def Draw_ploy_points(vec):
    for pts_dict in vec:
        x_values = pts_dict['pts'][:,0] # .tolist()
        y_values = pts_dict['pts'][:,1]
		# 将点绘制在图上
        plt.scatter(x_values, y_values)	
		# 将点连起来
        plt.plot(x_values, y_values)
    plt.title("BEV", fontsize=24) 
    plt.xlabel("X", fontsize=14) 
    plt.ylabel("Y", fontsize=14)
    
    plt.show()

x_values

[-3.00000000e+01 -2.90000348e+01 -2.80000695e+01 -2.70001043e+01
 -2.60001391e+01 -2.50001739e+01 -2.40002086e+01 -2.30002434e+01
 -2.20002782e+01 -2.10003130e+01 -2.00003477e+01 -1.90003825e+01
 -1.80004173e+01 -1.70004521e+01 -1.60004868e+01 -1.50005216e+01
 -1.40005564e+01 -1.30005912e+01 -1.20007315e+01 -1.10013594e+01
 -1.00019874e+01 -9.00261542e+00 -8.00324340e+00 -7.00387139e+00
 -6.00449937e+00 -5.00512736e+00 -4.00575535e+00 -3.00638333e+00
 -2.00701132e+00 -1.00763930e+00 -8.26728918e-03  9.91104725e-01
  1.99047674e+00  2.98984875e+00  3.98922077e+00  4.98857657e+00
  5.98781256e+00  6.98704855e+00  7.98628454e+00  8.98552053e+00
  9.98475652e+00  1.09839925e+01  1.19832285e+01  1.29824645e+01
  1.39817005e+01  1.49809365e+01  1.59801725e+01  1.69794084e+01
  1.79781262e+01  1.89767803e+01  1.99754345e+01  2.09740886e+01
  2.19727427e+01  2.29713968e+01  2.39700510e+01  2.49687051e+01
  2.59673592e+01  2.69660134e+01  2.79646675e+01  2.89633216e+01
  2.99619757e+01]

y_values

[-10.14447545 -10.15281503 -10.1611546  -10.16949418 -10.17783376
 -10.18617333 -10.19451291 -10.20285249 -10.21119206 -10.21953164
 -10.22787121 -10.23621079 -10.24455037 -10.25288994 -10.26122952
 -10.2695691  -10.27790867 -10.28624825 -10.29940701 -10.33484114
 -10.37027526 -10.40570939 -10.44114351 -10.47657764 -10.51201177
 -10.54744589 -10.58288002 -10.61831414 -10.65374827 -10.68918239
 -10.72461652 -10.76005064 -10.79548477 -10.8309189  -10.86635302
 -10.90222185 -10.94130429 -10.98038673 -11.01946917 -11.05855161
 -11.09763405 -11.13671649 -11.17579893 -11.21488137 -11.25396381
 -11.29304626 -11.3321287  -11.37121114 -11.42167787 -11.47354245
 -11.52540702 -11.5772716  -11.62913617 -11.68100075 -11.73286533
 -11.7847299  -11.83659448 -11.88845905 -11.94032363 -11.9921882
 -12.04405278]