def open_file(): file_path = tk.filedialog.askopenfilename() with open(file_path, "r") as f: text.insert("1.0", f.read()) 怎么忽略隐藏文件

你可以使用 `tk.filedialog.askopenfilename()` 方法的 `showhidden=False` 参数来忽略隐藏文件。修改你的代码如下：

def open_file():
    file_path = tk.filedialog.askopenfilename(showhidden=False)
    with open(file_path, "r") as f:
        text.insert("1.0", f.read())

这样，当你在文件对话框中打开时，它将不会显示隐藏文件。

相关问题

button1 = ttk.Button(self.initface, text='上传文件', command=self.open_file()) button1.place(x=100,y=100) def open_file(self): self.file_path = filedialog.askopenfilename() print(self.file_path)为什么一点开自动就弹出

这是因为你在创建`ttk.Button`时，将`command`参数设置为了`self.open_file()`，这样会在窗口创建时就立即执行`self.open_file()`函数，而不是点击按钮时才执行。为了避免这种情况，你可以将`command`参数设置为`self.open_file`，去掉括号，这样就不会在窗口创建时自动执行了。修改后的代码如下：

import tkinter as tk
from tkinter import ttk
from tkinter import filedialog

class MyWindow:
    def __init__(self, master):
        self.master = master
        self.master.title('上传文件')
        self.master.geometry('300x200')
        button1 = ttk.Button(self.master, text='上传文件', command=self.open_file)
        button1.place(x=100, y=100)

    def open_file(self):
        self.file_path = filedialog.askopenfilename()
        print(self.file_path)

root = tk.Tk()
MyWindow(root)
root.mainloop()

在这个版本中，当你点击`上传文件`按钮时，会弹出一个文件选择窗口，选择文件后，`open_file()`函数会将文件路径打印在控制台上。

import tkinter as tk import pandas as pd import matplotlib.pyplot as plt from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg import os class ExcelPlotter(tk.Frame): def init(self, master=None): super().init(master) self.master = master self.master.title("图方便") self.file_label = tk.Label(master=self, text="Excel File Path:") self.file_label.grid(row=0, column=0, sticky="w") self.file_entry = tk.Entry(master=self) self.file_entry.grid(row=0, column=1, columnspan=2, sticky="we") self.file_button = tk.Button(master=self, text="Open", command=self.open_file) self.file_button.grid(row=0, column=3, sticky="e") self.plot_button = tk.Button(master=self, text="Plot", command=self.plot_data) self.plot_button.grid(row=1, column=2, sticky="we") self.name_label = tk.Label(master=self, text="Out Image Name:") self.name_label.grid(row=2, column=0, sticky="w") self.name_entry = tk.Entry(master=self) self.name_entry.grid(row=2, column=1, columnspan=2, sticky="we") self.save_button = tk.Button(master=self, text="Save", command=self.save_image) self.save_button.grid(row=2, column=3, sticky="e") self.figure = plt.figure(figsize=(5, 4), dpi=150) self.canvas = FigureCanvasTkAgg(self.figure, master=self) self.canvas.get_tk_widget().grid(row=4, column=0, columnspan=4, sticky="we") self.pack() def open_file(self): file_path = tk.filedialog.askopenfilename(filetypes=[("Excel Files", "*.xls")]) self.file_entry.delete(0, tk.END) self.file_entry.insert(tk.END, file_path) def plot_data(self): file_path = self.file_entry.get() if os.path.exists(file_path): data = pd.read_excel(file_path) plt.plot(data['波长(nm)'], data['吸光度'], 'k') plt.xlim(300, 1000) plt.xlabel('Wavelength(nm)', fontsize=16) plt.ylabel('Abs.', fontsize=16) plt.gcf().subplots_adjust(left=0.13, top=0.91, bottom=0.16) plt.savefig('Last Fig', dpi=1000) plt.show() def save_image(self): if self.figure: file_path = tk.filedialog.asksaveasfilename(defaultextension=".png") if file_path: self.figure.savefig(file_path) root = tk.Tk() app = ExcelPlotter(master=root) app.mainloop()帮我增加一个删除当前图像的功能

好的，您可以在 `ExcelPlotter` 类中添加一个名为 `delete_image` 的方法，实现删除当前图像的功能。可以在该方法中调用 `self.figure.clf()` 清空当前图像，然后在界面上更新显示。下面是修改后的代码：

import tkinter as tk 
import pandas as pd 
import matplotlib.pyplot as plt 
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg 
import os 

class ExcelPlotter(tk.Frame): 
    def __init__(self, master=None): 
        super().__init__(master) 
        self.master = master 
        self.master.title("图方便") 
        self.file_label = tk.Label(master=self, text="Excel File Path:") 
        self.file_label.grid(row=0, column=0, sticky="w") 
        self.file_entry = tk.Entry(master=self) 
        self.file_entry.grid(row=0, column=1, columnspan=2, sticky="we") 
        self.file_button = tk.Button(master=self, text="Open", command=self.open_file) 
        self.file_button.grid(row=0, column=3, sticky="e") 
        self.plot_button = tk.Button(master=self, text="Plot", command=self.plot_data) 
        self.plot_button.grid(row=1, column=2, sticky="we")
        self.delete_button = tk.Button(master=self, text="Delete", command=self.delete_image)
        self.delete_button.grid(row=1, column=3, sticky="e") 
        self.name_label = tk.Label(master=self, text="Out Image Name:") 
        self.name_label.grid(row=2, column=0, sticky="w") 
        self.name_entry = tk.Entry(master=self) 
        self.name_entry.grid(row=2, column=1, columnspan=2, sticky="we") 
        self.save_button = tk.Button(master=self, text="Save", command=self.save_image) 
        self.save_button.grid(row=2, column=3, sticky="e") 
        self.figure = plt.figure(figsize=(5, 4), dpi=150) 
        self.canvas = FigureCanvasTkAgg(self.figure, master=self) 
        self.canvas.get_tk_widget().grid(row=4, column=0, columnspan=4, sticky="we") 
        self.pack() 

    def open_file(self): 
        file_path = tk.filedialog.askopenfilename(filetypes=[("Excel Files", "*.xls")]) 
        self.file_entry.delete(0, tk.END) 
        self.file_entry.insert(tk.END, file_path) 

    def plot_data(self): 
        file_path = self.file_entry.get() 
        if os.path.exists(file_path): 
            data = pd.read_excel(file_path) 
            plt.plot(data['波长(nm)'], data['吸光度'], 'k') 
            plt.xlim(300, 1000) 
            plt.xlabel('Wavelength(nm)', fontsize=16) 
            plt.ylabel('Abs.', fontsize=16) 
            plt.gcf().subplots_adjust(left=0.13, top=0.91, bottom=0.16) 
            plt.show() 

    def delete_image(self):
        if self.figure:
            self.figure.clf()
            self.canvas.draw()

    def save_image(self): 
        if self.figure: 
            file_path = tk.filedialog.asksaveasfilename(defaultextension=".png") 
            if file_path: 
                self.figure.savefig(file_path) 

root = tk.Tk() 
app = ExcelPlotter(master=root) 
app.mainloop()

在界面上添加了一个名为 `Delete` 的按钮，点击该按钮会调用 `delete_image` 方法。该方法会清空当前图像并在界面上更新显示。