本文实例讲述了Python统计纯文本文件中英文单词出现个数的方法。分享给大家供大家参考,具体如下:
第一版: 效率低
# -*- coding:utf-8 -*- #!python3 path = 'test.txt' with open(path,encoding='utf-8',newline='') as f: word = [] words_dict= {} for letter in f.read(): if letter.isalnum(): word.append(letter) elif letter.isspace(): #空白字符 空格 \t \n if word: word = ''.join(word).lower() #转小写 if word not in words_dict: words_dict[word] = 1 else: words_dict[word] += 1 word = [] #处理最后一个单词 if word: word = ''.join(word).lower() # 转小写 if word not in words_dict: words_dict[word] = 1 else: words_dict[word] += 1 word = [] for k,v in words_dict.items(): print(k,v)
运行结果:
we 4
are 1
busy 1
all 1
day 1
like 1
swarms 1
of 6
flies 1
without 1
souls 1
noisy 1
restless 1
unable 1
to 1
hear 1
the 7
voices 1
soul 1
as 1
time 1
goes 1
by 1
childhood 1
away 2
grew 1
up 1
years 1
a 1
lot 1
memories 1
once 1
have 2
also 1
eroded 1
bottom 1
childish 1
innocence 1
regardless 1
shackles 1
mind 1
indulge 1
in 1
world 1
buckish 1
focus 1
on 1
beneficial 1
principle 1
lost 1
themselves 1
第二版:
缺点:遇到大文件要一次读入内存,性能不好
# -*- coding:utf-8 -*- #!python3 import re path = 'test.txt' with open(path,'r',encoding='utf-8') as f: data = f.read() word_reg = re.compile(r'\w+') #word_reg = re.compile(r'\w+\b') word_list = word_reg.findall(data) word_list = [word.lower() for word in word_list] #转小写 word_set = set(word_list) #避免重复查询 # words_dict = {} # for word in word_set: # words_dict[word] = word_list.count(word) # 简洁写法 words_dict = {word: word_list.count(word) for word in word_set} for k,v in words_dict.items(): print(k,v)
运行结果:
on 1
also 1
souls 1
focus 1
soul 1
time 1
noisy 1
grew 1
lot 1
childish 1
like 1
voices 1
indulge 1
swarms 1
buckish 1
restless 1
we 4
hear 1
childhood 1
as 1
world 1
themselves 1
are 1
bottom 1
memories 1
the 7
of 6
flies 1
without 1
have 2
day 1
busy 1
to 1
eroded 1
regardless 1
unable 1
innocence 1
up 1
a 1
in 1
mind 1
goes 1
by 1
lost 1
principle 1
once 1
away 2
years 1
beneficial 1
all 1
shackles 1
第三版:
# -*- coding:utf-8 -*- #!python3 import re path = 'test.txt' with open(path, 'r', encoding='utf-8') as f: word_list = [] word_reg = re.compile(r'\w+') for line in f: #line_words = word_reg.findall(line) #比上面的正则更加简单 line_words = line.split() word_list.extend(line_words) word_set = set(word_list) # 避免重复查询 words_dict = {word: word_list.count(word) for word in word_set} for k, v in words_dict.items(): print(k, v)
运行结果:
childhood 1
innocence, 1
are 1
of 6
also 1
lost 1
We 1
regardless 1
noisy, 1
by, 1
on 1
themselves. 1
grew 1
lot 1
bottom 1
buckish, 1
time 1
childish 1
voices 1
once 1
restless, 1
shackles 1
world 1
eroded 1
As 1
all 1
day, 1
swarms 1
we 3
soul. 1
memories, 1
in 1
without 1
like 1
beneficial 1
up, 1
unable 1
away 1
flies 1
goes 1
a 1
have 2
away, 1
mind, 1
focus 1
principle, 1
hear 1
to 1
the 7
years 1
busy 1
souls, 1
indulge 1
第四版:使用Counter
统计
# -*- coding:utf-8 -*- #!python3 import collections import re path = 'test.txt' with open(path, 'r', encoding='utf-8') as f: word_list = [] word_reg = re.compile(r'\w+') for line in f: line_words = line.split() word_list.extend(line_words) words_dict = dict(collections.Counter(word_list)) #使用Counter统计 for k, v in words_dict.items(): print(k, v)
运行结果:
We 1
are 1
busy 1
all 1
day, 1
like 1
swarms 1
of 6
flies 1
without 1
souls, 1
noisy, 1
restless, 1
unable 1
to 1
hear 1
the 7
voices 1
soul. 1
As 1
time 1
goes 1
by, 1
childhood 1
away, 1
we 3
grew 1
up, 1
years 1
away 1
a 1
lot 1
memories, 1
once 1
have 2
also 1
eroded 1
bottom 1
childish 1
innocence, 1
regardless 1
shackles 1
mind, 1
indulge 1
in 1
world 1
buckish, 1
focus 1
on 1
beneficial 1
principle, 1
lost 1
themselves. 1
注:这里使用的测试文本test.txt如下:
We are busy all day, like swarms of flies without souls, noisy, restless, unable to hear the voices of the soul. As time goes by, childhood away, we grew up, years away a lot of memories, once have also eroded the bottom of the childish innocence, we regardless of the shackles of mind, indulge in the world buckish, focus on the beneficial principle, we have lost themselves.
PS:这里再为大家推荐2款相关统计工具供大家参考:
在线字数统计工具:
http://tools.jb51.net/code/zishutongji
在线字符统计与编辑工具:
http://tools.jb51.net/code/char_tongji
更多关于Python相关内容感兴趣的读者可查看本站专题:《Python文件与目录操作技巧汇总》、《Python文本文件操作技巧汇总》、《Python数据结构与算法教程》、《Python函数使用技巧总结》、《Python字符串操作技巧汇总》及《Python入门与进阶经典教程》
希望本文所述对大家Python程序设计有所帮助。
免责声明:本站资源来自互联网收集,仅供用于学习和交流,请遵循相关法律法规,本站一切资源不代表本站立场,如有侵权、后门、不妥请联系本站删除!
更新日志
- 黑神话悟空上品虫校尉精魄获取方法一览|上品虫校尉精魄收集攻略
- 《指环王:夏尔的传说》推迟至2025年初发行
- 黑神话悟空上品蝎太子精魄获取方法一览|上品蝎太子精魄收集攻略
- 银霞.1977-《台北66电影原声带》台湾复刻版[WAV+CUE]
- 银霞.1980-《你那好冷的小手》台湾珍藏纪念版[WAV+CUE]
- 王菲.2006《菲常好听》引进版[低速原抓WAV+CUE]
- 《三日危情独家的记忆》女角色介绍
- 《天国拯救》拉泰比武大会攻略
- 任天堂推出《马里奥惊奇》NS捆绑包 10月24日发售
- 《孤岛惊魂》能否逆转育碧颓势?曝系列新作正招兵买马
- 天命人呼叫战术轰炸!玩家自制《黑神话:悟空》轰炸机Mod
- 群星.1992-滚石九大天王·十二出好戏【滚石】【WAV+CUE】
- 群星.1994-新滚石九大天王之年度大丫滚石】【WAV+CUE】
- 坣娜.1998-别恋【非常喜】【WAV+CUE】
- 《草原经典 最炫草原风 2CD》[WAV/分轨][980MB]