Add bool to int coercion tests for cut and qcut

Author: ryankarlos

pandas/tests/reshape/test_cut.py

@@ -585,3 +585,14 @@ def test_timedelta_cut_roundtrip():
         ["0 days 23:57:07.200000", "2 days 00:00:00", "3 days 00:00:00"]
     )
     tm.assert_index_equal(result_bins, expected_bins)
+
+
+@pytest.mark.parametrize("bins", [6, 7])
+@pytest.mark.parametrize("box", "compare",  [(Series, tm.assert_series_equal), (np.array,tm.assert_categorical_equal)])
+def test_cut_bool_coercion_to_int(bins, box, compare):
+    # issue 20303
+    x = box(np.random.randint(2, size=200))
+    expected = cut(x, bins, duplicates='drop')
+    data = x.astype(bool)
+    result = cut(data, bins, duplicates='drop')
+    compare(result, expected)

pandas/tests/reshape/test_qcut.py

@@ -236,3 +236,13 @@ def test_date_like_qcut_bins(arg, expected_bins):
     ser = Series(arg)
     result, result_bins = qcut(ser, 2, retbins=True)
     tm.assert_index_equal(result_bins, expected_bins)
+
+@pytest.mark.parametrize("bins", [6, 7])
+@pytest.mark.parametrize("box", "compare",  [(Series, tm.assert_series_equal), (np.array,tm.assert_categorical_equal)])
+def test_qcut_bool_coercion_to_int(bins, box, compare):
+    # issue 20303
+    x = box(np.random.randint(2, size=200))
+    expected = qcut(x, bins, duplicates='drop')
+    data = x.astype(bool)
+    result = qcut(data, bins, duplicates='drop')
+    compare(result, expected)