Hi Christophe, This is (I think) a known limitation of the OS X backend. One way around this is to use another backend. Which backends are available depends on how your matplotlib was built. (And unfortunately I don’t know how to figure out which ones are available, apart from trying.) In my case (matplotlib from homebrew on OS X 10.9.2) the TkAgg backend works.
To use the TkAgg backend insert these two lines: import matplotlib matplotlib.use('Agg’) before the line import matplotlib.pyplot as plt I hope that helps. Best regards, Jeroen On 13 Mar 2014, at 15:33, Christophe Bal <projet...@gmail.com> wrote: > Hello, > I'm a little disappointed by the following test program coming from this post. > > What are the technical reasons that make fail the following code under Mac O$ > ? > > Best regards. > Christophe BAL > > ---- TEST --- > > from random import randint, > choice > > import > time > > import matplotlib.pyplot as > plt > > import matplotlib.patches as > mpatches > > back_color > = "black" > > colors > = ['red', 'green', 'cyan', 'yellow'] > > width > , height = 16, 16 > > > fig > , ax = plt.subplots() > > ax > .set(xlim=[0, width], ylim=[0, height]) # Or use "ax.axis([x0,x1,y0,y1])" > > > > # Be sure to draw the canvas once before we start blitting. Otherwise > # a) the renderer doesn't exist yet, and b) there's noting to blit onto > > fig > .canvas.draw() > > > > def update(): > > x > = randint(0, width - 1) > > y > = randint(0, height - 1) > > > rect > = mpatches.Rectangle( > > > (x, y), 1, 1, > > facecolor > = choice(colors), > > edgecolor > = > back_color > > ) > > ax > .add_artist(rect) > > > start > = time.time() > > ax > .draw_artist(rect) > > fig > .canvas.blit(ax.bbox) > > > print("draw >>>", time.time() - start) > > > timer > = fig.canvas.new_timer(interval=1) > > timer > .add_callback(update) > > timer > .start() > > > plt > .show() > ------------------------------------------------------------------------------ > Learn Graph Databases - Download FREE O'Reilly Book > "Graph Databases" is the definitive new guide to graph databases and their > applications. Written by three acclaimed leaders in the field, > this first edition is now available. Download your free book today! > http://p.sf.net/sfu/13534_NeoTech_______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Learn Graph Databases - Download FREE O'Reilly Book "Graph Databases" is the definitive new guide to graph databases and their applications. Written by three acclaimed leaders in the field, this first edition is now available. Download your free book today! http://p.sf.net/sfu/13534_NeoTech _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users