Re: [Matplotlib-users] slowdown when using pcolor and TkAgg; help?

[Perry G. <pe...@st...>]

My guess is that the hold mode is true (that's the default). I think 
this means that every time you call .pcolor that you are just appending 
another one to the axes. You should either change the default hold mode 
or call the .clear() method of the axes object before calling the 
.pcolor method. If you don't do that it is rendering n previous 
versions and the time it takes grows linearly.

Perry

On Mar 16, 2005, at 2:47 PM, Russell E. Owen wrote:

> I have appended some code which draws a varying pcolor plot in a 
> Tkinter
> window. The plot shows two 5x5 white rings which shrink to 3x3 and then
> 1x3, then cycles through this repeatedly.
>
> Unfortunately, it slows down with each cycle!!!
>
> Are we doing something wrong? Or can we work around the problem 
> somehow?
>
> (By the way, I did not write the code, though I cleaned up some 
> portions
> of it. I realize the data generation can be cleaned up, but it's not
> slowing things down).
>
> -- Russell
>
> P.S. At risk of distracting from the main problem: I am not entirely
> sure I'm commanding a redraw in the correct fashion. I'm fuzzy on the
> difference between show and plot. Using canvas.show() and canvas.plot()
> both seem to work. Just calling plot() doesn't. Any hints on this or
> pointers to documentation would be appreciated.
>
> Also, is pcolor documented anywhere?
>
> ----- the code -----
>
> import Tkinter as Tk
> from matplotlib.pylab import *
> import matplotlib.numerix as num
> from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg,
> NavigationToolbar2TkAgg
>
> root = Tk.Tk()
> a =[ [0,1,2,3,4,5,6,\
> 90,91,92,93,94,95,96,15,30,45,\
> 60,75,21,36,51,66,81,\
> 8,9,10,11,12,13,14,98,99,\
> 100,101,102,103,104,\
> 23,38,53,68,83,29,44,59,74,89],\
> [16,17,18,19,20,76,77,78,79,80,35,50,65,\
> 31,46,61,24,25,26,27,28,\
> 84,85,86,87,88,39,54,69,43,58,73],\
> [32,33,34,62,63,64,47,49,40,41,42,\
> 70,71,72,55,57],\
> [48,56] ]
>
> ioff()
> f = figure(figsize=(3,3))
> sp = f.add_subplot(111)
> canvas = FigureCanvasTkAgg(f, master=root)
> canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
>
> def displayData(maxCount=20, delayTimeMS=20, count=0):
>     fx = count % len(a)
>     a[fx].sort()
>     ra = []
>     cnt = 0
>     v = a[fx][cnt]
>     for i in range(15*15):
>         if i == v:
>             ra.append(1)
>             cnt += 1
>             if cnt < len(a[fx]):
>                 v = a[fx][cnt]
>
>         else:
>             ra.append(0)
>
>     z = num.reshape(ra, (15,15))
>     sp.pcolor(transpose(z), cmap=cm.gray, norm=normalize())
>     canvas.draw()
>     count += 1
>     if count < maxCount:
>         root.after(delayTimeMS, displayData, maxCount, delayTimeMS,
> count)
>
> displayData(maxCount=100, delayTimeMS=20)
> root.mainloop()
>
>
>
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