如何根据在熊猫数据框中的其他列上应用条件来提取列值

Question

print("Someone has killed {:.4f} with headshot, have {} kills, while the most kills ever recorded is {}.".format(pubg_main_df['headshotKills'].max(), pubg_main_df[pubg_main_df['headshotKills']==pubg_main_df['headshotKills'].max()]['kills'], pubg_main_df['kills'].max()))

我想要的是在 headshotKills 最大的地方获得 'Kills' 的值。

但我得到了：

有人用爆头杀死了 26.0000，有 910050 60 名称：kills，dtype：int64 杀死，而有记录的最多杀死是 60。

应该是：

有人用爆头杀死了 26.0000，有 42 次击杀，而有记录的最多击杀数是 60。

变量的类型有：

headshotKills int64

杀死int64

请帮忙。 :)

Answer 1

将set_index 与idxmax 一起使用：

#sample data
pubg_main_df= pd.DataFrame({'kills':[60,  42], 'headshotKills':[3, 26]})

print("Someone has killed {:.4f} with headshot, have {} kills, while the most kills ever recorded is {}."
            .format(pubg_main_df['headshotKills'].max(), 
                    pubg_main_df.set_index('kills')['headshotKills'].idxmax(), 
                    pubg_main_df['kills'].max()))


Someone has killed 26.0000 with headshot, have 42 kills, while the most kills ever recorded is 60.