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From: Hans B. <han...@ar...> - 2012-11-01 20:53:09
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Hello everybody,
I'm building a small Tkinter GUI using matplotlib, in which I have to
change/update plots quite often depending on user input (with different
contents & sizes, in different places in the GUI, etc.; but always only
one figure at a time).
As a first resort, I regenerated the figures with plt.figure(...) whenever
necessary; unfortunately, the program happily accumulated memory with
every new figure until the computer would no longer cooperate in a timely
fashion. The following minimal script should demonstrate the tendency:
--- start of script ---
import math
from Tkinter import Tk, Button
import Tkconstants
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
from matplotlib import pyplot as plt
def replot():
global globalCanvas, globalFigure, plotShift
# any variety of clean-up calls
if globalFigure is not None:
plt.close()
globalCanvas.get_tk_widget().destroy()
globalFigure.clf()
globalFigure = Figure(dpi=120, figsize=(4, 4))
globalCanvas = FigureCanvasTkAgg(globalFigure, master=root)
globalCanvas.get_tk_widget().grid(row=0, column=1)
xVals = xrange(100)
ax = globalFigure.add_subplot(111)
ax.plot(xVals, [math.sin(x + plotShift) for x in xVals])
plotShift += 10
# MAIN
globalCanvas = None
globalFigure = None
plotShift = 0 # just to see the plot change
root = Tk()
draw_button = Button(root, text="Replot", command=replot)
draw_button.grid(row=0, column=0, sticky=Tkconstants.N)
root.mainloop()
--- end of script ---
I have tried various clean-up calls, but the effect (of memory piling up)
is always the same. Using objgraph (http://mg.pov.lt/objgraph/), I took a
look at object counts by adding the following snippet at the end of the
"replot" call:
--- start of insertion ---
import gc
import objgraph
gc.collect()
print "---"
for c in ('FigureCanvasTkAgg', 'Figure'):
print "{}\t{}".format(len(objgraph.by_type(c)), c)
--- end of insertion ---
The output shows that the total number of both Figures and
FigureCanvasTkAggs increases constantly (i.e., one each after the first
call, then two each, etc.), whereas I had expected that old ones get
released, and that the count remains at one each.
Now I am wondering if I am missing some detail, e.g., some other clean-up
procedure? Or should this work & could be a memory leak in matplotlib or
Tkinter? And/or is this approach (of generating a new figure every time)
not recommended in the first place? I tried reusing the figure, but some
aspects like changing the layout in the GUI and applying new size and dpi
then proved tricky in their own ways.
Many thanks in advance,
Hans
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From: Vlastimil B. <vla...@gm...> - 2012-11-02 11:01:43
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2012/11/1 Hans Bering <han...@ar...>: > Hello everybody, > > I'm building a small Tkinter GUI using matplotlib, in which I have to > change/update plots quite often depending on user input (with different > contents & sizes, in different places in the GUI, etc.; but always only > one figure at a time). > > As a first resort, I regenerated the figures with plt.figure(...) whenever > necessary; unfortunately, the program happily accumulated memory with > every new figure until the computer would no longer cooperate in a timely > fashion. The following minimal script should demonstrate the tendency: > ... > Now I am wondering if I am missing some detail, e.g., some other clean-up > procedure? Or should this work & could be a memory leak in matplotlib or > Tkinter? And/or is this approach (of generating a new figure every time) > not recommended in the first place? I tried reusing the figure, but some > aspects like changing the layout in the GUI and applying new size and dpi > then proved tricky in their own ways. > > Many thanks in advance, > Hans > Hi, I'd recommend to use an embedded plot and only clear and replace its content (rather than tu use pyplot and recreate the figure multiple times. I believe, changing of the figure should be possible too. see e.g. the sample for tkinter http://matplotlib.org/examples/user_interfaces/embedding_in_tk.html I only roughly adapted that source to use your function and the memory usage appears to be more effective (although there is some increase too - as displayed in Process Explorer). Would some variation of the following work for you? hth, vbr ######################################## #!/usr/bin/env python import matplotlib matplotlib.use('TkAgg') import math from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg from matplotlib.figure import Figure import Tkinter root = Tkinter.Tk() root.wm_title("Embedding in TK") fig = Figure(figsize=(5,4), dpi=100) ax = fig.add_subplot(111) canvas = FigureCanvasTkAgg(fig, master=root) canvas.show() canvas.get_tk_widget().pack(side=Tkinter.TOP, fill=Tkinter.BOTH, expand=1) toolbar = NavigationToolbar2TkAgg( canvas, root ) toolbar.update() canvas._tkcanvas.pack(side=Tkinter.TOP, fill=Tkinter.BOTH, expand=1) plotShift = 0 def replot(): global plotShift, a, f ax.clear() xVals = xrange(100) ax.plot(xVals, [math.sin(x + plotShift) for x in xVals]) fig.canvas.draw() plotShift += 10 button = Tkinter.Button(master=root, text='replot', command=replot) button.pack(side=Tkinter.BOTTOM) Tkinter.mainloop() |