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

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my data set looks this

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

i want return position players scored points. can group_by find points particular player, how position?

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

i want return both playerid , position

1,pos2

one way (among many) 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

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