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import random | |
def get_random_color(pastel_factor = 0.5): | |
return [(x+pastel_factor)/(1.0+pastel_factor) for x in [random.uniform(0,1.0) for i in [1,2,3]]] | |
def color_distance(c1,c2): | |
return sum([abs(x[0]-x[1]) for x in zip(c1,c2)]) | |
def generate_new_color(existing_colors,pastel_factor = 0.5): | |
max_distance = None | |
best_color = None | |
for i in range(0,100): | |
color = get_random_color(pastel_factor = pastel_factor) | |
if not existing_colors: | |
return color | |
best_distance = min([color_distance(color,c) for c in existing_colors]) | |
if not max_distance or best_distance > max_distance: | |
max_distance = best_distance | |
best_color = color | |
return best_color | |
#Example: | |
if __name__ == '__main__': | |
#To make your color choice reproducible, uncomment the following line: | |
#random.seed(10) | |
colors = [] | |
for i in range(0,10): | |
colors.append(generate_new_color(colors),pastel_factor = 0.9) | |
print "Your colors:",colors |
What kind of colors does this generate and how could we convert them to hex? 🤔
I believe you get RGB colors. I recommend python-colormath for conversion.
One thing to consider is that there is always the background colour of the plot which is very important a line should not be equal to!
Hi,
This solution works really well, much appreciated. I've taken the liberty to include it in my project concerned with analyzing cardiac action potentials, credited in the readme and in comments as The color generator script has been originally written by Andreas Dewes: https://gist.github.com/adewes/5884820
With a stable release on the horizon, I would like to ask if this is okay with you.
Hi @thomashastings, this code is public domain so you can freely reuse it, no attribution necessary!
Thank you for the clarification!
What kind of colors does this generate and how could we convert them to hex? 🤔