Question

我试图从文本文件中创建单词词典，然后计算每个单词的实例，并能够在词典中搜索单词并接收计数，但我仍处于静止状态。我最麻烦的是将文本文件字小写并删除它们的标点符号，否则我的计数将会关闭。有什么建议吗？

f=open("C:\Users\Mark\Desktop\jefferson.txt","r")
wc={}
words = f.read().split()
count = 0
i = 0
for line in f: count += len(line.split())
for w in words: if i < count: words[i].translate(None, string.punctuation).lower() i += 1 else: i += 1 print words
for w in words: if w not in wc: wc[w] = 1 else: wc[w] += 1
print wc['states']

Answer 1

几点：

在Python中，始终使用以下构造来读取文件：

 with open('ls;df', 'r') as f:
     # rest of the statements

如果使用f.read().split()，则会读到文件的末尾。之后你需要回到开头：

f.seek(0)

第三，你所在的部分：

for w in words: 
    if i < count: 
        words[i].translate(None, string.punctuation).lower() 
        i += 1 
    else: 
        i += 1 
        print words

你不需要在Python中保留一个计数器。你可以简单地做......

for i, w in enumerate(words): 
    if i < count: 
        words[i].translate(None, string.punctuation).lower() 
    else: 
        print words

但是，您甚至不需要在这里检查i < count ...您可以这样做：

words = [w.translate(None, string.punctuation).lower() for w in words]

最后，如果您只想计算states而不是创建整个项目词典，请考虑使用过滤器....

print len(filter( lambda m: m == 'states', words ))

最后一件事......

如果文件很大，则不建议将每个单词一次放入内存。请考虑逐行更新wc字典。你可以考虑：

而不是做你做过的事情

for line in f: 
    words = line.split()
    # rest of your code

Answer 2

这听起来像是collections.Counter：

的工作

import collections

with open('gettysburg.txt') as f:
    c = collections.Counter(f.read().split())

print "'Four' appears %d times"%c['Four']
print "'the' appears %d times"%c['the']
print "There are %d total words"%sum(c.values())
print "The 5 most common words are", c.most_common(5)

结果：

$ python foo.py 
'Four' appears 1 times
'the' appears 9 times
There are 267 total words
The 5 most common words are [('that', 10), ('the', 9), ('to', 8), ('we', 8), ('a', 7)]

当然，这算是“自由”和“这个”。作为单词（注意单词中的标点符号）。此外，它将“The”和“the”视为不同的词。此外，处理整个文件可能会导致非常大的文件丢失。

这是一个忽略标点符号和大小写的版本，对大文件的内存效率更高。

import collections
import re

with open('gettysburg.txt') as f:
    c = collections.Counter(
        word.lower()
        for line in f
        for word in re.findall(r'\b[^\W\d_]+\b', line))

print "'Four' appears %d times"%c['Four']
print "'the' appears %d times"%c['the']
print "There are %d total words"%sum(c.values())
print "The 5 most common words are", c.most_common(5)

结果：

$ python foo.py 
'Four' appears 0 times
'the' appears 11 times
There are 271 total words
The 5 most common words are [('that', 13), ('the', 11), ('we', 10), ('to', 8), ('here', 8)]

参考文献：

Answer 3

File_Name = 'file.txt'
counterDict={}

with open(File_Name,'r') as fh:
    for line in fh:
   # removing their punctuation
        words = line.replace('.','').replace('\'','').replace(',','').lower().split()
        for word in words:
            if word not in counterDict:
                counterDict[word] = 1
            else:
                counterDict[word] = counterDict[word] + 1

print('Count of the word > common< :: ',  counterDict.get('common',0))

从文本文件创建Python字典并检索每个单词的计数

3 个答案: