Pandas Groupby 获取多列的最大值但按顺序

Question

I have below pandas dataframe

COlA    ColB    Result  Freq
A       B       1       3000
A       C       0.2     4000
A       D       1       5000
A       E       0.3     9000
A       F       0.4     8000
B       A       0.4     1000
B       C       0.1     4000
B       D       0.1     5000
B       E       0.2     9000
B       F       0.3     8000
...

I want to groupby ColA and get max of Result and Types in order ie in such a way that it should first find the max of Result column if there are more than one max row then look at Freq and find the max there. I've tried using groupby().max().reset_index() but not getting the desired output

Expected Output

COlA    ColB    Result  Freq
A       D       1       5000
B       A       0.4     1000
...

Answer 1

You can sort by Results/Freq and then groupby + first :

(df.sort_values(by=['Result', 'Freq'], ascending=False)
   .groupby(['COlA'], as_index=False).first()
)

output:

  COlA ColB  Result  Freq
0    A    D     1.0  5000
1    B    A     0.4  1000

NB. warning your column name is COlA (with a capital O)

Answer 2

def function1(dd:pd.DataFrame):
    return dd.sort_values(by=['Result','Freq'],ascending=[False,False]).head(1)

df1.groupby('COlA').apply(function1).reset_index(drop=True)


out

  COlA ColB  Result  Freq
0    A    D     1.0  5000
1    B    A     0.4  1000