轴线演示

例如，使用plt.axes在主绘图轴中创建嵌入轴。

轴线演示图示

  1. import matplotlib.pyplot as plt
  2. import numpy as np
  4. # Fixing random state for reproducibility
  5. np.random.seed(19680801)
  8. # create some data to use for the plot
  9. dt = 0.001
  10. t = np.arange(0.0, 10.0, dt)
  11. r = np.exp(-t[:1000] / 0.05)  # impulse response
  12. x = np.random.randn(len(t))
  13. s = np.convolve(x, r)[:len(x)] * dt  # colored noise
  15. # the main axes is subplot(111) by default
  16. plt.plot(t, s)
  17. plt.axis([0, 1, 1.1 * np.min(s), 2 * np.max(s)])
  18. plt.xlabel('time (s)')
  19. plt.ylabel('current (nA)')
  20. plt.title('Gaussian colored noise')
  22. # this is an inset axes over the main axes
  23. a = plt.axes([.65, .6, .2, .2], facecolor='k')
  24. n, bins, patches = plt.hist(s, 400, density=True)
  25. plt.title('Probability')
  26. plt.xticks([])
  27. plt.yticks([])
  29. # this is another inset axes over the main axes
  30. a = plt.axes([0.2, 0.6, .2, .2], facecolor='k')
  31. plt.plot(t[:len(r)], r)
  32. plt.title('Impulse response')
  33. plt.xlim(0, 0.2)
  34. plt.xticks([])
  35. plt.yticks([])
  37. plt.show()

下载这个示例