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2d hsv color space in matplotlib

I'm trying to reproduce this graph in matplotlib (taken from wikipedia)

enter image description here

basically a 2d hsv color space where saturation is set to 1.0. here's what I have done so far

from pylab import *
from numpy import outer

x = outer(arange(0, 1, 0.01), ones(100))

imshow(transpose(x), cmap=cm.hsv)
show()

this plots the hue channel but I don't know how to add a second channel.

like image 598
none Avatar asked May 28 '12 15:05

none


1 Answers

You need to create the HSV array and convert it to RGB, here is an example:

import numpy as np
import pylab as pl
from matplotlib.colors import hsv_to_rgb

V, H = np.mgrid[0:1:100j, 0:1:300j]
S = np.ones_like(V)
HSV = np.dstack((H,S,V))
RGB = hsv_to_rgb(HSV)
pl.imshow(RGB, origin="lower", extent=[0, 360, 0, 1], aspect=150)
pl.xlabel("H")
pl.ylabel("V")
pl.title("$S_{HSV}=1$")
pl.show()

the output is:

enter image description here

like image 96
HYRY Avatar answered Oct 10 '22 05:10

HYRY