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我正在构建一个 GUI，它从树莓派中获取传感器数据，并通过 matplotlib 动画将其显示到窗口上。代码工作正常，除了在树莓派上运行时，matplotlib 动画需要一些时间来执行，这会暂时阻止传感器读取我感兴趣的 GetCPM。如何让这两个程序同时运行而不会阻塞另一个，我已经尝试过多处理库，但我似乎无法让它工作。

注意：我正在绘制的传感器数据不必具有高采样率，它是我在标签上显示的传感器。

这是我的代码

import matplotlib
matplotlib.use("TkAgg")
import numpy as np 

import tkinter as tk
from tkinter import ttk
from tkinter import *

import math
import datetime as dt
import time
from collections import Counter
import random as rn

from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
from matplotlib.figure import Figure
import matplotlib.animation as animation
from matplotlib import style
import matplotlib.pyplot as plt

import threading as td
import multiprocessing as mp
from multiprocessing import Process, Queue

style.use('seaborn')
limit = np.array([5])

# Initialize Pressure Figure 

fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()

x1, y1 = [], []
x2, y2 = [], []

TOT = []
CPM = 0


def GetValues(i, x, y, ax):

    volts2 = rn.uniform(3,6)

    x.append(dt.datetime.now().strftime('%H: %M: %S.%f'))
    y.append(float(volts2))

    x = x[-50:]
    y = y[-50:]

    ax.clear()
    ax.plot(x, y, linewidth=1, color= 'k')

    ax.fill_between(x, y, limit[0], where=(y > limit[0]), facecolor='forestgreen', alpha=0.7, interpolate=True)
    ax.fill_between(x, y, limit[0], where=(y < limit[0]), facecolor='darkred', alpha=0.7, interpolate=True)

    ax.set_xticklabels([])


def animate(i, x, y, ax):


    volts = rn.uniform(2,8)

    x.append(dt.datetime.now().strftime('%H: %M: %S.%f'))
    y.append(float(volts))

    x = x[-50:]
    y = y[-50:]

    ax.clear()
    ax.plot(x, y, linewidth=1, color= 'k')

    ax.fill_between(x, y, limit[0], where=(y > limit[0]), facecolor='forestgreen', alpha=0.7, interpolate=True)
    ax.fill_between(x, y, limit[0], where=(y < limit[0]), facecolor='darkred', alpha=0.7, interpolate=True)

    ax.set_xticklabels([])

def GetCPM():

    global TOT, CPM 

    temp = 1

        # Test Case

    if temp == True:
        TOT.append(True)
    else:
        TOT.append(False)

    TOT = TOT[-2750:]
    count = Counter(TOT)
    CPM = count[True]

    return CPM



class App(tk.Tk):

    def __init__(self, *args, **kwargs):

        tk.Tk.__init__(self, *args, **kwargs)

#   If you want to customize the icon of the tk window, only accepts .ico 
        #tk.Tk.iconbitmap(self, default="iconname.ico")
        tk.Tk.wm_title(self, "Pressure")

        container = tk.Frame(self)
        container.pack(side="top", fill="both", expand=True)
        
        container.grid_rowconfigure(0,weight=1)
        container.grid_columnconfigure(0,weight=1)

        self.frames = {}

        frame = GUI(container, self)
        self.frames[GUI] = frame
        frame.grid(row=0, column=0, sticky="nsew")
        self.show_frame(GUI)

    def show_frame(self,cont):

        frame = self.frames[cont]
        frame.tkraise()

        
class GUI(tk.Frame):

    def __init__(self, parent, controller):
        tk.Frame.__init__(self, parent)

        canvas1 = FigureCanvasTkAgg(fig1, self)
        canvas1.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)

        canvas2 = FigureCanvasTkAgg(fig2, self)
        canvas2.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True)

        #Initialize label as self.

        lbl = tk.Label(self, font = ('Sans Serif', 40, 'bold'), 
                                background = 'purple', 
                                foreground = 'White') 
        lbl.place(relx=0.5, rely=0.5, anchor=CENTER)

        def update():
            ll = GetCPM()
            lbl.config(text = "CPM = {}".format(ll)) 
            print(dt.datetime.now().strftime('%H: %M: %S.%f'))
            lbl.after(20, update) 

        update()



# interval determines the speed at which data is recorded, 1000 = 1 second
if __name__ == '__main__':
    app = App()

    t1 = mp.Process(target=GetCPM)
    t1.start()
    t1.join()

    ani_1 = animation.FuncAnimation(fig1, animate, interval = 500, 
                                    fargs=(x1, y1, ax1))
    ani_2 = animation.FuncAnimation(fig2, GetValues, interval = 500, 
                                    fargs=(x2, y2, ax2))

    app.mainloop()
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