Dear John and Eric, Thank you for the fast response. I'm using version 0.99.1.1 (to be exact), the MacOSX binary release for Python 2.5. The fix with path.simplify: False in matplotlibrc works perfectly! I googled quite a lot beforehand in order to find a fix for this issue, but obviously failed to find this bug.
Once more thank you very much for the help. Cheers, Jakub On 18 Feb 2010, at 22:39, John Hunter wrote: > On Thu, Feb 18, 2010 at 4:19 PM, Jakub Nowacki > <j.s.nowa...@googlemail.com> wrote: >> Hi, >> >> I work with neural models and I have problem with plotting fast spiking >> data. The spikes on the plot appear to have different hight which changes >> when I for example resize the plot window. The same problem is with saving >> data into files, especially in vector formats. I found the information about >> changing the join style, it helps a bit (rounded is the best) but doesn't >> solve the problem. For raster formats the workaround is to save the data in >> higher resolution, using DPI option. Below I included links to examples. >> >> Normal example (100 DPI): >> https://docs.google.com/leaf?id=0B3NZY3443E1VY2JjNTc3MjAtZDI5NC00OThjLTgwY2EtNTVhMDVkZWQ2YzIw&hl=en >> >> Example 300 DPI: >> https://docs.google.com/leaf?id=0B3NZY3443E1VNDdkMzUzNzAtMjdmNC00NjFmLTliMzMtODE5MzExMmNjNjQz&hl=en >> >> The problem is vector files (I'm especially interested in EPS) ignore DPI >> option. I've experimented with different backends and the problem is >> persistent on GUI and 'file-writting' back ends. I also tested it on Linux >> and Mac, and the outcome does't change. Creating larger figures sometimes >> helps a bit but not always solve the problem. >> >> Just to mention that plotting this kind of data is possible 'out of the box' >> in Matlab or XPPAut (which is not the most fancy plotting tool) I get a >> proper outcome. Maybe there should be a option to plot raw data in some >> sense, or join style function that deals with such a plots in a proper >> fashion. >> >> If you need some additional information do not hesitate to ask. Thanks for >> the help in advance. > > > This is a known bug in the latest release of mpl that is fixed in svn. > We do need to get a new release out soon. > > It is easy to fix by uncomennting the > > path.simplify : False > > line in your matplotlibrc file (the default is True). Note that > path.simplify does work in the svn release of matplotlib -- it is > designed to reduce paths but be imperceptible to the eye at the > resolution plotted, but due to a bug in the released version it can > result in improper simplifications. > > > See http://matplotlib.sourceforge.net/users/customizing.html for > information on how to change your matplotlibrc settings. > > JDH ------------------------------------------------------------------------------ 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-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
