Hi everyone, The following shows an example of a simple data viewer which includes a slider, a bitmap, and a scatter plot:
""" import numpy as np from matplotlib import pyplot as plt from matplotlib.widgets import Slider fig = plt.figure() ax1 = fig.add_axes([0.1, 0.1, 0.4, 0.7]) image = ax1.imshow(np.random.random((512, 512)), vmin=0., vmax=1.) ax2 = fig.add_axes([0.1, 0.9, 0.85, 0.05]) ax2.set_xticklabels("") ax2.set_yticklabels("") slider = Slider(ax2, "", 0., 1.) def update_vmax(value): image.set_clim(0., value) fig.canvas.draw() slider.on_changed(update_vmax) ax3 = fig.add_axes([0.55, 0.1, 0.4, 0.7]) x = np.random.random(10000) y = np.random.random(10000) ax3.scatter(x, y) plt.show() """ When moving the slider, the vmax of the image changes, but I get very slow frame rates (~2/sec) on my computer with the MacOS X backend. I was wondering whether people here have any tips on speeding things up? As far as I can figure out, this is slow because both the slider and the callback function call ``fig.canvas.draw``. Slider calls it before the callback function, so I definitely need to draw things in that function, but I can get a factor of 2x speedup by doing slider.drawon = False which prevents ``canvas.draw()`` being called twice. However, this is still much too slow, so I started to look into using ``draw_artist`` to only update elements that need updating, but this requires partially re-implementing the Slider class. As a side note, using ``draw_artist`` also does not work on the MacOS X backend: https://github.com/matplotlib/matplotlib/issues/166 but I'm willing to have a solution that wouldn't work on this backend if it was the only way. Does anyone have a clean solution to increasing the frame rate of this example? Thanks! Tom ------------------------------------------------------------------------------ This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users