On Wed, Oct 27, 2010 at 10:36 PM, Matthieu Huin
<matthieu.h...@wallix.com> wrote:
> Anyone knows of a comprehensive doc or tutorial on that subject ?
Unfortunately there is no such things as far as I know.
The agg_filter itself has relatively simple api (from the
documentation of backend_agg.stop_filter).
"""
Save the plot in the current canvas as a image and apply
the *post_processing* function.
def post_processing(image, dpi):
# ny, nx, depth = image.shape
# image (numpy array) has RGBA channels and has a depth of 4.
...
# create a new_image (numpy array of 4 channels, size can be
# different). The resulting image may have offsets from
# lower-left corner of the original image
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.
"""
So, any callable object with above api can be used as a filter. And
the classes in the above example describes just one way to create such
filters.
The agg_filter functionality is a very experimental feature. While I
contributed the example code, I myself rarely use this feature. And
I'm afraid that I may not be able to find enough time to maintain
and/or improve the code.
Regards,
-JJ
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