Matplotlib中如何实现3D图表

'''=================================3D表面与极坐标=================================演示绘制在极坐标中定义的曲面。使用YlGnBu color map反转版本.'''#导入Axes3D注册3D投影from mpl_toolkits.mplot3d import Axes3Dimport matplotlib.pyplot as pltimport numpy as np#定义子图表，添加3D投影fig = plt.figure()ax = fig.add_subplot(111, projection='3d')# 在极坐标中创建网格并计算相应的Z值.r = np.linspace(0, 1.25, 50)p = np.linspace(0, 2*np.pi, 50)R, P = np.meshgrid(r, p)Z = ((R**2 - 1)**2)#在笛卡尔系统中表示网格 X, Y = R*np.cos(P), R*np.sin(P)# 绘制表面.ax.plot_surface(X, Y, Z, \    cmap=plt.cm.YlGnBu_r)# 调整限制并添加数字标签ax.set_zlim(0, 1)ax.set_xlabel(r'$\phi_\mathrm{real}$')ax.set_ylabel(r'$\phi_\mathrm{im}$')ax.set_zlabel(r'$V(\phi)$')#表格展示plt.show()