Hi, folks! Let's see, first the tech stuff: Python version - 2.5.4; matplotlib version - 0.99.0; numpy version - 1.4.0; Platform: 32 bit Windows Vista Home Premium SP2.
OK, now for the problem: imshow is (indirectly) raising "ValueError: zero-size array to ufunc.reduce without identity." Here's the traceback: Traceback (most recent call last): File "<mycode>", line 108, in <module> ax.imshow(part2plot, cmap_name, extent = extent) File "C:\Python254\lib\site-packages\matplotlib\axes.py", line 6261, in imshow im.autoscale_None() File "C:\Python254\lib\site-packages\matplotlib\cm.py", line 236, in autoscale_None self.norm.autoscale_None(self._A) File "C:\Python254\lib\site-packages\matplotlib\colors.py", line 792, in autoscale_None if self.vmin is None: self.vmin = ma.minimum(A) File "C:\Python254\Lib\site-packages\numpy\ma\core.py", line 5555, in __call__ return self.reduce(a) File "C:\Python254\Lib\site-packages\numpy\ma\core.py", line 5570, in reduce t = self.ufunc.reduce(target, **kargs) ValueError: zero-size array to ufunc.reduce without identity Script terminated. And here's the "local" code (it may be difficult to generate a self-contained reproducer of the problem, so I'm postponing that 'til it appears absolutely necessary): ax.hold(True) for i in range(4): for j in range(4): part2plot = argW[j*ny/4:(j+1)*ny/4, i*nx/4:(i+1)*nx/4] if N.any(N.logical_not(N.isfinite(part2plot))): print i, j, print N.argwhere(N.logical_not(N.isfinite(part2plot))) extent = (i*nx/4, (i+1)*nx/4, (j+1)*ny/4, j*ny/4) ax.imshow(part2plot, cmap_name, extent = extent) I added the print statements because Googling the error, I found an indication that if my image array contained any NaN's, that might be the cause; sure enough, I did have some, but I eliminated them, and now nothing gets printed before the exception is raised, so, unless I'm missing something obvious (wouldn't be the first time ;-)) something else is the problem. Any ideas? Thanks! DG ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users