我如何在pandas中向量化这个操作？

import pandas as pd

# 创建示例DataFrame
data = {
    'Math': [80, 90, 70, 60],
    'Science': [85, 95, 75, 65],
    'English': [88, 92, 78, 68]
}
df = pd.DataFrame(data)

# 向量化操作：计算平均成绩
df['Average'] = df[['Math', 'Science', 'English']].mean(axis=1)

print(df)

def custom_function(row):
    return (row['Math'] + row['Science'] + row['English']) / 3

df['Custom_Average'] = df.apply(custom_function, axis=1)

import numpy as np

@np.vectorize
def custom_vectorized_function(math, science, english):
    return (math + science + english) / 3

df['Custom_Vectorized_Average'] = custom_vectorized_function(df['Math'], df['Science'], df['English'])

# 使用pandas.eval()进行高效计算
df['Average'] = pd.eval("df[['Math', 'Science', 'English']].mean(axis=1)")