Pandas 错误：重写值

我尝试使用iterrows作为处理帧的命令

stocks2['Startpoint']=0
for index,row in stocks2.iterrows():
    if row['VOL']>4*row['avg'] and row['RET']< -0.02 :
        row['Startpoint']=1

Out[141]： 0 1588603

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名称：Startpoint，数据类型：int64

无需循环，您可以使用

stocks2['Startpoint']=((stocks2['VOL']>4*stocks2['ave'])&(stocks2['RET']<0.2)).astype(int)

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stocks2['Startpoint']=（（stocks2['VOL']>4*stocks2['ave']）和（stocks2['RET']，因为
.iterows
返回表示数据帧行的
pd.Series
对象的迭代器，但对这些
pd.Series
对象进行变异不会影响原始
pd.DataFrame
stocks2['Startpoint']=((stocks2['VOL']>4*stocks2['ave'])&(stocks2['RET']<0.2)).astype(int)