写出Python爬虫爬取豆瓣top250数据可视化代码

当然，以下是Python爬虫爬取豆瓣Top250电影数据并进行可视化的代码：

import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

def get_html(url):
    try:
        user_agent = 'Mozilla/5.0'
        headers = {'User-Agent': user_agent}
        r = requests.get(url, headers=headers)
        r.raise_for_status()
        r.encoding = r.apparent_encoding
        return r.text
    except:
        return ""

def get_movie_info(html):
    soup = BeautifulSoup(html, 'html.parser')
    movie_list = soup.find('ol', attrs={'class': 'grid_view'})
    movie_names = []
    movie_ratings = []
    movie_votes = []
    for movie_item in movie_list.find_all('li'):
        movie_name = movie_item.find('span', attrs={'class': 'title'}).get_text()
        movie_names.append(movie_name)
        movie_rating = float(movie_item.find('span', attrs={'class': 'rating_num'}).get_text())
        movie_ratings.append(movie_rating)
        movie_vote = movie_item.find(text= '\n                \n                    (人评价)\n            ')
        movie_vote = int(movie_vote.split('\n')[0].strip())
        movie_votes.append(movie_vote)
    return movie_names, movie_ratings, movie_votes

def draw_top_250_chart(movie_names, movie_ratings, movie_votes):
    # create dataframe
    df_movies = pd.DataFrame({'电影名称': movie_names,
                              '电影评分': movie_ratings,
                              '观众人数': movie_votes})
    # sort by rating
    df_movies = df_movies.sort_values(by=['电影评分'], ascending=False)

    # top 30 rating movies
    top30 = df_movies.head(30)
    top30 = top30.iloc[::-1] # reverse sort order

    y_pos = np.arange(len(top30['电影名称']))
    # draw chart
    fig, ax = plt.subplots(figsize=(10, 10))
    ax.barh(y_pos, top30['电影评分'], xerr=0.2, align='center', color='blue', ecolor='black')
    ax.set_yticks(y_pos)
    ax.set_yticklabels(top30['电影名称'])
    ax.invert_yaxis()  # labels read top-to-bottom
    ax.set_xlabel('电影评分')
    ax.set_title('豆瓣Top250高分电影评分排名')

    # top 30 voted movies
    top30 = df_movies.sort_values(by=['观众人数'], ascending=False).head(30)
    top30 = top30.iloc[::-1] # reverse sort order

    y_pos = np.arange(len(top30['电影名称']))
    # draw chart
    fig, ax = plt.subplots(figsize=(10, 10))
    ax.barh(y_pos, top30['观众人数'], xerr=0.2, align='center', color='blue', ecolor='black')
    ax.set_yticks(y_pos)
    ax.set_yticklabels(top30['电影名称'])
    ax.invert_yaxis()  # labels read top-to-bottom
    ax.set_xlabel('观众人数')
    ax.set_title('豆瓣Top250高分电影观众人数排名')

    plt.show()

if __name__ == "__main__":
    top250_url = 'https://movie.douban.com/top250'
    top250_html = get_html(top250_url)
    movie_names, movie_ratings, movie_votes = get_movie_info(top250_html)
    draw_top_250_chart(movie_names, movie_ratings, movie_votes)

这段代码将会从豆瓣网站爬取Top250电影数据，并利用matplotlib进行可视化。希望这可以帮助您！