When performing interactive plotting from a script (i.e. matplotlib.interactive(True) followed by my plotting code, no show() calls involved but sometimes draw()) I am getting plot windows that initially show a plot, but upon attempts at interaction hang and go blank. Unfortunately, I cannot reproduce this with simple examples yet, only from an application that I have been using for the past year starting with matplotlib 0.98, then 0.99.3, and now 1.0.0.
Details... I am on 64-bit Windows 7 using 64-bit Python 2.7 and many 64-bit packages, including matplotlib, from http://www.lfd.uci.edu/~gohlke/pythonlibs/ Chris Gohlke's excellent site . I encounter these hanging, interactive windows in the following Python environments o 64-bit Python 2.6.5 with matplotlib 1.0.0 64-bit installer from source forge o 64-bit Python 2.7 with matplotlib 1.0.0 64-bit installer from Chris' periodic svn builds. This is my main environment. In both environments, the problem exists with the TkAgg and WxAgg backends, and it happens whether I use the basic Python shell, or the IPython 0.10 and 0.11 shells. The solution for me is to use the Qt4Agg backend. Everything works as expected using this backend. I cannot find any obvious issues in my code. Again, this application has been working with previous versions of matplotlib using the default TkAgg backend, on 32-bit Windows XP and 64-bit Windows 7 for a while now. Has anyone else experienced similar issues? There is a http://old.nabble.com/problems-with-ipython-0.10-autocompletion-and-interactive-plotting-td29312351.html#a29421228 related thread here which seems to have been dealt with by reverting to 0.99.3. Thanks, ----- Josh Hemann Statistical Advisor http://www.roguewave.com//"; Rogue Wave Software jhemann at vni dizzot com -- View this message in context: http://old.nabble.com/Interactive-plotting-hangs-with-certain-backends-on-64-bit-Windows-7-tp29822071p29822071.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
