Python+PyQt5打造一个Excel批量列处理工具

def update_columns(self):
    """更新列名下拉列表"""
    self.column_combo.clear()
    if not self.files:
        return
        
    try:
        # 读取第一个文件的表头作为参考，nrows=0 大幅提升读取速度
        file_path = self.files[0]
        header_row = self.header_spin.value()
        df = pd.read_excel(file_path, header=header_row - 1, nrows=0)
        columns = df.columns.tolist()
        self.column_combo.addItems([str(col) for col in columns])
    except Exception as e:
        self.status_label.setText(f"读取列名失败: {str(e)}")

class ProcessThread(QThread):
    progress = pyqtSignal(str)
    finished = pyqtSignal(bool, str)
    
    def __init__(self, files, header_row, rules):
        super().__init__()
        self.files = files
        self.header_row = header_row
        self.rules = rules
    
    def run(self):
        try:
            success_count = 0
            for file_path in self.files:
                self.progress.emit(f"正在处理: {os.path.basename(file_path)}")
                if self.process_file(file_path):
                    success_count += 1
            
            self.finished.emit(True, f"处理完成！成功处理 {success_count}/{len(self.files)} 个文件")
        except Exception as e:
            self.finished.emit(False, f"处理出错: {str(e)}")

def process_file(self, file_path):
    df = pd.read_excel(file_path, header=self.header_row - 1)
    
    for rule in self.rules:
        column_name = rule.get('column')
        operation = rule.get('operation')
        params = rule.get('params', {})
        
        if operation == "头部添加":
            prefix = params.get('prefix', '')
            df[column_name] = prefix + df[column_name].astype(str)
            
        elif operation == "以字符分割成多列":
            delimiter = params.get('delimiter', ',')
            # expand=True 会直接返回一个 DataFrame
            split_data = df[column_name].astype(str).str.split(delimiter, expand=True)
            df = df.drop(columns=[column_name])
            col_index = df.columns.tolist().index(column_name) if column_name in df.columns else len(df.columns)
            for i, col in enumerate(split_data.columns):
                df.insert(col_index + i, f"{column_name}_分割{i+1}", split_data[col])
                
        elif operation == "数值统一加减":
            add_value = params.get('add_value', 0)
            df[column_name] = pd.to_numeric(df[column_name], errors='coerce') + add_value
            
    # 安全保存文件
    base_name, ext = os.path.splitext(file_path)
    output_path = f"{base_name}_已处理{ext}"
    df.to_excel(output_path, index=False)
    return True

pyinstaller --noconfirm --onefile --windowed --icon "修改.ico" --add-data "修改.png;." --name "Excel批量列处理工具" excel_editor.py