Hi! I'm trying to display a 10800 x 8100 pixel image w/ imshow using the
following code (adapted from a response to a previous post of mine):
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
fig = Figure(figsize=(36,27),
dpi=300,
frameon=False)
canvas = FigureCanvas(fig)
ax = fig.add_subplot(111, xticks=[], yticks=[])
cmap = MPL.cm.get_cmap('prism_r')
ax.imshow(result, cmap=cmap)
canvas.print_figure('HiResHex')
I get the following error report:
Traceback (most recent call last):
File "Hex.py", line 208, in <module>
canvas.print_figure('HiResHex')
File "C:\python25\lib\site-packages\matplotlib\backend_bases.py", line 1201, i
n print_figure
self.figure.canvas.draw()
File "C:\python25\lib\site-packages\matplotlib\backends\backend_agg.py", line
358, in draw
self.figure.draw(self.renderer)
File "C:\python25\lib\site-packages\matplotlib\figure.py", line 624, in draw
for a in self.axes: a.draw(renderer)
File "C:\python25\lib\site-packages\matplotlib\axes.py", line 1305, in draw
for im in self.images if im.get_visible()]
File "C:\python25\lib\site-packages\matplotlib\image.py", line 131, in make_im
age
x = self.to_rgba(self._A, self._alpha)
File "C:\python25\lib\site-packages\matplotlib\cm.py", line 75, in to_rgba
x = self.norm(x)
File "C:\python25\lib\site-packages\matplotlib\colors.py", line 593, in __call
__
val = ma.asarray(value).astype(npy.float)
File "C:\python25\lib\site-packages\numpy\core\ma.py", line 1151, in astype
d = self._data.astype(tc)
MemoryError
Is there some maximum number of pixels imshow can handle? Any other
suggestions?
Platform Details: MPL 0.91.2 (sorry, I didn't realize I was running such an old
version, maybe I just need to upgrade?), Python 2.5.2, Windows XP 2002 SP3,
504MB physical RAM, 1294MB VM Page size (1000MB init., 5000MB max)
Thanks!
DG
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