Pandas Groupby get max of multiple columns but in order-CodePudding

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 Typesin order i.e. 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
...

CodePudding user response：

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)