Eric,
Thank you for the reply.
Yes, eliminating sharex and sharey does solve that problem. But then my plot
axes (which are scatter plots of each orthogonal view of a vector space) are
not correspondingly scaled.
Is there a way to:
- force scaling across specified axes without using sharex/y (and without
disrupting imshow)?
- have subplots within subplots so that I can have the plot() calls in one
set of axes within a subplot (using sharex/y) and the imshow() calls in
another subplot?
-Adam
On Sun, Sep 4, 2011 at 10:34 PM, Eric Firing <efir...@hawaii.edu> wrote:
> On 09/04/2011 11:12 AM, Adam Davis wrote:
> > I have a figure with a number of plots that analyze a source image. I
> > wish to show the plots along side the image. Unfortunately whichever
> > method I call last clobbers (leaves blank axes) for the previously
> > called method.
> >
> > To illustrate:
> >
> > fig, axs = pylab.subplots(10, 4, sharex=True, sharey=True)
> >
> > for i in range(10):
> >
> > axs[i,0].plot(some_data)
> > axs[i,1].plot(some_data)
> > axs[i,2].plot(some_data)
> >
> > axs[i,3].imshow(some_image)
> >
> > #=====
> >
> > The above shows only the images in the fourth column. If, however, I
> > call imshow() first, followed by the call to plot(), then only the plot
> > axes appear and the images disappear.
> >
> > Is there a way to both plot and display images in the same figure?
>
> I suspect the problem here is your sharex and sharey kwargs. Try
> leaving them out.
>
> Eric
>
> >
> > -Adam
>
>
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