On 09/04/2011 12:08 PM, Adam Davis wrote:
> 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:
>
> - f
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 (a
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,
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)
f
