It's pretty simple, but I was stunned myself how simple. Have a look
at line 65 of your script you provided:
W = W.T
This means, x <-> y. But in the for loops, you still act as if W
wasn't transposed. I added some prints, the positions should be clear
for you:
argW.shape = (320, 200)
i, j = (0, 0)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (0, 50, 0, 80)
part2plot.shape = (50, 80)
i, j = (0, 1)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (50, 100, 0, 80)
part2plot.shape = (50, 80)
i, j = (0, 2)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (100, 150, 0, 80)
part2plot.shape = (50, 80)
i, j = (0, 3)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (150, 200, 0, 80)
part2plot.shape = (50, 80)
i, j = (1, 0)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (0, 50, 80, 160)
part2plot.shape = (50, 80)
i, j = (1, 1)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (50, 100, 80, 160)
part2plot.shape = (50, 80)
i, j = (1, 2)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (100, 150, 80, 160)
part2plot.shape = (50, 80)
i, j = (1, 3)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (150, 200, 80, 160)
part2plot.shape = (50, 80)
i, j = (2, 0)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (0, 50, 160, 240)
part2plot.shape = (50, 40)
i, j = (2, 1)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (50, 100, 160, 240)
part2plot.shape = (50, 40)
i, j = (2, 2)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (100, 150, 160, 240)
part2plot.shape = (50, 40)
i, j = (2, 3)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (150, 200, 160, 240)
part2plot.shape = (50, 40)
i, j = (3, 0)
j*ny/4, (j+1)*ny/4, i*nx/4, (i+1)*nx/4 = (0, 50, 240, 320)
part2plot.shape = (50, 0)
Traceback (most recent call last):
File "D:\Home\Friedrich\Entwicklung\2010\David\aquarius.py", line 91, in ?
ax.imshow(part2plot, extent = extent)
File "D:\Programme\Programmierung\python-2.4.1\lib\site-packages\matplotlib\ax
es.py", line 5471, in imshow
im.autoscale_None()
File "D:\Programme\Programmierung\python-2.4.1\lib\site-packages\matplotlib\cm
.py", line 148, in autoscale_None
self.norm.autoscale_None(self._A)
File "D:\Programme\Programmierung\python-2.4.1\lib\site-packages\matplotlib\co
lors.py", line 682, in autoscale_None
if self.vmin is None: self.vmin = ma.minimum(A)
File "D:\Programme\Programmierung\python-2.4.1\lib\site-packages\numpy\ma\core
.py", line 3042, in __call__
return self.reduce(a)
File "D:\Programme\Programmierung\python-2.4.1\lib\site-packages\numpy\ma\core
.py", line 3057, in reduce
t = self.ufunc.reduce(target, **kargs)
ValueError: zero-size array to ufunc.reduce without identity
So you simply have to exchange the role of x and y in your slice
indicing expression, and everything will work out fine, I suspect :-)
Or simpy leave out the transposition? Note that in the other case,
you also may have to consider to change to extent's axes to get it
properly reflected.
NB: With my version of matplotlib, it didn't accept the colormap, but
when yours does, it doesn't matter.
Friedrich
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