Howdy, I just wanted to bump this again: given the speed of Michael's recent SVG fixes, maybe fixing these two is also quite easy. They are the only problem coming from matplotlib right now regarding the use of the new qt console for ipython.
If not let me know and I'll just file reports on the tracker for long-term storage :) Cheers, f On Tue, Sep 7, 2010 at 3:39 AM, Fernando Perez <fperez....@gmail.com> wrote: > Hi folks, > > I've just implemented support in ipython for simultaneous use of the > interactive mpl gui backends along with inlined figures, as I had > suggested to Eric things could work. > > But I'm seeing two little glitches, illustrated here: > > http://fperez.org/tmp/mpl_svg_bug.png > > The white console on the right is IPython, the mpl window was my only > open figure. > > The code I ran was: > > x=rand(1000) > plot (x) # this pops up the normal gui, I tested Qt4Agg and GTKAgg > > paste() # this pasted the open figure into the IPython console. > > At this point, the plot in the window got that funny size, with the > x-labels double-drawn. It seems as if the figure got re-drawn over > the previous canvas, at a different size. If I resize the window, the > problem goes away, but if I don't resize it, it persists through new > plot/draw operations. > > The second problem... I then zoomed the interactive window and issued > paste again, getting the plot in the bottom right of the figure: > paste() > > And here the bug seems to be related to clipping: while the window > clips OK, the SVG seems not to. > > Is this a fundamental limitation of the SVG backend? > > For IPython we can also switch to pngs if that turns out to work > better, but I figured I'd report these... > > All this was done with current mpl from trunk. ------------------------------------------------------------------------------ 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-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
