Untitled

book = load_workbook(output_path)
    with pd.ExcelWriter(output_path, mode='a', engine='openpyxl', if_sheet_exists='overlay') as writer:
        grouped = MDF_table.groupby('scope')
        for scope, group in grouped:
            scope_cashflow_table = CashFlowTable()
            for _, row in group.iterrows():
                cashflow_table = specific_policies[(row['年期'], row['年齡'], row['性別'])].profit_testing(
                    channel=row['通路'], premium_discount=row['折扣'], input_type=row['input類型'], average_premium=row['平均保費(萬元)'] * 10000,
                    average_SA=row['平均保額(萬元)'] * 10000, get_cashflow=True, run_pricing=False, NP_table=df_NP, RV_table=df_RV, RV_L_table=df_RV_L,
                    RV_PA_table=df_RV_PA)[1]
                scope_cashflow_table.aggregate(cashflow_table)
            df = pd.DataFrame(scope_cashflow_table.cashflows)

            sheet_name = f'Scope {scope}'
            if sheet_name in book.sheetnames:
                del book[sheet_name]
            sheet = book.create_sheet(sheet_name)
            sheet['B1'] = '年度'
            for i in range(1, 36):
                sheet.cell(row=1, column=i + 1, value=f'({i})')
            df.to_excel(writer, sheet_name=sheet_name, startrow=1)
            writer.save()