Python采集数据保存CSV文件出现内容乱码的解决方法

import csv

with open('data.csv', 'w', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['姓名', '年龄'])
    writer.writerow(['张三', '30'])
    writer.writerow(['李四', '25'])

import csv

with open('data.csv', 'w', encoding='utf-8-sig') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['姓名', '年龄'])
    writer.writerow(['张三', '30'])
    writer.writerow(['李四', '25'])

import csv
import requests

# 从网页上抓取数据
response = requests.get('https://example.com/data')
data = response.json()

# 保存数据到CSV文件
with open('data.csv', 'w', encoding='utf-8-sig', newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(['字段1', '字段2', '字段3'])
    for item in data:
        writer.writerow([item['field1'], item['field2'], item['field3']])

import pandas as pd

# 从数据库中查询数据
data = pd.read_sql_query('SELECT * FROM table', connection)

# 进行统计分析
analysis_result = data.groupby('category')['value'].mean()

# 保存分析结果到CSV文件
analysis_result.to_csv('analysis_result.csv', encoding='utf-8-sig')

import sqlite3

# 连接数据库
conn = sqlite3.connect('database.db')

# 查询数据并导出为CSV文件
query = 'SELECT * FROM table'
data = pd.read_sql_query(query, conn)
data.to_csv('data_backup.csv', encoding='utf-8-sig', index=False)

# 保存数据到CSV文件并共享
data.to_csv('shared_data.csv', encoding='utf-8-sig', index=False)

import csv

# 模拟采集数据
data = [
    ['姓名', '年龄'],
    ['张三', '30'],
    ['李四', '25']
]

# 指定编码格式保存CSV文件
with open('data_utf8.csv', 'w', encoding='utf-8') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerows(data)

# 使用UTF-8 with BOM格式保存CSV文件
with open('data_utf8_bom.csv', 'w', encoding='utf-8-sig') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerows(data)