Say I have a color in Matplotlib. Maybe it\'s a string (\'k\'
) or an rgb tuple ((0.5, 0.1, 0.8)
) or even some hex (#05FA2B
). Is there a
Here is a function from my gist to lighten any color that I think will work with any color format known to matplotlib
. I think setting an amount > 1 might darken too.
def lighten_color(color, amount=0.5):
"""
Lightens the given color by multiplying (1-luminosity) by the given amount.
Input can be matplotlib color string, hex string, or RGB tuple.
Examples:
>> lighten_color('g', 0.3)
>> lighten_color('#F034A3', 0.6)
>> lighten_color((.3,.55,.1), 0.5)
"""
import matplotlib.colors as mc
import colorsys
try:
c = mc.cnames[color]
except:
c = color
c = colorsys.rgb_to_hls(*mc.to_rgb(c))
return colorsys.hls_to_rgb(c[0], 1 - amount * (1 - c[1]), c[2])
EDIT: Indeed, it does darken as well as lighten:
import matplotlib.pyplot as plt
import numpy as np
xs = np.linspace(-1, 1, 100)
plt.plot(xs, 0 * xs, color='b', lw=3)
plt.plot(xs, xs**2, color=lighten_color('b', 0.4), lw=3)
plt.plot(xs, -xs**2, color=lighten_color('b', 1.6), lw=3)
Edit 2: Removed un-needed numpy dependency in the function.
Edit 3: Function modified with improvements from @FLekschas
def adjust_lightness(color, amount=0.5):
import matplotlib.colors as mc
import colorsys
try:
c = mc.cnames[color]
except:
c = color
c = colorsys.rgb_to_hls(*mc.to_rgb(c))
return colorsys.hls_to_rgb(c[0], max(0, min(1, amount * c[1])), c[2])