> Hello, > How did you get the cumtime listing? The output of the run doesn't produce a > cumulative sum table as you showed here.
> Gökhan No, it doesn't. The output of the run is four huge cProfile listings, one for each plotting command tested. I manually searched the data for long cumtime's that differed between the plots and typed the table myself. I have also confirmed the speed differences on matplotlib 0.99.0 under Ubuntu 9.10: plot 0.629 CPU seconds semilogx 3.430 CPU seconds semilogy 1.044 CPU seconds loglog 1.479 CPU seconds I'll try to figure out why semilogx uses so much more mathtext than semilogy, but if anyone familiar with the code is curious enough to look into it they will probably beat me to the answer. Andrew ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
