Hi, I am still using the old "plt" package that used to be part of SciPy ( I fixed it up, kept it alive and it runs now fine with numpy). I would really like to switch to matplotlib (using the wx backend) but I'm having concerns regarding speed.
So I was wondering what are other people's speed benchmarks are like -- to do something like a simple >>> a = numpy.arange(500) >>> mpl.plot(a) I timed it and it took something like 50ms for a repeat of the plot command. With my plt plotting package it is probably 10-50x faster. I want to interactively plot and update (using the clear and plot commands) things like image "line profiles" i.e. 512 points graphs. Another example is that I started playing with ODEs (like http://www.scipy.org/LoktaVolterraTutorial) and tried to make a small gui to (like a Trait slider) for some parameters and the plotting would make it completely unresponsive (plt worked again very fast -- super ugly, but fast ;-) ) Is there a special way to update plots very fast, i.e. faster than clr();plot(...) ? Regards, Sebastian Haase ------------------------------------------------------------------------------ OpenSolaris 2009.06 is a cutting edge operating system for enterprises looking to deploy the next generation of Solaris that includes the latest innovations from Sun and the OpenSource community. Download a copy and enjoy capabilities such as Networking, Storage and Virtualization. Go to: http://p.sf.net/sfu/opensolaris-get _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
