1，使用到的第三方库
requests
BeautifulSoup 美味汤
worldcloud 词云
jieba 中文分词
matplotlib 绘图
2，代码实现部分

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)

3，运行结果

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