如何忽略以点的形式丢失的数据？

import pandas as pd

# 示例数据
data = {
    'id': [1, 2, 3],
    'name': ['Alice', 'Bob', None],
    'age': [25, None, 30]
}

df = pd.DataFrame(data)

# 数据清洗
df['name'].fillna('Unknown', inplace=True)
df['age'].fillna(df['age'].mean(), inplace=True)

print(df)

import requests

def fetch_data(url):
    try:
        response = requests.get(url)
        response.raise_for_status()  # 检查HTTP响应状态码
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"Error fetching data: {e}")
        return None

data = fetch_data('https://api.example.com/data')
if data:
    print(data)
else:
    print("Failed to fetch data")

import shutil

# 备份数据
shutil.copyfile('original_data.csv', 'backup_data.csv')

# 恢复数据
shutil.copyfile('backup_data.csv', 'original_data.csv')