import matplotlib.pyplot as plt import numpy as np

数据

p6_unbalanced = [2.3, 3.4, 4.5, 5.6] p6_balanced = [1.5, 2.6, 3.7, 4.8] p7_unbalanced = [2.1, 3.2, 4.3, 5.4] p7_balanced = [1.4, 2.5, 3.6, 4.7] p8_unbalanced = [2.0, 3.1, 4.2, 5.3] p8_balanced = [1.3, 2.4, 3.5, 4.6]

指标名称

labels = ['Delivery Cost', 'Customer Utility', 'Compactness', 'Vehicle Number']

构造雷达图

angles = np.linspace(0, 2*np.pi, len(labels), endpoint=False) angles = np.concatenate((angles, [angles[0]])) fig = plt.figure() ax = fig.add_subplot(111, polar=True) ax.set_theta_offset(np.pi/2) ax.set_theta_direction(-1) ax.set_rlabel_position(0) ax.plot(angles, p6_unbalanced, 'o-', linewidth=2, label='P=6 unbalanced') ax.fill(angles, p6_unbalanced, alpha=0.25) ax.plot(angles, p6_balanced, 'o-', linewidth=2, label='P=6 balanced') ax.fill(angles, p6_balanced, alpha=0.25) ax.plot(angles, p7_unbalanced, 'o-', linewidth=2, label='P=7 unbalanced') ax.fill(angles, p7_unbalanced, alpha=0.25) ax.plot(angles, p7_balanced, 'o-', linewidth=2, label='P=7 balanced') ax.fill(angles, p7_balanced, alpha=0.25) ax.plot(angles, p8_unbalanced, 'o-', linewidth=2, label='P=8 unbalanced') ax.fill(angles, p8_unbalanced, alpha=0.25) ax.plot(angles, p8_balanced, 'o-', linewidth=2, label='P=8 balanced') ax.fill(angles, p8_balanced, alpha=0.25) ax.set_thetagrids(angles * 180/np.pi, labels) ax.legend(loc='best')

显示图形

plt.show(