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)
>> --
>> View this message in context: 
>> http://www.nabble.com/Leftmost-column-of-PNG-output-is-transparent-tp22669232p22669232.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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