python jupyter notebook アニメーションのループをしたい

こんにちは。
現在、下記のプログラムでjupyterにてそれぞれ線で繋がった7つの点が動くアニメーションを作成しています。

%matplotlib notebook
%matplotlib nbagg
import mpl_toolkits.mplot3d as plt3d
from mpl_toolkits.mplot3d import Axes3D 
import matplotlib.pyplot as plt 
import matplotlib.animation as animation
from IPython.display import HTML
import numpy as np

def init():
    ax.set_xlim(-10,10)
    ax.set_ylim(-10,10)
    ax.set_zlim(-10,10)
    ax.set_xlabel("x")
    ax.set_ylabel("y")
    ax.set_zlabel("z")
    ax.set_aspect('equal')

    return lines1,lines2,lines3,lines4,lines5,lines6,lines7

x1,y1,z1 = [],[],[]
x2,y2,z2 = [],[],[]
x3,y3,z3 = [],[],[]
x4,y4,z4 = [],[],[]
x5,y5,z5 = [],[],[]
x6,y6,z6 = [],[],[]
x7,y7,z7 = [],[],[]

x1=[1,8,3,6,3,6,4]
y1=[9,1,5,3,7,3,8]
z1=[0,2,5,7,1,0,5]

x2=[-1,-8,-3,-6,-3,-6,-4]
y2=[-9,-1,-5,-3,-7,-3,-8]
z2=[1,3,1,2,4,2,4]

x3=[6,8,3,0,7,1,2]
y3=[1,5,6,4,7,0,8]
z3=[2,2,4,4,0,0,7]

x4=[9,6,-8,0,0,3,2]
y4=[3,0,9,5,7,4,8]
z4=[5,3,8,2,7,3,8]

x5=[0,4,2,8,7,3,3]
y5=[2,5,8,2,5,2,1]
z5=[1,0,2,8,2,7,1]

x6=[4,6,2,5,2,5,9]
y6=[2,6,3,6,4,4,2]
z6=[6,6,2,7,8,3,2]

x7=[2,3,9,3,8,3,6]
y7=[3,6,3,3,2,6,8]
z7=[9,3,0,6,4,6,7]

def update_lines(num,data1,data2,data3,data4,data5,data6,data7,lines1,lines2,lines3,lines4,lines5,lines6,lines7,points1,points2, points3,points4,points5, points6,points7,datx,daty,datz,lines_p2p1,lines_p2p2):

    for dat1,dat2,dat3,dat4,dat5,dat6,dat7,line1,line2,line3,line4,line5,line6,line7,point1,point2, point3,point4,point5, point6,point7 in zip(data1,data2,data3,data4,data5,data6,data7,lines1,lines2,lines3,lines4,lines5,lines6,lines7,points1,points2, points3,points4,points5, points6,points7):
        point1.set_data(dat1[0:2, num+1])
        point1.set_3d_properties(dat1[2, num+1])
        point2.set_data(dat2[0:2, num+1])
        point2.set_3d_properties(dat2[2, num+1])
        point3.set_data(dat3[0:2, num+1])
        point3.set_3d_properties(dat3[2, num+1])
        point4.set_data(dat4[0:2, num+1])
        point4.set_3d_properties(dat4[2, num+1])
        point5.set_data(dat5[0:2, num+1])
        point5.set_3d_properties(dat5[2, num+1])
        point6.set_data(dat6[0:2, num+1])
        point6.set_3d_properties(dat6[2, num+1])
        point7.set_data(dat7[0:2, num+1])
        point7.set_3d_properties(dat7[2, num+1])
        
    lines_p2p1[num].remove()
    lines_p2p2[num].remove()

    lines_p2p1[num+1],=ax.plot(datx[0,:5,num+1], daty[0,:5,num+1], datz[0,:5,num+1],color='red')
    lines_p2p2[num+1],=ax.plot(datx[0,5:,num+1], daty[0,5:,num+1], datz[0,5:,num+1],color='blue')

    return lines1,lines2,lines3,lines4,lines5,lines6,lines7

fig = plt.figure()
ax = fig.gca(projection='3d')

t = np.linspace(-3, 2, 30)
z = np.linspace(-3, 2, 30)
r = np.linspace(-3, 2, 30)

x1, y1, z1 = x1, y1, z1
x2, y2, z2 = x2, y2, z2
x3, y3, z3 = x3, y3, z3
x4, y4, z4 = x4, y4, z4
x5, y5, z5 = x5, y5, z5
x6, y6, z6 = x6, y6, z6
x7, y7, z7 = x7, y7, z7

data1 = np.array([[x1,y1,z1]])
data2 = np.array([[x2,y2,z2]])
data3 = np.array([[x3,y3,z3]])
data4 = np.array([[x4,y4,z4]])
data5 = np.array([[x5,y5,z5]])
data6 = np.array([[x6,y6,z6]])
data7 = np.array([[x7,y7,z7]])

lines1=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data1]
lines2=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data2]
lines3=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data3]
lines4=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data4]
lines5=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data5]
lines6=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data6]
lines7=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1] )[0] for dat in data7]

points1=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data1]
points2=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data2]
points3=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data3]
points4=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data4]
points5=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data5]
points6=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data6]
points7=[ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1], 'o-')[0] for dat in data7]

datx=np.array([[data1[0,0],data2[0,0],data3[0,0],data4[0,0],data5[0,0],data6[0,0],data7[0,0]]])
daty=np.array([[data1[0,1],data2[0,1],data3[0,1],data4[0,1],data5[0,1],data6[0,1],data7[0,1]]])
datz=np.array([[data1[0,2],data2[0,2],data3[0,2],data4[0,2],data5[0,2],data6[0,2],data7[0,2]]])

lines_p2p1=[0]*7
lines_p2p2=[0]*7

lines_p2p1[0],=ax.plot(datx[0,:5,0], daty[0,:5,0], datz[0,:5,0],color='red')
lines_p2p2[0],=ax.plot(datx[0,5:,0], daty[0,5:,0], datz[0,5:,0],color='blue')

line_ani = animation.FuncAnimation(fig, update_lines, 172, fargs=(data1,data2,data3,data4,data5,data6,data7,lines1,lines2,lines3,lines4,lines5,lines6,lines7,points1,points2, points3,points4,points5, points6,points7,datx,daty,datz,lines_p2p1,lines_p2p2),
                                   interval=1000, init_func=init, blit=True, repeat=True,)