使用第三方jieba中文分词库对三国演义片段进行分词统计

import jieba   #进行中文分词的第三方库

txt = open("C:/Users/Administrator/Desktop/python-lianxi/threekingdoms.txt", "r", encoding="utf-8").read()
excludes = {"将军","却说","荆州","二人","不可","不能","如此","商议","如何",\
            "主公","军士","左右","军马","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",\
            "汉中","众将","汉中","只见","后主","蜀兵","上马","大叫","太守",\
            "此人","夫人","先主","后人","背后","城中","天子","一面","何不",\
            "大军","忽报","先生","百姓","何故","然后","先锋","不如","赶来"}  #经过多次执行，把统计结果中排名靠前的不是人名的排除掉
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word)==1:
        continue
    elif word == "诸葛亮" or word == "孔明曰":   #对同样一个人物出场的分词不当的情况进行统计
        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   #字典的get方法，查找是否有键word,有则返回其对应键值，没有则返回后面的值0
for word in excludes:   #剔除掉已经找出的不是人名的多频率词
    del counts[word]  
items = list(counts.items())
items.sort(key=lambda x:x[1], reverse=True)   #列表的排序常用搭配，将元素的下标为第一个的元素作为关键字按照从大到小排序
for i in range(15):
    word, count = items[i]
    print("{0:<10}{1:>5}".format(word, count))