Tin Mah :
i have below data frame:-
input-
first_name last_name age preTestScore postTestScore
0 Jason Miller 42 4 25
1 Molly Jacobson 52 24 94
2 Tina Ali 36 31 57
3 Jake Milner 24 2 62
4 Amy Cooze 73 3 70
i want the output as:-0
Amy 73
so basically i want to find the highest value in age column and i also want the name of person with highest age.
i tried with pandas using group by as below:-
df2=df.groupby(['first_name'])['age'].max()
But with this i am getting the below output as below :
first_name
Amy 73
Jake 24
Jason 42
Molly 52
Tina 36
Name: age, dtype: int64
where as i only want
Amy 73
How shall i go about it in pandas?
Shahir Ansari :
This line of code should do the work
df[df['age']==df['age'].max()][['first_name','age']]
The [['first_name','age']] has the names of columns you want in the result output.
Change as you want.
As in this case the output will be
first_name Age
Amy 73
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