用python实现文件的词频统计

""" @name : 词频统计 @author : huangshilong @projectname : file_opreat """ def deal_text():     # 用上下文管理器打开文件     with open('Walden.txt','r+') as fp:         # 读取文件内容         text = fp.read()         # 消除大小写         text=text.lower()         # 消除特殊字符         # sub_post = re.sub(u"([^\u4e00-\u9fa5\u0030-\u0039\u0041-\u005a\u0061-\u007a])", ' ', post)         for ch in '!"#$%&()*+,-./:;<=>?@[\\]^_{|}.~’‘':             text = text.replace(ch, "")         # 将文本分割成单个单词         text = text.split()         # 返回文本列表         return  text def count_text():     # 调用处理文本的函数     txt = deal_text()     # 创建一个单词字典     word_dict ={}     # 写入单词元素及出现次数     for item in txt:         if item not in word_dict:             word_dict[item] = 1         else:             word_dict[item]+=1     #得到出现次数前十的一个列表     list_top10_word =[]     for item in word_dict:          list_top10_word.append(word_dict[item])     # 通过列表的sort方法对列表进行排序,方便取最后的出现次数最多的十个元素     list_top10_word.sort()     list_top10_word=list_top10_word[-1:-11:-1]     # 使用字典生成式生成次数前十的单词的字典,并输出     dict_top10_word = {key:word_dict[key] for key in word_dict if word_dict[key] in list_top10_word}     print(dict_top10_word) count_text()