计算新列作为其他列 pandas 的平均值 [英] Calculate new column as the mean of other columns pandas

问题描述

我有一个此数据框:

，我想计算一个新列，作为salary_1，salary_2和salary_3的平均值.

and I would like to calculate a new columns as de the mean of salary_1, salary_2and salary_3.

df = pd.DataFrame({'salary_1':[230,345,222],'salary_2':[235,375,292],'salary_3':[210,385,260]})

      salary_1     salary_2    salary_3
0        230           235        210
1        345           375        385
2        222           292        260

如何在熊猫中以最有效的方式做到这一点?实际上，我还有更多的专栏文章，而且我不想一一撰写.

How can I do it in pandas in the most efficient way? Actually I have many more columns and I don't want to write this one by one.

类似这样的东西:

      salary_1     salary_2    salary_3     salary_mean
0        230           235        210     (230+235+210)/3
1        345           375        385       ...
2        222           292        260       ...

谢谢！

推荐答案

解决此问题的简单方法如下所示:

an easy way to solve this problem is shown below :

col = df.loc[: , "salary_1":"salary_3"]

其中"salary_1"是开始列的名称，而"salary_3"是结束列的名称

where "salary_1" is the start column name and "salary_3" is the end column name

df['salary_mean'] = col.mean(axis=1)
df

这将为您提供一个带有新列的新数据框，该列将显示所有其他列的均值 当您拥有大量的列时，这种方法非常有用；当您只需要对某些选定的列而不是全部执行时，这种方法也很有用.

This will give you a new dataframe with a new column that shows the mean of all the other columns This approach is really helpful when you are having a large set of columns or also helpful when you need to perform on only some selected columns not on all.

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