Python可以使用pandas模块导出excel

import pandas as pd


class Export:
    @classmethod
    def export_excel(cls, export_list):
        table_name = "域名信息.xlsx"
        with pd.ExcelWriter(table_name) as writer:
            pf_failed = cls.format_excel(export_list)
            pf_failed.to_excel(writer, sheet_name="Sheet1", index=False)
            writer.save()  # 保存表格
    
    @classmethod
    def format_excel(cls, export_data: list):
        columns_map = {
            "domain_name": "域名",
            "product_name": "产品",
            "apply_name": "申请人",
            "apply_time": "申请时间",
            "itsm_id": "itsm_id",
            "apply_reason": "备注",
            "tech_name": "开发负责人",
            "ops_name": "运维负责人",
        }   # 将列名替换为中文
        order = [
            "domain_name",
            "product_name",
            "apply_name",
            "apply_time",
            "itsm_id",
            "apply_reason",
            "tech_name",
            "ops_name",
        ]  # 指定字段顺序
        pf = pd.DataFrame(list(export_data))  # 将字典列表转换为DataFrame
        pf = pf[order]
        pf.rename(columns=columns_map, inplace=True)
        pf.fillna(" ", inplace=True)  # 替换空单元格
        return pf


if __name__ == "__main__":
    record_list = [
        {
            "domain_name": "www.baidu.com",
            "product_name": "百度",
            "apply_name": "李彦宏",
            "apply_time": "2022-04-30",
            "itsm_id": "ID1001",
            "apply_reason": "测试1",
            "tech_name": "李彦宏",
            "ops_name": "李彦宏"
        },
        {
            "domain_name": "www.qq.com",
            "product_name": "腾讯",
            "apply_name": "马化腾",
            "apply_time": "2022-04-30",
            "itsm_id": "ID1002",
            "apply_reason": "测试1",
            "tech_name": "马化腾",
            "ops_name": "马化腾"
        }
    ]

    Export.export_excel(record_list)

效果：

版权声明：本文为西门大切切官人原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。
本文链接：https://www.cnblogs.com/bigcarcar/p/16178601.html