python爬虫豆瓣电影并且做创意展示

好的，下面是一个创意展示的示例代码，可以爬取豆瓣电影top250的电影名称、评分和封面图片，并将数据可视化为一个瀑布流的图片墙：

import requests
from bs4 import BeautifulSoup
from PIL import Image
from io import BytesIO
import random
from tkinter import *
from tkinter import ttk
from tkinter import messagebox
import webbrowser

url = 'https://movie.douban.com/top250'

def get_movies(url):
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    movie_list_soup = soup.find('ol', attrs={'class': 'grid_view'})
    movie_list = []
    for movie_li in movie_list_soup.find_all('li'):
        detail = movie_li.find('div', attrs={'class': 'hd'})
        movie_name = detail.find('span', attrs={'class': 'title'}).getText()
        rating = movie_li.find('span', attrs={'class': 'rating_num'}).getText()
        img_src = movie_li.find('div', attrs={'class': 'pic'}).find('img').get('src')
        response = requests.get(img_src)
        img = Image.open(BytesIO(response.content))
        movie_list.append({'name': movie_name, 'rating': float(rating), 'img': img})
    return movie_list

movies = get_movies(url)

root = Tk()
root.geometry('800x600')
root.title('豆瓣电影Top250瀑布流')

def open_link(event):
    webbrowser.open_new(event.widget.data['link'])

def show_movies(movies):
    columns = 4
    rows = len(movies) // columns + 1
    for i in range(rows):
        for j in range(columns):
            index = i * columns + j
            if index < len(movies):
                movie = movies[index]
                x = j * 200 + 100
                y = i * 300 + 150
                rating = movie['rating']
                img = movie['img']
                img.thumbnail((200, 200))
                img_label = Label(root, image=img)
                img_label.place(x=x, y=y)
                img_label.data = {'link': 'https://movie.douban.com/top250'}
                img_label.bind('<Button-1>', open_link)
                name_label = Label(root, text=movie['name'], font=('Arial', 12))
                name_label.place(x=x, y=y+200)
                rating_label = Label(root, text='%.1f' % rating, font=('Arial', 12), bg='yellow')
                rating_label.place(x=x+150, y=y+250)
    root.mainloop()

show_movies(movies)

这段代码使用了requests库和BeautifulSoup库来获取豆瓣电影top250的电影名称、评分和封面图片信息，并使用PIL库和Tkinter库将数据可视化为一个瀑布流的图片墙。您可以根据您的需求进行修改和扩展。请注意，爬取网站的时候应该遵守网站的爬取规则和法律法规。