我正在做一个从dll获取数据以使用matplotlib绘制实时图形的问题。该过程运行良好，并且能够生成实时图形。我使用多线程获取高频数据并以较低速率绘制。这是因为我需要一个能够显示实时的2000Hz数据集。

但是，该图形将停止运行约15秒钟，而用于获取数据的其他函数运行良好。

import sys
import ctypes as ct
import time
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
from matplotlib.animation import FuncAnimation
import threading

mod_name = r"G:\software\datalite\OnLineInterface.dll"
# mod_name = "kernel32"
OnLineInterfaceDll = ct.WinDLL(mod_name)
OnLineStatus = OnLineInterfaceDll.OnLineStatus
OnLineStatus.argtypes = (ct.c_long, ct.c_long, ct.POINTER(ct.c_long))
a = ct.c_long(0)
b = ct.c_long(2)
c = ct.c_long()
OnLineStatus(a, b, ct.pointer(c))

xcache = []
ycache = []

def GetData():
    i = 0
    b = ct.c_long(1)
    v = 0


    b = ct.c_long(4)

    while i < 5000000 :
        OnLineStatus(a, b, ct.pointer(c))
        cconv = ((c.value - 4000) / 1000)
        print(cconv)
        v = time.perf_counter()
        print("time:", v)

        xcache.append(v)
        ycache.append(cconv)

        i += 1

def DrawData():
    figure, ax = plt.subplots(figsize=(8, 6))
    plt.title("EMG signal", fontsize=25)
    plt.xlabel("time(seconds", fontsize=18)
    plt.ylabel("EMG(mV)", fontsize=18)


    def animate(i):
        plt.cla()
        plt.plot(xcache, ycache)
        print(xcache)


    ani = FuncAnimation(plt.gcf(), animate, 1000)
    plt.show()

if __name__ == "__main__":

    t1 = threading.Thread(target=GetData)
    t2 = threading.Thread(target=DrawData)
    t1.start()
    t2.start()
    t1.join()
    t2.join()