Matplotlib中使用set_xdata/set_ydata更新图表无显示问题求助

我尝试用set_xdata/set_ydata来显示传感器数据，而不是每次调用plot，这样能让图表刷新更快。我找了相关教程来实现，但现在遇到了问题：图表上什么都不显示。原本用ax1.plot的方式是可以正常显示数据的，换成更新数据的方法后就不行了。

我已经用pprint输出了实时生成的数据，能看到数据确实在正常更新，但就是不显示在图上。请问我到底漏掉了什么步骤？

附上我的代码：

import pprint
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import time
from matplotlib.widgets import Button  # Import Button

fig,ax1 = plt.subplots(figsize=(10, 8))

# Initialize the plot lines with some dummy data
line1, = ax1.plot([0], [0], label="LEFT", color="gray")
line2, = ax1.plot([0], [0], label="RIGHT", color="gray")
line3, = ax1.plot([0], [0], label="LEFT smoothed", color="red")
line4, = ax1.plot([0], [0], label="RIGHT smoothed", color="green")

plt.title("Phil VL53L0X sensors", fontsize=20)
 
# setting x-axis label and y-axis label
plt.xlabel("time")
plt.ylabel("distance")

xarr = []
yarr1 = []
yarr2 = []
yarr1_s = []
yarr2_s = []
count = 0

WINDOW_SIZE = 10
MIN_DISTANCE = 20

# Create the button to clear data
def clear_data(event):
    global xarr, yarr1, yarr2, count, yarr1_s, yarr2_s
    xarr.clear()
    yarr1.clear()
    yarr2.clear()
    yarr1_s.clear()
    yarr2_s.clear()
    count = 0
    ax1.clear()
    ax1.set_xlabel("Time")
    ax1.set_ylabel("Distance (mm)")
    ax1.legend()
    plt.draw()

def animate(i):
    global count

    # faking data, this is usually read by a sensor returning values between 0 and 100
    distance1 = count
    distance2 = count

    distance1 = distance1 - MIN_DISTANCE
    if distance1 < 0:
        distance1 = 0
    distance2 = distance2 - MIN_DISTANCE
    if distance2 < 0:
        distance2 = 0

    count += 1
    
    # Append new data
    xarr.append(count)
    yarr1.append(distance1)
    yarr2.append(distance2)
    
    # Apply moving average
    smoothed_distance1 = moving_average(yarr1)
    smoothed_distance2 = moving_average(yarr2)

    yarr1_s.append(smoothed_distance1)
    yarr2_s.append(smoothed_distance2)
    
    # Limit size of arrays to avoid excessive memory usage
    if len(yarr1) > 100:
        yarr1.pop(0)
        yarr2.pop(0)
        yarr1_s.pop(0)
        yarr2_s.pop(0)
        xarr.pop(0)
        
    pprint.pprint(xarr)
    pprint.pprint(yarr1)    

    # Update the X data (only once)
    line1.set_xdata(xarr)
    line2.set_xdata(xarr)
    line3.set_xdata(xarr)
    line4.set_xdata(xarr)

    # Update the plot (without clearing it)
    line1.set_ydata(yarr1)
    line2.set_ydata(yarr2)
    line3.set_ydata(yarr1_s)
    line4.set_ydata(yarr2_s)

    # Update the plot (this works)
    #ax1.plot(xarr, yarr1, label="LEFT", color="gray")
    #ax1.plot(xarr, yarr2, label="RIGHT", color="gray")
    #ax1.plot(xarr, yarr1_s, label="LEFT s", color="red")
    #ax1.plot(xarr, yarr2_s, label="RIGHT s", color="green")

    fig.canvas.draw()
    fig.canvas.flush_events()
    time.sleep(0.1)


ani = animation.FuncAnimation(fig, animate, interval=1)  # Increased interval for smoother updates

# Add a button to clear data
ax_button = plt.axes([0.8, 0.05, 0.1, 0.075])
btn = Button(ax_button, "Clear Data")
btn.on_clicked(clear_data)

plt.show()

目前图表的显示状态如下：

备注：内容来源于stack exchange，提问作者phil