使用多处理在python中设置matplotlib.animate

我正在尝试使用python进程为绘图设置动画，如下所示：

from multiprocessing import Process
import datetime as dt
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np

process_enabled = 1;
print("Process enabled: ", process_enabled)

x = []
y = []
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)        

def start_animation():
                 
   # Set up plot to call animate() function periodically   
   ani = animation.FuncAnimation(fig, animate, fargs=(x, y), interval=1000)
   print("Called animate function")
   plt.show()   
   
# This function is called periodically from FuncAnimation
def animate(i, xs, ys):
    
   fx=[0.045,0.02,0.0,0.04,0.015,-0.01,0.015,0.045,0.035,0.01,
        0.055,0.04,0.02,0.025,0.0,-0.005,-0.005,-0.02,-0.05,-0.03] # fx values        
    
   # Add x and y to lists
   xs.append(dt.datetime.now().strftime('%H:%M:%S.%f'))
   if(i<len(fx)):                     
      ys.append(fx[i])             

   # Draw x and y lists
   ax.clear()
   if(i<len(fx)):   
      ys_stacked = np.stack((np.array(ys),0.1+np.array(ys)),axis=1)
      ax.plot(xs, ys_stacked)
      
   print("Animating")      

   # Format plot
   if(i<len(fx)):
      plt.xticks(rotation=45, ha='right')
      plt.subplots_adjust(bottom=0.30)
      plt.title('Force/Torque Sensor Data')
      plt.ylabel('Fx (N)')    

if(process_enabled):
    
   p_graph = Process(name='Graph', target=start_animation)
   print("Created graph process")

   p_graph.start()
   print("Started graph process")           
   
else:   

   start_animation()

来自多处理导入进程的

将日期时间导入为dt
将matplotlib.pyplot作为plt导入
将matplotlib.animation导入为动画
将numpy作为np导入
进程_enabled=1；
打印（“已启用流程：”，已启用流程）
x=[]
y=[]
图=plt.图（）
ax=图添加子批次（1,1,1）
def start_动画（）：
#设置绘图以定期调用animate（）函数
ani=animation.FuncAnimation（图，animate，fargs=（x，y），间隔=1000）
打印（“称为动画功能”）
plt.show（）
#从FuncAnimation定期调用此函数
定义动画（i、xs、ys）：
fx=[0.045,0.02,0.0,0.04,0.015，-0.01,0.015,0.045,0.035,0.01，
0.055,0.04,0.02,0.025,0.0，-0.005，-0.005，-0.02，-0.05，-0.03]#fx值
#将x和y添加到列表中
追加（dt.datetime.now（）.strftime（“%H:%M:%S.%f”））
如果（i）