使用python pandas获取每个组中具有最大值的行

Question

I have a dataframe. It is group by 'ex' as below: enter image description here Now I want to get rows which have max value in each group

Answer 1

so a quick google search and you will find out how to get relevant rowshere : for your implementation:

df.groupby("ex")['transaction_fee'].max()

the other thing you should look for is how to get the corresponding indices for the original table. you could find something similar here :

for your implemtionation:

idxs = df.groupby("ex")['transaction_fee'].transform(max) == df['transaction_fee']
relevant_df = df[idxs]

cheers ✌