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Python数据可视化 之 使用API(一)

时间:2019-04-19 21:43:47      阅读:208      评论:0      收藏:0      [点我收藏+]

使用requests模块来请求网站数据

 1 import requests
 2 
 3 
 4 #执行API调用并存储响应
 5 url = ‘https://api.github.com/search/repositories?q=language:python&sort=stars‘
 6 r = requests.get(url)
 7 print("Statuscode:", r.status_code)
 8 
 9 #将API响应存储在一个变量中
10 response_dict = r.json()
11 print("Repositories returned:", response_dict[‘total_count‘])#包含仓库总数
12 
13 #探索有关仓库的信息
14 repo_dicts = response_dict[‘items‘]
15 print("Repositories returned:", len(repo_dicts))
16 
17 #研究第一个仓库
18 repo_dict = repo_dicts[0]
19 print("\nKeys:", len(repo_dict))
20 for key in sorted(repo_dict.keys()):
21     print(key)
22 
23 print("\nSelected information about first repository:")
24 print(‘Name:‘, repo_dict[‘name‘])
25 print(‘Owner:‘, repo_dict[‘owner‘][‘login‘])
26 print(‘Stars:‘, repo_dict[‘stargazers_count‘])
27 print(‘Repository:‘, repo_dict[‘html_url‘])
28 print(‘Created:‘,repo_dict[‘created_at‘])
29 print(‘Updated:‘, repo_dict[‘updated_at‘])
30 print(‘Description:‘, repo_dict[‘description‘])

Output:

-------snip--------
Selected information about first repository:
Name: awesome-python
Owner: vinta
Stars: 66036
Repository: https://github.com/vinta/awesome-python
Created: 2014-06-27T21:00:06Z
Updated: 2019-04-19T12:49:58Z
Description: A curated list of awesome Python frameworks, libraries, software and resources

Python数据可视化 之 使用API(一)

原文:https://www.cnblogs.com/sugar2019/p/10738940.html

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