diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index 0c4e6641444f1..3521c44eda312 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -99,7 +99,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.DataFrame.kurt RT03,SA01" \
         -i "pandas.DataFrame.kurtosis RT03,SA01" \
         -i "pandas.DataFrame.last_valid_index SA01" \
-        -i "pandas.DataFrame.mask RT03" \
         -i "pandas.DataFrame.max RT03" \
         -i "pandas.DataFrame.mean RT03,SA01" \
         -i "pandas.DataFrame.median RT03,SA01" \
@@ -131,7 +130,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.DataFrame.unstack RT03" \
         -i "pandas.DataFrame.value_counts RT03" \
         -i "pandas.DataFrame.var PR01,RT03,SA01" \
-        -i "pandas.DataFrame.where RT03" \
         -i "pandas.DatetimeIndex.ceil SA01" \
         -i "pandas.DatetimeIndex.date SA01" \
         -i "pandas.DatetimeIndex.day SA01" \
@@ -400,7 +398,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.list.flatten SA01" \
         -i "pandas.Series.list.len SA01" \
         -i "pandas.Series.lt PR07,SA01" \
-        -i "pandas.Series.mask RT03" \
         -i "pandas.Series.max RT03" \
         -i "pandas.Series.mean RT03,SA01" \
         -i "pandas.Series.median RT03,SA01" \
@@ -487,7 +484,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.update PR07,SA01" \
         -i "pandas.Series.value_counts RT03" \
         -i "pandas.Series.var PR01,RT03,SA01" \
-        -i "pandas.Series.where RT03" \
         -i "pandas.SparseDtype SA01" \
         -i "pandas.Timedelta PR07,SA01" \
         -i "pandas.Timedelta.as_unit SA01" \
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 858d2ba82a969..862c6756ebb28 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -9807,8 +9807,10 @@ def where(
 
         Returns
         -------
-        Series or DataFrame unless ``inplace=True`` in which case
-        returns None.
+        Series or DataFrame or None
+            When applied to a Series, the function will return a Series,
+            and when applied to a DataFrame, it will return a DataFrame;
+            if ``inplace=True``, it will return None.
 
         See Also
         --------