How embarrassing! :O Well, as they say, 'nother set of eyes... Thanks!
DG On Mon, Mar 8, 2010 at 11:25 AM, Friedrich Romstedt < friedrichromst...@gmail.com> wrote: > 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 > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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