diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index 32cd89383dde9..ad2b664b4c99b 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -547,17 +547,25 @@ def boxplot_frame_groupby(
 
     Examples
     --------
-    >>> import itertools
-    >>> tuples = [t for t in itertools.product(range(1000), range(4))]
-    >>> index = pd.MultiIndex.from_tuples(tuples, names=['lvl0', 'lvl1'])
-    >>> data = np.random.randn(len(index),4)
-    >>> df = pd.DataFrame(data, columns=list('ABCD'), index=index)
-    >>>
-    >>> grouped = df.groupby(level='lvl1')
-    >>> boxplot_frame_groupby(grouped)
-    >>>
-    >>> grouped = df.unstack(level='lvl1').groupby(level=0, axis=1)
-    >>> boxplot_frame_groupby(grouped, subplots=False)
+    You can create boxplots for grouped data and show them as separate subplots:
+
+    .. plot::
+        :context: close-figs
+
+        >>> import itertools
+        >>> tuples = [t for t in itertools.product(range(1000), range(4))]
+        >>> index = pd.MultiIndex.from_tuples(tuples, names=['lvl0', 'lvl1'])
+        >>> data = np.random.randn(len(index),4)
+        >>> df = pd.DataFrame(data, columns=list('ABCD'), index=index)
+        >>> grouped = df.groupby(level='lvl1')
+        >>> grouped.boxplot(rot=45, fontsize=12, figsize=(8,10))
+
+    The ``subplots=False`` option shows the boxplots in a single figure.
+
+    .. plot::
+        :context: close-figs
+
+        >>> grouped.boxplot(subplots=False, rot=45, fontsize=12)
     """
     plot_backend = _get_plot_backend(backend)
     return plot_backend.boxplot_frame_groupby(