这就是典型的行转列问题. 首先说下最简单的思路 用union all select year,sum(m1) m1,sum(m2) m2,sum(m3) m3,sum(m4) m4 from ( select year,count m1,0 m2,0 m3,0 m4 from atest where month = 1 union all select year,0 m1,count m2,0 m3,0 m4 from atest where month = 2 union all selec
1. 如下Excel表,总共有120多行数据,如何将以50行数据为一个工作表进行拆分 Sub ZheFenSheet() Dim r, c, i, WJhangshu, WJshu, bt As Long r = Range("A" & Rows.Count).End(xlUp).Row b = InputBox("请输入分表行数") If IsNumeric(b) Then WJhangshu = Int(b) Else MsgBox "输入错误
导入模块: from pandas import DataFrame import pandas as pd import numpy as np 生成DataFrame数据 df = DataFrame(np.random.randn(4, 5), columns=['A', 'B', 'C', 'D', 'E']) DataFrame数据预览: A B C D E 0 0.673092 0.230338 -0.171681 0.312303 -0.184813 1 -0.504482 -0.
SqlAzure中的方式: select t.name ,s.row_count from sys.tables t join sys.dm_db_partition_stats s ON t.object_id = s.object_id and t.type_desc = 'USER_TABLE' and t.name not like '%dss%' order by row_count desc SQLServer的方式: select a.name as '表名',b.rows as