df = pd.DataFrame({'name':['jack','tom','Marry','zack','heheda'],
'gender':['M ','M',' F',' M ',' F'],
'score':['90-92-89','89-78-88','90-92-95','78-88-76','60-60-67']})
print(df)
gender name score
0 M jack 90-92-89
1 M tom 89-78-88
2 F Marry 90-92-95
3 M zack 78-88-76
4 F heheda 60-60-67
df['name'] = df['name'].str.capitalize()
df['gender'] = df['gender'].str.strip()
df['math'] = df['score'].apply(lambda x: x.split('-')[0])
df['english'] = df['score'].apply(lambda x: x.split('-')[1])
df['art'] = df['score'].apply(lambda x: x.split('-')[2])
print(df)
gender name score math english art
0 M Jack 90-92-89 90 92 89
1 M Tom 89-78-88 89 78 88
2 F Marry 90-92-95 90 92 95