输入GitHub的API : https://api.github.com/search/repositories?q=language:python&sort=stars
17.1 找出github上星级最高的python项目
import requests
url ='https://api.github.com/search/repositories?q=language:python&sort=stars'
headers = {"Accept":'Application/vnd.github.v3+json'}
r = requests.get(url,headers=headers)
print(f"status code:{r.status_code}")
response_dict = r.json()
print(response_dict.keys())
17.1.1
import requests
url ='https://api.github.com/search/repositories?q=language:python&sort=stars'
headers = {"Accept":'Application/vnd.github.v3+json'}
r = requests.get(url,headers=headers)
print(f"status code:{r.status_code}")
#将API响应赋给一个变量
response_dict = r.json()
print(response_dict.keys())
print(f"Total repositories:{response_dict['total_count']}")
#探索有关仓库的信息
repo_dicts = response_dict['items']
print(f"Repositories returned:{len(repo_dicts)}")
#研究第一个仓库
repo_dict = repo_dicts[0]
print({len(repo_dict)})
for key in sorted(repo_dict.keys()):
print(key)
17.2 使用 Plotly可视化仓库
import requests
from plotly.graph_objsimport Bar
from plotlyimport offline
url ='https://api.github.com/search/repositories?q=language:python&sort=stars'
headers = {"Accept":'Application/vnd.github.v3+json'}
r = requests.get(url, headers=headers)
print(f"status code:{r.status_code}")
response_dict = r.json()
repo_dicts = response_dict['items']
print(repo_dicts)
repo_names, stars = [], []
for repo_dictin repo_dicts:
repo_names.append(repo_dict['name'])
stars.append(repo_dict)
# 可视化
data = [{
'type':'bar',
'x': repo_names,
'y': stars
}]
my_layout = {
'title':'Github上最受欢迎的python项目',
'xaxis': {'title':'Repository'},
'yaxis': {'title':'Stars'},
}
fig = {'data': data, 'layout': my_layout}
offline.plot(fig, filename='python_repos.html')
