Hi, Could anyone give a working example of an embedded, animated plot in a Tkinter application, where animated=True is used together with canvas background copying to make efficient animated plots in Tkinter together with other widgets?
I cannot make it work myself, see below. I am working on a prototype, where have some Tkinter widgets to control what is plotted. What I want to plot is something which progress in time depending on the state of the widgets, and it is potentially a lot of graphs and details on the canvas, but only minor changes between updates. So I would rather avoid redrawing the whole canvas. I would therefore like to use the trick with copying the backgorund, static canvas from frame to frame to a buffer, and only draw the animated artists on top of it as is discussed in http://www.scipy.org/Cookbook/Matplotlib/Animations#head-3d51654b8306b1585664e7fe060a60fc76e5aa08 and also examplified in http://matplotlib.sourceforge.net/examples/animation/animation_blit_tk.html Now, the example does not embed the matplotlib canvas in a Tkinter root class, which I need if I want to add other Tk widgets on the same window I have therefore tried to modify the animation by merging in the embbedding in Tk example: http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_tk.html The closest I have gotten to something, which works is this: import matplotlib matplotlib.use('TkAgg') import Tkinter import sys import pylab as p import numpy as npy import time root = Tkinter.Tk() fig = matplotlib.figure.Figure() ax = fig.add_subplot(111) canvas = matplotlib.backends.backend_tkagg.FigureCanvasTkAgg(fig, root) canvas.get_tk_widget().grid() # create the initial line x = npy.arange(0,2*npy.pi,0.01) ax.grid(True) # canvas.show() #If I add this, it does not show anything? line, = ax.plot(x, npy.sin(x), animated=True, lw=2) def run(*args): background = canvas.copy_from_bbox(ax.bbox) # for profiling tstart = time.time() while 1: # restore the clean slate background canvas.restore_region(background) # update the data line.set_ydata(npy.sin(x+run.cnt/10.0)) # just draw the animated artist ax.draw_artist(line) # just redraw the axes rectangle canvas.blit(ax.bbox) if run.cnt==1000: # print the timing info and quit print 'FPS:' , 1000/(time.time()-tstart) sys.exit() run.cnt += 1 run.cnt = 0 manager = p.get_current_fig_manager() manager.window.after(100, run) p.show() # If I outcomment this, the graph does not animate Now, this does show an efficient animated plot embedded in a Tk application, but I cannot make it work witout instatiating the other annoying backgroud window, whcih pops up when the p.show() is done. However, if i uncomment it, I never get a visible window. As I have understood the cookbook, one should draw the canvas before copying it to the background and before drawing the animated Artists. However, if I do that it does not work either. I must admit, that I do not fully grasp waht is goin on in the lines, where the current figure manager is associated woth the run method. Another problem with the naimation is that it is not possible to close it nicely. Any help would be appreciated. Kim ------------------------------------------------------------------------------ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users