diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index b3ca4e213aea9..45df480779ee7 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -86,8 +86,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
     MSG='Partially validate docstrings (EX01)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01 --ignore_functions \
         pandas.Series.index \
-        pandas.Series.hasnans \
-        pandas.Series.to_list \
         pandas.Series.__iter__ \
         pandas.Series.keys \
         pandas.Series.item \
@@ -309,7 +307,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas_object \
         pandas.api.interchange.from_dataframe \
         pandas.Index.values \
-        pandas.Index.hasnans \
         pandas.Index.dtype \
         pandas.Index.inferred_type \
         pandas.Index.shape \
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 96209ba97c0aa..d085807981fa8 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -801,6 +801,12 @@ def tolist(self):
         --------
         numpy.ndarray.tolist : Return the array as an a.ndim-levels deep
             nested list of Python scalars.
+
+        Examples
+        --------
+        >>> s = pd.Series([1, 2, 3])
+        >>> s.to_list()
+        [1, 2, 3]
         """
         return self._values.tolist()
 
@@ -835,6 +841,18 @@ def hasnans(self) -> bool:
         Returns
         -------
         bool
+
+        Examples
+        --------
+        >>> s = pd.Series([1, 2, 3, None])
+        >>> s
+        0    1.0
+        1    2.0
+        2    3.0
+        3    NaN
+        dtype: float64
+        >>> s.hasnans
+        True
         """
         # error: Item "bool" of "Union[bool, ndarray[Any, dtype[bool_]], NDFrame]"
         # has no attribute "any"
diff --git a/pandas/core/indexes/base.py b/pandas/core/indexes/base.py
index 273b42d725a91..c93eb0fe3def6 100644
--- a/pandas/core/indexes/base.py
+++ b/pandas/core/indexes/base.py
@@ -2714,6 +2714,17 @@ def hasnans(self) -> bool:
         Returns
         -------
         bool
+
+        Examples
+        --------
+        >>> s = pd.Series([1, 2, 3], index=['a', 'b', None])
+        >>> s
+        a    1
+        b    2
+        None 3
+        dtype: int64
+        >>> s.index.hasnans
+        True
         """
         if self._can_hold_na:
             return bool(self._isnan.any())
diff --git a/pandas/tests/series/test_missing.py b/pandas/tests/series/test_missing.py
index 017721b8a4ee0..c7d80a705b2e4 100644
--- a/pandas/tests/series/test_missing.py
+++ b/pandas/tests/series/test_missing.py
@@ -99,4 +99,3 @@ def test_hasnans_uncached_for_series():
     assert not hasattr(ser, "_cache")
     ser.iloc[-1] = np.nan
     assert ser.hasnans is True
-    assert Series.hasnans.__doc__ == Index.hasnans.__doc__