Address comments in PR #1108.

lib/matplotlib/axes.py

@@ -4432,7 +4432,8 @@ def legend(self, *args, **kwargs):
             instance. If *prop* is a dictionary, a new instance will be
             created with *prop*. If *None*, use rc settings.
 
-          *fontsize*: [ size in points | 'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' | 'xx-large' ]
+          *fontsize*: [ size in points | 'xx-small' | 'x-small' |
+          'small' | 'medium' | 'large' | 'x-large' | 'xx-large' ]
             Set the font size.  May be either a size string, relative to
             the default font size, or an absolute font size in points. This
             argument is only used if prop is not specified.
@@ -8124,7 +8125,7 @@ def hist2d(self, x, y, bins = 10, range=None, normed=False, weights=None,
         Make a 2d histogram plot of *x* versus *y*, where *x*,
         *y* are 1-D sequences of the same length.
 
-        The return value is `(counts, xedges, yedges, Image)`.
+        The return value is ``(counts, xedges, yedges, Image)``.
 
         Optional keyword arguments:
         *bins*: [None | int | [int, int] | array_like | [array, array]]

lib/matplotlib/stackplot.py

@@ -21,8 +21,8 @@ def stackplot(axes, x, *args, **kwargs):
           1xN. The data is assumed to be unstacked. Each of the following
           calls is legal::
 
-          stackplot(x, y)               # where y is MxN
-          staclplot(x, y1, y2, y3, y4)  # where y1, y2, y3, y4, are all 1xNm
+            stackplot(x, y)               # where y is MxN
+            stackplot(x, y1, y2, y3, y4)  # where y1, y2, y3, y4, are all 1xNm
 
     Keyword arguments: