diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index dbb799779c1c4..b61d4b82d14bc 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -71,10 +71,10 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i ES01 `# For now it is ok if docstrings are missing the extended summary` \
         -i "pandas.Series.dt PR01" `# Accessors are implemented as classes, but we do not document the Parameters section` \
         -i "pandas.DataFrame.max RT03" \
-        -i "pandas.DataFrame.mean RT03,SA01" \
-        -i "pandas.DataFrame.median RT03,SA01" \
+        -i "pandas.DataFrame.mean RT03" \
+        -i "pandas.DataFrame.median RT03" \
         -i "pandas.DataFrame.min RT03" \
-        -i "pandas.DataFrame.plot PR02,SA01" \
+        -i "pandas.DataFrame.plot PR02" \
         -i "pandas.DataFrame.std PR01,RT03,SA01" \
         -i "pandas.DataFrame.sum RT03" \
         -i "pandas.DataFrame.swaplevel SA01" \
@@ -206,14 +206,14 @@ 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.mean RT03,SA01" \
+        -i "pandas.Series.mean RT03" \
         -i "pandas.Series.min RT03" \
         -i "pandas.Series.mod PR07" \
         -i "pandas.Series.mode SA01" \
         -i "pandas.Series.mul PR07" \
         -i "pandas.Series.ne PR07,SA01" \
         -i "pandas.Series.pad PR01,SA01" \
-        -i "pandas.Series.plot PR02,SA01" \
+        -i "pandas.Series.plot PR02" \
         -i "pandas.Series.pop RT03,SA01" \
         -i "pandas.Series.pow PR07" \
         -i "pandas.Series.prod RT03" \
@@ -462,7 +462,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
         -i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
-        -i "pandas.core.groupby.DataFrameGroupBy.plot PR02,SA01" \
+        -i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
         -i "pandas.core.groupby.DataFrameGroupBy.prod SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.sum SA01" \
@@ -480,7 +480,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.core.groupby.SeriesGroupBy.min SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
         -i "pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
-        -i "pandas.core.groupby.SeriesGroupBy.plot PR02,SA01" \
+        -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
         -i "pandas.core.groupby.SeriesGroupBy.prod SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.sum SA01" \
diff --git a/pandas/core/generic.py b/pandas/core/generic.py
index 20d8bd3bda21f..711be659145c5 100644
--- a/pandas/core/generic.py
+++ b/pandas/core/generic.py
@@ -12558,7 +12558,11 @@ def make_doc(name: str, ndim: int) -> str:
     elif name == "median":
         base_doc = _num_doc
         desc = "Return the median of the values over the requested axis."
-        see_also = ""
+        see_also = """
+
+            See Also
+            --------
+            DataFrame.mean : Return the mean of the values over the requested axis."""
         examples = """
 
             Examples
@@ -12599,7 +12603,12 @@ def make_doc(name: str, ndim: int) -> str:
     elif name == "mean":
         base_doc = _num_doc
         desc = "Return the mean of the values over the requested axis."
-        see_also = ""
+        see_also = """
+
+            See Also
+            --------
+            DataFrame.median : Return the median of the values over the requested
+                axis."""
         examples = """
 
             Examples
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index ea5daf02b7252..644cc2953aa8d 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -791,6 +791,11 @@ class PlotAccessor(PandasObject):
         If the backend is not the default matplotlib one, the return value
         will be the object returned by the backend.
 
+    See Also
+    --------
+    DataFrame.plot.area : Draw a stacked area plot. An area plot displays quantitative
+        data visually. This function wraps the matplotlib area function.
+
     Notes
     -----
     - See matplotlib documentation online for more on this subject