有大佬 帮帮忙嘛 是一个python课设 应该是和爬虫、系统相关的 求一个豆瓣电影分析系统 系

Question

有大佬 帮帮忙嘛 是一个python课设 应该是和爬虫、系统相关的 求一个豆瓣电影分析系统 系统界面 输入任意电影名 可以查询该电影的城市评论数和评分平均值 获得热力图 和词云图

Answer 1

让阿豪来帮你解答，本回答参考chatgpt3.5编写提供，如果还有疑问可以评论或留言

Sure! To create a movie analysis system that retrieves city-wise comment counts and average ratings for a given movie from Douban website, along with generating a heatmap and word cloud, we can follow these steps:

1. Use web scraping techniques to extract data from Douban (https://movie.douban.com/) for the desired movie.
2. Use a Python web scraping library like BeautifulSoup to parse the HTML content of the website and extract relevant information such as city-wise comment counts and average ratings.
3. Use a data visualization library like Matplotlib to create a heatmap showing the distribution of comment counts and average ratings across different cities.
4. Use a text processing library like WordCloud to generate a word cloud based on the comments for the given movie. Here is an example code snippet that shows how we can retrieve the city-wise comment counts and average ratings for a given movie "Interstellar" from Douban:

from bs4 import BeautifulSoup
import requests
movie_name = "Interstellar"
url = f"https://movie.douban.com/subject_search?search_text={movie_name}"
response = requests.get(url)
soup = BeautifulSoup(response.content, 'html.parser')
# Extracting city-wise comment counts and average ratings
cities = soup.find_all('div', class_='city')
for city in cities:
    city_name = city.find('span', class_='name').text
    comment_count = city.find('span', class_='num').text
    average_rating = city.find('span', class_='rating_num').text
    print(f"City: {city_name}, Comment Count: {comment_count}, Average Rating: {average_rating}")

For generating a heatmap and word cloud, you can further process the extracted data and use the appropriate libraries to create visualizations as per your requirements.