本文實例講述了Python統(tǒng)計純文本文件中英文單詞出現(xiàn)個數(shù)的方法。分享給大家供大家參考，具體如下：

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() #轉小寫
        if word not in words_dict:
          words_dict[word] = 1
        else:
          words_dict[word] += 1
        word = []
#處理最后一個單詞
if word:
  word = ''.join(word).lower() # 轉小寫
  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)

運行結果：

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:

缺點:遇到大文件要一次讀入內存，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] #轉小寫
  word_set = set(word_list) #避免重復查詢
  # words_dict = {}
  # for word in word_set:
  #   words_dict[word] = word_list.count(word)
  # 簡潔寫法
  words_dict = {word: word_list.count(word) for word in word_set}
  for k,v in words_dict.items():
    print(k,v)

運行結果：

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)
    #比上面的正則更加簡單
    line_words = line.split()
    word_list.extend(line_words)
  word_set = set(word_list) # 避免重復查詢
  words_dict = {word: word_list.count(word) for word in word_set}
  for k, v in words_dict.items():
    print(k, v)

運行結果：

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統(tǒng)計

# -*- 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統(tǒng)計
  for k, v in words_dict.items():
    print(k, v)

運行結果：

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：這里使用的測試文本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：這里再為大家推薦2款相關統(tǒng)計工具供大家參考：

在線字數(shù)統(tǒng)計工具：
http://tools.jb51.net/code/zishutongji

在線字符統(tǒng)計與編輯工具：
http://tools.jb51.net/code/char_tongji

更多關于Python相關內容感興趣的讀者可查看本站專題：《Python文件與目錄操作技巧匯總》、《Python文本文件操作技巧匯總》、《Python數(shù)據(jù)結構與算法教程》、《Python函數(shù)使用技巧總結》、《Python字符串操作技巧匯總》及《Python入門與進階經(jīng)典教程》

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