diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index c4e43b88a0097..337cd0a498bc9 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -79,8 +79,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.Series.dt.round\
         pandas.Series.dt.floor\
         pandas.Series.dt.ceil\
-        pandas.Series.dt.month_name\
-        pandas.Series.dt.day_name\
         pandas.Series.cat.rename_categories\
         pandas.Series.cat.reorder_categories\
         pandas.Series.cat.add_categories\
diff --git a/pandas/core/arrays/datetimes.py b/pandas/core/arrays/datetimes.py
index 931f19a7901bd..24cdd0247d2c8 100644
--- a/pandas/core/arrays/datetimes.py
+++ b/pandas/core/arrays/datetimes.py
@@ -1278,6 +1278,8 @@ def month_name(self, locale=None) -> npt.NDArray[np.object_]:
         """
         Return the month names with specified locale.
 
+        This function returns names of months corresponding to the datetime values.
+
         Parameters
         ----------
         locale : str, optional
@@ -1291,6 +1293,10 @@ def month_name(self, locale=None) -> npt.NDArray[np.object_]:
         Series or Index
             Series or Index of month names.
 
+        See Also
+        --------
+        Series.dt.day_name: Return the day names of a datetime Series.
+
         Examples
         --------
         >>> s = pd.Series(pd.date_range(start="2018-01", freq="ME", periods=3))
@@ -1335,6 +1341,8 @@ def day_name(self, locale=None) -> npt.NDArray[np.object_]:
         """
         Return the day names with specified locale.
 
+        This function returns names of days corresponding to the datetime values.
+
         Parameters
         ----------
         locale : str, optional
@@ -1348,6 +1356,10 @@ def day_name(self, locale=None) -> npt.NDArray[np.object_]:
         Series or Index
             Series or Index of day names.
 
+        See Also
+        --------
+        Series.dt.month_name: Return the month names of a datetime Series.
+
         Examples
         --------
         >>> s = pd.Series(pd.date_range(start="2018-01-01", freq="D", periods=3))