toothpaste_plot.py

# I like using seaborn, but of course you can also just use this as a set of colours. 

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

# from seaborn docs
def sinplot(flip=1):
    x = np.linspace(0, 14, 100)
    for i in range(1, 7):
        plt.plot(x, np.sin(x + i * .5) * (7 - i) * flip)



toothpasteColors = {
"gray":"#C5C5C0",   
"blue-gray-light":  "#DAE3E8",
"blue-gray-dark":   "#465E68",
"blue-gray-darkest":"#222E33",
"yellow-light":     "#DBCD7F",
"yellow":           "#49483E",
"yellow-dark":      "#3E3D32",
"yellow-darkest":   "#3B3A32",
"blue-light":       "#96CBFE",
"blue":             "#769EB3",
"cyan":             "#73B3C0",
"green-light":      "#A8FF60",
"green":            "#9DC777",
"green-dark":       "#97B853",
#"green-translucent":rgba(111, 191, 111, 0.83), <-- left out for simplicity
"orange":           "#E9C062",
"orange-dark":      "#C88E4B",
"red-light":        "#E36868",
"red":              "#CC6666",
"magenta":          "#C5487A",
"purple":           "#9B82C9"
}

np.random.seed(666)
toothpaste = np.random.shuffle([toothpasteColors[k] for k in toothpasteColors])

sns.set_palette(sns.color_palette(toothpaste))
sinplot()

plt.savefig('toothpaste.png')