在rcParams中实现了对prop_cycle属性markevery的支持
此示例演示了一个发布 #8576 的工作解决方案，通过rcParams为axes.prop_cycle分配提供对markevery属性的完全支持。从markevery演示中使用相同的markevery案例列表。
使用每列的移位正弦曲线渲染绘图，每个正弦曲线都有一个唯一的市场价值。
from cycler import cycler
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
# Define a list of markevery cases and color cases to plot
cases = [None,
8,
(30, 8),
[16, 24, 30],
[0, -1],
slice(100, 200, 3),
0.1,
0.3,
1.5,
(0.0, 0.1),
(0.45, 0.1)]
colors = ['#1f77b4',
'#ff7f0e',
'#2ca02c',
'#d62728',
'#9467bd',
'#8c564b',
'#e377c2',
'#7f7f7f',
'#bcbd22',
'#17becf',
'#1a55FF']
# Configure rcParams axes.prop_cycle to simultaneously cycle cases and colors.
mpl.rcParams['axes.prop_cycle'] = cycler(markevery=cases, color=colors)
# Create data points and offsets
x = np.linspace(0, 2 * np.pi)
offsets = np.linspace(0, 2 * np.pi, 11, endpoint=False)
yy = np.transpose([np.sin(x + phi) for phi in offsets])
# Set the plot curve with markers and a title
fig = plt.figure()
ax = fig.add_axes([0.1, 0.1, 0.6, 0.75])
for i in range(len(cases)):
ax.plot(yy[:, i], marker='o', label=str(cases[i]))
ax.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)
plt.title('Support for axes.prop_cycle cycler with markevery')
plt.show()