Hi folks, [ sorry for the cross-post, but devs on both lists will care about this]
I just went through the exercise of pasting 100 randomly chosen examples from the gallery into the new ipython console with inline graphics. Report: - 98 worked perfectly: the figures I got were identical to those on the website. - 1 had minor visual differences: http://matplotlib.sourceforge.net/examples/pylab_examples/quadmesh_demo.html: in the SVG render, the masked region appears black instead of transparent. - One produced an error: http://matplotlib.sourceforge.net/examples/axes_grid/simple_axisline4.html ... ...: plt.draw() ...: plt.show() ...: Received invalid plot data. But when I save the file and try to load it into firefox, it seems to indeed be bad SVG: XML Parsing Error: mismatched tag. Expected: </g>. Location: file:///home/fperez/ipython/ipython/bad.svg Line Number 287, Column 3:</svg> --^ In summary: we can run pretty much any MPL example by straight copy/paste, and the only two glitches I see are in the SVG data itself. Once the other two buglets I reported earlier get fixed up, this will be a very nice way to interact with MPL. One small request: is it possible/easy to add to the MPL examples a little 'copy to clipboard' button or link? Now that one can copy/paste wholesale examples into an interactive session to explore them, it feels annoying to have to highlight the whole text box and then do Ctrl-C or menu->copy. It would be really nice to have a one-click 'copy to clipboard'... But I have no idea if that's easy or hard in HTML... Anyway, I think we're starting to be in pretty good shape! Cheers, f ------------------------------------------------------------------------------ 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
