【543】pyplot 制图相关

参考：

参考：

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参考示例

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import matplotlib.pyplot as plt import numpy as np   fig = plt.figure() ax = fig.add_subplot(111)   plt.plot(np.array(range(len(areas)))/len(areas),             np.array(areas)/max(areas), linewidth=2,         label='Area')    x = np.arange(0, 1.1, 0.1) y1 = 1 - x y2 = 1 - threshold - x   plt.plot(x, y1, color='black', dashes=[8, 4], linewidth=0.5,         label='y=1-x') plt.plot(x, y2, color='red', dashes=[8, 4], linewidth=0.5,         label='y=(1-th)-x')    plt.xlim(0,1.1) plt.ylim(0,1.1)   plt.xlabel('Normalized area') plt.ylabel('Normalized step')   x0, y0 = 0.14814814814814814, 0.18350667259595277 x01, y01 = 0, 1 x02, y02 = 1, 0 plt.plot(x0, y0, 'om', color='black') plt.plot(x01, y01, 'om', color='black') plt.plot(x02, y02, 'om', color='black') plt.annotate('Pcut1', xy=(x0, y0), xytext=(x0+0.02, y0+0.02)) plt.annotate('P0', xy=(x01, y01), xytext=(x01+0.02, y01+0.02)) plt.annotate('Pn', xy=(x02, y02), xytext=(x02+0.02, y02+0.02))   ax.set_aspect('equal', adjustable='box')   plt.legend() plt.show()