在测量链中，嵌入各种测量回路中的每个仪器将记录CSV，我想在单独的图中监控实时图，即图1为仪器1，图2为仪器2 ......等。我尝试实现动画，但没有任何东西输出。csv连续生成数据。
我首先在CSV中生成数据，然后我尝试绘制2个动画并行：我得到了图2的动画，但第一个是冻结。任何帮助感谢。

import pandas as pd
from matplotlib import pyplot as plt
from matplotlib import animation

# making figures
def makeFigure():
    df = pd.read_csv('data.csv')
    data = pd.DataFrame(df)
    x = data['current']
    y1 = data['resistance']
    y2 = data['voltage']
    fig=plt.figure()
    ax=fig.add_subplot(1,1,1)
    # # Plot 1 set of data
    dataset =ax.plot(x,y1)
    return fig,ax,dataset

# Frame rendering function
def renderFrame(i, dataset):
    df = pd.read_csv('data.csv')
    data = pd.DataFrame(df)
    x = data['current']
    y1 = data['resistance']
    y2 = data['voltage']
    # Plot data
    plt.cla()
    dataset, =ax.plot(x,y2)
   
    return dataset

# Make the figures
figcomps1=makeFigure()
figcomps2=makeFigure()

# List of Animation objects for tracking
anim = []

# Animate the figures
for figcomps in [figcomps1,figcomps2]:
    fig,ax,dataset = figcomps
    anim.append(animation.FuncAnimation(fig,renderFrame,fargs=[dataset]))
# plt.gcf()
plt.show()