imshow with PS backend

My second problem involved the resolutions of the image. I'd

    > like to preserve the resolution of my image in the PS output,
    > but I can't figure out how to stop the image being resized
    > and interpolated. Obviously you need to do this for the

There are two kinds of images in matplotlib -- AxesImage and
FigureImage. By definition, the AxesImage is interpolated to fit into
the Axes box. You can control the aspect ratio of the interpolation,
but it will be interpolated. FigureImage, on the other hand, performs
a pixel dump to the postscript canvas at the location you tell it to
-- see examples/figimage_demo.py. It should like you are more
interested in the latter.

If the figure image doesn't work for you, describe your use-case in
some detail and why neither work and we'll see if we can accommodate
it.

JDH

There are two kinds of images in matplotlib -- AxesImage and
FigureImage. By definition, the AxesImage is interpolated to fit into
the Axes box. You can control the aspect ratio of the interpolation,
but it will be interpolated. FigureImage, on the other hand, performs
a pixel dump to the postscript canvas at the location you tell it to
-- see examples/figimage_demo.py. It should like you are more
interested in the latter.

I've had a play with FigureImage and I can't see how to make it draw
the image inside the axes, it seems to only draw it in the background.

If the figure image doesn't work for you, describe your use-case in
some detail and why neither work and we'll see if we can accommodate
it.

OK, so imshow does exactly what I want. The only problem is the
resampling. Each pixel represents a value calculated at a point on a
318x301 grid, so in resampling I loose or distort some of the fine
detail. I do not understand why the image need to be resampled when
using a vector based backend. I understand this is necessary for a
raster backend, but surely with a vector backend you can just scale
the image keeping the 318x301 resolution. I know this is possible in
Postscript at least as I've produced the desired output by
amalgamating two files. See

http://jimmacdonald.co.uk/matplotlib/image_CORRECT_ps_hacked.eps

I looked at using pcolor instead, but the postscript files where too
big (~20MB) due to the large number of tiles (this is how I used to do
it in matlab).

JIM

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