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.
主要思路是reducing,可以像sql一样分组后多列求和处理成新对象等: select code,max(name)as name,sum(chengJi)as chengJi,sum(age)as age,sum(value)as value from student group by code 将上边sql翻译成java 后为如下代码 @Data public class Student{ public Student() { } public Student(String code, S
sql server 某一列求和 SELECT 患者来源,设备类型,检查部位,设备名称,convert(char(10),STUDY_DATE,121) as 日期, count(distinct 就诊人次) as 就诊人次--SUM(就诊人数) AS 就诊人数 FROM dbo.[V_SeePeople] WHERE STUDY_DATE >= '2019-12-04 00:00:00.000' and STUDY_DATE <= '2019-12-11 23:59:59.000' and
##指定列求和 需求: 求和:列为“销售金额”的数值 Sub 求和()Dim i As Integer, j As IntegerFor i = 3 To 56For j = 15 To 81 Step 2Cells(i, 13) = Cells(i, 13) + Cells(i, j)Next jNext i End Sub 中间有一段无法调试的代码, Sub 求和()Dim i As Integer, j As IntegerFor i = 3 To range("a65536")
<html> <head> <title>多列求和</title> <script type="text/javascript"> function addAll(){ var total_value=0; for(i=0;i<document.myform.check.length;i++){ if(document.myform.check[i].checked){ total_value+= parseInt( d
