给我一段完整的python爬虫爬取CSDN网页数据可视化的代码

在Python中，我们可以使用一些库如BeautifulSoup、requests和matplotlib等来实现简单的网页数据抓取并可视化。下面是一个基本的例子，假设我们要抓取CSDN博客文章标题并统计词频：

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

# 爬取CSDN页面
url = 'https://blog.csdn.net/'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

# 提取文章标题
titles = [title.text for title in soup.find_all('a', class_='title')]

# 清洗数据（例如去除HTML标签）
clean_titles = [' '.join(word for word in title.lower().split()) for title in titles]

# 使用正则表达式提取单词，并转换成列表
words = [word.strip() for title in clean_titles for word in re.findall(r'\b\w+\b', title)]

# 统计词频
word_freq = dict(zip(words, [0] * len(words)))
for word in words:
    word_freq[word] += 1

# 数据可视化
plt.figure(figsize=(10, 5))
word_counts = sorted(word_freq.items(), key=lambda x: x[1], reverse=True)
x轴, y轴 = zip(*word_counts)
plt.bar(x轴, y轴)
plt.xlabel('Words')
plt.ylabel('Frequency')
plt.title('Word Frequency of CSDN Blog Titles')
plt.show()