TKinter：在调整大小和关闭应用程序时更快地加载 Matplotlib 图形而不会出现闪烁

如何解决TKinter：在调整大小和关闭应用程序时更快地加载 Matplotlib 图形而不会出现闪烁

当用户从一个屏幕切换到另一个屏幕甚至关闭应用程序时，快速加载图形而不会出现延迟或闪烁。目前，我正在使用一个小数据来重现这个问题，但在实际应用中，我有 1000 个数据点要显示在图表上。

重现问题的步骤。

1. 点击“最大化”按钮查看闪烁或延迟。
2. 关闭应用程序，您会在关闭前看到屏幕上重新排列的图形。

from tkinter import *
from pandas import DataFrame
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import threading as th

class AppLayout(Tk):
    def __init__(self):
        Tk.__init__(self)

        self.masterPane = PanedWindow(self )
        self.leftPane   = Frame(self.masterPane,relief = 'raised',bg='black',width =100)
        self.masterPane.add(self.leftPane)
        
        self.rightPane   = Frame(self.masterPane,bg ='#0C0026')
        self.rightPane.columnconfigure(2,weight=1)
        self.masterPane.add(self.rightPane)
        
        self.masterPane.pack(fill = 'both',expand = True)
        self.dashBoard()
        
    def dashBoard(self):
      
        self.Dashboard_Frame = Frame(self.rightPane,bg ='#0C0026')
        self.Dashboard_Frame.grid(row=0,column =0,sticky ='nsew')
        
        def Display_Chart():
            
            def Draw_Graph(fig_dim,fig_pady,fig_padx,fig_row,fig_column,fig_sticky):
                  
                data1 = {'Country': ['US','CA','GER','UK','FR','IN'],'GDP_Per_Capita': [45000,42000,52000,49000,47000,85000]
                         }
                df1 = DataFrame(data1,columns=['Country','GDP_Per_Capita'])
            
                figure1 = plt.Figure(figsize= fig_dim,dpi=100)
                ax1 = figure1.add_subplot(111)
                bar1 = FigureCanvasTkAgg(figure1,self.Dashboard_Frame)
                bar1.get_tk_widget().grid(row=fig_row,column =fig_column,sticky =fig_sticky,pady=fig_pady,padx=fig_padx)
                                   
                df1 = df1[['Country','GDP_Per_Capita']].groupby('Country').sum()
                df1.plot(kind='line',legend=True,ax=ax1,color ='w')
                ax1.set_title('Country Vs. GDP Per Capita',color ='w')
                
                ax1.yaxis.label.set_color('w')
                ax1.xaxis.label.set_color('w')
                ax1.spines['bottom'].set_color('w')
                ax1.spines['top'].set_color('w') 
                ax1.spines['right'].set_color('w')
                ax1.spines['left'].set_color('w')
                figure1.patch.set_facecolor('w')
                
                ax1.tick_params(colors='w',which='both')
            
                ax1.set_facecolor('#0a043c')
                figure1.set_facecolor('#000839')
                
                self.Dashboard_Frame.rowconfigure(1,weight=1)
                self.Dashboard_Frame.columnconfigure(0,weight=1)
        
            th.Thread(target = Draw_Graph((6,3),(40,10),20,1,'nswe')).start()
            th.Thread(target = Draw_Graph((6,(0,20),2,'nswe')).start()
            
            th.Thread(target = Draw_Graph((4,2),'nswe')).start()
            th.Thread(target = Draw_Graph((4,'nswe')).start()
            
            self.rightPane.columnconfigure(0,weight=1)
            self.rightPane.rowconfigure(0,weight=1)
            self.Dashboard_Frame.rowconfigure(1,weight=1)         
            self.Dashboard_Frame.rowconfigure(2,weight=1)       
            self.Dashboard_Frame.columnconfigure(0,weight=1)
            self.Dashboard_Frame.columnconfigure(1,weight=1)
            self.Dashboard_Frame.columnconfigure(3,weight=1)

        
        th.Thread(target=Display_Chart()).start()


app = AppLayout()
app.mainloop()