CODEWITHSUNDEEP
pythonpandas
Sahil
Sahil

Reputation: 9496

How to use group by pandas to fetch a column corresponding to a max column?

My data set looks like this

playerid,position,points
1,pos1,10
1,pos2,15
1,pos3,4

I want to return the position for players for which they scored most points. I can group_by to find most points for a particular player, but how do I get the position?

data.groupby(['playerid']).agg(np.max)['points']

I want to return both playerid and position

1,pos2

Upvotes: 0

Views: 30

Answers (1)

MaxU - stand with Ukraine
MaxU - stand with Ukraine

Reputation: 210982

one way (among many) to do that:

In [133]: df
Out[133]:
   playerid position  points
0         1     pos1      10
1         1     pos2      15
2         1     pos3       4
3         2     pos1       2
4         2     pos2      10
5         2     pos3      18

In [134]: df.loc[df.groupby('playerid')['points'].idxmax(), ['playerid','position']]
Out[134]:
   playerid position
1         1     pos2
5         2     pos3

Upvotes: 1

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