diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index fbd71af9b60de..211af5999c975 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -83,15 +83,11 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.DataFrame.__iter__ SA01" \
         -i "pandas.DataFrame.at_time PR01" \
         -i "pandas.DataFrame.columns SA01" \
-        -i "pandas.DataFrame.copy SA01" \
         -i "pandas.DataFrame.droplevel SA01" \
-        -i "pandas.DataFrame.first_valid_index SA01" \
         -i "pandas.DataFrame.hist RT03" \
         -i "pandas.DataFrame.infer_objects RT03" \
-        -i "pandas.DataFrame.keys SA01" \
         -i "pandas.DataFrame.kurt RT03,SA01" \
         -i "pandas.DataFrame.kurtosis RT03,SA01" \
-        -i "pandas.DataFrame.last_valid_index SA01" \
         -i "pandas.DataFrame.max RT03" \
         -i "pandas.DataFrame.mean RT03,SA01" \
         -i "pandas.DataFrame.median RT03,SA01" \
@@ -310,7 +306,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.cat.rename_categories PR01,PR02" \
         -i "pandas.Series.cat.reorder_categories PR01,PR02" \
         -i "pandas.Series.cat.set_categories PR01,PR02" \
-        -i "pandas.Series.copy SA01" \
         -i "pandas.Series.div PR07" \
         -i "pandas.Series.droplevel SA01" \
         -i "pandas.Series.dt.as_unit PR01,PR02" \
@@ -354,7 +349,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.dtype SA01" \
         -i "pandas.Series.empty GL08" \
         -i "pandas.Series.eq PR07,SA01" \
-        -i "pandas.Series.first_valid_index SA01" \
         -i "pandas.Series.floordiv PR07" \
         -i "pandas.Series.ge PR07,SA01" \
         -i "pandas.Series.gt PR07,SA01" \
@@ -364,10 +358,8 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.is_monotonic_increasing SA01" \
         -i "pandas.Series.is_unique SA01" \
         -i "pandas.Series.item SA01" \
-        -i "pandas.Series.keys SA01" \
         -i "pandas.Series.kurt RT03,SA01" \
         -i "pandas.Series.kurtosis RT03,SA01" \
-        -i "pandas.Series.last_valid_index SA01" \
         -i "pandas.Series.le PR07,SA01" \
         -i "pandas.Series.list.__getitem__ SA01" \
         -i "pandas.Series.list.flatten SA01" \
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 028492f5617bd..6632fba43dc8a 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -1884,6 +1884,11 @@ def keys(self) -> Index:
         Index
             Info axis.
 
+        See Also
+        --------
+        DataFrame.index : The index (row labels) of the DataFrame.
+        DataFrame.columns: The column labels of the DataFrame.
+
         Examples
         --------
         >>> d = pd.DataFrame(
@@ -6392,6 +6397,11 @@ def copy(self, deep: bool = True) -> Self:
         Series or DataFrame
             Object type matches caller.
 
+        See Also
+        --------
+        copy.copy : Return a shallow copy of an object.
+        copy.deepcopy : Return a deep copy of an object.
+
         Notes
         -----
         When ``deep=True``, data is copied but actual Python objects
@@ -11616,6 +11626,14 @@ def first_valid_index(self) -> Hashable:
         type of index
             Index of {position} non-missing value.
 
+        See Also
+        --------
+        DataFrame.last_valid_index : Return index for last non-NA value or None, if
+            no non-NA value is found.
+        Series.last_valid_index : Return index for last non-NA value or None, if no
+            non-NA value is found.
+        DataFrame.isna : Detect missing values.
+
         Examples
         --------
         For Series:
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 8b36bd0f381c5..a72eb8e261e65 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -1746,6 +1746,10 @@ def keys(self) -> Index:
         Index
             Index of the Series.
 
+        See Also
+        --------
+        Series.index : The index (axis labels) of the Series.
+
         Examples
         --------
         >>> s = pd.Series([1, 2, 3], index=[0, 1, 2])