diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index e2d125ad1fc68..d5371a96c66ce 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -113,7 +113,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.DatetimeTZDtype.tz SA01" \
         -i "pandas.Grouper PR02" \
         -i "pandas.Index PR07" \
-        -i "pandas.Index.T SA01" \
         -i "pandas.Index.append PR07,RT03,SA01" \
         -i "pandas.Index.copy PR07,SA01" \
         -i "pandas.Index.difference PR07,RT03,SA01" \
@@ -122,7 +121,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Index.droplevel RT03,SA01" \
         -i "pandas.Index.dropna RT03,SA01" \
         -i "pandas.Index.duplicated RT03" \
-        -i "pandas.Index.empty GL08" \
         -i "pandas.Index.get_indexer PR07,SA01" \
         -i "pandas.Index.get_indexer_for PR01,SA01" \
         -i "pandas.Index.get_indexer_non_unique PR07,SA01" \
@@ -234,7 +232,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.RangeIndex.step SA01" \
         -i "pandas.RangeIndex.stop SA01" \
         -i "pandas.Series SA01" \
-        -i "pandas.Series.T SA01" \
         -i "pandas.Series.__iter__ RT03,SA01" \
         -i "pandas.Series.add PR07" \
         -i "pandas.Series.at_time PR01" \
@@ -275,7 +272,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.dt.tz_localize PR01,PR02" \
         -i "pandas.Series.dt.unit GL08" \
         -i "pandas.Series.dtype SA01" \
-        -i "pandas.Series.empty GL08" \
         -i "pandas.Series.eq PR07,SA01" \
         -i "pandas.Series.floordiv PR07" \
         -i "pandas.Series.ge PR07,SA01" \
diff --git a/pandas/core/base.py b/pandas/core/base.py
index ab27248308d74..72d8c1b837398 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -309,6 +309,10 @@ def transpose(self, *args, **kwargs) -> Self:
         doc="""
         Return the transpose, which is by definition self.
 
+        See Also
+        --------
+        Index : Immutable sequence used for indexing and alignment.
+
         Examples
         --------
         For Series:
@@ -691,6 +695,40 @@ def to_numpy(
     @final
     @property
     def empty(self) -> bool:
+        """
+        Indicator whether Index is empty.
+
+        Returns
+        -------
+        bool
+            If Index is empty, return True, if not return False.
+
+        See Also
+        --------
+        Index.size : Return the number of elements in the underlying data.
+
+        Examples
+        --------
+        >>> idx_empty = pd.Index([1, 2, 3])
+        >>> idx_empty
+        Index([1, 2, 3], dtype='int64')
+        >>> idx_empty.empty
+        False
+
+        >>> idx_empty = pd.Index([])
+        >>> idx_empty
+        Index([], dtype='object')
+        >>> idx_empty.empty
+        True
+
+        If we only have NaNs in our DataFrame, it is not considered empty!
+
+        >>> idx_empty = pd.Index([np.nan, np.nan])
+        >>> idx_empty
+        Index([nan, nan], dtype='float64')
+        >>> idx_empty.empty
+        False
+        """
         return not self.size
 
     @doc(op="max", oppose="min", value="largest")