如何在具有另一列最大值的行中的一个 dataframe 列中找到值？

Question

Given a dataframe with columns price and make (among others) for cars, I need to find the make of the car that is the most expensive. I found the highest price using max(df['price']) but now I don't know how to use that price to find the make that correlates to it. Sample data can be found at this csv link:

https://raw.githubusercontent.com/plotly/datasets/master/imports-85.csv

Answer 1

Here's a way to find the value in the make column from the row with the max value in column price :

make = df.loc[df.price.idxmax(),'make']

Output:

mercedes-benz

Explanation:

• use idxmax() to find the index of the maximum value in the price column ignoring NaN (this is default behavior based on skipna argument defaulting to True as indicated in the docs)
• use loc[] to access the dataframe value in column make at the above index.