#!/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:
continue
elif 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 = word
counts[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
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
#!/usr/bin/env python
# coding=utf-8
import jieba
import wordcloud
f = 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",\
)
