2d hsv color space in matplotlib

matplotlib, numpy, python

Solution

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:

Problem

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

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