。
UPDATE images a INNER JOIN images b
ON a.id=b.id
SET a.created_at=b.updated_at
where *****;
update account set business_time=created_at;
# 类型一样的两个字段
值
互换
update account a1,account a2 set a1.business_time=a2.created_at,
a2.created_at=a1.business_time
将同一
表中
某一字段
赋值
给另外
一个
字段的语句update jxc_ckmx ckmx1 set ckmx1.ddsl = (select ckmx2.sl from jxc_ckmx ckmx2 where ckmx2.id = ckmx1.id);
转载于:https://www.cnblogs.com/jiangsheng3/p/5885795.html...
with a as ( select sum(sal) `total sal` from tb_emp)
select deptno,
sum(sal) over (distribute by deptno),
a.`total sal`
from tb_emp,a;
+------+-----+---------+
|deptno|c1 |total sal|
+------+-----+---------+
for i in ex_list3:
if ‘血透机’ in i:
maintenance[‘name’]=maintenance[‘name’].replace(i,‘血透机’)
excel 如何给空单元格
赋值
:
一列
几万个数据有的是空白,我想将空白全部变成100解决办法:
选中表,按f5,定位,定位条件选择空
值
,
在输入栏(fx后面这个地方)入输入100,ctrl+enter,
可以使用`isin()`方法和`loc[]`方法来实现。
假设有两个DataFrame,分别为df1和df2,其中df1包含
一个
列名为'col1'的列,df2包含
一个
列名为'col2'的列。
代码如下:
```python
import pandas as pd
# 创建示例数据
df1 = pd.DataFrame({'col1': [1, 2, 3, 4, 5]})
df2 = pd.DataFrame({'col2': [2, 4, 6]})
# 判断col1是否在col2中,并
赋值
df1.loc[df1['col1'].isin(df2['col2']), 'new_col'] = 'Yes'
df1.loc[~df1['col1'].isin(df2['col2']), 'new_col'] = 'No'
print(df1)
输出结果如下:
col1 new_col
0 1 No
1 2 Yes
2 3 No
3 4 Yes
4 5 No
其中,`~`表示取反操作,即判断col1是否不在col2中。根据判断结果,将新的列
赋值
为'Yes'或'No'。
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