光栅化演示

光栅化演示

  1. import numpy as np
  2. import matplotlib.pyplot as plt
  4. d = np.arange(100).reshape(10, 10)
  5. x, y = np.meshgrid(np.arange(11), np.arange(11))
  7. theta = 0.25*np.pi
  8. xx = x*np.cos(theta) - y*np.sin(theta)
  9. yy = x*np.sin(theta) + y*np.cos(theta)
  11. fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)
  12. ax1.set_aspect(1)
  13. ax1.pcolormesh(xx, yy, d)
  14. ax1.set_title("No Rasterization")
  16. ax2.set_aspect(1)
  17. ax2.set_title("Rasterization")
  19. m = ax2.pcolormesh(xx, yy, d)
  20. m.set_rasterized(True)
  22. ax3.set_aspect(1)
  23. ax3.pcolormesh(xx, yy, d)
  24. ax3.text(0.5, 0.5, "Text", alpha=0.2,
  25.          va="center", ha="center", size=50, transform=ax3.transAxes)
  27. ax3.set_title("No Rasterization")
  30. ax4.set_aspect(1)
  31. m = ax4.pcolormesh(xx, yy, d)
  32. m.set_zorder(-20)
  34. ax4.text(0.5, 0.5, "Text", alpha=0.2,
  35.          zorder=-15,
  36.          va="center", ha="center", size=50, transform=ax4.transAxes)
  38. ax4.set_rasterization_zorder(-10)
  40. ax4.set_title("Rasterization z$<-10$")
  43. # ax2.title.set_rasterized(True) # should display a warning
  45. plt.savefig("test_rasterization.pdf", dpi=150)
  46. plt.savefig("test_rasterization.eps", dpi=150)
  48. if not plt.rcParams["text.usetex"]:
  49.     plt.savefig("test_rasterization.svg", dpi=150)
  50.     # svg backend currently ignores the dpi

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