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Home/ Questions/Q 8940309
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Editorial Team
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Editorial Team
Asked: June 15, 20262026-06-15T11:00:17+00:00 2026-06-15T11:00:17+00:00

I’m using matplotlib housed in a wxPython panel to do some heavy duty plotting.

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I’m using matplotlib housed in a wxPython panel to do some heavy duty plotting. My issues comes when using native panning tool – it’s appears as though matplotlib tries to constantly redraw the canvas as you drag the pan handle around. With the amount of data I’m plotting this is getting really choppy (already optimized with Collections for data etc)

In terms of performance I think it would be much preferable for the canvas to just draw once when the mouse is released at the end of a pan. I realise this will mean I have to extend the WxAgg NavigationToolbar2 class with my own, but I’m wondering if anyone has attempted something similar to this and can advise me on which functions to override?

many thanks

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  1. Editorial Team
    Editorial Team
    2026-06-15T11:00:19+00:00Added an answer on June 15, 2026 at 11:00 am

    I’ve spent a lot of time making modification on the matplotlib backends, I’ve never done this specific change, but I can show you one line of code to comment out that will stop the dynamic updating:

    I presume you are using the WxAgg backend, if this is the case, open this file: C:\Python27\Lib\site-packages\matplotlib\backends\backend_wx.py

    And comment out the line indicated here:

    def dynamic_update(self):
        d = self._idle
        self._idle = False
        if d:
            #self.canvas.draw() #<--- Comment out to stop the redrawing during the Pan/Zoom
            self._idle = True
    

    I tested this and it seems to nicely solve your issue. I did some quick digging and I didn’t see any other functions calling this procedure so you might even be able to just change it to:

    def dynamic_update(self):
        pass
    

    …Which is the same code you’ll find in the base NavigationToolbar2 class

    (And of course, if you’re happy with this change you can do a little more work to make your own custom backend with this kind of modification. Just to make sure you don’t lose the change when upgrading matplotlib)

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