BUG: Change default of bool_only to False (#53283)

Author: rhshadrach

doc/source/whatsnew/v2.1.0.rst

@@ -341,9 +341,9 @@ Numeric
 - Bug in :meth:`Series.mean`, :meth:`DataFrame.mean` with object-dtype values containing strings that can be converted to numbers (e.g. "2") returning incorrect numeric results; these now raise ``TypeError`` (:issue:`36703`, :issue:`44008`)
 - Bug in :meth:`DataFrame.corrwith` raising ``NotImplementedError`` for pyarrow-backed dtypes (:issue:`52314`)
 - Bug in :meth:`DataFrame.size` and :meth:`Series.size` returning 64-bit integer instead of int (:issue:`52897`)
+- Bug in :meth:`Series.any`, :meth:`Series.all`, :meth:`DataFrame.any`, and :meth:`DataFrame.all` had the default value of ``bool_only`` set to ``None`` instead of ``False``; this change should have no impact on users (:issue:`53258`)
 - Bug in :meth:`Series.corr` and :meth:`Series.cov` raising ``AttributeError`` for masked dtypes (:issue:`51422`)
 - Bug in :meth:`Series.median` and :meth:`DataFrame.median` with object-dtype values containing strings that can be converted to numbers (e.g. "2") returning incorrect numeric results; these now raise ``TypeError`` (:issue:`34671`)
--
 
 
 Conversion

pandas/core/frame.py

@@ -10957,7 +10957,7 @@ def any(  # type: ignore[override]
         self,
         *,
         axis: Axis = 0,
-        bool_only=None,
+        bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
     ) -> Series:
@@ -10971,7 +10971,7 @@ def any(  # type: ignore[override]
     def all(
         self,
         axis: Axis = 0,
-        bool_only=None,
+        bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
     ) -> Series:

pandas/core/generic.py

@@ -12035,9 +12035,8 @@ def last_valid_index(self) -> Hashable | None:
       original index.
     * None : reduce all axes, return a scalar.
 
-bool_only : bool, default None
-    Include only boolean columns. If None, will attempt to use everything,
-    then use only boolean data. Not implemented for Series.
+bool_only : bool, default False
+    Include only boolean columns. Not implemented for Series.
 skipna : bool, default True
     Exclude NA/null values. If the entire row/column is NA and skipna is
     True, then the result will be {empty_value}, as for an empty row/column.

pandas/core/series.py

@@ -5943,7 +5943,7 @@ def any(  # type: ignore[override]
         self,
         *,
         axis: Axis = 0,
-        bool_only=None,
+        bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
     ) -> bool:
@@ -5962,7 +5962,7 @@ def any(  # type: ignore[override]
     def all(
         self,
         axis: Axis = 0,
-        bool_only=None,
+        bool_only: bool = False,
         skipna: bool = True,
         **kwargs,
     ) -> bool: