64 lines
2.0 KiB
Python
64 lines
2.0 KiB
Python
from operator import itemgetter
|
|
|
|
import requests
|
|
import plotly.express as px
|
|
|
|
|
|
# Make an API call and check the response.
|
|
url = 'https://hacker-news.firebaseio.com/v0/topstories.json'
|
|
r = requests.get(url)
|
|
print(f"Status code: {r.status_code}")
|
|
|
|
# Process information about each submission.
|
|
submission_ids = r.json()
|
|
|
|
submission_dicts = []
|
|
for submission_id in submission_ids[:20]:
|
|
# Make a new API call for each submission.
|
|
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()
|
|
|
|
# Build a dictionary for each article.
|
|
try:
|
|
submission_dict = {
|
|
'title': response_dict['title'],
|
|
'hn_link': f"https://news.ycombinator.com/item?id={submission_id}",
|
|
'comments': response_dict['descendants'],
|
|
}
|
|
except KeyError:
|
|
# This is a special YC post with comments disabled.
|
|
continue
|
|
else:
|
|
submission_dicts.append(submission_dict)
|
|
|
|
submission_dicts = sorted(submission_dicts, key=itemgetter('comments'),
|
|
reverse=True)
|
|
|
|
# Process data for plotting.
|
|
article_links, comment_counts, hover_texts = [], [], []
|
|
for submission_dict in submission_dicts:
|
|
# Shorten long article titles.
|
|
title = submission_dict['title'][:30]
|
|
discussion_link = submission_dict['hn_link']
|
|
article_link = f'<a href="{discussion_link}"">{title}</a>'
|
|
comment_count = submission_dict['comments']
|
|
|
|
article_links.append(article_link)
|
|
comment_counts.append(comment_count)
|
|
# Show the full title on hover.
|
|
hover_texts.append(submission_dict['title'])
|
|
|
|
# Make visualization.
|
|
title = "Most active discussions on Hacker News"
|
|
labels = {'x': 'Article', 'y': 'Comment count'}
|
|
fig = px.bar(x=article_links, y=comment_counts, title=title, labels=labels,
|
|
hover_name=hover_texts)
|
|
|
|
fig.update_layout(title_font_size=28, xaxis_title_font_size=20,
|
|
yaxis_title_font_size=20)
|
|
|
|
fig.update_traces(marker_color='SteelBlue', marker_opacity=0.6)
|
|
|
|
fig.show() |