BUG: Pandas any() returning false with true values present (GH #23070)

doc/source/whatsnew/v0.24.0.rst

@@ -1412,6 +1412,7 @@ Timezones
 - Bug in :class:`Timestamp` constructor where a ``dateutil.tz.tzutc`` timezone passed with a ``datetime.datetime`` argument would be converted to a ``pytz.UTC`` timezone (:issue:`23807`)
 - Bug in :func:`to_datetime` where ``utc=True`` was not respected when specifying a ``unit`` and ``errors='ignore'`` (:issue:`23758`)
 - Bug in :func:`to_datetime` where ``utc=True`` was not respected when passing a :class:`Timestamp` (:issue:`24415`)
+- Bug in :meth:`DataFrame.any` returns wrong value when ``axis=1`` and the data is of datetimelike type (:issue:`23070`)
 
 Offsets
 ^^^^^^^

pandas/core/frame.py

@@ -7291,7 +7291,7 @@ def f(x):
                 if filter_type is None or filter_type == 'numeric':
                     data = self._get_numeric_data()
                 elif filter_type == 'bool':
-                    data = self._get_bool_data()
+                    data = 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

@@ -228,13 +228,6 @@ def assert_bool_op_api(opname, bool_frame_with_na, float_string_frame,
     getattr(mixed, opname)(axis=0)
     getattr(mixed, opname)(axis=1)
 
-    class NonzeroFail(object):
-
-        def __nonzero__(self):
-            raise ValueError
-
-    mixed['_nonzero_fail_'] = NonzeroFail()
-
     if has_bool_only:
         getattr(mixed, opname)(axis=0, bool_only=True)
         getattr(mixed, opname)(axis=1, bool_only=True)
@@ -1374,25 +1367,22 @@ def test_any_all_extra(self):
         result = df[['C']].all(axis=None).item()
         assert result is True
 
-        # skip pathological failure cases
-        # class CantNonzero(object):
-
-        #     def __nonzero__(self):
-        #         raise ValueError
+    def test_any_datetime(self):
 
-        # df[4] = CantNonzero()
-
-        # it works!
-        # df.any(1)
-        # df.all(1)
-        # df.any(1, bool_only=True)
-        # df.all(1, bool_only=True)
+        # GH 23070
+        float_data = [1, np.nan, 3, np.nan]
+        datetime_data = [pd.Timestamp('1960-02-15'),
+                         pd.Timestamp('1960-02-16'),
+                         pd.NaT,
+                         pd.NaT]
+        df = DataFrame({
+            "A": float_data,
+            "B": datetime_data
+        })
 
-        # df[4][4] = np.nan
-        # df.any(1)
-        # df.all(1)
-        # df.any(1, bool_only=True)
-        # df.all(1, bool_only=True)
+        result = df.any(1)
+        expected = Series([True, True, True, False])
+        tm.assert_series_equal(result, expected)
 
     @pytest.mark.parametrize('func, data, expected', [
         (np.any, {}, False),