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From: Thomas C. <tca...@gm...> - 2015-02-10 21:44:41
|
Sorry this didn't get a response for so long. The core of the embedding in Qt is at QWidget which contains the canvas. Anything you want to do with a QWidget you can do with the canvas. Independently you need to maintain the mpl level plotting objects (the Figure, Axes, and Artist objects) (well, you don't _need_ to, you can get to them through the canvas object, but to keep your self sane I highly recommend keeping track of the mpl objects your self, this linkage is there so that GUI generated draw commands can trigger a re-rendering of the figure). I would just have a widget for each of the plots you want to have and then cycle which one is visible in the main window, that is probably a lot easier than trying to attach and detach canvases from Figures. I would also take a look at glue http://www.glueviz.org/en/stable/installation.html who may have solved many of these problems for you. Tom On Thu Feb 05 2015 at 1:03:16 PM tenspd137 . <dcd...@gm...> wrote: > Hi all, > > I often have scripts that make a lot of plots, and I would like to be > able to create the plots and then have a UI tool that shows a list of > their titles, click on the title and have the plot be drawn in a > window. So far, I have been able to use PyQt to create a UI with a > list box and a Widget to display plots. What I can't seem to figure > out is how to make a bunch of plots and then have the Window update. > > So, in psuedo code: > > list of plots = [] > > Go through datasets: > plots.append(plot(dataset)) > > For plot in plots: > add plot title to UI list, position in list is reference back > into list of plots > > On UI: > click on plot name/title > widget draws plot > > > So - basically like docked plots, except there is just a list to the > side instead (much cleaner IMHO) > > I haven't been able to find any examples from googling. Has any one > been able to do this or seen examples? > > > Any help or suggestions are appreciated! > > Thanks! > > : > > ------------------------------------------------------------ > ------------------ > Dive into the World of Parallel Programming. The Go Parallel Website, > sponsored by Intel and developed in partnership with Slashdot Media, is > your > hub for all things parallel software development, from weekly thought > leadership blogs to news, videos, case studies, tutorials and more. Take a > look and join the conversation now. http://goparallel.sourceforge.net/ > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |