numpy dataframe get maximum difference in a single column

I want to get the biggest temperature chanche in a dataframe of countries.

My first Idea was to make groups df.groupby(‘country_code’)[‘temperature’].max(), df.groupby(‘country_code’)[‘temperature’].min(), subtract them and get the maximum. I guess there is a better way to to that?

>Solution :

Here’s a slightly different approach, dealing with only one set of groups

def temp_range(group):
    return group.max() - group.min()

df.groupby('country_code')['temperature'].apply(temp_range)

Not sure if it’s better though