对pandas里的loc并列条件索引的实例讲解 如下所示: def Family_feature(df): df['Fam_Size'] =df['SibSp']+df['Parch'] df['Fam_Size'].loc[df['Fam_Size'] == 0] = 1 df['Fam_Size'].loc[(df['Fam_Size'] > 1) & (df['Fam_Size'] <= 3)] = 2 # df['Fam_Size'].loc[df['Fam_Size'] == 2] = 2 # df['Fam_Size'].loc[df['Fam_Size'] == 3] = 2 df['Fam_Size'].loc[df['Fam_Size'] > 3] = 3 return df df['Fam_Size'].loc[(df['Fam_Size'] > 1) & (df['Fam_Size'] <= 3)] = 2 只要中间加一个 & 符号 , 然后把两边的condition括号起来就行。 以上这篇对pandas里的loc并列条件索引的实例讲解就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持中文源码网。