您好,登錄后才能下訂單哦!
這篇文章將為大家詳細講解有關(guān)Python如何統(tǒng)計純文本文件中英文單詞出現(xiàn)個數(shù),小編覺得挺實用的,因此分享給大家做個參考,希望大家閱讀完這篇文章后可以有所收獲。
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(zhuǎn)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(zhuǎn)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(jié)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(nèi)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(zhuǎn)小寫 word_set = set(word_list) #避免重復(fù)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(jié)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(fù)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(jié)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(jié)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.
關(guān)于“Python如何統(tǒng)計純文本文件中英文單詞出現(xiàn)個數(shù)”這篇文章就分享到這里了,希望以上內(nèi)容可以對大家有一定的幫助,使各位可以學(xué)到更多知識,如果覺得文章不錯,請把它分享出去讓更多的人看到。
免責(zé)聲明:本站發(fā)布的內(nèi)容(圖片、視頻和文字)以原創(chuàng)、轉(zhuǎn)載和分享為主,文章觀點不代表本網(wǎng)站立場,如果涉及侵權(quán)請聯(lián)系站長郵箱:is@yisu.com進行舉報,并提供相關(guān)證據(jù),一經(jīng)查實,將立刻刪除涉嫌侵權(quán)內(nèi)容。