move bool to end of class def

Author: MarcoGorelli

pandas/core/generic.py

@@ -1479,53 +1479,6 @@ def __nonzero__(self):
 
     __bool__ = __nonzero__
 
-    # Place this at the end of the file definition so it doesn't conflict
-    # with builtins.bool in type annotations.
-    @final
-    def bool(self):
-        """
-        Return the bool of a single element Series or DataFrame.
-
-        This must be a boolean scalar value, either True or False. It will raise a
-        ValueError if the Series or DataFrame does not have exactly 1 element, or that
-        element is not boolean (integer values 0 and 1 will also raise an exception).
-
-        Returns
-        -------
-        bool
-            The value in the Series or DataFrame.
-
-        See Also
-        --------
-        Series.astype : Change the data type of a Series, including to boolean.
-        DataFrame.astype : Change the data type of a DataFrame, including to boolean.
-        numpy.bool_ : NumPy boolean data type, used by pandas for boolean values.
-
-        Examples
-        --------
-        The method will only work for single element objects with a boolean value:
-
-        >>> pd.Series([True]).bool()
-        True
-        >>> pd.Series([False]).bool()
-        False
-
-        >>> pd.DataFrame({'col': [True]}).bool()
-        True
-        >>> pd.DataFrame({'col': [False]}).bool()
-        False
-        """
-        v = self.squeeze()
-        if isinstance(v, (bool, np.bool_)):
-            return bool(v)
-        elif is_scalar(v):
-            raise ValueError(
-                "bool cannot act on a non-boolean single element "
-                f"{type(self).__name__}"
-            )
-
-        self.__nonzero__()
-
     @final
     def __abs__(self: FrameOrSeries) -> FrameOrSeries:
         return self.abs()
@@ -11104,6 +11057,53 @@ def first_valid_index(self):
     def last_valid_index(self):
         return self._find_valid_index("last")
 
+    # Place this at the end of the class definition so it doesn't conflict
+    # with builtins.bool in type annotations.
+    @final
+    def bool(self):
+        """
+        Return the bool of a single element Series or DataFrame.
+
+        This must be a boolean scalar value, either True or False. It will raise a
+        ValueError if the Series or DataFrame does not have exactly 1 element, or that
+        element is not boolean (integer values 0 and 1 will also raise an exception).
+
+        Returns
+        -------
+        bool
+            The value in the Series or DataFrame.
+
+        See Also
+        --------
+        Series.astype : Change the data type of a Series, including to boolean.
+        DataFrame.astype : Change the data type of a DataFrame, including to boolean.
+        numpy.bool_ : NumPy boolean data type, used by pandas for boolean values.
+
+        Examples
+        --------
+        The method will only work for single element objects with a boolean value:
+
+        >>> pd.Series([True]).bool()
+        True
+        >>> pd.Series([False]).bool()
+        False
+
+        >>> pd.DataFrame({'col': [True]}).bool()
+        True
+        >>> pd.DataFrame({'col': [False]}).bool()
+        False
+        """
+        v = self.squeeze()
+        if isinstance(v, (bool, np.bool_)):
+            return bool(v)
+        elif is_scalar(v):
+            raise ValueError(
+                "bool cannot act on a non-boolean single element "
+                f"{type(self).__name__}"
+            )
+
+        self.__nonzero__()
+
 
 def _doc_params(cls):
     """Return a tuple of the doc params."""