Merged revisions 8722-8725 via svnmerge from

efiring · efiring · commit 6baa03e02593 · 2010-10-03T21:24:46.000Z
https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/branches/v1_0_maint ........ r8722 | efiring | 2010-09-27 08:51:05 -1000 (Mon, 27 Sep 2010) | 2 lines Clarify docstrings for autoscale_view and relim. ........ r8723 | efiring | 2010-10-03 10:45:38 -1000 (Sun, 03 Oct 2010) | 2 lines docs: in event_handling, note that weak references to callbacks are used. ........ r8724 | efiring | 2010-10-03 11:04:10 -1000 (Sun, 03 Oct 2010) | 2 lines errorbar bugfix: plot everything regardless of the Axes hold state ........ r8725 | efiring | 2010-10-03 11:17:39 -1000 (Sun, 03 Oct 2010) | 2 lines bugfix: applied patch by Stan West to fix error in colormap reversal ........ svn path=/trunk/matplotlib/; revision=8726
diff --git a/doc/pyplots/tex_demo.png b/doc/pyplots/tex_demo.png
diff --git a/doc/users/event_handling.rst b/doc/users/event_handling.rst
@@ -46,6 +46,13 @@ disconnect the callback, just call::
 
     fig.canvas.mpl_disconnect(cid)
 
+.. note::
+   The canvas retains only weak references to the callbacks.  Therefore
+   if a callback is a method of a class instance, you need to retain
+   a reference to that instance.  Otherwise the instance will be
+   garbage-collected and the callback will vanish.
+
+
 Here are the events that you can connect to, the class instances that
 are sent back to you when the event occurs, and the event descriptions
 
diff --git a/lib/matplotlib/_cm.py b/lib/matplotlib/_cm.py
@@ -1554,7 +1554,7 @@ def gfunc32(x):
             (0.000, 0.000, 0.000), (0.0547, 1.000, 1.000),
             (0.250, 0.027, 0.250), #(0.2500, 0.250, 0.250),
             (1.000, 1.000, 1.000)),
-        'green': ((0, 0, 0), (1, 1, 0)),
+        'green': ((0, 0, 0), (1, 1, 1)),
         'blue': (
             (0.000, 0.000, 0.000), (0.500, 1.000, 1.000),
             (0.735, 0.000, 0.000), (1.000, 1.000, 1.000))
diff --git a/lib/matplotlib/axes.py b/lib/matplotlib/axes.py
@@ -1495,7 +1495,12 @@ def add_table(self, tab):
         return tab
 
     def relim(self):
-        'recompute the data limits based on current artists'
+        """
+        Recompute the data limits based on current artists.
+
+        At present, :class:`~matplotlib.collections.Collection`
+        instances are not supported.
+        """
         # Collections are deliberately not supported (yet); see
         # the TODO note in artists.py.
         self.dataLim.ignore(True)
@@ -1768,10 +1773,16 @@ def autoscale(self, enable=True, axis='both', tight=None):
 
     def autoscale_view(self, tight=None, scalex=True, scaley=True):
         """
-        autoscale the view limits using the data limits. You can
+        Autoscale the view limits using the data limits. You can
         selectively autoscale only a single axis, eg, the xaxis by
         setting *scaley* to *False*.  The autoscaling preserves any
         axis direction reversal that has already been done.
+
+        The data limits are not updated automatically when artist
+        data are changed after the artist has been added to an
+        Axes instance.  In that case, use
+        :meth:`matplotlib.axes.Axes.relim`
+        prior to calling autoscale_view.
         """
         if tight is not None:
             self._tight = bool(tight)
@@ -5060,7 +5071,7 @@ def errorbar(self, x, y, yerr=None, xerr=None,
             type as *xerr* and *yerr*.
 
         All other keyword arguments are passed on to the plot command for the
-        markers, For example, this code makes big red squares with
+        markers. For example, this code makes big red squares with
         thick green edges::
 
           x,y,yerr = rand(3,10)
@@ -5094,6 +5105,8 @@ def errorbar(self, x, y, yerr=None, xerr=None,
 
         self._process_unit_info(xdata=x, ydata=y, kwargs=kwargs)
         if not self._hold: self.cla()
+        holdstate = self._hold
+        self._hold = True
 
         # make sure all the args are iterable; use lists not arrays to
         # preserve units
@@ -5266,6 +5279,7 @@ def xywhere(xs, ys, mask):
             l.set_color(ecolor)
 
         self.autoscale_view()
+        self._hold = holdstate
         return (l0, caplines, barcols)
 
     def boxplot(self, x, notch=0, sym='b+', vert=1, whis=1.5,
diff --git a/lib/matplotlib/cm.py b/lib/matplotlib/cm.py
@@ -34,7 +34,8 @@ def revcmap(data):
                 # each time, so the colors are identical
                 # and the result is shades of gray.
         else:
-            valnew = [(1.0 - a, b, c) for a, b, c in reversed(val)]
+            # Flip x and exchange the y values facing x = 0 and x = 1.
+            valnew = [(1.0 - x, y1, y0) for x, y0, y1 in reversed(val)]
         data_r[key] = valnew
     return data_r
 
