diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index fa2766bb63d55..2cc0944d29019 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -3031,19 +3031,51 @@ def barh(self, x=None, y=None, **kwds):
 
     def box(self, by=None, **kwds):
         r"""
-        Boxplot
+        Make a box plot of the DataFrame columns.
+
+        A box plot is a method for graphically depicting groups of numerical
+        data through their quartiles.
+        The box extends from the Q1 to Q3 quartile values of the data,
+        with a line at the median (Q2). The whiskers extend from the edges
+        of box to show the range of the data. The position of the whiskers
+        is set by default to 1.5*IQR (IQR = Q3 - Q1) from the edges of the
+        box. Outlier points are those past the end of the whiskers.
+
+        For further details see Wikipedia's
+        entry for `boxplot <https://en.wikipedia.org/wiki/Box_plot>`__.
+
+        A consideration when using this chart is that the box and the whiskers
+        can overlap, which is very common when plotting small sets of data.
 
         Parameters
         ----------
         by : string or sequence
             Column in the DataFrame to group by.
-        `**kwds` : optional
-            Additional keyword arguments are documented in
+        **kwds : optional
+            Additional keywords are documented in
             :meth:`pandas.DataFrame.plot`.
 
         Returns
         -------
         axes : :class:`matplotlib.axes.Axes` or numpy.ndarray of them
+
+        See Also
+        --------
+        pandas.DataFrame.boxplot: Another method to draw a box plot.
+        pandas.Series.plot.box: Draw a box plot from a Series object.
+        matplotlib.pyplot.boxplot: Draw a box plot in matplotlib.
+
+        Examples
+        --------
+        Draw a box plot from a DataFrame with four columns of randomly
+        generated data.
+
+        .. plot::
+            :context: close-figs
+
+            >>> data = np.random.randn(25, 4)
+            >>> df = pd.DataFrame(data, columns=list('ABCD'))
+            >>> ax = df.plot.box()
         """
         return self(kind='box', by=by, **kwds)