DOC: Docstring pandas index all any

pandas/core/indexes/base.py

@@ -4290,20 +4290,67 @@ def _add_logical_methods(cls):
         """ add in logical methods """
 
         _doc = """
-
         %(desc)s
 
         Parameters
         ----------
-        All arguments to numpy.%(outname)s are accepted.
+        *args
+            These parameters will be passed to numpy.%(outname)s.
+        **kwargs
+            These parameters will be passed to numpy.%(outname)s.
 
         Returns
         -------
         %(outname)s : bool or array_like (if axis is specified)
             A single element array_like may be converted to bool."""
 
+        _index_shared_docs['index_all'] = """
+
+        See Also
+        --------
+        pandas.Index.any : Return whether any element is True.
+
+        Notes
+        -----
+        Not a Number (NaN), positive infinity and negative infinity
+        evaluate to True because these are not equal to zero.
+
+        Examples
+        --------
+        >>> index = pd.Index([1, 2, 3])
+        >>> index.all()
+        True
+
+        >>> index = pd.Index([0, 1, 2])
+        >>> index.all()
+        False
+        """
+
+        _index_shared_docs['index_any'] = """
+
+        See Also
+        --------
+        pandas.Index.all : Return whether all elements are True.
+
+        Notes
+        -----
+        Not a Number (NaN), positive infinity and negative infinity
+        evaluate to True because these are not equal to zero.
+
+        Examples
+        --------
+        >>> index = pd.Index([0, 1, 2])
+        >>> index.any()
+        True
+
+        >>> index = pd.Index([0, 0, 0])
+        >>> index.any()
+        False
+        """
+
         def _make_logical_function(name, desc, f):
             @Substitution(outname=name, desc=desc)
+            @Appender(_index_shared_docs['index_' + name])
             @Appender(_doc)
             def logical_func(self, *args, **kwargs):
                 result = f(self.values)
@@ -4318,10 +4365,10 @@ def logical_func(self, *args, **kwargs):
             return logical_func
 
         cls.all = _make_logical_function('all', 'Return whether all elements '
-                                                'are True',
+                                                'are True.',
                                          np.all)
         cls.any = _make_logical_function('any',
-                                         'Return whether any element is True',
+                                         'Return whether any element is True.',
                                          np.any)
 
     @classmethod