python爬取豆瓣电影top250电影名，并用可视化图表显示出来

好的，以下是实现代码：

import requests
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt

# 爬取豆瓣电影top250的电影名
def get_movies():
    movies = []
    for i in range(0, 250, 25):
        url = 'https://movie.douban.com/top250?start={}&filter='.format(i)
        html = requests.get(url).text
        soup = BeautifulSoup(html, 'html.parser')
        for item in soup.find_all('div', class_='hd'):
            movies.append(item.a.span.text)
    return movies

# 将电影名按首字母分类，并统计数量
def classify_movies(movies):
    classified_movies = {}
    for movie in movies:
        first_letter = movie[0]
        if first_letter not in classified_movies:
            classified_movies[first_letter] = 1
        else:
            classified_movies[first_letter] += 1
    return classified_movies

# 可视化图表显示电影数量
def show_chart(classified_movies):
    x_data = list(classified_movies.keys())
    y_data = list(classified_movies.values())
    plt.bar(x_data, y_data)
    plt.title('Movies by First Letter')
    plt.xlabel('First Letter')
    plt.ylabel('Number of Movies')
    plt.show()

if __name__ == '__main__':
    movies = get_movies()
    classified_movies = classify_movies(movies)
    show_chart(classified_movies)

运行后会弹出如下的可视化图表：


图表展示了豆瓣电影top250中的电影数量按首字母分类的情况。