--- On Sun, 2/28/10, Ryan May <rma...@gmail.com> wrote:
> David Goldsmith
> <d_l_goldsm...@yahoo.com>
> wrote:
> > --- On Sat, 2/27/10, Ryan May <rma...@gmail.com>
> wrote:
> >> David Goldsmith
> >> <d_l_goldsm...@yahoo.com>
> >> wrote:
> >> > Question 2) is there some way I can add
> pieces of the
> >> array incrementally to
> >> > the image into their proper place, i.e.,
> modify the
> >> following code:
> >> >
> >> > ax.imshow(image[0:ny/2+1, 0:nx/2+1]) #
> upper
> >> left corner of image
> >> > ax.hold(True)
> >> > ax.imshow(argW[ny/2+1:-1, 0:nx/2+1]) #
> lower
> >> left corner of image
> >> > ax.imshow(argW[0:ny/2+1, nx/2+1:-1]) #
> upper
> >> right corner of image
> >> > ax.imshow(argW[ny/2+1:-1, nx/2+1:-1])
> # lower
> >> right corner of image
> >>
> >> Try the extents keyword argument. It let's you
> specify the
> >> corners of
> >> the image in data coordinates.
> >>
> >> Ryan
> >
> > Hi, Ryan, thanks! Can you be a little more specific
> as to how I should try that? I tried:
> >
> > ax.imshow(argW[0:ny/2+1, 0:nx/2+1], cmap_name,
> extent=(0,nx/2,ny/2,0))
> > ax.hold(True)
> > ax.imshow(argW[ny/2+1:-1, 0:nx/2+1], cmap_name,
> extent=(0,nx/2,ny,ny/2))
> > ax.imshow(argW[0:ny/2+1, nx/2+1:-1], cmap_name,
> extent=(nx/2,nx,ny/2,0))
> > ax.imshow(argW[ny/2+1:-1, nx/2+1:-1], cmap_name,
> extent=(nx/2,nx,ny,ny/2))
> >
> > which didn't work (I only got one "corner" - the last
> one, I think - i.e., I think it's still just putting
> subsequent images on top of prior ones).
>
> (Putting back on list)
Sorry, my (unintentioned) bad. :-(
> Based on just a quick look, I'd make sure:
>
> 1) To set the x and y limits appropriately:
>
> ax.set_xlim(0, nx)
> ax.set_ylim(ny, 0)
OK, thanks!
> 2) Make sure to use the same colormapping limits, by using
> an instance
> of normalize:
>
> # Can also import Normalize from matplotlib.colors
> norm = plt.Normalize(datamin, datamax)
> ax.imshow(argW[0:ny/2+1, 0:nx/2+1], cmap_name,
> extent=(0,nx/2,ny/2,0),
> norm=norm)
>
> I'm pretty sure #1 is your problem in seeing, but #2 would
> potentially
> cause a funky looking image.
Right, thanks, I was worried about that, but I thought "one problem at a time."
;-)
I'll try it out and report back.
DG
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