I have a mpl graph embedded in wxPython, and I call a function, customize_plot() to do a number of things to the plot: adjust the spacing around it, set the formatters, fontsizes, axis limits, set a grid, etc.
Now I want to potentially highlight points (by adding semi-transparent points on top of existing ones) or annotate points with user interaction. If I do that, it seems I need to call canvas.draw(). But when I do that, it redraws the whole canvas and ignores some of the formatting I laid out in customize_plot(), specifically the view limits, and that's not acceptable. I want it to simply add the new points without changing any of the features of the plot. Is there a way to do that? In Googling for hints, I found this point from JDH from almost two years ago, which I think is applicable to my need: > If you call fig.canvas.draw, everything will be updated. If you want > to selectively draw certain artists, you can use the animated property > w/ background copy/restore and the draw_artist method as described at > http://www.scipy.org/Cookbook/Matplotlib/Animations Is this still the case in the current version of matplotlib? Or is there a newer way to do it now? Thank you for any suggestions, Che ------------------------------------------------------------------------------ SOLARIS 10 is the OS for Data Centers - provides features such as DTrace, Predictive Self Healing and Award Winning ZFS. Get Solaris 10 NOW http://p.sf.net/sfu/solaris-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
