import numpy as np
fangzi=np.array([2,1,3,1,6,1,1,1])
tianhong=np.array([1,9,5,3,8,9,10,3])
kekong=np.array([3,4,2,2,10,3,5,9])
duxu=np.array([4,3,1,5,7,6,3,5])
xiaon=np.array([5,6,8,6,4,7,6,8])
dongy=np.array([6,2,4,4,5,5,2,4])
shij=np.array([7,5,13,7,2,4,4,10])
wangx=np.array([8,8,10,13,9,11,13,13])
zhangf=np.array([9,10,6,8,13,2,9,2])
suh=np.array([10,12,7,11,3,10,8,6])
dengs=np.array([11,11,9,10,12,8,11,12])
zhangc=np.array([12,7,12,9,11,12,12,7])
xiaom=np.array([13,13,11,12,1,13,7,11])
table=[fangzifan, tianhongliang,kekongde,duxuan,xiaonengqi,dongyuanfa,shijinjin,wangxiaopeng,zhangfajun,suhuashan,dengshoucheng,zhangcunji,xiaomin]
name=["fangzi", "tianh","kek","dux","xiaon",
"dongy","shij","wangx","zhangf","suh","dengs","zhangc","xiaom"]
k=0
for i in table:
s=np.sort(i)
#print(name[k]+" = ", np.mean(s[1:-1]))
#k+=1
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