diff --git a/pandas/core/base.py b/pandas/core/base.py
index bee9b3f13c593..5cdbde8c64c47 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -703,6 +703,11 @@ def empty(self) -> bool:
         """
         Indicator whether Index is empty.
 
+        An Index is considered empty if it has no elements. This property can be
+        useful for quickly checking the state of an Index, especially in data
+        processing and analysis workflows where handling of empty datasets might
+        be required.
+
         Returns
         -------
         bool
@@ -714,10 +719,10 @@ def empty(self) -> bool:
 
         Examples
         --------
-        >>> idx_empty = pd.Index([1, 2, 3])
-        >>> idx_empty
+        >>> idx = pd.Index([1, 2, 3])
+        >>> idx
         Index([1, 2, 3], dtype='int64')
-        >>> idx_empty.empty
+        >>> idx.empty
         False
 
         >>> idx_empty = pd.Index([])
@@ -728,10 +733,10 @@ def empty(self) -> bool:
 
         If we only have NaNs in our DataFrame, it is not considered empty!
 
-        >>> idx_empty = pd.Index([np.nan, np.nan])
-        >>> idx_empty
+        >>> idx = pd.Index([np.nan, np.nan])
+        >>> idx
         Index([nan, nan], dtype='float64')
-        >>> idx_empty.empty
+        >>> idx.empty
         False
         """
         return not self.size
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index ef0d25d0f55ac..d128139e0f1c1 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -1021,7 +1021,13 @@ def ravel(self, order: str_t = "C") -> Self:
 
     def view(self, cls=None):
         """
-        Return a view on self.
+        Return a view of the Index with the specified dtype or a new Index instance.
+
+        This method returns a view of the calling Index object if no arguments are
+        provided. If a dtype is specified through the `cls` argument, it attempts
+        to return a view of the Index with the specified dtype. Note that viewing
+        the Index as a different dtype reinterprets the underlying data, which can
+        lead to unexpected results for non-numeric or incompatible dtype conversions.
 
         Parameters
         ----------
@@ -1034,27 +1040,38 @@ def view(self, cls=None):
 
         Returns
         -------
-        numpy.ndarray
-            A new view of the same data in memory.
+        Index or ndarray
+            A view of the Index. If `cls` is None, the returned object is an Index
+            view with the same dtype as the calling object. If a numeric `cls` is
+            specified an ndarray view with the new dtype is returned.
+
+        Raises
+        ------
+        ValueError
+            If attempting to change to a dtype in a way that is not compatible with
+            the original dtype's memory layout, for example, viewing an 'int64' Index
+            as 'str'.
 
         See Also
         --------
+        Index.copy : Returns a copy of the Index.
         numpy.ndarray.view : Returns a new view of array with the same data.
 
         Examples
         --------
-        >>> s = pd.Series([1, 2, 3], index=["1", "2", "3"])
-        >>> s.index.view("object")
-        array(['1', '2', '3'], dtype=object)
+        >>> idx = pd.Index([-1, 0, 1])
+        >>> idx.view()
+        Index([-1, 0, 1], dtype='int64')
 
-        >>> s = pd.Series([1, 2, 3], index=[-1, 0, 1])
-        >>> s.index.view(np.int64)
-        array([-1,  0,  1])
-        >>> s.index.view(np.float32)
-        array([   nan,    nan, 0.e+00, 0.e+00, 1.e-45, 0.e+00], dtype=float32)
-        >>> s.index.view(np.uint64)
+        >>> idx.view(np.uint64)
         array([18446744073709551615,                    0,                    1],
           dtype=uint64)
+
+        Viewing as 'int32' or 'float32' reinterprets the memory, which may lead to
+        unexpected behavior:
+
+        >>> idx.view("float32")
+        array([   nan,    nan, 0.e+00, 0.e+00, 1.e-45, 0.e+00], dtype=float32)
         """
         # we need to see if we are subclassing an
         # index type here
@@ -1809,9 +1826,18 @@ def _get_names(self) -> FrozenList:
         """
         Get names on index.
 
+        This method returns a FrozenList containing the names of the object.
+        It's primarily intended for internal use.
+
+        Returns
+        -------
+        FrozenList
+            A FrozenList containing the object's names, contains None if the object
+            does not have a name.
+
         See Also
         --------
-        Index.name : Return Index or MultiIndex name.
+        Index.name : Index name as a string, or None for MultiIndex.
 
         Examples
         --------
@@ -1819,9 +1845,15 @@ def _get_names(self) -> FrozenList:
         >>> idx.names
         FrozenList(['x'])
 
-        >>> idx = s = pd.Index([1, 2, 3], name=("x", "y"))
+        >>> idx = pd.Index([1, 2, 3], name=("x", "y"))
         >>> idx.names
         FrozenList([('x', 'y')])
+
+        If the index does not have a name set:
+
+        >>> idx = pd.Index([1, 2, 3])
+        >>> idx.names
+        FrozenList([None])
         """
         return FrozenList((self.name,))