<!-- 计算每两次消费的间隔天数 --> SELECT B.MEN_ID,TIMESTAMPDIFF(DAY,B.PRE_DATE,B.CURR_DATE) AS DAYS FROM ( <!-- 行变列 --> SELECT A.MEN_ID,A.ORDER_DATE AS CURR_DATE,@A.ORDER_DATE AS PRE_DATE,@A.ORDER_DATE:= A.ORDER_DATE FROM TBL_MAS_ORDER_MASTER A,(SELECT @A
numpy数据相减,a和b两者shape要一样,然后是对应的位置相减.要不然,a的shape可以是(1,m),注意m要等于b的列数. import numpy as np a = [ [0, 1, 2] ] a = np.array(a) b = [ [1.0,1.1, 3], [1.0,1.0, 3], [0,0, 3], [0,0.1, 3] ] b = np.array(b) result = a - b print(result)
摘要: 下文讲述使用sql脚本实现相邻两条数据相减的方法,如下所示: 实验环境:sql server 2008 R2 实现思路: 1.使用cte表达式,对当前表进行重新编号 2.使用左连接对 表达式 生成的临时表进行错位连接,并对生成的新纪录中两列进行相减 ),qty int); go ----生成基础数据 insert into [maomao365](sort, qty)values (),(), (),(), (),() go with cte_temp as ( select row_n
CASE WHEN TIMESTAMPDIFF(MINUTE,o.createDate,o.chargingStartDate) != THEN 'APP解锁计费' ELSE '系统自动计费' END TIMESTAMPDIFF(MINUTE,o.createDate,o.chargingStartDate) o.chargingStartDate减去o.createDate相减后得到分钟,如果后者小于前者分钟为负数. SELECT TIMESTAMPDIFF(MONTH,'2009-10-01
info_rent = MysqlUtils.select_yezhu_rent() info_sale = MysqlUtils.select_yezhu_sale() now_time = datetime.datetime.now() #now time type is datetime and mysql spidertime is also datetime for i in info_rent: city = i[0] spidertime = i[1] d_time = now_t