name = 'Merchant_id' # 折扣率排序 datas[name_prifix + 'discount_rateRank'] =datas.groupby(name)['discount_rate'].rank(ascending = False) datas[name_prifix + 'discount_rateRankAscend'] = datas.groupby(name)['discount_rate'].rank(ascending = True) # 距离排序 datas[name_prifix + 'distanceRank'] = datas.groupby(name)['Distance'].rank(ascending = False) datas[name_prifix + 'distanceRankAscend']=datas.groupby(name)['Distance'].rank(ascending = True) # 领券日期排序 datas[name_prifix + 'date_receivedRank'] =datas.groupby(name)['Date_received'].rank(ascending = False) datas[name_prifix + 'date_receivedRankAscend'] = datas.groupby(name)['Date_received'].rank(ascending = True)请帮我用groupby改写

好的，我可以帮你用groupby重写这段代码。你可以这样写：

cols = ['discount_rate', 'Distance', 'Date_received']
for col in cols:
    datas[name_prifix + col + 'Rank'] = datas.groupby(name)[col].rank(ascending=False)
    datas[name_prifix + col + 'RankAscend'] = datas.groupby(name)[col].rank(ascending=True)

这样，你就能用groupby对每一列进行操作，避免了多次重复写代码的问题。

相关问题

WITH filtered_goods AS ( SELECT model FROM base_goods AS bg WHERE bg.type_one = 1 ), aggregated_orders AS ( SELECT og.goods_model, m.merchant_id, SUM( og.buy_num ) AS amount FROM order_goods AS og JOIN orders AS m ON og.order_id = m.id WHERE m.`status` IN ( 0, 2, 3, 5, 6, 8, 9, 10, 11, 17 ) AND og.goods_model IN ( SELECT model FROM filtered_goods ) GROUP BY m.merchant_id, og.goods_model ) SELECT m.merchant_id, m.goods_model, m.amount, bg.market_date, bg.short_name, mr.shop_name FROM aggregated_orders AS m JOIN base_goods AS bg ON m.goods_model = bg.model JOIN merchant AS mr ON m.merchant_id = mr.id

这是一段SQL查询语句，大致意思是根据一些条件过滤出符合要求的商品，然后统计出每个商家销售的该商品的数量。最后再将这些信息与商家名称、商品名称等信息一起查询出来。

具体来说，这个查询语句先用一个子查询过滤出类型为1的商品，然后在orders表和order_goods表中根据一些状态条件和商品型号条件筛选订单，统计出每个商家销售的每个商品数量，最后通过JOIN操作连接base_goods表和merchant表，查询出商品名称、市场时间、商家名称等信息。

@Table(name = "T_BUS_QUERYlIST") public class BusQueryList { @Id @Column(name = "ID") @GeneratedValue(generator = "jpa-uuid") private String id; @Column(name = "merchant_no") private String merchantNo; @Column(name = "merchant_clr_date") private String merchantClrDate; @Column(name = "merchant_order_no") private String merchantOrderNo; @Column(name = "media_type") private String mediaType; @Column(name = "sub_card_no") private String subCardNo; @Column(name = "card_belong_type") private String cardBelongType; @Column(name = "card_belong_code") private String cardBelongCode; @Column(name = "customer_id") private String customerId; @Column(name = "cert_no") private String certNo; @Column(name = "name") private String name; @Column(name = "bus_type") private String busType; @Column(name = "bus_id") private String busId; @Column(name = "bus_router") private String busRouter; }

根据实体类生成建表语句可以使用 JPA 自带的 `SchemaExport` 工具类。

示例代码如下：

import javax.persistence.Persistence;
import org.hibernate.tool.hbm2ddl.SchemaExport;

public class GenerateTableDDL {
    public static void main(String[] args) {
        // 指定持久化单元名称
        String persistenceUnitName = "persistence-unit-name";
        // 获取 EntityManagerFactory
        EntityManagerFactory entityManagerFactory = Persistence.createEntityManagerFactory(persistenceUnitName);
        // 实例化 SchemaExport
        SchemaExport schemaExport = new SchemaExport();
        // 设置输出格式
        schemaExport.setFormat(true);
        // 设置输出文件路径
        schemaExport.setOutputFile("ddl.sql");
        // 获取 Configuration
        Configuration configuration = new Configuration().configure(persistenceUnitName, null);
        // 获取 MetadataSources
        MetadataSources metadataSources = new MetadataSources(new StandardServiceRegistryBuilder().build());
        // 添加实体类
        metadataSources.addAnnotatedClass(BusQueryList.class);
        // 获取 Metadata
        Metadata metadata = metadataSources.buildMetadata();
        // 设置 Metadata
        schemaExport.create(EnumSet.of(TargetType.SCRIPT), metadata);
        // 关闭 EntityManagerFactory
        entityManagerFactory.close();
    }
}

其中，`persistence-unit-name` 是持久化单元的名称，需要根据实际情况进行修改。`ddl.sql` 是输出的建表语句文件名，可以根据需要修改。`BusQueryList` 是实体类名，需要根据实际情况进行修改。

执行该程序后，会在指定的输出文件路径下生成建表语句。