diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index efe2a3b36619d..cec29f8df29d5 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -174,13 +174,10 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -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" \
         -i "pandas.Index.putmask PR01,RT03" \
         -i "pandas.Index.ravel PR01,RT03" \
         -i "pandas.Index.reindex PR07" \
-        -i "pandas.Index.shape SA01" \
-        -i "pandas.Index.size SA01" \
         -i "pandas.Index.slice_indexer PR07,RT03,SA01" \
         -i "pandas.Index.slice_locs RT03" \
         -i "pandas.Index.str PR01,SA01" \
@@ -357,7 +354,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.mode SA01" \
         -i "pandas.Series.mul PR07" \
         -i "pandas.Series.nbytes SA01" \
-        -i "pandas.Series.ndim SA01" \
         -i "pandas.Series.ne PR07,SA01" \
         -i "pandas.Series.nunique RT03" \
         -i "pandas.Series.pad PR01,SA01" \
@@ -377,7 +373,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.rtruediv PR07" \
         -i "pandas.Series.sem PR01,RT03,SA01" \
         -i "pandas.Series.shape SA01" \
-        -i "pandas.Series.size SA01" \
         -i "pandas.Series.skew RT03,SA01" \
         -i "pandas.Series.sparse PR01,SA01" \
         -i "pandas.Series.sparse.density SA01" \
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 95b203590b393..9b1251a4ef5d8 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -355,6 +355,13 @@ def ndim(self) -> Literal[1]:
         """
         Number of dimensions of the underlying data, by definition 1.
 
+        See Also
+        --------
+        Series.size: Return the number of elements in the underlying data.
+        Series.shape: Return a tuple of the shape of the underlying data.
+        Series.dtype: Return the dtype object of the underlying data.
+        Series.values: Return Series as ndarray or ndarray-like depending on the dtype.
+
         Examples
         --------
         >>> s = pd.Series(["Ant", "Bear", "Cow"])
@@ -440,6 +447,13 @@ def size(self) -> int:
         """
         Return the number of elements in the underlying data.
 
+        See Also
+        --------
+        Series.ndim: Number of dimensions of the underlying data, by definition 1.
+        Series.shape: Return a tuple of the shape of the underlying data.
+        Series.dtype: Return the dtype object of the underlying data.
+        Series.values: Return Series as ndarray or ndarray-like depending on the dtype.
+
         Examples
         --------
         For Series:
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 685291e690196..8ede401f37184 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -7104,6 +7104,13 @@ def shape(self) -> Shape:
         """
         Return a tuple of the shape of the underlying data.
 
+        See Also
+        --------
+        Index.size: Return the number of elements in the underlying data.
+        Index.ndim: Number of dimensions of the underlying data, by definition 1.
+        Index.dtype: Return the dtype object of the underlying data.
+        Index.values: Return an array representing the data in the Index.
+
         Examples
         --------
         >>> idx = pd.Index([1, 2, 3])