DataFrame中统计某几列中字符出现次数并比较


aa = pd.DataFrame({'id':['xx','yy','zz','mm'], 'a':['10','10','11',np.nan],'b':['11','12','11',np.nan],'c':['10','12','',np.nan],'d':['10','10','10',np.nan],'e':['10','10','11','']})
aa

  

def map_func1(x):
    if (x['a'] == x['b'] == x['c'] == x['d'] == ''):
        return 'www'
    else:
        li = list(x[['a','b','c','d']])
        print(li)
        set1 = set(li)
        dict1 = {}
        for item in set1:
            dict1.update({item:li.count(item)})
        print(dict1)
        return max(dict1,key=dict1.get)

  

aa['xinlai'] = aa.apply(map_func1,axis=1)  #axis控制按行还是按列

  


免责声明!

本站转载的文章为个人学习借鉴使用,本站对版权不负任何法律责任。如果侵犯了您的隐私权益,请联系本站邮箱yoyou2525@163.com删除。



 
粤ICP备18138465号  © 2018-2025 CODEPRJ.COM