Matplotlib set\u color\u cycle与set\u prop\u cycles

set_color_cycle :

ax.set_color_cycle([plt.cm.spectral(i) for i in np.linspace(0, 1, num_lines)])

但是,最近我看到一个警告:

MatplotlibDeprecationWarning: 
The set_color_cycle attribute was deprecated in version 1.5. 
Use set_prop_cycle instead.

set_prop_cycle ,我可以达到同样的结果,但我需要 import cycler ,语法不那么紧凑:

from cycler import cycler
colors = [plt.cm.spectral(i) for i in np.linspace(0, 1, num_lines)]
ax.set_prop_cycle(cycler('color', colors))

我正在使用 正确地(以最有效的方式?)

有没有更简单的方法将颜色循环设置为颜色映射?换句话说,有没有像这样的神秘功能?

ax.set_colorcycle_to_colormap('jet', nlines=30)

import numpy as np
import matplotlib.pyplot as plt

ax = plt.subplot(111)
num_lines = 30

colors = [plt.cm.spectral(i) for i in np.linspace(0, 1, num_lines)]

# old way: 
ax.set_color_cycle(colors)

# new way:
from cycler import cycler
ax.set_prop_cycle(cycler('color', colors))

for n in range(num_lines):
    x = np.linspace(0,10,500)
    y = np.sin(x)+n
    ax.plot(x, y, lw=3)

plt.show()