Python 基于多列值的透视SQL表

Python 基于多列值的透视SQL表,python,sql-server,excel,python-3.x,pivot-table,Python,Sql Server,Excel,Python 3.x,Pivot Table,我的SQL输出如下: ------------------------------------ | Name | Identifier | Date | Value | ------------------------------------- | A | Bid | XX/XX | 10 | ------------------------------------- | A | Ask | XX/XX | 11 | ------------

我的SQL输出如下:

------------------------------------
| Name | Identifier | Date  | Value |
-------------------------------------
|  A   |    Bid     | XX/XX |   10  |
-------------------------------------
|  A   |    Ask     | XX/XX |   11  |
-------------------------------------
|  B   |    Bid     | YY/YY |   20  |
-------------------------------------
|  B   |    Ask     | YY/YY |   21  |
-------------------------------------
--------------------------------
| Name | Date  |  Bid  |  Ask  |
--------------------------------
|  A   | XX/XX |   10  |   11  |
--------------------------------
|  B   | YY/YY |   20  |   21  |
--------------------------------
SELECT * FROM table where Name (LIKE 'A' or LIKE 'B') and Date between 'AA/AA' and 'ZZ/ZZ'
我希望的输出最好直接来自SQL或借助Python或Excel,如下所示:

------------------------------------
| Name | Identifier | Date  | Value |
-------------------------------------
|  A   |    Bid     | XX/XX |   10  |
-------------------------------------
|  A   |    Ask     | XX/XX |   11  |
-------------------------------------
|  B   |    Bid     | YY/YY |   20  |
-------------------------------------
|  B   |    Ask     | YY/YY |   21  |
-------------------------------------
--------------------------------
| Name | Date  |  Bid  |  Ask  |
--------------------------------
|  A   | XX/XX |   10  |   11  |
--------------------------------
|  B   | YY/YY |   20  |   21  |
--------------------------------
SELECT * FROM table where Name (LIKE 'A' or LIKE 'B') and Date between 'AA/AA' and 'ZZ/ZZ'
在SQL、Python或Excel中实现这一点的最佳方法是什么?我的问题是,我希望使用此数据的下一步只处理以所需输出表的形式出现的输入

编辑: 原始查询如下:

------------------------------------
| Name | Identifier | Date  | Value |
-------------------------------------
|  A   |    Bid     | XX/XX |   10  |
-------------------------------------
|  A   |    Ask     | XX/XX |   11  |
-------------------------------------
|  B   |    Bid     | YY/YY |   20  |
-------------------------------------
|  B   |    Ask     | YY/YY |   21  |
-------------------------------------
--------------------------------
| Name | Date  |  Bid  |  Ask  |
--------------------------------
|  A   | XX/XX |   10  |   11  |
--------------------------------
|  B   | YY/YY |   20  |   21  |
--------------------------------
SELECT * FROM table where Name (LIKE 'A' or LIKE 'B') and Date between 'AA/AA' and 'ZZ/ZZ'

在Python中,可以使用PD.melt并指定要保持不变的列。其他人将得到支点


有关更多信息:

您可以使用pivot实现所需的输出。这是一项可以在所有数据分析框架(如excel、SQL等)中找到的功能

对于Excel,您可以通过以下链接获得所需结果:

SQL:

我使用pivot函数编写了一个动态sql

 create table tbl1 ( name varchar(100),Identifier  varchar(100), Date_val varchar(100), Value  int);

    INSERT INTO tbl1 values ('A','Bid','XX/XX',10),('A','Ask','XX/XX',11),('b','Bid','YY/YY',20),
    ('b','Ask','YY/YY',21)

    DECLARE @cols AS NVARCHAR(MAX), @query AS NVARCHAR(MAX)


    select @cols = STUFF((SELECT ',' + QUOTENAME(Identifier) 
                        from tbl1
                        group by Identifier
                        order by Identifier
                FOR XML PATH(''), TYPE
                ).value('.', 'NVARCHAR(MAX)') 
            ,1,1,'')



    set @query = 'SELECT name,Date_val,' + @cols + ' from 
                 (
                    select  name,Identifier, Date_val, value
                    from tbl1
                ) x
                pivot 
                (
                    sum(value)
                    for Identifier in (' + @cols + ')
                ) p '

    execute (@query)

您可以发布原始查询并向我们提供有关您的问题/所需输出的更多详细信息吗?@floatingpurr发布原始查询并添加详细信息我正在使用Microsoft SQL Server