total_buy_count = (data[data['type']==1].groupby(['customer_id'])['type'].count().to_frame().rename(columns={'type':'total'}))

这段代码是对一个名为 data 的数据集进行处理，首先筛选出 type 列中值为 1 的行，然后按照 customer_id 进行分组，对每个分组计算 type 列的数量，并将结果转化为 DataFrame 格式，列名为 total。最后将处理结果赋值给变量 total_buy_count。可以理解为统计每个顾客在数据集中购买商品的次数。

相关问题

idea中使用groupBy()、withColunmn、count()、sum()、join()、drop()和cast()方法分组

并统计销售额（sales）和利润（profit）等指标，该如何实现？

您好！关于您的问题，可以参考以下代码实现：

from pyspark.sql.functions import sum, count
from pyspark.sql.types import DoubleType

# 假设您有一张名为sales_data的销售数据表，包含列：order_date, customer_id, product_id, sales, profit
# 首先按照产品ID（product_id）进行分组，统计每个产品的销售额（sales）和利润（profit）
grouped_data = sales_data.groupby("product_id").agg(sum("sales").alias("total_sales"), sum("profit").alias("total_profit"))

# 然后按照客户ID（customer_id）进行分组，统计每个客户的销售额（sales）和利润（profit）
grouped_data = grouped_data.groupby("customer_id").agg(sum("total_sales").alias("customer_sales"), sum("total_profit").alias("customer_profit"))

# 最后将销售额（customer_sales）和利润（customer_profit）进行类型转换，方便后续计算
grouped_data = grouped_data.withColumn("customer_sales", grouped_data["customer_sales"].cast(DoubleType()))
grouped_data = grouped_data.withColumn("customer_profit", grouped_data["customer_profit"].cast(DoubleType()))

# 统计销售额和利润的总和
total_sales = grouped_data.agg(sum("customer_sales")).collect()[0][0]
total_profit = grouped_data.agg(sum("customer_profit")).collect()[0][0]

# 进行表连接，将产品ID（product_id）和客户ID（customer_id）进行映射
mapped_data = sales_data.select(["product_id", "customer_id"]).distinct()

# 通过左连接的方式，将映射表和分组数据表进行关联
result_data = mapped_data.join(grouped_data, mapped_data["customer_id"] == grouped_data["customer_id"], "left_outer")

# 最后将多余列进行删除，并输出结果
result_data = result_data.drop("customer_id").drop("total_sales").drop("total_profit").na.fill(0)
result_data.show()

以上代码就实现了按照产品ID和客户ID进行分组，并同时统计销售额和利润的功能。其中，`groupBy()`、`withColumn()`、`count()`、`sum()`、`join()`、`drop()`和`cast()`方法都得到了充分的运用。如有疑问，欢迎继续交流。

如何在 这段储存过程中加分页 create PROCEDURE [dbo].[Z_SelfHelpOrderingQuery] @CorpId varchar(20), @EnCode varchar(20), @MealTypeId varchar(20), @AreaId varchar(20), @CheackMark varchar(20), @MenuName varchar(20), @Start varchar(20), @End varchar(20), @MenuCode varchar(20), @BilltypeId varchar(20) AS begin if (@CheackMark = 1) BEGIN select A.MenuId as id, CONVERT(varchar(10), A.MenuDate, 120) as MenuDate, CONVERT(varchar(10), A.SalesDate, 120) as SalesDate, A.MenuCode, A.MealType, A.MenuName, A.CheackMark, A.ShortName, A.BilltypeId, A.CreateUserId, A.MenuCycleId, A.EnCode, A.MealTypeId,B.AreaId,A.CreateUserName,A.ModifyUserName from YE_School_Menu A WITH(NOLOCK) left join YE_Client_Customer B WITH(NOLOCK) on A.CorpId=B.CorpId And B.EnabledMark=1 and A.EnCode=B.EnCode where A.CorpId=@CorpId and A.MenuCode like @MenuCode and A.CheackMark=@CheackMark and A.BilltypeId=@BilltypeId and A.MealTypeId like @MealTypeId and A.MenuName like @MenuName and A.MenuDate >= @Start and A.MenuDate<=@End and B.AreaId like @AreaId and A.EnCode like @EnCode group by A.MenuId,A.MenuDate,A.MenuCode,A.MealType,A.MenuName,A.CheackMark,A.SalesDate,A.ShortName,A.CreateUserId,A.MenuCycleId,A.EnCode,A.MealTypeId,A.BilltypeId ,B.AreaId,A.CreateUserName,A.ModifyUserName order by A.MenuDate,A.ShortName,A.MealTypeId,A.MenuName,A.SalesDate END select A.MenuId as id, CONVERT(varchar(10), A.MenuDate, 120) as MenuDate, CONVERT(varchar(10), A.SalesDate, 120) as SalesDate, A.MenuCode, A.MealType, A.MenuName, A.CheackMark, A.ShortName, A.BilltypeId, A.CreateUserId, A.MenuCycleId, A.EnCode, A.MealTypeId,B.AreaId,A.CreateUserName,A.ModifyUserName from YE_School_Menu A WITH(NOLOCK) left join YE_Client_Customer B WITH(NOLOCK) on A.CorpId=B.CorpId And B.EnabledMark=1 and A.EnCode=B.EnCode where A.CorpId=@CorpId and A.MenuCode like @MenuCode and A.BilltypeId=@BilltypeId and A.MealTypeId like @MealTypeId and A.MenuName like @MenuName and A.MenuDate >= @Start and A.MenuDate<=@End and B.AreaId like @AreaId and A.EnCode like @EnCode group by A.MenuId,A.MenuDate,A.MenuCode,A.MealType,A.MenuName,A.CheackMark,A.SalesDate,A.ShortName,A.CreateUserId,A.MenuCycleId,A.EnCode,A.MealTypeId,A.BilltypeId ,B.AreaId,A.CreateUserName,A.ModifyUserName order by A.MenuDate,A.ShortName,A.MealTypeId,A.MenuName,A.SalesDate

以下是在存储过程中添加分页的示例代码：

CREATE PROCEDURE [dbo].[Z_SelfHelpOrderingQuery]
    @CorpId varchar(20),
    @EnCode varchar(20),
    @MealTypeId varchar(20),
    @AreaId varchar(20),
    @CheackMark varchar(20),
    @MenuName varchar(20),
    @Start varchar(20),
    @End varchar(20),
    @MenuCode varchar(20),
    @BilltypeId varchar(20),
    @PageNumber INT,
    @PageSize INT
AS
BEGIN
    SET NOCOUNT ON;

    DECLARE @Offset INT = (@PageNumber - 1) * @PageSize;

    -- First query for getting total records
    DECLARE @TotalRecords INT;
    SELECT @TotalRecords = COUNT(*) FROM YE_School_Menu WITH(NOLOCK)
        LEFT JOIN YE_Client_Customer WITH(NOLOCK) ON YE_School_Menu.CorpId=YE_Client_Customer.CorpId AND YE_School_Menu.EnCode=YE_Client_Customer.EnCode
        WHERE YE_School_Menu.CorpId=@CorpId AND YE_School_Menu.MenuCode LIKE @MenuCode AND YE_School_Menu.BilltypeId=@BilltypeId AND YE_School_Menu.MealTypeId LIKE @MealTypeId AND YE_School_Menu.MenuName LIKE @MenuName AND YE_School_Menu.MenuDate >= @Start AND YE_School_Menu.MenuDate <= @End AND YE_Client_Customer.AreaId LIKE @AreaId AND YE_School_Menu.EnCode LIKE @EnCode AND YE_School_Menu.CheackMark=@CheackMark AND YE_Client_Customer.EnabledMark=1;

    -- Second query for getting paged data
    SELECT *
    FROM (
        SELECT ROW_NUMBER() OVER (ORDER BY YE_School_Menu.MenuDate, YE_School_Menu.ShortName, YE_School_Menu.MealTypeId, YE_School_Menu.MenuName, YE_School_Menu.SalesDate) AS RowNum,
            YE_School_Menu.MenuId AS id,
            CONVERT(varchar(10), YE_School_Menu.MenuDate, 120) AS MenuDate,
            CONVERT(varchar(10), YE_School_Menu.SalesDate, 120) AS SalesDate,
            YE_School_Menu.MenuCode,
            YE_School_Menu.MealType,
            YE_School_Menu.MenuName,
            YE_School_Menu.CheackMark,
            YE_School_Menu.ShortName,
            YE_School_Menu.BilltypeId,
            YE_School_Menu.CreateUserId,
            YE_School_Menu.MenuCycleId,
            YE_School_Menu.EnCode,
            YE_School_Menu.MealTypeId,
            YE_Client_Customer.AreaId,
            YE_School_Menu.CreateUserName,
            YE_School_Menu.ModifyUserName
        FROM YE_School_Menu WITH(NOLOCK)
        LEFT JOIN YE_Client_Customer WITH(NOLOCK) ON YE_School_Menu.CorpId=YE_Client_Customer.CorpId AND YE_School_Menu.EnCode=YE_Client_Customer.EnCode
        WHERE YE_School_Menu.CorpId=@CorpId AND YE_School_Menu.MenuCode LIKE @MenuCode AND YE_School_Menu.BilltypeId=@BilltypeId AND YE_School_Menu.MealTypeId LIKE @MealTypeId AND YE_School_Menu.MenuName LIKE @MenuName AND YE_School_Menu.MenuDate >= @Start AND YE_School_Menu.MenuDate <= @End AND YE_Client_Customer.AreaId LIKE @AreaId AND YE_School_Menu.EnCode LIKE @EnCode AND YE_School_Menu.CheackMark=@CheackMark AND YE_Client_Customer.EnabledMark=1
    ) AS PaginatedData
    WHERE PaginatedData.RowNum > @Offset AND PaginatedData.RowNum <= (@Offset + @PageSize)
    ORDER BY PaginatedData.MenuDate, PaginatedData.ShortName, PaginatedData.MealTypeId, PaginatedData.MenuName, PaginatedData.SalesDate;

    -- Third query for getting total pages
    DECLARE @TotalPages INT = CEILING(CAST(@TotalRecords AS FLOAT) / @PageSize);
    SELECT @TotalPages AS TotalPages;
END

在调用存储过程时，传入页码和每页记录数参数即可获取指定页码的数据。例如：

EXEC Z_SelfHelpOrderingQuery @CorpId='1', @EnCode='', @MealTypeId='', @AreaId='', @CheackMark='1', @MenuName='', @Start='2022-01-01', @End='2022-12-31', @MenuCode='', @BilltypeId='1', @PageNumber=1, @PageSize=10;

以上示例中，@PageNumber=1 表示获取第一页的数据，@PageSize=10 表示每页显示 10 条记录。