treat the path of the tkinter dialog file as an argument

import matplotlib.pyplot as plt
import numpy as np
importos
import tkinter
from tkinter import messagebox
from tkinter import filedialog

root=tkinter.Tk()
root.title('Smile Mountain') #Title
root.geometry('400x200') # Size Horizontal x Vertical

# What to do when you press the selct button?
def select_click():
    messagebox.showinfo('select','true data')
    messagebox.showinfo('select', 'measured data')
    fileType=[('Excel file', '*.txt')]# Specify file type to Excel file
    fileType=[('Excel file', '*.txt')]# Specify file type to Excel file
    iniDir1 = os.path.abspath(os.path.dirname(__file__))# Initial View Folder
    iniDir2=os.path.abspath(os.path.dirname(__file__))#Initial View Folder
    filepath1=filedialog.askopenfilename (filetypes=fileType, initialdir=iniDir1)
    filepath2=filedialog.askopenfilename (filetypes=fileType, initialdir=iniDir2)
    messagebox.showinfo ('Selected File', filepath1)
    messagebox.showinfo ('Selected File', filepath2)

# Create Buttons
selectButton=tkinter.Button(root, text='fast Select', command=select_click)
selectButton.pack()

root.mainloop()



x1_list = [ ] # Define x_list for data1 storage
z1_list=[]#Define z_list for data1 storage
x2_list = [ ] # Define x_list for data2 storage
z2_list=[]#Define z_list for data2 storage

f1 = open ('root') 
f2 = open('filepath2')# Read the file containing the data you want to plot in r(read)t(text) mode

# data1 loading
for line inf1:
    data1 = line [:-1].split('')
    x1_list.append (float(data1[0]))
    z1_list.append(float(data1[1]))
# data2 loading
for line inf2:
    data2=line[:-1].split('')
    x2_list.append (float(data2[0]))
    z2_list.append(float(data2[1]))
##
plt.xlabel('X')# x-axis label
plt.ylabel('Z')#y-axis label

plt.plot(x1_list, z1_list, color="White", alpha=0.8, linewidth=4.0, label="data1")
plt.plot(x2_list, z2_list, color="White", alpha=0.8, linewidth=4.0, label="data2")
plt.legend()
plt.fill_between(np.append(x1_list,x2_list[::-1]),np.append(z1_list,z2_list[::-1]),where=z2_list>=z1_list,facecolor='green',interpolate=True)# Represents the color between the two lines
plt.fill_between(np.append(x1_list,x2_list[::-1]),np.append(z1_list,z2_list[::-1]),where=z2_list<=z1_list,facecolor='red',interpolate=True)# Represents the color between the two lines


# Other options for drawing
plt.xticks (fontsize=10)
plt.yticks (fontsize=10) 
plt.ylim ([-21.62, -21.46])
plt.grid(True)#Create a frame for the graph
plt.savefig("cm.png")
plt.show()
config=plt.figure()