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Hi everyone,
Over the past week or so I have been working on what I now dub MEP27
<https://github.com/matplotlib/matplotlib/wiki/MEP27> . I have already
gotten quite far with it, but as I do some hefty changes (no breakages, and
virtually 100% backward compatible) I wanted to make sure I got some input
before continuing. I have now gotten far enough to know that the base code
should work without any more tweaking.
Best,
OceanWolf
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Hi Pierre,
Could you please elaborate a bit on this
> usecase. I was thinking, naively, that when plotting a grayscale image,
> one would simply used a gray colormap.
>
Using a colormap with hue and saturation gives you better contrast than
pure grayscale. For natural images, that is, photographs of human-scale
objects, indeed grayscale is a good choice, because that is how we are used
to looking at those images. But for looking at physical quantities, for
example, using a colormap with hue and saturation as well as lightness is
useful. Here are some examples:
http://www.gnuplotting.org/color-maps-from-colorbrewer/
https://www.mrao.cam.ac.uk/~dag/CUBEHELIX/
See also a "boundary probability map" for a natural image here (panel B,
top right):
http://www.frontiersin.org/files/Articles/74212/fninf-08-00034-r2/image_m/fninf-08-00034-g001.jpg
Having the colormap makes it easier to place the intermediate levels of the
probability map.
Again, restricting the lightness range for these maps would be problematic,
to say the least.
Juan.
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Hi,
Le 01/03/2015 23:27, jni a écrit :
> As someone working with images, I think for displaying images you want a
> colormap that spans as much as possible of the luminance range. The colormap
> suggested by Michael Waskom would be quite perfect as-is. (recap: middle
> colormap here:
> http://earthobservatory.nasa.gov/blogs/elegantfigures/files/2013/08/three_perceptual_palettes_618.png)
>
Thanks for this feedback. Could you please elaborate a bit on this
usecase. I was thinking, naively, that when plotting a grayscale image,
one would simply used a gray colormap. Do you have some examples to
illustrate what kind of results you are expecting ?
best,
Pierre