matplotlib
diff --git a/‎examples/embedding_in_wx2.py‎
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diff --git a/‎examples/figimage_demo.py‎
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diff --git a/‎examples/image_origin.py‎
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diff --git a/‎examples/scatter_profile.py‎
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+#!/usr/bin/env python
+"""
+An example of how to use wx or wxagg in an application w/o the toolbar
+"""
+
+from matplotlib.numerix import arange, sin, pi
+
+import matplotlib
+
+# uncomment the following to use wx rather than wxagg
+#matplotlib.use('WX')
+#from matplotlib.backends.backend_wx import FigureCanvasWx as FigureCanvas
+
+# comment out the following to use wx rather than wxagg
+matplotlib.use('WXAgg')
+from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigureCanvas
+
+from matplotlib.figure import Figure
+
+from wxPython.wx import *
+
+class CanvasFrame(wxFrame):
+    
+    def __init__(self):
+        wxFrame.__init__(self,None,-1,
+                         'CanvasFrame',size=(550,350))
+
+        self.SetBackgroundColour(wxNamedColor("WHITE"))
+
+        self.figure = Figure(figsize=(5,4), dpi=100)
+        self.axes = self.figure.add_subplot(111)
+        t = arange(0.0,3.0,0.01)
+        s = sin(2*pi*t)
+        
+        self.axes.plot(t,s)
+
+        self.canvas = FigureCanvas(self, -1, self.figure)
+
+        self.sizer = wxBoxSizer(wxVERTICAL)
+        self.sizer.Add(self.canvas, 1, wxTOP | wxLEFT | wxEXPAND)
+        # Capture the paint message        
+        EVT_PAINT(self, self.OnPaint)        
+
+    def OnPaint(self, event):
+        self.canvas.draw()
+        
+class App(wxApp):
+    
+    def OnInit(self):
+        'Create the main window and insert the custom frame'
+        frame = CanvasFrame()
+        frame.Show(true)
+
+        return true
+
+app = App(0)
+app.MainLoop()
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+#!/usr/bin/env python
+"""
+See pcolor_demo2 for a much faster way of generating pcolor plots
+"""
+from __future__ import division
+from matplotlib.matlab import *
+rc('axes', hold=True)
+rc('image', origin='lower')
+figure(1, frameon=False)
+Z = arange(10000.0); Z.shape = 100,100
+Z[:,20:] = 1
+jet() # sets the default
+im1 = figimage(Z, xo=50,  yo=50)  # you can also pass cmap=cm.jet as kwarg
+im2 = figimage(Z, xo=100, yo=100, alpha=.8)
+gray()  # overrides current and sets default
+#savefig('figimage_demo')
+
+show()
+
+    
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+"""
+You can specify whether images should be plotted with the array origin
+x[0,0] in the upper left or upper right by using the origin parameter.
+You can also control the default be setting image.origin in your
+matplotlibrc file; see http://matplotlib.sourceforge.net/.matplotlibrc
+"""
+from matplotlib.matlab import *
+
+x = arange(100.0); x.shape = 10,10
+
+
+subplot(211)
+title('blue should be up')
+imshow(x, origin='upper', interpolation='nearest')
+
+subplot(212)
+title('blue should be down')
+imshow(x, origin='lower', interpolation='nearest')
+
+savefig('image_origin')
+show()
@@ -0,0 +1,22 @@
+"""
+N       Classic     Base renderer    Ext renderer
+20       0.22           0.14            0.14
+100      0.16           0.14            0.13
+1000     0.45           0.26            0.17
+10000    3.30           1.31            0.53
+50000    19.30          6.53            1.98
+"""
+#!/usr/bin/env python
+from matplotlib.matlab import *
+
+import time
+
+
+for N in (20,100,1000,10000,50000):
+    tstart = time.time()
+    x = 0.9*rand(N)
+    y = 0.9*rand(N)
+    s = 20*rand(N)    
+    scatter(x,y,s)
+    #savefig('scatter_demo')
+    print '%d symbols in %1.2f s' % (N, time.time()-tstart)