词频统计并输出。要求如下:
(1)对“红楼梦.xt”中文本进行分词，并对人物名称进行归一化处理，仅归一化一下内容:凤姐、凤姐
儿、凤丫头归一为凤姐;宝玉、二爷、宝二爷归一为宝玉;黛玉、颦儿、林妹妹、黛玉道归一为黛玉;宝
钗、宝丫头归一为宝钗;贾母、老祖宗归一为贾母;袭人、袭人道归一为袭人;贾政、贾政道归一为贾政;
贾琏、琏二爷归一为贾琏。
(2)不统计“停用词.txt”文件中包含词语的词频。
(3)提取出场次数不少于40次的人物名称，将人物名称及其出场次数按照递减排序，保存到result.csv文
件中，出场次数相同的，则按照人物名称的字符顺序排序。示例如下:
宝玉,123
凤姐,101
.格)
其中，人物名称与出场次数之间采用英文逗号分隔，无空格，每组信息一行。

参考答案

import jieba
 
f = "红楼梦.txt"
sf = "停用词.txt"
 
fi = open(f,"r",encoding="utf-8")
data = fi.read()
fi.close()
 
fo = open(sf,"r",encoding="utf-8")
words = fo.read()
fo.close()
 
#分词
ls = jieba.lcut(data)
d = {}
word = ["一个","如今","一面","众人""说道","只见","不知","两个","起来","二人","今日","听见","不敢","不能","东西","只得","心中","回来","几个","原来","进来","出去","一时" ,"银子","起身","答应","回去"]
 
for i in ls:
if len(i) < 2 or i in words or i in word:
continue#不统计
#人物名词归一处理
if i in ["凤姐","凤姐儿","凤丫头"]:
i = "凤姐"
elif i in ["宝玉","二爷","宝二爷"]:
i = "宝玉"
elif i in ["黛玉","颦儿","林妹妹","黛玉道"]:
i = "黛玉"
elif i in ["宝钗","宝丫头"]:
i = "宝钗"
elif i in ["贾母","老祖宗"]:
i = "贾母"
elif i in ["袭人","袭人道"]:
i = "袭人"
elif i in ["贾政","贾政道"]:
i = "贾政"
elif i in ["贾琏","琏二爷"]:
i = "贾琏"
 
d[i] = d.get(i,0)+1
 
items = list(d.items())
items.sort(key=lambda x:(x[1],x[0]), reverse=True)
# 此行语句可以对items列表进行递减排序
 
f = open("result.csv","w")
for l in items:
if l[1] <40:
break
f.write("{},{}\n".format(l[0],l[1]))
f.close()