BUG: Fixing regression in DataFrame.all and DataFrame.any with bool_only=True (#25102)

Author: devin-petersohn

doc/source/whatsnew/v0.24.2.rst

@@ -20,9 +20,7 @@ including other versions of pandas.
 Fixed Regressions
 ^^^^^^^^^^^^^^^^^
 
--
--
--
+- Fixed regression in :meth:`DataFrame.all` and :meth:`DataFrame.any` where ``bool_only=True`` was ignored (:issue:`25101`)
 
 .. _whatsnew_0242.enhancements:
 

pandas/core/frame.py

@@ -7498,7 +7498,8 @@ def f(x):
  if filter_type is None or filter_type == 'numeric':
  data = self._get_numeric_data()
  elif filter_type == 'bool':
- data = self
+ # GH 25101, # GH 24434
+ data = self._get_bool_data() if axis == 0 else self
  else: # pragma: no cover
  msg = ("Generating numeric_only data with filter_type {f}"
  "not supported.".format(f=filter_type))

pandas/tests/frame/test_analytics.py

@@ -1442,6 +1442,26 @@ def test_any_datetime(self):
  expected = Series([True, True, True, False])
  tm.assert_series_equal(result, expected)
 
+ def test_any_all_bool_only(self):
+
+ # GH 25101
+ df = DataFrame({"col1": [1, 2, 3],
+ "col2": [4, 5, 6],
+ "col3": [None, None, None]})
+
+ result = df.all(bool_only=True)
+ expected = Series(dtype=np.bool)
+ tm.assert_series_equal(result, expected)
+
+ df = DataFrame({"col1": [1, 2, 3],
+ "col2": [4, 5, 6],
+ "col3": [None, None, None],
+ "col4": [False, False, True]})
+
+ result = df.all(bool_only=True)
+ expected = Series({"col4": False})
+ tm.assert_series_equal(result, expected)
+
  @pytest.mark.parametrize('func, data, expected', [
  (np.any, {}, False),
  (np.all, {}, True),