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    <p>To be honest, you made a little mess with the axis positioning and on the update function. I took the liberty to write again the plotting part and put the comment in there:</p> <pre><code># run your simulation like usual runSimulation() #create a ordered grid of axes, not one in top of the others axcolor = 'lightgoldenrodyellow' fig = p.figure() axdata = p.subplot2grid((7,4),(0,0),colspan=4,rowspan=4) axpos = p.subplot2grid((7,4),(-2,0),colspan=4, axisbg=axcolor) axvel = p.subplot2grid((7,4),(-1,0),colspan=4, axisbg=axcolor) # create your plots in the global space. # you are going to reference these lines, so you need to make them visible # to the update functione, instead of creating them inside a function # (and thus losing them at the end of the function) x = range(width) lpos, = axdata.plot(x,yPosition,'r') lvel, = axdata.plot(x,yVelocity,'g') ltarget, = axdata.plot(x,yTarget,'k') lforce, = axdata.plot(x,yForce,'b') # same as usual spos = Slider(axpos, 'Position Gain', 1.0, 20.0, valinit=1.5) svel = Slider(axvel, 'Velocity Gain', 5.0, 500.0, valinit=60.0) def update(val): # you don't need to declare the variables global, as if you don't # assign a value to them python will recognize them as global # without problem runSimulation(round(spos.val,2),round(svel.val,2)) lpos.set_ydata(yPosition) lvel.set_ydata(yVelocity) ltarget.set_ydata(yTarget) lforce.set_ydata(yForce) # you need to update only the canvas of the figure fig.canvas.draw() spos.on_changed(update) svel.on_changed(update) p.show() </code></pre> <p>By the way, if you want to simulate an damped oscillation, I strongly suggest you to give a look to the integrate module of scipy, wich contain the odeint function to integrate differential equation in a better way than what are you doing (that is called Euler integration, and is really error-prone)</p>
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    1. COExcellent - thank you! I was just expanding on the slider_demo.py example in the Matplotlib docs (http://matplotlib.org/examples/widgets/slider_demo.html), but your approach using subplot2grid is much clearer.
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