Código de gráfico avanzado de pérdida de dibujo de red neuronal de Python

def draw_loss(X,Y,Z):
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    # X, Y, Z = axes3d.get_test_data(0.05)####
    # Grab some test data.

    surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
                           linewidth=0, antialiased=False)

    # Customize the z axis.
    #ax.set_zlim(-1.01, 1.01)
    ax.zaxis.set_major_locator(LinearLocator(10))
    ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))

    # Add a color bar which maps values to colors.
    fig.colorbar(surf, shrink=0.5, aspect=5)

    plt.show()

def cal_Z(C, L):
    # C,L 转为 S，E
    # SE计算对应的iou
    S,E = CL2XY(C,L)

    DIoU = cal_diou(S,E)
    return 1-DIoU

c = np.arange(0.0, 1.0, 0.02)
l = np.arange(0.0, 1.0, 0.02)
C,L = np.meshgrid(c,l)

Z = cal_Z(C,L)
draw_loss(C,L,Z)