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开源代码

统计三国演义人物高频次数

#!/usr/bin/env python
# coding=utf-8
#e10.4CalThreeKingdoms.py
import jieba
excludes = {"来到","人马","领兵","将军","却说","荆州","二人","不可","不能","如此"}
txt = open("threekingdom.txt", "rb").read()
words  = jieba.lcut(txt)
counts = {}
for word in words:if len(word) == 1:continueelif word == "诸葛亮" or word == "孔明曰":rword = "孔明"elif word == "关公" or word == "云长":rword = "关羽"elif word == "玄德" or word == "玄德曰":rword = "刘备"elif word == "孟德" or word == "丞相":rword = "曹操"else:rword = wordcounts[rword] = counts.get(rword,0) + 1
for word in excludes:del(counts[word])
items = list(counts.items())
items.sort(key=lambda x:x[1], reverse=True) 
for i in range(55):word, count = items[i]print ("{0:<10}{1:>5}".format(word, count))

代码运行：人物频率统计

threekingdom.txt  kingdom.py
kou@ubuntu:~/python/file_文本处理$ python3 kingdom.py 
Building prefix dict from the default dictionary ...
Dumping model to file cache /tmp/jieba.cache
Loading model cost 2.446 seconds.
Prefix dict has been built succesfully.
曹操         1348
刘备         1144
孔明          865
关羽          557
吕布          322
张飞          300

词云图片

#!/usr/bin/env python
# coding=utf-8import jieba
import wordcloudf = open("threekingdom.txt","rb")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(    font_path = "NotoSerifCJK-Bold.ttc",\width = 1000,height = 700,background_color = "white",\)w.generate(txt)
w.to_file("gr.png")

代码运行