2、用python实现统计一篇英文文章内每个单词的出现频率,并返回出现频率最高的前10个单词及其出现次数,并解答以下问题?(标点符号可忽略)
(1) 创建文件对象f后,解释f的readlines和xreadlines方法的区别?
(2) 追加需求:引号内元素需要算作一个单词,如何实现?
cat /root/text.txt
hello world 2018 xiaowei,good luck
hello kitty 2017 wangleai,ha he
hello kitty ,hasd he
hello kitty ,hasaad hedsfds
#我的脚本
#!/usr/bin/python
#get [‘a‘,‘b‘,‘c‘]
import re
with open(‘/root/text.txt‘) as f:
openfile = f.read()
def get_list_dict():
word_list = re.split(‘[0-9\W]+‘,openfile)
list_no_repeat = set(word_list)
dict_word = {}
for each_word in list_no_repeat:
dict_word[each_word] = word_list.count(each_word)
del dict_word[‘‘]
return dict_word
#{‘a‘:2,‘c‘:5,‘b‘:1} => {‘c‘:5,‘a‘:2,‘b‘:1}
def sort_dict_get_ten(dict_word):
list_after_sorted = sorted(dict_word.items(),key=lambda x:x[1],reverse=True)
print list_after_sorted
for i in range(3):
print list_after_sorted[i][0],list_after_sorted[i][1]
def main():
dict_word = get_list_dict()
sort_dict_get_ten(dict_word)
if __name__ == ‘__main__‘:
main()
[(‘hello‘, 4), (‘kitty‘, 3), (‘he‘, 2), (‘good‘, 1), (‘hasd‘, 1), (‘wangleai‘, 1), (‘hasaad‘, 1), (‘xiaowei‘, 1), (‘hedsfds‘, 1), (‘luck‘, 1), (‘world‘, 1), (‘ha‘, 1)]
hello 4
kitty 3
he 2
原文地址:https://www.cnblogs.com/hixiaowei/p/9122280.html