Thank you for the tip. I actually had played around with matplotlib.rcdefaults() before, but that didn't work. I tried now the using exactly the clear_state function you suggested. Since it still didn't work, I finally found out that I had a very similar problem with another module from which I determine axes, figure size and other things. So, thank you very much, that helped me a lot and now things work the way I want!
On Die 18 Okt 2011 04:45:27 CEST, John Hunter wrote: > On Mon, Oct 17, 2011 at 2:57 PM, tinux <hoffmann.mar...@gmail.com> wrote: >> >> I have around 100 python files, that each create one figure using matplotlib. >> Since I want to use all CPU cores, I basically did "for filename in files: >> execfile(filename)" using a python script. However, this does not produce >> the same output as running each file separately (for instance axes, figure >> size are sometime wrong). >> I _think_ I narrowed it down to this: In all files I need to do >> "matplotlib.rcParams(update)". I guess that this influences the matplotlib >> rc parameters and thus somehow values from some figures are used for others. >> >> So, my question is, how can I do something like >> "matplotlib.rcParams(update)" so that it does not influence other scripts >> that are run in parallel using 'execfile'? Or, how do I set rc parameters >> for one specific script? >> >> BTW, I tried 'pp' and 'multiprocessing', same problem with both. > > The problem is that the rc params are module level in matplotlib so in > a persistent process like ipython if one script modifies the rc > params, subsequent files executed in the same process will be > affected. You can restore the rc params to their default state by > doing before each call to execfile > > import matplotlib > matplotlib.rc_file_defaults() > > > We face the same issue in the "plot_directive" which we use when > building the matplotlib documentation. We define a function > "clear_state" in > > > https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/sphinxext/plot_directive.py#L484 > > which closes all open figures, restore the rc defaults, and the > updates the defaults to an rc dictionary of the parameters we want for > each run. ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2d-oct _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
