Python统计纯文本文件中英文单词出现个数的方法总结【测试可用】

yipeiwu_com6年前Python基础

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。

相关文章

python学习笔记:字典的使用示例详解

经典字典使用函数dict:通过其他映射(比如其他字典)或者(键,值)这样的序列对建立字典。当然dict成为函数不是十分确切,它本质是一种类型。如同list。 复制代码 代码如下:item...

python绘制无向图度分布曲线示例

python绘制无向图度分布曲线示例

如下所示: #Copyright (c)2017, 东北大学软件学院学生 # All rightsreserved #文件名称:a.py # 作 者:孔云 #问题描述:统计图中的每...

win与linux系统中python requests 安装

在 windows 系统下,只需要输入命令 pip install requests ,即可安装。 在 linux 系统下,只需要输入命令 sudo  pip install...

Python使用pickle模块报错EOFError Ran out of input的解决方法

本文实例讲述了Python使用pickle模块报错EOFError Ran out of input的解决方法。分享给大家供大家参考,具体如下: 遇到了 EOFError:Ran out...

Python实现微信中找回好友、群聊用户撤回的消息功能示例

本文实例讲述了Python实现微信中找回好友、群聊用户撤回的消息功能。分享给大家供大家参考,具体如下: 还在好奇好友撤回了什么消息吗?群里撤回了什么消息?下面的代码实现了:即使群、好友撤...