将脚本链接回Tkinter GUI Python

我已经创建了一个Tkinter GUI，它从一个文本文件中获取数据，并根据一些用户输入进行打印。从外部脚本调用函数并将绘图返回GUI时遇到问题

一般来说，我是python的初学者，所以如果您发现任何不好的实践/糟糕的解释，请告诉我

文件定义： py：包含GUI外壳/小部件/按钮等 Plot.py：包含打印算法

如果我将GUI和PLot算法组合在同一个脚本中，它工作得很好，因此我不关心实际的算法/循环，只是当我将其分离时，我在两者之间调用时遇到了问题-尽管我尝试使用google/stackexchange/youtube，但我不确定我是否完全理解这一点

GUI.py（相关位）：

“PlotonName（Ans）”和“PlotonSeparated（Ans）”旨在将“Ans”传递给我的外部“Plot.py”（我已导入）

Plot.py：

def Plotonsame(s):
    #prepare canvas
    fig=figure.Figure(figsize=(8,6))            
    a=fig.add_subplot(111)

    for option in s:
        #s=Ans[option]
        self.Pro_txt.insert(END,s[option])
        #Plot the series
        a.plot(s[option], label=option)
        a.legend(bbox_to_anchor=(0,1.02,1,.102),loc=3,ncol=2,borderaxespad=0,prop={'size':10})
    app1.dataPlot=FigureCanvasTkAgg(fig,master=app1)
    app1.dataPlot.get_tk_widget().grid(row=1,rowspan=m,column=15,sticky="nsew")

def Plotseparately(s):
    s=self.Ans
    length=len(s) #count the number of options
    if length==1:
        j=1 #number of rows
        i=1 #number of columns
    if length==2:
        j=1
        i=2    
    elif length in (3,4):
        j=2
        i=2
    elif length in (5,6):
        j=2
        i=3
    elif length in (7,8,9):
        j=3
        i=3
    canvaswidth=9
    canvasheight=7
    index=0
    fig=figure.Figure(figsize=(canvaswidth,canvasheight))

    for option in s: #create subplots within the defined canvas 'fig'
        index+=1 #iterates over number of subplots
        a=fig.add_subplot(j,i,index) #adds the individual subplots
        self.Pro_txt.insert(END,s) #insert text(Ans[option]) into Processed window
        a.plot(self.Ans[option],label=option) #Plot the series
        a.legend(bbox_to_anchor=(0,1.02,1,.102),loc=3,ncol=2,prop={'size':7}) #adds the legend for each subplot
    dataPlot=FigureCanvasTkAgg(fig,master=self) #brings all plots together
    dataPlot.get_tk_widget().grid(row=1,rowspan=30,column=15,sticky="nsew")         #draws the plot frame with data etc

def Plotonsame(s):
    #prepare canvas
    fig=figure.Figure(figsize=(8,6))            
    a=fig.add_subplot(111)

    for option in s:
        #s=Ans[option]
        self.Pro_txt.insert(END,s[option])
        #Plot the series
        a.plot(s[option], label=option)
        a.legend(bbox_to_anchor=(0,1.02,1,.102),loc=3,ncol=2,borderaxespad=0,prop={'size':10})
    app1.dataPlot=FigureCanvasTkAgg(fig,master=app1)
    app1.dataPlot.get_tk_widget().grid(row=1,rowspan=m,column=15,sticky="nsew")

def Plotseparately(s):
    s=self.Ans
    length=len(s) #count the number of options
    if length==1:
        j=1 #number of rows
        i=1 #number of columns
    if length==2:
        j=1
        i=2    
    elif length in (3,4):
        j=2
        i=2
    elif length in (5,6):
        j=2
        i=3
    elif length in (7,8,9):
        j=3
        i=3
    canvaswidth=9
    canvasheight=7
    index=0
    fig=figure.Figure(figsize=(canvaswidth,canvasheight))

    for option in s: #create subplots within the defined canvas 'fig'
        index+=1 #iterates over number of subplots
        a=fig.add_subplot(j,i,index) #adds the individual subplots
        self.Pro_txt.insert(END,s) #insert text(Ans[option]) into Processed window
        a.plot(self.Ans[option],label=option) #Plot the series
        a.legend(bbox_to_anchor=(0,1.02,1,.102),loc=3,ncol=2,prop={'size':7}) #adds the legend for each subplot
    dataPlot=FigureCanvasTkAgg(fig,master=self) #brings all plots together
    dataPlot.get_tk_widget().grid(row=1,rowspan=30,column=15,sticky="nsew")         #draws the plot frame with data etc