Zsusan7的博客

import pandas as pd #导入读入数据的包from sklearn.feature_selection import SelectKBest #卡方检验->判断离散型特征是否相关from sklearn.feature_selection import chi2#读取数据data = pd.read_csv('./2013年八城市融合数据.csv',encoding='gbk')x= data[['归属感有无（0：有 1：无）','户口性质（0：农业 1：非农业）',

import pandas as pddf=pd.read_csv("csv.csv")df['mul']=df['num'].mul(df['sale'])print(df)''' num sale mul0 2 49 981 2 93 1862 1 78 783 2 67 1344 1 89 895 1 50 50'''