[Python] 纯文本查看 复制代码
import pandas as pd
import numpy as np
from tkinter import *
from tkinter import ttk, filedialog, messagebox
import os
from tkinter.scrolledtext import ScrolledText
import threading
from queue import Queue
import logging
from datetime import datetime
# 配置日志
logging.basicConfig(
filename='excel_cleaner.log',
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s'
)
# 模拟 DataHandler, ColumnSelector, ParameterDialog 类
class DataHandler:
def __init__(self):
self.df = None
self.operation_history = []
self.redo_history = []
def load_excel(self, file_path):
self.df = pd.read_excel(file_path)
return self.df
def save_excel(self, file_path):
self.df.to_excel(file_path, index=False)
def get_statistics(self):
return {
'row_count': len(self.df),
'column_count': len(self.df.columns)
}
def get_column_types(self):
return self.df.dtypes
def remove_spaces(self, columns):
for col in columns:
if self.df[col].dtype == object:
self.df[col] = self.df[col].str.strip()
return self.df
def normalize_case(self, case_type, columns):
for col in columns:
if self.df[col].dtype == object:
if case_type == 'lower':
self.df[col] = self.df[col].str.lower()
elif case_type == 'upper':
self.df[col] = self.df[col].str.upper()
elif case_type == 'title':
self.df[col] = self.df[col].str.title()
return self.df
def format_numbers(self, decimal_places, columns):
for col in columns:
if pd.api.types.is_numeric_dtype(self.df[col]):
self.df[col] = self.df[col].round(decimal_places)
return self.df
def format_dates(self, date_format, columns):
for col in columns:
if pd.api.types.is_datetime64_any_dtype(self.df[col]):
self.df[col] = self.df[col].dt.strftime(date_format)
return self.df
def remove_special_chars(self, pattern, columns):
for col in columns:
if self.df[col].dtype == object:
self.df[col] = self.df[col].str.replace(pattern, '', regex=True)
return self.df
def fill_empty_values(self, method, value=None, columns=None):
if columns is None:
columns = self.df.columns
for col in columns:
if method == 'value':
self.df[col].fillna(value, inplace=True)
elif method == 'mean':
self.df[col].fillna(self.df[col].mean(), inplace=True)
elif method == 'median':
self.df[col].fillna(self.df[col].median(), inplace=True)
elif method == 'mode':
self.df[col].fillna(self.df[col].mode()[0], inplace=True)
elif method == 'ffill':
self.df[col].fillna(method='ffill', inplace=True)
elif method == 'bfill':
self.df[col].fillna(method='bfill', inplace=True)
return self.df
class ColumnSelector:
def __init__(self, parent, columns, column_types, title, callback):
self.callback = callback
self.selected_columns = []
self.window = Toplevel(parent)
self.window.title(title)
ttk.Label(self.window, text="选择列：").pack(pady=10)
self.listbox = Listbox(self.window, selectmode=MULTIPLE)
for col in columns:
self.listbox.insert(END, col)
self.listbox.pack(fill=BOTH, expand=True, padx=10, pady=10)
button_frame = ttk.Frame(self.window)
button_frame.pack(fill=X, padx=10, pady=10)
ttk.Button(button_frame, text="确定", command=self.on_confirm).pack(side=LEFT, padx=10)
ttk.Button(button_frame, text="取消", command=self.window.destroy).pack(side=LEFT)
def on_confirm(self):
self.selected_columns = [self.listbox.get(i) for i in self.listbox.curselection()]
self.callback(self.selected_columns)
self.window.destroy()
class ParameterDialog:
def __init__(self, parent, params, title, callback):
self.callback = callback
self.params = params
self.values = {}
self.window = Toplevel(parent)
self.window.title(title)
for param_name, param_info in params.items():
ttk.Label(self.window, text=param_info['label']).pack(pady=5)
if param_info['type'] == 'choice':
var = StringVar()
var.set(param_info['default'])
ttk.Combobox(self.window, textvariable=var, values=param_info['choices']).pack(fill=X, padx=10)
self.values[param_name] = var
elif param_info['type'] == 'int':
var = IntVar()
var.set(param_info['default'])
ttk.Spinbox(self.window, from_=param_info['min'], to=param_info['max'], textvariable=var).pack(fill=X, padx=10)
self.values[param_name] = var
elif param_info['type'] == 'str':
var = StringVar()
var.set(param_info['default'])
ttk.Entry(self.window, textvariable=var).pack(fill=X, padx=10)
self.values[param_name] = var
button_frame = ttk.Frame(self.window)
button_frame.pack(fill=X, padx=10, pady=10)
ttk.Button(button_frame, text="确定", command=self.on_confirm).pack(side=LEFT, padx=10)
ttk.Button(button_frame, text="取消", command=self.window.destroy).pack(side=LEFT)
def on_confirm(self):
result = {param_name: var.get() for param_name, var in self.values.items()}
self.callback(result)
self.window.destroy()
class ExcelCleaner:
def __init__(self):
self.window = Tk()
self.window.title("Excel数据清洗工具")
self.window.geometry("1000x800")
self.window.configure(bg='#f0f0f0')
# 初始化数据处理器
self.data_handler = DataHandler()
self.processing_queue = Queue()
# 设置样式
self.setup_styles()
# 创建菜单栏
self.create_menu()
# 创建主框架
main_frame = ttk.Frame(self.window)
main_frame.pack(fill=BOTH, expand=True, padx=10, pady=5)
# 左侧工具面板
left_panel = ttk.LabelFrame(main_frame, text="工具面板", padding=10)
left_panel.pack(side=LEFT, fill=Y, padx=5, pady=5)
# 文件操作区域
self.create_file_frame(left_panel)
# 清洗操作区域
self.create_clean_frame(left_panel)
# 右侧主要内容区域
right_panel = ttk.Frame(main_frame)
right_panel.pack(side=LEFT, fill=BOTH, expand=True, padx=5)
# 预览区域
self.create_preview_frame(right_panel)
# 状态栏
self.create_status_bar()
# 进度条
self.create_progress_bar()
# 绑定快捷键
self.bind_shortcuts()
def setup_styles(self):
style = ttk.Style()
style.theme_use('clam')
# 配置按钮样式
style.configure(
"Tool.TButton",
padding=5,
font=('微软雅黑', 10),
background='#e1e1e1',
foreground='#333333'
)
# 配置标签样式
style.configure(
"Title.TLabel",
font=('微软雅黑', 12, 'bold'),
background='#f0f0f0',
foreground='#333333'
)
# 配置框架样式
style.configure(
"Card.TLabelframe",
background='#ffffff',
padding=10
)
# 配置树形视图样式
style.configure(
"Preview.Treeview",
font=('微软雅黑', 10),
rowheight=25
)
# 配置进度条样式
style.configure(
"Progress.Horizontal.TProgressbar",
troughcolor='#f0f0f0',
background='#4CAF50',
thickness=10
)
def create_progress_bar(self):
self.progress_var = DoubleVar()
self.progress_bar = ttk.Progressbar(
self.window,
style="Progress.Horizontal.TProgressbar",
variable=self.progress_var,
maximum=100
)
self.progress_bar.pack(fill=X, padx=5, pady=2)
def bind_shortcuts(self):
self.window.bind('<Control-o>', lambda e: self.select_file())
self.window.bind('<Control-s>', lambda e: self.save_file())
self.window.bind('<Control-z>', lambda e: self.undo())
self.window.bind('<Control-y>', lambda e: self.redo())
self.window.bind('<F1>', lambda e: self.show_help())
def process_in_background(self, func, *args, **kwargs):
"""在后台线程中处理耗时操作"""
def wrapper():
try:
self.progress_var.set(0)
self.status_var.set("正在处理...")
self.window.update()
# 执行操作
result = func(*args, **kwargs)
# 更新UI
self.window.after(0, self.update_ui_after_processing, result)
except Exception as e:
logging.error(f"处理错误: {str(e)}")
self.window.after(0, self.show_error, str(e))
finally:
self.window.after(0, self.progress_var.set, 100)
self.window.after(0, self.status_var.set, "处理完成")
# 启动后台线程
thread = threading.Thread(target=wrapper)
thread.daemon = True
thread.start()
def update_ui_after_processing(self, result):
"""处理完成后更新UI"""
if isinstance(result, tuple):
self.data_handler.df = result[0]
if len(result) > 1:
removed_rows = result[1]
self.status_var.set(f"已删除 {removed_rows} 行数据")
elif isinstance(result, pd.DataFrame):
self.data_handler.df = result
if result is not None:
self.update_preview()
def show_error(self, error_msg):
"""显示错误消息"""
messagebox.showerror("错误", f"处理过程中出现错误：{error_msg}")
self.status_var.set("处理失败")
def select_file(self):
file_path = filedialog.askopenfilename(
filetypes=[("Excel files", "*.xlsx *.xls")]
)
if file_path:
self.process_in_background(self.data_handler.load_excel, file_path)
def save_file(self):
if self.data_handler.df is not None:
file_path = filedialog.asksaveasfilename(
defaultextension=".xlsx",
filetypes=[("Excel files", "*.xlsx")]
)
if file_path:
self.process_in_background(self.data_handler.save_excel, file_path)
def undo(self):
"""撤销上一步操作"""
if self.data_handler.operation_history:
last_operation = self.data_handler.operation_history.pop()
self.data_handler.df = last_operation['previous_state'].copy()
self.update_preview()
self.status_var.set("已撤销上一步操作")
def redo(self):
"""重做上一步操作"""
if hasattr(self.data_handler, 'redo_history') and self.data_handler.redo_history:
last_operation = self.data_handler.redo_history.pop()
self.data_handler.df = last_operation['next_state'].copy()
self.data_handler.operation_history.append(last_operation)
self.update_preview()
self.status_var.set("已重做上一步操作")
def add_operation_to_history(self, operation_name, previous_state, next_state):
"""添加操作到历史记录"""
self.data_handler.operation_history.append({
'name': operation_name,
'previous_state': previous_state.copy(),
'next_state': next_state.copy()
})
# 清空重做历史
if hasattr(self.data_handler, 'redo_history'):
self.data_handler.redo_history.clear()
def remove_duplicates(self):
if self.data_handler.df is not None:
previous_state = self.data_handler.df.copy()
self.data_handler.df = self.data_handler.df.drop_duplicates()
removed_rows = len(previous_state) - len(self.data_handler.df)
self.add_operation_to_history("删除重复行", previous_state, self.data_handler.df.copy())
self.update_preview()
self.status_var.set(f"已删除 {removed_rows} 行重复数据")
def remove_empty_rows(self):
if self.data_handler.df is not None:
previous_state = self.data_handler.df.copy()
self.data_handler.df = self.data_handler.df.dropna(how='all')
removed_rows = len(previous_state) - len(self.data_handler.df)
self.add_operation_to_history("删除空行", previous_state, self.data_handler.df.copy())
self.update_preview()
self.status_var.set(f"已删除 {removed_rows} 行空数据")
def remove_spaces(self):
if self.data_handler.df is not None:
def on_columns_selected(columns):
self.process_in_background(
self.data_handler.remove_spaces,
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要去除空格的列",
callback=on_columns_selected
)
def normalize_case(self):
if self.data_handler.df is not None:
def on_params_set(params):
def on_columns_selected(columns):
self.process_in_background(
self.data_handler.normalize_case,
case_type=params["case_type"],
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要统一大小写的列",
callback=on_columns_selected
)
params = {
"case_type": {
"type": "choice",
"label": "大小写格式",
"default": "lower",
"choices": ["lower", "upper", "title"]
}
}
ParameterDialog(
self.window,
params,
title="选择大小写格式",
callback=on_params_set
)
def format_numbers(self):
if self.data_handler.df is not None:
def on_params_set(params):
def on_columns_selected(columns):
self.process_in_background(
self.data_handler.format_numbers,
decimal_places=params["decimal_places"],
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要格式化的数值列",
callback=on_columns_selected
)
params = {
"decimal_places": {
"type": "int",
"label": "小数位数",
"default": 2,
"min": 0,
"max": 10
}
}
ParameterDialog(
self.window,
params,
title="设置数值格式",
callback=on_params_set
)
def format_dates(self):
if self.data_handler.df is not None:
def on_params_set(params):
def on_columns_selected(columns):
self.process_in_background(
self.data_handler.format_dates,
date_format=params["date_format"],
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要格式化的日期列",
callback=on_columns_selected
)
params = {
"date_format": {
"type": "choice",
"label": "日期格式",
"default": "%Y-%m-%d",
"choices": [
"%Y-%m-%d",
"%Y/%m/%d",
"%d-%m-%Y",
"%m/%d/%Y"
]
}
}
ParameterDialog(
self.window,
params,
title="选择日期格式",
callback=on_params_set
)
def remove_special_chars(self):
if self.data_handler.df is not None:
def on_params_set(params):
def on_columns_selected(columns):
self.process_in_background(
self.data_handler.remove_special_chars,
pattern=params["pattern"],
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要处理的列",
callback=on_columns_selected
)
params = {
"pattern": {
"type": "str",
"label": "正则表达式",
"default": r'[^\w\s]'
}
}
ParameterDialog(
self.window,
params,
title="设置正则表达式",
callback=on_params_set
)
def fill_empty_values(self):
if self.data_handler.df is not None:
def on_params_set(params):
def on_columns_selected(columns):
value = params.get("value")
if params["method"] == "value" and value:
try:
# 尝试转换为数值
value = float(value) if '.' in value else int(value)
except ValueError:
pass
self.process_in_background(
self.data_handler.fill_empty_values,
method=params["method"],
value=value,
columns=columns
)
ColumnSelector(
self.window,
list(self.data_handler.df.columns),
self.data_handler.get_column_types(),
title="选择要填充的列",
callback=on_columns_selected
)
params = {
"method": {
"type": "choice",
"label": "填充方式",
"default": "mean",
"choices": ["mean", "median", "mode", "ffill", "bfill", "value"]
},
"value": {
"type": "str",
"label": "填充值",
"default": ""
}
}
ParameterDialog(
self.window,
params,
title="选择填充方式",
callback=on_params_set
)
def analyze_data(self):
if self.data_handler.df is not None:
analysis_window = Toplevel(self.window)
analysis_window.title("数据分析")
analysis_window.geometry("600x400")
stats_text = ScrolledText(analysis_window, wrap=WORD, width=70, height=20)
stats_text.pack(padx=10, pady=10, fill=BOTH, expand=True)
stats = []
stats.append("数据基本信息：")
stats.append("-" * 50)
stats.append(f"总行数：{len(self.data_handler.df)}")
stats.append(f"总列数：{len(self.data_handler.df.columns)}")
stats.append("\n数值列统计：")
stats.append("-" * 50)
numeric_stats = self.data_handler.df.describe()
stats.append(str(numeric_stats))
stats.append("\n空值统计：")
stats.append("-" * 50)
null_counts = self.data_handler.df.isnull().sum()
stats.append(str(null_counts))
stats_text.insert(END, "\n".join(stats))
stats_text.configure(state='disabled')
def visualize_data(self):
if self.data_handler.df is not None:
try:
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
# 设置中文字体
plt.rcParams['font.sans-serif'] = ['SimHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus'] = False # 用来正常显示负号
viz_window = Toplevel(self.window)
viz_window.title("数据可视化")
viz_window.geometry("800x600")
options_frame = ttk.Frame(viz_window)
options_frame.pack(fill=X, padx=10, pady=5)
ttk.Label(options_frame, text="图表类型：").pack(side=LEFT)
chart_type = StringVar(value="bar")
ttk.Radiobutton(options_frame, text="柱状图", variable=chart_type, value="bar").pack(side=LEFT)
ttk.Radiobutton(options_frame, text="折线图", variable=chart_type, value="line").pack(side=LEFT)
ttk.Radiobutton(options_frame, text="散点图", variable=chart_type, value="scatter").pack(side=LEFT)
# 添加列选择
ttk.Label(options_frame, text=" 选择列：").pack(side=LEFT)
column_var = StringVar()
numeric_columns = list(self.data_handler.df.select_dtypes(include=[np.number]).columns)
if not numeric_columns:
messagebox.showwarning("警告", "没有可用的数值列进行可视化")
return
column_combo = ttk.Combobox(options_frame, textvariable=column_var, values=numeric_columns)
column_combo.pack(side=LEFT)
column_combo.set(numeric_columns[0])
fig, ax = plt.subplots(figsize=(10, 6))
canvas = FigureCanvasTkAgg(fig, master=viz_window)
canvas.get_tk_widget().pack(fill=BOTH, expand=True, padx=10, pady=5)
def update_chart():
try:
ax.clear()
chart_style = chart_type.get()
selected_column = column_var.get()
if not selected_column:
messagebox.showwarning("警告", "请选择要可视化的列")
return
if chart_style == "bar":
self.data_handler.df[selected_column].plot(kind='bar', ax=ax)
ax.set_title(f"{selected_column} 柱状图")
elif chart_style == "line":
self.data_handler.df[selected_column].plot(kind='line', ax=ax)
ax.set_title(f"{selected_column} 折线图")
else: # scatter
if len(numeric_columns) >= 2:
x_col = selected_column
y_col = next(col for col in numeric_columns if col != x_col)
self.data_handler.df.plot(kind='scatter', x=x_col, y=y_col, ax=ax)
ax.set_title(f"{x_col} vs {y_col} 散点图")
else:
messagebox.showwarning("警告", "需要至少两个数值列才能创建散点图")
return
plt.tight_layout()
canvas.draw()
except Exception as e:
messagebox.showerror("错误", f"绘图时发生错误：{str(e)}")
ttk.Button(options_frame, text="更新图表", command=update_chart).pack(side=LEFT, padx=10)
update_chart()
except ImportError:
messagebox.showwarning("警告", "请安装matplotlib库以使用可视化功能")
def run(self):
self.window.mainloop()
def create_menu(self):
menubar = Menu(self.window)
self.window.config(menu=menubar)
# 文件菜单
file_menu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="文件", menu=file_menu)
file_menu.add_command(label="打开 (Ctrl+O)", command=self.select_file)
file_menu.add_command(label="保存 (Ctrl+S)", command=self.save_file)
file_menu.add_separator()
file_menu.add_command(label="退出", command=self.window.quit)
# 编辑菜单
edit_menu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="编辑", menu=edit_menu)
edit_menu.add_command(label="撤销 (Ctrl+Z)", command=self.undo)
edit_menu.add_command(label="重做 (Ctrl+Y)", command=self.redo)
# 视图菜单
view_menu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="视图", menu=view_menu)
view_menu.add_checkbutton(label="显示状态栏", command=self.toggle_status_bar)
# 帮助菜单
help_menu = Menu(menubar, tearoff=0)
menubar.add_cascade(label="帮助", menu=help_menu)
help_menu.add_command(label="使用说明 (F1)", command=self.show_help)
help_menu.add_command(label="关于", command=self.show_about)
def create_file_frame(self, parent):
file_frame = ttk.LabelFrame(parent, text="文件操作", padding=10, style="Card.TLabelframe")
file_frame.pack(fill=X, pady=(0, 10))
# 文件选择
self.file_path = StringVar()
ttk.Label(file_frame, text="Excel文件：", style="Title.TLabel").pack(anchor=W)
ttk.Entry(file_frame, textvariable=self.file_path, width=30).pack(fill=X, pady=5)
button_frame = ttk.Frame(file_frame)
button_frame.pack(fill=X)
ttk.Button(button_frame, text="浏览", command=self.select_file, style="Tool.TButton").pack(side=LEFT, padx=2)
ttk.Button(button_frame, text="保存", command=self.save_file, style="Tool.TButton").pack(side=LEFT, padx=2)
def create_clean_frame(self, parent):
clean_frame = ttk.LabelFrame(parent, text="数据清洗", padding=10, style="Card.TLabelframe")
clean_frame.pack(fill=BOTH, expand=True)
operations = [
("删除重复行", self.remove_duplicates),
("删除空行", self.remove_empty_rows),
("去除空格", self.remove_spaces),
("统一大小写", self.normalize_case),
("数值格式化", self.format_numbers),
("日期格式化", self.format_dates),
("删除特殊字符", self.remove_special_chars),
("填充空值", self.fill_empty_values),
("数据分析", self.analyze_data),
("数据可视化", self.visualize_data)
]
for text, command in operations:
btn = ttk.Button(clean_frame, text=text, command=command, style="Tool.TButton")
btn.pack(fill=X, pady=2)
def create_preview_frame(self, parent):
preview_frame = ttk.LabelFrame(parent, text="数据预览", padding=10, style="Card.TLabelframe")
preview_frame.pack(fill=BOTH, expand=True)
# 创建带滚动条的树形视图
tree_frame = ttk.Frame(preview_frame)
tree_frame.pack(fill=BOTH, expand=True)
# 创建水平滚动条
h_scrollbar = ttk.Scrollbar(tree_frame, orient=HORIZONTAL)
h_scrollbar.pack(side=BOTTOM, fill=X)
# 创建垂直滚动条
v_scrollbar = ttk.Scrollbar(tree_frame)
v_scrollbar.pack(side=RIGHT, fill=Y)
# 创建树形视图
self.tree = ttk.Treeview(
tree_frame,
style="Preview.Treeview",
xscrollcommand=h_scrollbar.set,
yscrollcommand=v_scrollbar.set
)
self.tree.pack(fill=BOTH, expand=True)
# 配置滚动条
h_scrollbar.config(command=self.tree.xview)
v_scrollbar.config(command=self.tree.yview)
# 创建统计信息面板
stats_frame = ttk.Frame(preview_frame)
stats_frame.pack(fill=X, pady=(10, 0))
self.stats_label = ttk.Label(stats_frame, text="", style="Title.TLabel")
self.stats_label.pack(side=LEFT)
def create_status_bar(self):
self.status_var = StringVar()
self.status_bar = ttk.Label(
self.window,
textvariable=self.status_var,
relief=SUNKEN,
padding=(5, 2)
)
self.status_bar.pack(fill=X, padx=5, pady=2)
def toggle_status_bar(self):
# 切换状态栏显示/隐藏
if self.status_bar.winfo_viewable():
self.status_bar.pack_forget()
else:
self.status_bar.pack(fill=X, padx=5, pady=2)
def update_preview(self):
# 清空现有数据
for item in self.tree.get_children():
self.tree.delete(item)
if self.data_handler.df is not None:
df = self.data_handler.df
# 设置列
self.tree["columns"] = list(df.columns)
self.tree["show"] = "headings"
for column in df.columns:
self.tree.heading(column, text=column)
self.tree.column(column, width=100, anchor='center')
# 添加数据（仅显示前100行）
for i, row in df.head(100).iterrows():
self.tree.insert("", END, values=list(row))
# 更新统计标签
stats = self.data_handler.get_statistics()
self.stats_label.config(
text=f"行数: {stats['row_count']} | 列数: {stats['column_count']}"
)
# 更新状态栏
self.status_var.set(
f"当前加载文件: {os.path.basename(self.file_path.get())} | "
f"行数: {stats['row_count']} | 列数: {stats['column_count']}"
)
else:
self.status_var.set("请先加载文件")
def show_help(self):
help_text = """
Excel数据清洗工具使用说明：
1. 文件操作：
- 点击"浏览"选择Excel文件
- 点击"保存"保存处理后的文件
2. 数据清洗功能：
- 删除重复行：删除完全重复的数据行
- 删除空行：删除全为空值的行
- 去除空格：删除文本中的首尾空格
- 统一大小写：统一文本的大小写格式
- 数值格式化：统一数值的小数位数
- 日期格式化：统一日期的显示格式
- 删除特殊字符：清除文本中的特殊字符
- 填充空值：使用多种方式填充缺失值
3. 数据分析：
- 查看基本统计信息
- 空值分析
- 数据分布可视化
4. 快捷键：
- Ctrl+O：打开文件
- Ctrl+S：保存文件
- Ctrl+Z：撤销
- Ctrl+Y：重做
- F1：显示帮助
"""
help_window = Toplevel(self.window)
help_window.title("使用说明")
help_window.geometry("600x400")
help_text_widget = ScrolledText(help_window, wrap=WORD, width=70, height=20)
help_text_widget.pack(padx=10, pady=10, fill=BOTH, expand=True)
help_text_widget.insert(END, help_text)
help_text_widget.configure(state='disabled')
def show_about(self):
about_text = """
Excel数据清洗工具 v1.1 (优化版)
功能特点：
- 支持多种数据清洗操作
- 实时预览数据变化
- 数据分析和可视化
- 后台处理，避免卡顿
- 撤销/重做功能
- 友好的图形界面
作者：AI助手 & 你
联系方式：无
"""
messagebox.showinfo("关于", about_text)
if __name__ == "__main__":
try:
app = ExcelCleaner()
app.run()
except Exception as e:
logging.error(f"程序运行错误: {str(e)}")
messagebox.showerror("错误", f"程序运行出错：{str(e)}")
# 优化的代码，运行即出现GUI界面
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发表于 2025-4-6 23:54
|
发表于 2025-4-6 19:13
|楼主
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