使matplotlib中的颜色变暗或变亮

问题描述

说我在Matplotlib中有一种颜色。也许是字符串（'k'）或rgb元组（（0.5，0.1，0.8））甚至一些十六进制（＃05FA2B ）。 Matplotlib中是否有命令/便捷功能，该功能可使我加深（或变浅）该颜色。

即是否有 matplotlib.pyplot.darken（c，0.1）或类似的东西？我想我想要的是在幕后将某种颜色进行着色，将其转换为HSL，然后将L值乘以某个给定的因子（以0为底，以1为上限），或明确设置L值返回给定值并返回修改后的颜色。

解决方案

这是

编辑2：删除了函数中不需要的numpy依赖项。

编辑3：通过@FLekschas的改进而修改的功能

  def Adjust_lightness（color ，金额= 0.5）：
导入matplotlib.colors作为mc 
导入colorsys 
试试：
c = mc.cnames [color] 
除外：
c = color 
c = colorsys.rgb_to_hls（* mc.to_rgb（c））
返回colorsys.hls_to_rgb（c [0]，max（0，min（1，数量* c [1]）），c [2]）
  

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 command / convenience function in Matplotlib that would allow me to darken (or lighten) that color.

I.e. is there matplotlib.pyplot.darken(c, 0.1) or something like that? I guess what I'm hoping for is something that, behind the scenes, would take a color, convert it to HSL, then either multiply the L value by some given factor (flooring at 0 and capping at 1) or explicitly set the L value to a given value and return the modified color.

解决方案

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])

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