找到具有每行最大值的列名称 [英] Find the column name which has the maximum value for each row

查看:247
本文介绍了找到具有每行最大值的列名称的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有一个这样的DataFrame:

I have a DataFrame like this one:

In [7]:
frame.head()
Out[7]:
Communications and Search   Business    General Lifestyle
0   0.745763    0.050847    0.118644    0.084746
0   0.333333    0.000000    0.583333    0.083333
0   0.617021    0.042553    0.297872    0.042553
0   0.435897    0.000000    0.410256    0.153846
0   0.358974    0.076923    0.410256    0.153846

在这里,我想问一下要获取每行最大值的列名称,所需的输出如下所示:

In here, I want to ask how to get column name which has maximum value for each row, the desired output is like this:

In [7]:
    frame.head()
    Out[7]:
    Communications and Search   Business    General Lifestyle   Max
    0   0.745763    0.050847    0.118644    0.084746           Communications 
    0   0.333333    0.000000    0.583333    0.083333           Business  
    0   0.617021    0.042553    0.297872    0.042553           Communications 
    0   0.435897    0.000000    0.410256    0.153846           Communications 
    0   0.358974    0.076923    0.410256    0.153846           Business 


推荐答案

您可以使用 idxmax() 来查找每一行价值最大的列:

You can use idxmax() to find the column with the greatest value on each row:

>>> df.idxmax(axis=1)
0    Communications
1          Business
2    Communications
3    Communications
4          Business
dtype: object

要创建新列,请使用 df ['Max'] = df.idxmax(axis = 1 )

这篇关于找到具有每行最大值的列名称的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆