columnwise) with ``axis=None`` (:issue:`15204`)
--
+- Logical operation ``&, |, ^`` between :class:`Series` and :class:`Index` will no longer raise ``ValueError`` (:issue:`22092`) 
 -
 -

pandas/core/ops.py

@@ -41,7 +41,7 @@
 from pandas.core.dtypes.generic import (
     ABCSeries,
     ABCDataFrame, ABCPanel,
-    ABCIndex,
+    ABCIndex, ABCIndexClass,
     ABCSparseSeries, ABCSparseArray)
 
 
@@ -1383,7 +1383,7 @@ def na_op(x, y):
             if isinstance(y, list):
                 y = construct_1d_object_array_from_listlike(y)
 
-            if isinstance(y, (np.ndarray, ABCSeries)):
+            if isinstance(y, (np.ndarray, ABCSeries, ABCIndexClass)):
                 if (is_bool_dtype(x.dtype) and is_bool_dtype(y.dtype)):
                     result = op(x, y)  # when would this be hit?
                 else:

pandas/tests/series/test_operators.py

@@ -537,6 +537,30 @@ def test_comparison_flex_alignment_fill(self):
         exp = pd.Series([True, True, False, False], index=list('abcd'))
         assert_series_equal(left.gt(right, fill_value=0), exp)
 
+    def test_comparison_with_index(self):
+        # GH22092
+        ser = Series([True, True, False, False])
+        idx1 = Index([True, False, True, False])
+        idx2 = Index([1, 0, 1, 0])
+
+        expected = Series([True, False, False, False])
+        result1 = ser & idx1
+        assert_series_equal(result1, expected)
+        result2 = ser & idx2
+        assert_series_equal(result2, expected)
+
+        expected = Series([True, True, True, False])
+        result1 = ser | idx1
+        assert_series_equal(result1, expected)
+        result2 = ser | idx2
+        assert_series_equal(result2, expected)
+
+        expected = Series([False, True, True, False])
+        result1 = ser ^ idx1
+        assert_series_equal(result1, expected)
+        result2 = ser ^ idx2
+        assert_series_equal(result2, expected)
+
     def test_ne(self):
         ts = Series([3, 4, 5, 6, 7], [3, 4, 5, 6, 7], dtype=float)
         expected = [True, True, False, True, True]