On Thu, Aug 11, 2011 at 11:19 AM, David Just <just.da...@mayo.edu> wrote:
> Sorry if this get’s re-posted, my earlier e-mail didn’t seem to go
> through.
>
> I have an array of images stored as an array of numpy arrays. I need to
> be able to efficiently scroll through that set of images. My first attempt
> at doing this goes something like this:
>
> --init--
>
> self.ax = pyplot.imshow(imgdta[0], interpolation='spline36',
> cmap=cm.gray, picker=True) # draw the plot @UndefinedVariable
> pyplot.axes().set_axis_off()
> self.fig = self.ax.get_figure()
> self.canvas = FigureCanvasGTKAgg(self.fig)
>
> --onscroll--
> self.ax.set_array(imdta[n]) # 0 < n < num_images
> self.canvas.draw()
>
>
> This method ends up re-interpolating the image on each scroll event (which
> takes SIGNIFICANT time). What I’d like to do is pre-build the images and
> then just change what image is displayed on the canvas on each scroll event.
> I cannot seem to figure out how to do this. Can anybody give me a pointer
> in the right direction.
>
> Thanks,
> Dave.
>
>
You are doing it how I would do it for animations of imshow, which does not
result in re-interpolations. I wonder if the on_scroll event is getting
called more often than it needs? How big are these images?
Ben Root
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