用cycler定型

演示自定义特性-循环设置以控制多行绘制的颜色和其他样式特性。

此示例演示了两种不同的API：

  1. from cycler import cycler
  2. import numpy as np
  3. import matplotlib.pyplot as plt
  6. x = np.linspace(0, 2 * np.pi)
  7. offsets = np.linspace(0, 2*np.pi, 4, endpoint=False)
  8. # Create array with shifted-sine curve along each column
  9. yy = np.transpose([np.sin(x + phi) for phi in offsets])
  11. # 1. Setting prop cycle on default rc parameter
  12. plt.rc('lines', linewidth=4)
  13. plt.rc('axes', prop_cycle=(cycler(color=['r', 'g', 'b', 'y']) +
  14.                            cycler(linestyle=['-', '--', ':', '-.'])))
  15. fig, (ax0, ax1) = plt.subplots(nrows=2, constrained_layout=True)
  16. ax0.plot(yy)
  17. ax0.set_title('Set default color cycle to rgby')
  19. # 2. Define prop cycle for single set of axes
  20. #    For the most general use-case, you can provide a cycler to
  21. #    `.set_prop_cycle`.
  22. #    Here, we use the convenient shortcut that we can alternatively pass
  23. #    one or more properties as keyword arguements. This creates and sets
  24. #    a cycler iterating simultaneously over all properties.
  25. ax1.set_prop_cycle(color=['c', 'm', 'y', 'k'], lw=[1, 2, 3, 4])
  26. ax1.plot(yy)
  27. ax1.set_title('Set axes color cycle to cmyk')
  29. plt.show()

cycler定型示例

参考

此示例中显示了以下函数，方法，类和模块的使用：

  1. import matplotlib
  2. matplotlib.axes.Axes.plot
  3. matplotlib.axes.Axes.set_prop_cycle

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