diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index a9967dcb8efe6..5e5391ae8111c 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -191,7 +191,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.dropna RT03,SA01" \
         -i "pandas.Index.dtype SA01" \
         -i "pandas.Index.duplicated RT03" \
-        -i "pandas.Index.empty GL08" \
         -i "pandas.Index.equals SA01" \
         -i "pandas.Index.fillna RT03" \
         -i "pandas.Index.get_indexer PR07,SA01" \
@@ -209,7 +208,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.map SA01" \
         -i "pandas.Index.memory_usage RT03" \
         -i "pandas.Index.name SA01" \
-        -i "pandas.Index.names GL08" \
         -i "pandas.Index.nbytes SA01" \
         -i "pandas.Index.ndim SA01" \
         -i "pandas.Index.nunique RT03" \
@@ -227,7 +225,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.union PR07,RT03,SA01" \
         -i "pandas.Index.unique RT03" \
         -i "pandas.Index.value_counts RT03" \
-        -i "pandas.Index.view GL08" \
         -i "pandas.Int16Dtype SA01" \
         -i "pandas.Int32Dtype SA01" \
         -i "pandas.Int64Dtype SA01" \
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 33b37319675ae..a889416f8ec86 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -675,6 +675,33 @@ def to_numpy(
     @final
     @property
     def empty(self) -> bool:
+        """
+        Check if the 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
+            ``True`` if the Index is empty, ``False`` otherwise.
+
+        See Also
+        --------
+        Index.size : Return the number of elements in the Index.
+
+        Examples
+        --------
+        >>> index = pd.Index([])
+        >>> index.empty
+        True
+
+        >>> non_empty_index = pd.Index([1, 2, 3])
+        >>> non_empty_index.empty
+        False
+        """
         return not self.size
 
     @doc(op="max", oppose="min", value="largest")
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index c2df773326dc9..bbb2f1dc79506 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -1011,6 +1011,53 @@ def ravel(self, order: str_t = "C") -> Self:
         return self[:]
 
     def view(self, cls=None):
+        """
+        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
+        ----------
+        cls : dtype, optional
+            The dtype for the returned view of the Index. If ``None`` (default), a view
+            of the calling Index is returned without altering the dtype. If a numeric
+            dtype is specified, the method attempts to reinterpret the Index data as
+            the specified dtype.
+
+        Returns
+        -------
+        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.
+
+        Examples
+        --------
+        >>> idx = pd.Index([1, 2, 3])
+        >>> idx.view()
+        Index([1, 2, 3], dtype='int64')
+
+        Viewing as 'int32' reinterprets the memory, which may lead to unexpected
+        behavior:
+
+        >>> idx.view("int32")
+        array([1, 0, 2, 0, 3, 0], dtype=int32)
+        """
         # we need to see if we are subclassing an
         # index type here
         if cls is not None and not hasattr(cls, "_typ"):
@@ -1735,6 +1782,37 @@ def _get_default_index_names(
         return names
 
     def _get_names(self) -> tuple[Hashable | None, ...]:
+        """
+        Retrieve the names associated with the object.
+
+        This method returns a tuple containing the name of the object.
+        It's primarily intended for internal use.
+
+        Returns
+        -------
+        tuple[Hashable | None, ...]
+            A tuple containing the object's name, or None if the object does not have a
+            name.
+
+        See Also
+        --------
+        Index.name : Index name as a string instead of a tuple, or None for MultiIndex.
+        Series.name : Series name.
+
+        Examples
+        --------
+        Create an index with a name and retrieve its names:
+
+        >>> index = pd.Index([1, 2, 3], name="example_name")
+        >>> index.names
+        ('example_name',)
+
+        If the index does not have a name set:
+
+        >>> index = pd.Index([1, 2, 3])
+        >>> index.names
+        (None,)
+        """
         return (self.name,)
 
     def _set_names(self, values, *, level=None) -> None: