fitt/newly_added/demo1.py

import mpl_toolkits.axisartist as axisartist
from scipy.optimize import curve_fit
from pandas import DataFrame
import matplotlib.pyplot as plt
import numpy as np
import pylab as mpl
from tkinter import *
import data as gl_data
import pandas as pd
import tkinter
import sys
import tkinter as tk
from tkinter import filedialog

mpl.rcParams['font.sans-serif'] = ['SimHei']  		# 解决matplotlib中文不显示问题
plt.rcParams['axes.unicode_minus'] = False # 解决matplotlib负数坐标显示问题

# 创建一个二维数组sampleData，用于存储样本数据
sampleData = []

def askfile():# 从本地选择一个文件，并返回文件的路径
    global sampleData
    # 弹出文件选择对话框，选择要打开的文本文件
    file_path = filedialog.askopenfilename(filetypes=[('Text Files', '*.txt')])

    # 如果没有选择文件，直接返回
    if not file_path:
        return
    # 步骤1：打开样本数据集文件并读取每行数据
    with open(file_path, 'r') as file:
        lines = file.readlines()

    # 步骤2：遍历所有行，将每行数据解析为sx和sy值，转换为浮点数并存储到sampleData中
    for line in lines:
        sx, sy = line.strip().split(' ')
        sx = float(sx)
        sy = float(sy)
        sampleData.append([sx, sy])

    # # 步骤3：使用循环遍历样本数据并打印出来
    # for data in sampleData:
    #     print(data)
if __name__ == '__main__':
    askfile()