matplotlib
diff --git a/‎doc/devel/MEP/MEP28.rst‎
Lines changed: 32 additions & 32 deletions b/‎doc/devel/MEP/MEP28.rst‎
Lines changed: 32 additions & 32 deletions
@@ -264,38 +264,38 @@ value of ``statfxn`` would be ``cbook.boxplot_stats``, but users could
 pass their own function. Then ``transform_in`` and ``transform_out`` would
 then be passed as elements of the ``statfxn_args`` parameter.
 
-.. code:: python
-
-   def boxplot_stats(data, *args, transform_in=None, transform_out=None):
-      if transform_in is None:
-         transform_in = lambda x: x
-
-      if transform_out is None:
-         transform_out = lambda x: x
-
-      output = []
-      for _d in data:
-         d = transform_in(_d)
-         stat_dict = do_stats(d)
-         for key, value in stat_dict.item():
-            if key != 'label':
-                  stat_dict[key] = transform_out(value)
-         output.append(d)
-      return output
-
-
-   class Axes(Artist):
-      def boxplot_option1(data, *args, transform_in=None, transform_out=None):
-         stats = cbook.boxplot_stats(data, *args,
-                                       transform_in=transform_in,
-                                       transform_out=transform_out)
-         return self.bxp(stats, *args)
-
-      def boxplot_option2(data, *args, statfxn=None, **statopts):
-         if statfxn is None:
-               statfxn = boxplot_stats
-         stats = statfxn(data, **statopts)
-         return self.bxp(stats, *args)
+.. code:: none
+
+   def boxplot_stats(data, ..., transform_in=None, transform_out=None):
+       if transform_in is None:
+           transform_in = lambda x: x
+
+       if transform_out is None:
+           transform_out = lambda x: x
+
+       output = []
+       for _d in data:
+           d = transform_in(_d)
+           stat_dict = do_stats(d)
+           for key, value in stat_dict.item():
+               if key != 'label':
+                   stat_dict[key] = transform_out(value)
+           output.append(d)
+       return output
+
+
+    class Axes(...):
+        def boxplot_option1(data, ..., transform_in=None, transform_out=None):
+            stats = cbook.boxplot_stats(data, ...,
+                                        transform_in=transform_in,
+                                        transform_out=transform_out)
+            return self.bxp(stats, ...)
+
+        def boxplot_option2(data, ..., statfxn=None, **statopts):
+            if statfxn is None:
+                statfxn = boxplot_stats
+            stats = statfxn(data, **statopts)
+            return self.bxp(stats, ...)
 
 Both cases would allow users to do the following: