This is now implemented in Color.jl; not tagged yet, but you can of course
do Pkg.checkout(Color)
Fun thing to try:
using Interact, Color
@manipulate for m = 1:50, n = 1:100
RGB[RGB(i/m,j/n,0) for i=1:m, j=1:n]
end
On Monday, June 9, 2014 2:07:22 PM UTC-4, Stefan Karpinski wrote:
That
wow, that Interact package is interesting... I guess I'll have to start
using IJulia then. I'm still stuck with a Vim session and a Julia terminal.
I tried the checkout version of Color, and it's the same (see attached),
i.e. wrong: the blues should be close to the 400 mark and the reds closer
to
Oh sorry, I vaguely mentioned it in my first reply.
The short answer is:
using Color,Images
n = 500
wl1 = 380.
wl2 = 780.
wl = linspace(wl1,wl2,n)
I = Array(Float64,n,n,3)
for i = 1:n
xyz = colormatch(wl[i])
rgb = convert(RGB,xyz)
for (j,f) in enumerate([:r,:g,:b])
I[i,:,j] =
I looked into xcolor, and the color matching function they implement is
only a rough approximation (page 55 of the xcolor manual), whereas Color.jl
actually matches wavelengths to the CIE standard observer measurements. In
this case, I think Color is more correct. Here's someone else's plot
Stand corrected. See attached image for a comparison between the three
scales we've discussed. The one in the background is the Julia one, the one
on the bottom is the one you showed from Wikipedia, and the one on top is
the one from xcolor. You can see that the point where Julia disagrees
most
This is really cool.
It looks like there are still some issues with syntax highlighting in these
notebooks (breaking on triple quoted strings, highlighting unicode
characters as errors for example) but this situation should improve greatly
once my CodeMirror mode is ready for IJulia.
On
