莫小米 发表于 2021-3-1 17:08:33

python求助

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
能帮忙看看这是怎么回事吗{:5_99:}

小甲鱼 发表于 2021-3-1 17:12:57

问题是什么呢?

柿子饼同学 发表于 2021-3-1 17:14:15

你倒是发图上来啊

Fancy1998 发表于 2021-3-1 17:16:25

你卡了

Daniel_Zhang 发表于 2021-3-1 17:34:56

新鱼友是无法上传图片的

如果是代码问题请点击帖子下方的编辑按钮,插入你的代码,并放置错误信息提示

详细说明你的问题{:10_254:}

Python初学者8号 发表于 2021-3-1 17:45:43

哈哈哈 ,无法上产图片可太可爱了

莫小米 发表于 2021-3-1 20:13:06

import requests
import bs4
res=requests.get("http://movie.douban.com/top250")
print(res.text)

没有出结果,也没有错误提示

逃兵 发表于 2021-3-2 09:19:49

import requests
import bs4
headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.98 Safari/537.36'}
res=requests.get("http://movie.douban.com/top250",headers=headers)
print(res.text)
页: [1]
查看完整版本: python求助