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。

markevery支持1

  1. from cycler import cycler
  2. import numpy as np
  3. import matplotlib as mpl
  4. import matplotlib.pyplot as plt
  6. # Define a list of markevery cases and color cases to plot
  7. cases = [None,
  8.          8,
  9.          (30, 8),
  10.          [16, 24, 30],
  11.          [0, -1],
  12.          slice(100, 200, 3),
  13.          0.1,
  14.          0.3,
  15.          1.5,
  16.          (0.0, 0.1),
  17.          (0.45, 0.1)]
  19. colors = ['#1f77b4',
  20.           '#ff7f0e',
  21.           '#2ca02c',
  22.           '#d62728',
  23.           '#9467bd',
  24.           '#8c564b',
  25.           '#e377c2',
  26.           '#7f7f7f',
  27.           '#bcbd22',
  28.           '#17becf',
  29.           '#1a55FF']
  31. # Configure rcParams axes.prop_cycle to simultaneously cycle cases and colors.
  32. mpl.rcParams['axes.prop_cycle'] = cycler(markevery=cases, color=colors)
  34. # Create data points and offsets
  35. x = np.linspace(0, 2 * np.pi)
  36. offsets = np.linspace(0, 2 * np.pi, 11, endpoint=False)
  37. yy = np.transpose([np.sin(x + phi) for phi in offsets])
  39. # Set the plot curve with markers and a title
  40. fig = plt.figure()
  41. ax = fig.add_axes([0.1, 0.1, 0.6, 0.75])
  43. for i in range(len(cases)):
  44.     ax.plot(yy[:, i], marker='o', label=str(cases[i]))
  45.     ax.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)
  47. plt.title('Support for axes.prop_cycle cycler with markevery')
  49. plt.show()

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