Python 作业( 运用Jieba库分词以及运用wordcloud库做词云图 )

Jieba库实例

(1)、运用Jieba库分析三国演义, 得到词频统计, 并对词频进行排序。

 

(2)、 根据得到的关键词, 做一个词云图。

 

　代码如下:

　　　　

 1 import jieba
 2 import wordcloud as wc
 3 import matplotlib.pyplot as plt
 4 import numpy as np
 5 from PIL import Image
 6 
 7 txt = open("三国演义.txt", "r", encoding = "utf-8").read()
 8 excludes = {"将军","却说","荆州","二人","不可","不能","如此","主公","商议","如何","军士","左右","军马"\
 9     ,"引兵","次日","大喜","天下","东吴","于是","今日","不敢","魏兵","陛下","一人","都督","人马","不知"\
10     ,"汉中","只见","众将","后主","蜀兵","上马","大叫","太守","此人","夫人","先主","后人","背后","城中"}
11 counts = {}
12 words = jieba.lcut(txt)
13 for word in words:
14     if len(word) == 1:
15         continue
16     elif word == "诸葛亮" or word == "孔明曰":
17         rword = "孔明"
18     elif word == "关公" or word == "云长":
19         rword = "关羽"
20     elif word == "玄德" or word == "玄德曰":
21         rword = "刘备"
22     elif word == "孟德" or word == "丞相":
23         rword = "曹操"
24     else:
25         rword = word
26     counts[rword] = counts.get(rword, 0) + 1
27 for word in excludes:
28     del counts[word]
29 items = list(counts.items())
30 items.sort(key = lambda x:x[1], reverse = True)
31 text = ''
32 for w in range(200):
33     text += items[w][0] + ' '
34 
35 for i in range(20):
36     word, count = items[i]
37     print('{:<10}{:>5}'.format(word, count))
38 
39 font = "C:\\WINDOWS\\FONTS\\MSYHL.TTC"  #该处应写所需字体的路径
40 bg_pic = np.array(Image.open('C:\\Users\\Administrator\\Desktop\\tree.jpg'))
41 #同样这里写的是背景图片的路径
42 
43 cloud = wc.WordCloud(font_path=font,#设置字体
44            background_color="white", #背景颜色
45            max_words=2000,# 词云显示的最大词数
46            mask=bg_pic,#设置背景图片
47            max_font_size=100, #字体最大值
48            random_state=42)
49 mywc = cloud.generate(text)
50 plt.imshow(mywc)
51 plt.axis('off')
52 plt.show()
53 mywc.to_file('mywc.png')

View Code

 

这里只是出现次数在前20的词, 没有完全删除不必要的词语              这边就是词云图