我有大约20000个文本文件,编号为1.txt,2.txt等等。
现在,我正在创建一个包含文件路径的字典d 5.txt,10.txt,15.txt等等。
d[value]=filepath
ex:
d[5]=d:/articles/5.txt
d[45]=d:/articles/45.txt
我有一个文本文件“temp.txt”,其中包含500字的列表
vs
mln
money
依旧......
现在对于字典“d”中的每个文本文件,我需要记录列表中所有单词的出现频率。
所以,我创建了一个d2 [word] [file] = count形式的嵌套字典(这是正确的方法吗?)
where, d2[vs][5]=number of times "vs" occurs in 5.txt
简而言之,对于每个文件,我遍历单词列表并计算其出现次数。
我如何创建d2?
我的错误代码是:
import collections, sys, os, re
sys.stdout=open('3.txt','w')
from collections import Counter
from glob import glob
folderpath='d:/individual-articles'
folderpaths='d:/individual-articles/'
counter=Counter()
filepaths = glob(os.path.join(folderpath,'*.txt'))
# returns the next word in the file
def words_generator(fileobj):
for line in fileobj:
for word in line.split():
yield word
d= collections.defaultdict(list)
#to print the filenames:(creation of d)
with open('topics.txt','r') as f:
for line in f.readlines():
value=(line.split('~')[0])
if int(value)%5==0:
file=folderpaths+value+'.txt'
d[value].append(file)
d2= collections.defaultdict(list)
for file in filepaths:
f = open(file,"r")
words = words_generator(f)
for word in words:
if file in d[file]:
d2[word][file]+= 1
#i have no idea how to go further, beyond this point.
Plz帮助!!
答案 0 :(得分:1)
这样的事情:
import os
from collections import Counter,defaultdict
d2 = defaultdict(dict)
word_list = ['vs', 'mln', 'money']
for fil in d.values():
with open(fil[0]) as f:
path, name = os.path.split(fil[0])
words_c = Counter([word for line in f for word in line.split()])
for word in word_list:
d2[word][name] = words_c[word]
现在访问d2为:
d2['vs']['5.txt']
答案 1 :(得分:1)
如果你可以交换字典,你可以让@Ashwini Chaudhary的答案有所简化(虽然效率可能稍低):
from collections import Counter, defaultdict
with open('temp.txt') as f:
word_list = set(f.read.split())
d2 = defaultdict(Counter)
for n in range(number_of_files):
with open('{}.txt'.format(n)) as f:
d2[fil] = Counter([word for word in f.read().split() if word in word_list])