PDF阅读器，用于读取PDF文件夹，并为读取的每个文件返回关键字的numpy数组

Question

我有一个脚本，可以找到并读取一个单一的pdf文件，并返回该pdf文件中特定单词的计数。我想扩展这个scrip，这样它就会读取特定文件夹中的所有pdf文件，并创建一个表(numpy数组(，以pdf的名称为行，以特定的单词为列——对应单元格中相应pdf文件的每个单词的计数。

以下是可以让我计算单个文件的特定单词的代码：

import PyPDF2 
import textract
import nltk
nltk.download('punkt')
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
import nummpy as np

#path and singular object. something of a forloop and and list made to parse through all files in the folder?
filename = rb'path'
pdfFileObj = open(filename, 'rb')
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)
num_pages = pdfReader.numPages
count = 0
text = ""
while count < num_pages:
pageObj = pdfReader.getPage(count)
count +=1
text += pageObj.extractText()
if text != "":
text = text
else:
text = textract.process(fileurl, method='tesseract', language='eng')
tokens = word_tokenize(text)
punctuations = ['(',')',';',':','[',']',',']
stop_words = stopwords.words('english')
keywords = [word for word in tokens if not word in stop_words and not word in punctuations]
#count the specific word. want to count many words and the place them into an array match to the particular pdf as explained in first part. 
keywords.count('metaphysics')

把这当成一种爱好，这是我试图创建的最复杂的事情之一

Answer 1

import os
arr=np.array([])
path='C:/Users/Kevin/Documents/'
for entry in os.listdir(path):
if os.path.isfile(os.path.join(path, entry)):
if entry.lower().endswith('.pdf'):
filename=entry 
#followed by ur code
#....
keywords=np.array(keywords)
arr=np.concatenate((arr,keywords))