p17-使用api

import requests

# 执行API调用并存储响应
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相应赋格给一个变量
response_dict = r.json()
print(f"Total repositories: {response_dict['total_count']}")

# 搜索有关仓库的信息
repo_dicts = response_dict['items']
print(f"Repositories returned: {len(repo_dicts)}")

print("\nSelected information about each repository:")
for repo_dict in repo_dicts:
    print(f"Name: {repo_dict['name']}")
    print(f"Owner: {repo_dict['owner']['login']}")
    print(f"Stars: {repo_dict['stargazers_count']}")
    print(f"Repository: {repo_dict['html_url']}")
    print(f"Created: {repo_dict['created_at']}")
    print(f"Updated: {repo_dict['updated_at']}")
    print(f"Description: {repo_dict['description']}")

　　

import requests

from plotly.graph_objs import Bar
from plotly import offline

# 执行API调用并存储响应
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}")

# 处理结果
response_dict = r.json()
repo_dicts = response_dict['items']
repo_links, stars, labels = [], [], []
for repo_dict in repo_dicts:
    repo_name = repo_dict['name']
    repo_url = repo_dict['html_url']
    repo_link = f"<a href='{repo_url}'>{repo_name}</a>"
    repo_links.append(repo_link)

    stars.append(repo_dict['stargazers_count'])

    owner = repo_dict['owner']['login']
    description = repo_dict['description']
    label = f"{owner}<br />{description}"
    labels.append(label)


# 可视化
data = [{
    'type': 'bar',
    'x': repo_links,
    'y': stars,
    'hovertext': labels,
    'marker': {
        'color': 'rgb(60, 100, 150)',
        'line': {'width': 1.5, 'color': 'rgb(25, 25, 25)'}
    },
    'opacity': 0.6,
}]

my_layout = {
    'title': 'Most-Starred Python Projects on GitHub',
    'titlefont': {'size': 28},
    'xaxis': {
        'title': 'Repository',
        'titlefont': {'size': 24},
        'tickfont': {'size': 14},
    },
    'yaxis': {
        'title': 'Stars',
        'titlefont': {'size': 24},
        'tickfont': {'size': 14},
    },

}

fig = {'data': data, 'layout': my_layout}
offline.plot(fig, filename='python_repos.html')

import requests
import json

# 执行API调用并存储响应
url = 'https://hacker-news.firebaseio.com/v0/item/19155826.json'
r = requests.get(url)
print(f"Status code: {r.status_code}")

# 探索数据结构
response_dict = r.json()
readable_file = 'data/readable_hn_data.json'
with open(readable_file, 'w') as f:
    json.dump(response_dict, f, indent=4)

 

from operator import itemgetter

import requests

# 执行API调用并存储响应
url = 'https://hacker-news.firebaseio.com/v0/topstories.json'
r = requests.get(url)
print(f"Status code: {r.status_code}")

# 处理有关每篇文章的信息
submission_ids = r.json()
submission_dicts = []
for submission_id in submission_ids[:10]:
    # 对于每篇文章有执行一个API调用
    url = f"https://hacker-news.firebaseio.com/v0/item/{submission_id}.json"
    r = requests.get(url)
    print(f"id: {submission_id}\tstatus: {r.status_code}")
    response_dict = r.json()
    
    # 对于每篇文章都创建一个字典
    submission_dict = {
        'title': response_dict['title'],
        'hn_link': f"http://news.ycombinator.com/item?id={submission_id}",
        'comments': response_dict['descendants'],
    }
    submission_dicts.append(submission_dict)
    
submission_dicts = sorted(submission_dicts, key=itemgetter('comments'),
                            reverse=True)

for submission_dict in submission_dicts:
    print(f"\nTitle: {submission_dict['title']}")
    print(f"Discussion link: {submission_dict['hn_link']}")
    print(f"Comments: {submission_dict['comments']}")