import tkinter as tk from PIL import Image, ImageTk from tkinter import filedialog from sklearn.preprocessing import StandardScaler,LabelEncoder from sklearn.model_selection import train_test_split # 定义全局变量 file_path = "" train_ratio = 0.8 # 划分训练集和测试集 def split_train_test(): global file_path, train_ratio # 读取CSV文件 data = pd.read_csv(file_path) # 划分数据集 train, test = train_test_split(data, train_size=train_ratio) # 显示训练集和测试集大小 text_output.insert(tk.END, "训练集大小:{}\n".format(len(train))) text_output.insert(tk.END, "测试集大小:{}\n".format(len(test))) # 创建主窗口 root = tk.Tk() train_ratio_label = tk.Label(root, text="训练集比例:", fg="dark blue", bg="light yellow") train_ratio_label.pack() train_ratio_entry = tk.Entry(root) train_ratio_entry.pack()split_button = tk.Button(root, text="划分训练集和测试集", bg="light yellow", fg="dark blue", command=split_train_test, relief="raised", borderwidth=3, activebackground="light blue", activeforeground="black") split_button.pack(side="left") # 开始主循环 root.mainloop()怎么样修改代码使用户自行在界面操作之后进行训练集和测试集的划分
时间: 2024-02-13 18:01:32 浏览: 42
你可以在用户点击“划分训练集和测试集”按钮时,获取用户在文本框中输入的训练集比例,并将其作为参数传递给 `split_train_test` 函数。
以下是修改后的代码示例:
```python
import tkinter as tk
from PIL import Image, ImageTk
from tkinter import filedialog
from sklearn.preprocessing import StandardScaler, LabelEncoder
from sklearn.model_selection import train_test_split
# 定义全局变量
file_path = ""
train_ratio = 0.8
# 划分训练集和测试集
def split_train_test():
global file_path, train_ratio
# 获取用户输入的训练集比例
train_ratio = float(train_ratio_entry.get())
# 读取CSV文件
data = pd.read_csv(file_path)
# 划分数据集
train, test = train_test_split(data, train_size=train_ratio)
# 显示训练集和测试集大小
text_output.insert(tk.END, "训练集大小:{}\n".format(len(train)))
text_output.insert(tk.END, "测试集大小:{}\n".format(len(test)))
# 创建主窗口
root = tk.Tk()
train_ratio_label = tk.Label(root, text="训练集比例:", fg="dark blue", bg="light yellow")
train_ratio_label.pack()
train_ratio_entry = tk.Entry(root)
train_ratio_entry.pack()
split_button = tk.Button(root, text="划分训练集和测试集", bg="light yellow", fg="dark blue", command=split_train_test, relief="raised", borderwidth=3, activebackground="light blue", activeforeground="black")
split_button.pack(side="left")
# 显示输出
text_output = tk.Text(root, height=10, width=50, bg="white", fg="black")
text_output.pack()
# 开始主循环
root.mainloop()
```
这样,用户就可以在界面上输入训练集比例,然后点击按钮进行数据集划分了。
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