On 10/05/2010 01:00 PM, Jorge Scandaliaris wrote: > Hi, > Today I tried to run some code in my new notebook, but I only got blank > figures > and high CPU usage as a result. This code did run on my previous laptop. I can > reproduce this behavior with the following code at the bottom of this message. > The backtrace (also at the bottom this message) points to show() as the cause > of > the problem. The reason I have show() at the top is because in my code the > call > to plot() is done within a loop (I reuse the same figure for multiple plots). > I > still have to check all software versions in detail from the older laptop, > but I > wanted to ask here in case this was a known problem. I have ipython from git, > and matplotlib 1.0, this is a 64 bit OS (Ubuntu 10.10). Matplotlib was > installed > from source. In the other laptop (Ubuntu 10.4, 32 bits) there's also ipython > from git (although an older revision) and matplotlib 1.0 compiled from source. > > Regards, > > Jorge
For this to work, you need to be in matplotlib's interactive mode, either by running ipython with the -pylab option, or by calling plt.ion() before your call to show(). In either of these cases, your example code works for me with ipython from git, mpl from svn, and using drag/drop to enter the code in ipython. I am also on ubuntu 10.10, 64-bit, with gtkagg backend. Eric > > > example code showing the problem > ----8<------------------------- > import numpy as np > import matplotlib as mpl > import matplotlib.pyplot as plt > > fig, ax = plt.subplots(1,1) > plt.show() > data = np.random.randn(10) > ax.plot(data) > fig.canvas.draw() > ----8<------------------------- > > backtrace after hitting CTRL-C > ----8<------------------------- > In [2]: run doct/intrinsic-images/test_show.py > ^C--------------------------------------------------------------------------- > KeyboardInterrupt Traceback (most recent call last) > /home/jscandal/sw/python/doct/intrinsic-images/test_show.py in<module>() > 5 > 6 fig, ax = plt.subplots(1,1) > ----> 7 plt.show() > 8 data = np.random.randn(10) > 9 ax.plot(data) > > /home/jscandal/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.pyc > in show(mainloop) > 76 if mainloop and gtk.main_level() == 0 and \ > 77 len(Gcf.get_all_fig_managers())>0: > ---> 78 gtk.main() > 79 > 80 def new_figure_manager(num, *args, **kwargs): > > KeyboardInterrupt: ------------------------------------------------------------------------------ Beautiful is writing same markup. Internet Explorer 9 supports standards for HTML5, CSS3, SVG 1.1, ECMAScript5, and DOM L2 & L3. Spend less time writing and rewriting code and more time creating great experiences on the web. Be a part of the beta today. http://p.sf.net/sfu/beautyoftheweb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
