数据转换 移除重复数据 import pandas as pd import numpy as np from pandas import Series data = pd.DataFrame( {'k1':['one']*3+['two']*4, 'k2':[1,1,2,3,3,4,4]}) data k1 k2 0 one 1 1 one 1 2 one 2 3 two 3 4 two 3 5 two 4 6 two 4 duplicated方法返回一个布尔型Series,表示各行是否是重复
#!/usr/bin/env python #有如下值集合[11,22,33,44,55,66,77,88,99,90...],将所有大于66值保存至字典的一个key中,将小于66的值保存至大二个key的值 li = [11,22,33,44,55,66,77,88,99,90] person = {">66":[],"<=66":[]} for i,j in enumerate(li,0) : if int(j) > 66 : person[&q
using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading; //如果账户金额小于0 触发事件 namespace Starter { public delegate int DeleageteClass(out DateTime start, out DateTime stop); class Program { static void
Update中使用表别名 select中的表别名: select * from TableA as ta update中的表别名: update ta from TableA as ta 如何用表中一列值替换另一列的所有值 不同表列替换: update ta set ta.key1 = tb.key2 from TableA as ta, TableB as tb where ta.key = tb.key 同一表列替换: update ta set ta.key1 = tb.key2 from
摘要: 下文将分享两种将字段中null值替换为指定值的方法分享,如下所示: 实验环境:sqlserver 2008 R2 例: )) go insert into test(info)values('a'),('b'),(null),('d') go ---方法1:使用isnull替换 select keyId,isnull(info,'替换null值') as info from test go ---方法2:使用case when 替换 select keyId,case when info
