Hi,
I can figure the first steps :
something like :
matrix = []
buffer = self.get_renderer().tostring_argb()
l, h = self.GetSize()
for ligne in xrange(h):
matrix.append([])
for colonne in xrange(l):
i = 4*(ligne*h + colonne)
pixel = buffer[i:i+4]
matrix[-1].append(pixel)
zone_to_export = array(matrix)[pixely0:pixely1, pixelx0:pixelx1]
new_buffer = buffer("".join("".join(elt for elt in ligne) for
ligne in zone_to_export ))
But then I don't know what to with this new buffer.
I tried to create a new RenderAgg instance, so as to use its png export
facilities.
r = RendererAgg(pixelx1 - pixelx0, pixely1 - pixely0, Value(dpi))
...
r._renderer.write_png(nom)
But I don't know what to put between the two previous lines.
How may I load a buffer content into a RenderAgg instance ?
I suppose I may use something like :
r.draw_image(0, 0, im)
but what is the correct format for im ? Is there an Image class in
matplotlib (I looked for, but didn't find).
How may I convert my buffer ?
Thanks a lot,
Nicolas
How may I transform my buffer into an image ?
On 6/28/07, John Hunter <[EMAIL PROTECTED]> wrote:
On 6/28/07, Nicolas <[EMAIL PROTECTED]> wrote:
> Thanks for your reply.
>
> However, I don't want to had a PIL dependency.
>
> Is there any other method, using only matplotlib or wx ?
agg offers methods to convert the image pixel buffer to strings or
buffers, which you could then convert to numpy arrays, so a slice
extraction, and reconvert back to a buffer and ultimately a PNG. I
don't have time right now to write some example code, but you may want
to poke around in backend_agg to see if you can figure it out, and if
not remind me next week.
Thanks,
JDH
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