如何在pandas中使用用户函数填充in ()

import pandas as pd

data = {'A': [1, 2, None, 4, 5],
        'B': [None, 6, 7, 8, None],
        'C': [9, None, 11, None, 13]}
df = pd.DataFrame(data)

def fill_missing_values(column):
    # 自定义的填充函数，例如使用均值填充缺失值
    return column.fillna(column.mean())

df['A'] = df['A'].apply(fill_missing_values)
df['B'] = df['B'].apply(fill_missing_values)
df['C'] = df['C'].apply(fill_missing_values)

print(df)

import pandas as pd

data = {'A': [1, 2, None, 4, 5],
        'B': [None, 6, 7, 8, None],
        'C': [9, None, 11, None, 13]}
df = pd.DataFrame(data)

def fill_missing_values(column):
    return column.fillna(column.mean())

df['A'] = df['A'].apply(fill_missing_values)
df['B'] = df['B'].apply(fill_missing_values)
df['C'] = df['C'].apply(fill_missing_values)

print(df)