在Python中如何做多列之间的相关性超过2个变量？ [英] In Python how to do Correlation between Multiple Columns more than 2 variables?

问题描述

我有一个这样的Pandas Dataframe：

I have a Pandas Dataframe like so:

id    cat1    cat2    cat3    num1    num2
1     0       WN      29      2003    98
2     1       TX      12      755     76
3     0       WY      11      845     32
4     1       IL      19      935     46

我想找出 cat1 与列 cat3 ， num1 之间的相关性code>和 num2
或 cat1 和 num1 和 num2
或在 cat2 和 cat1，cat3之间，num1，num2

I want to find out the correlation between cat1 and column cat3, num1 and num2 or between cat1 and num1 and num2 or between cat2 and cat1, cat3, num1, num2

当我使用 df.corr（）时，它给出了所有列之间的相关性

When I use df.corr() it gives Correlation between all the columns in the dataframe, but I want to see Correlation between just these selective columns detailed above.

我如何在Python熊猫中做到这一点？

How do I do that in Python pandas?

A

推荐答案

我尝试了以下操作，并且有效：

I tried the following and it worked :

features1=list(['cat1','cat2','cat3'])
features2=list(['Cat1', 'Cat2','num1','num2'])

df[features1].corr()
df[features2].corr()

当数据集中有大量变量时，根据需要选择列的好方法。

Good way to select the columns based on the need when you have a very high number of variables in your dataset.

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