df[name]=df[user].iloc[::-1].rolling(window=window).apply(lambdax:x[0]).iloc[::-1] returndf if__name__=='__main__': df=pd.DataFrame({'a':[1,2,3,4,5], 'b':[2,3,4,5,6]}) #把b列向下取值作為新的c列 df=get_under_rolling(df, window=3, user='b',name='c') ...
www.dbjr.com.cn/article/1882...htm 2025-5-26