Maybe I'll try the latest SVN version. I'm running the version in the
ubuntu 8.10 repositories, which appears to be 0.98.3
As for both contourf and pcolor, I was just testing to see that it was
messed up either way, leaving one commented and one uncommented. Having
them both uncommented was just a typo, but the problem persists either way.
Thanks,
Kevin
Jae-Joon Lee wrote:
I couldn't reproduce it (my output has no transparent column). I'm
running the current svn. I wonder if others can reproduce it.
Kevin,
what happen if you only do one of the pcolor or the contourf (it is
not clear why you're calling pcolor as it will be overridden by
contourf)?
-JJ
On Mon, Mar 23, 2009 at 5:10 PM, kmilner kmil...@usc.edu wrote:
Hi All,
I'm trying to plot evenly grided data to tiles for google maps overlays.
Each tile needs to be a 256x256 pixel PNG image, without any borders.
The problem that I'm having is that the leftmost column of the resultant PNG
image (saved using FigureCanvasAgg.print_figure) is transparent.
My real code uses basemap because the output has to be in the mercator
projection, but the sample code below is simplified to exclude it. You can
view the sample image that is produced at this address:
http://earth.usc.edu/ftp/kmilner/trans_test.png
Any ideas?
Thanks!
Kevin
#!/usr/bin/env python
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import numpy
dpi = 64
pixels = 256
fig = Figure(linewidth=0, frameon=False)
canvas = FigureCanvas(fig)
fig.figurePatch.set_alpha(0.0)
ax_bounds = [0, 0, 1, 1]
ax = fig.add_axes(ax_bounds, axisbg=(1.0,1.0,0.0,0.0),
frameon=False )
inches = pixels / dpi
fig.set_size_inches(256 / dpi, 256 / dpi)
num = 31
z = numpy.empty( (num, num) )
for x in xrange(num):
for y in xrange(num):
z[x, y] = x * y
x, y = numpy.meshgrid( range(num), range(num) )
image = ax.pcolor(x, y, z)
image = ax.contourf(x, y, z)
canvas.print_figure(/tmp/trans_test.png, dpi=dpi)
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