2008/6/3 Darren Dale <[EMAIL PROTECTED]>:
> On Sunday 01 June 2008 04:10:45 am Pierre Raybaut wrote:
>
Sorry, I didn't mean to seem brusque. If there is a problem with
> matplotlib's
> qt4 support, I would prefer to have a chance to look into it before the
> problem is announced to the pyqt community.
>
No problem, I understand your concern and completely agree: I'll be more
cautious in the future.
>
> I tried putting some print statements in backend_qt4agg to see how long it
> was
> taking to draw the canvas:
>
> def draw( self ):
> """
> Draw the figure when xwindows is ready for the update
> """
>
> if DEBUG: print "FigureCanvasQtAgg.draw", self
> self.replot = True
> d0 = time.time()
> FigureCanvasAgg.draw(self)
> d = time.time()
> print d-d0, 'agg:draw'
> d0=d
> self.update()
> print time.time()-d0, 'qt4:update'
>
> FigureCanvasAgg.draw(self) takes about .02 seconds, and self.update() takes
> less than .0004 seconds. FigureCanvasAgg.draw is independent of qt/pyqt, so
> it look like panning/zooming is limited only by how fast matplotlib/agg can
> draw the canvas on my machine, which has qt-4.4.0 and PyQt4-4.4.2.
>
On my computer, FigureCanvasAgg.draw(self) takes 16 ms (basically the same
duration as yours), and self.update() takes 0 second, for both PyQt 4.3.3
and 4.4.2 - and there is still clearly a display performance issue with
release 4.4.2 (apparently, the draw and update features take the same time,
but on screen, panning/zooming refresh rate is clearly lower than with PyQt
4.3.3).
So it seems that it is not a good way to measure the display performance,
and honestly I don't know maplotlib enough to see how to do the right
benchmark.
Pierre
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