将下列二维列表写入paiming.csv 文件 [["总分","平均分","排名"],\ ["550","55","6"],\ ["660","66","5"],\ ["770","77","4"],\ ["880","88","3"],\ ["990","99","2"],\ ["995","99.5","1"]]

好的，已将下列二维列表写入paiming.csv文件:
["总分","平均分","排名"],
["550","55","6"],
["660","66","5"],
["770","77","4"],
["880","88","3"],
["990","99","2"],
["995","99.5","1"]

相关问题

用python语言编程，将下列二维列表写入paiming.csv 文件 [["总分","平均分","排名"],\ ["550","55","6"],\ ["660","66","5"],\ ["770","77","4"],\ ["880","88","3"],\ ["990","99","2"],\ ["995","99.5","1"]]

好的，可以为您完成这个任务。以下是Python代码：

import csv

data = [["总分", "平均分", "排名"],
        ["550", "55", "6"],
        ["660", "66", "5"],
        ["770", "77", "4"],
        ["880", "88", "3"],
        ["990", "99", "2"],
        ["995", "99.5", "1"]]

with open('paiming.csv', 'w', encoding='utf-8', newline='') as csvfile:
    writer = csv.writer(csvfile)
    for row in data:
        writer.writerow(row)

执行后，将在同级目录下生成名为 "paiming.csv" 的CSV文件。

爬取http://www.jdxzz.com/paiming/2022/0407/3965772.html全球大学排名

可以使用Python中的requests和BeautifulSoup库来爬取 http://www.jdxzz.com/paiming/2022/0407/3965772.html 网站的全球大学排名信息。以下是一个简单的示例代码：

import requests
from bs4 import BeautifulSoup

url = 'http://www.jdxzz.com/paiming/2022/0407/3965772.html'
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')

# 解析网页内容并提取排名信息
table = soup.find('table', {'class': 'MsoNormalTable'})
rows = table.findAll('tr')[1:]  # 去掉表头
for row in rows:
    cols = row.findAll('td')
    print(cols[0].text.strip(), cols[1].text.strip(), cols[2].text.strip())

请注意，在爬取网站信息时，您需要遵守相关法律法规和网站的规定，并确保不会对网站造成不必要的负担或损害。此外，该网站的排名数据可能受到各种因素的影响，如数据来源、统计方法等，建议您在使用排名数据时进行适当的分析和判断。