python 用jieba分词统计关于红楼梦的高频词

import jieba
excludes = {"什么","一个","我们","那里","你们","如今","说道","知道","起来","姑娘","这里","出来","他们","众人","自己",
            "一面","只见","怎么","两个","没有","不是","不知","这个","听见","这样","进来","咱们","告诉","就是",
            "东西","袭人","回来","只是","大家","只得","老爷","丫头","这些","不敢","出去","所以","不过","的话","不好",
            "姐姐","探春","鸳鸯","一时","不能","过来","心里","如此","今日","银子","几个","答应","二人","还有","只管",
            "这么","说话","一回","那边","这话","外头","打发","自然","今儿","罢了","屋里","那些","听说","小丫头","不用","如何"}

txt = open("红楼梦.txt","r",encoding='utf-8').read()

words = jieba.lcut(txt)

#利用jieba库将红楼梦的所有语句分成词汇

counts = {}

#创建的一个空的字典

for word in words:
    if len(word) == 1:      #如果长度是一，可能是语气词之类的，应该删除掉
        continue
    else:
        counts[word] = counts.get(word,0) + 1
for word in excludes:
    del(counts[word])#这一步：如果列出的干扰词汇在分完词后的所有词汇中那么删除

items = list(counts.items())
#把保存[姓名：个数]的字典转换成列表

items.sort(key=lambda x:x[1],reverse = True)

 #对上述列表进行排序，'True'是降序排列

for i in range(20):
    word,count = items[i]
    print("{0:<10}{1:>5}".format(word,count))

运行结果：