Created
January 31, 2013 12:39
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Create a random palette in LAB space and convert to RGB. For easy use as a infinite colormap in matplotlib.
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# Create a random palette in LAB space and convert to RGB. | |
# For easy use as a infinite colormap in matplotlib. | |
# After an idea from @amueller and | |
# http://stackoverflow.com/questions/10254207/color-and-line-writing-using-matplotlib | |
import numpy as np | |
from colormath.color_objects import LabColor | |
def get_random_color(seed=3): | |
rstate = np.random.RandomState(seed) | |
while True: | |
# select colors which are neither too dark nor too bright | |
# whole range is 0:100 | |
lab_l = rstate.uniform(20, 80) | |
# I determined these limits empirically by converting random RGB | |
# coordinates to lab: | |
lab_a = rstate.uniform(-85, 100) | |
lab_b = rstate.uniform(-106, 92) | |
#col = [int(x) for x in colorsys.hsv_to_rgb(hue, 1.0, 230)] | |
col = LabColor(lab_l, lab_a, lab_b).convert_to("rgb", debug=False) | |
yield "#{0:02x}{1:02x}{2:02x}".format(col.rgb_r, col.rgb_g, col.rgb_b) | |
if __name__ == "__main__": | |
import matplotlib.pyplot as plt | |
x = 0.3 * np.arange(40) | |
for idx, c in zip(xrange(5), get_random_color()): | |
y = np.exp2(x + 0.5 * idx) | |
z = np.polyfit(x, y, 6) | |
p = np.poly1d(z) | |
plt.scatter(x, y, color=c, marker='o') | |
plt.plot(x, p(x), '-', color=c, label=str(idx)) | |
plt.legend() | |
plt.show() |
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