BUG: Coercing bool types to int in qcut (#28802)

Author: ryankarlos

doc/source/whatsnew/v1.0.0.rst

@@ -340,6 +340,7 @@ Reshaping
 - Bug in :meth:`DataFrame.stack` not handling non-unique indexes correctly when creating MultiIndex (:issue: `28301`)
 - Bug :func:`merge_asof` could not use :class:`datetime.timedelta` for ``tolerance`` kwarg (:issue:`28098`)
 - Bug in :func:`merge`, did not append suffixes correctly with MultiIndex (:issue:`28518`)
+- :func:`qcut` and :func:`cut` now handle boolean input (:issue:`20303`)
 
 Sparse
 ^^^^^^

pandas/core/reshape/tile.py

@@ -11,6 +11,7 @@
 from pandas.core.dtypes.common import (
     _NS_DTYPE,
     ensure_int64,
+    is_bool_dtype,
     is_categorical_dtype,
     is_datetime64_dtype,
     is_datetime64tz_dtype,
@@ -423,8 +424,8 @@ def _bins_to_cuts(
 
 def _coerce_to_type(x):
     """
-    if the passed data is of datetime/timedelta type,
-    this method converts it to numeric so that cut method can
+    if the passed data is of datetime/timedelta or bool type,
+    this method converts it to numeric so that cut or qcut method can
     handle it
     """
     dtype = None
@@ -437,6 +438,9 @@ def _coerce_to_type(x):
     elif is_timedelta64_dtype(x):
         x = to_timedelta(x)
         dtype = np.dtype("timedelta64[ns]")
+    elif is_bool_dtype(x):
+        # GH 20303
+        x = x.astype(np.int64)
 
     if dtype is not None:
         # GH 19768: force NaT to NaN during integer conversion

pandas/tests/reshape/test_cut.py

@@ -585,3 +585,21 @@ 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),
+        (list, tm.assert_equal),
+    ],
+)
+def test_cut_bool_coercion_to_int(bins, box, compare):
+    # issue 20303
+    data_expected = box([0, 1, 1, 0, 1] * 10)
+    data_result = box([False, True, True, False, True] * 10)
+    expected = cut(data_expected, bins, duplicates="drop")
+    result = cut(data_result, bins, duplicates="drop")
+    compare(result, expected)

pandas/tests/reshape/test_qcut.py

@@ -236,3 +236,21 @@ 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),
+        (list, tm.assert_equal),
+    ],
+)
+def test_qcut_bool_coercion_to_int(bins, box, compare):
+    # issue 20303
+    data_expected = box([0, 1, 1, 0, 1] * 10)
+    data_result = box([False, True, True, False, True] * 10)
+    expected = qcut(data_expected, bins, duplicates="drop")
+    result = qcut(data_result, bins, duplicates="drop")
+    compare(result, expected)