import pandas as pd
fp=pd.read_csv('score2.txt')
f1=fp.drop(fp.columns[[0]],axis=1)
f1['person1'].sort_values()
f1['person2'].sort_values()
f1['person3'].sort_values()
f1.drop(index=0)
f1.drop(index=9)_
y_T= pd.DataFrame(f1.values.T,columns=f1.index,index=f1.columns)
y_T.loc[:,'平均分']=y_T.sum(axis=1)/8
a=y_T.loc[:,'平均分'].max()
b=y_T['平均分'].idxmax()
print(a)
print(b)

是这个问题吗?
import pandas as pd
data_str = '''person1 76 70 80 85 60 95 40 95 85 95 78.1
person2 85 84 85 85 84 83 74 84 84 84 83.2
person3 81 81 90 80 84 80 92 80 81 83 83.2'''
def avg_score_func(x):
score_list = [int(x[i]) for i in range(1,11)]
score_list.sort()
return sum(score_list[1:-1])/8
data=[d.split(" ") for d in data_str.split("\n")]
df1 = pd.DataFrame(data)
df1['avg'] = df1.apply(lambda x: avg_score_func(x), axis=1)
print(df1.head())
print(df1[[0,'avg']].head())
请问一下为什么45678行代码实现不了?