自学教程：Python爬虫分析微博热搜关键词的实现代码

import requestsimport wordcloudimport jiebafrom bs4 import BeautifulSoupfrom matplotlib import pyplot as pltfrom pylab import mpl#设置字体mpl.rcParams['font.sans-serif'] = ['SimHei']mpl.rcParams['axes.unicode_minus'] = Falseurl = 'https://s.weibo.com/top/summary?Refer=top_hot&topnav=1&wvr=6'try:  #获取数据  r = requests.get(url)  r.raise_for_status()  r.encoding = r.apparent_encoding  soup = BeautifulSoup(r.text,'html.parser')  data = soup.find_all('a')  d_list = []  for item in data:    d_list.append(item.text)  words = d_list[4:-11:]  #中文分词  result = list(jieba.cut(words[0]))  for word in words[1::]:    result.extend(jieba.cut(word))  redata = []  for it in result:    if len(it) <= 1:      continue    else:      redata.append(it)  result_str = ' '.join(redata)  #输出词云图  font = r'C:/Windows/Fonts/simhei.ttf'  w = wordcloud.WordCloud(font_path=font,width=600,height=400)  w.generate(result_str)  w.to_file('微博热搜关键词词云.png')  key = list(set(redata))  x,y = [],[]  #筛选数据  for st in key:    count = redata.count(st)    if count <= 1:      continue    else:      x.append(st)      y.append(count)  x.sort()  y.sort()  #绘制结果图  plt.plot(x,y)  plt.show()except Exception as e:  print(e)