说到粽子，想必大家都是会想起这些普通的粽子，即使再有南北差异大家也见怪不怪了
但有种硬核粽子的味道在行哥的记忆里一直不能忘怀，那就是《盗墓笔记》里的粽子。这种粽子最好需要黑驴蹄子来搭配食用更加美味哦
本文行哥爬取了整本的《盗墓笔记》来分析一下粽子的口味到底有多奇特
1.代码爬取
本文将通过小说网站http://www.daomubiji.com/来爬取整本盗墓笔记并保存，在这一过程中使用python网络库requests实现简单的python爬虫以及使用html文档分析库BeautifulSoup分析
网页爬取代码如下，可以复制粘贴直接运行
# 公众号：一行数据 from bs4 import BeautifulSoup import requests import re # 获取每本书的链接 def get_book_urls(url): book_urls = [] index = requests.get("http://www.daomubiji.com/") soup = BeautifulSoup(index.content.decode("utf8"), 'lxml') articles = soup.find_all("article", class_='article-content') for article in articles: links = article.find_all('a', href=re.compile("dao-mu-bi-ji")) for link in links: book_urls.append(link["href"]) return book_urls # 获取每章的链接 def get_chapter_urls(url): chapter_urls = [] page = requests.get(url) soup = BeautifulSoup(page.content.decode("utf8"), "lxml") articles = soup.find_all("article", class_="excerpt excerpt-c3") for article in articles: chapter_urls.append(article.a["href"]) return chapter_urls # 获取每章的内容 def get_content(url): content = "" page = requests.get(url) soup = BeautifulSoup(page.content.decode("utf8"), "lxml") title = soup.find_all("h1", class_="article-title")[0].string content += ("\n" + title + "\n\n") articles = soup.find_all("article", class_="article-content") for article in articles: ps = article.find_all('p') for p in ps: for string in p.strings: content = content + string + "\n" return content # 获取全本《盗墓笔记》并保存到文件 def get_article(url): print(1) book_urls = get_book_urls(url) print(1) chapter_urls = [] for url in book_urls: print(1) # url = "http://www.daomubiji.com/dao-mu-bi-ji-2" chapter_urls.extend(get_chapter_urls(url)) print(chapter_urls) result = "" for chapter_url in chapter_urls: content = get_content(chapter_url) result += content print(content) with open("daomubiji.txt", "a") as f: f.write(result.encode("utf8")) get_article("http://www.daomubiji.com/")
2.粽子分析
依稀记得书中的粽子种类繁多
大粽子：厉害的僵尸、恶鬼之类的东西
老粽子：可发生尸变的不好对付的僵尸
干粽子：是指墓里的尸体烂得只剩下一堆白骨了。
肉粽子：是指尸体身上值钱的东西多。
血粽子：血尸墓中的粽子，最厉害。
霉粽子：是指具有尸毒的尸体。
女粽子：女尸尸化后的粽子，比普通粽子更厉害
这里把前三本书中出现“粽子”的每句话给提取出来，并生成一张词云图来展示一下粽子的味道，可以看到四字的拆分比两字拆分描述得更深刻一些
4字分词
代码如下：
import jieba from wordcloud import WordCloud,ImageColorGenerator from matplotlib import pyplot as plt from PIL import Image import numpy as np with open('zongzi','r',encoding="UTF-8") as file1: content = "".join(file1.readlines()) content_after = "/".join(word for word in jieba.cut(content, cut_all=True) if len(word) <= 3) print(content_after) ##添加的代码,把刚刚你保存好的图片用Image方法打开, ##然后用numpy转换了一下 images = Image.open("zongzi2.jpg") maskImages = np.array(images) # ##修改了一下wordCloud参数,就是把这些数据整理成一个形状, # ##具体的形状会适应你的图片的. wc = WordCloud(font_path="/Library/Fonts/Songti.ttc",background_color="black",max_words=1000,max_font_size=100,width=1500,height=1500,mask=maskImages).generate(content_after ) plt.imshow(wc) wc.to_file('wolfcodeTarget3.png')
3.最后
在这里祝大家粽子节快乐
