How to increase by 1 the top 5 largest values ​​in a DataFrame column?

Question

Python

There is a DataFrame:

How to competently increase by 1 the top 5 largest values?
Did it like this:

df_new = df.sort_values(by=['qty'], ascending=False)
cnt = 1
for i, item in df_new.iterrows():
    if cnt <= 5:
        item['qty'] = item['qty'] + 1
        cnt += 1

, but it seems to me that there should be a one-line solution.

Answer 1

Wouldn't you like to try reading something on Pandas first and then asking a question? Otherwise, you will run after every comma to the forum with questions.
I have already written to you:

df_new = df.sort_values(by=['qty'], ascending=False)
df_new.qty.loc[:4]=df_new.qty.loc[:4]+1