如何从带有 python 的文件夹中的 pdf 中提取文本并将它们保存在 dataframe 中？

Question

I have many folders where each has a couple of pdf files (other file types like.xlsx or.doc are there as well). My goal is to extract the pdf's text for each folder and create a data frame where each record is the "Folder Name" and each column represents text content of each pdf file in that folder in string form.

I managed to extract text from one pdf file with tika package (code below). But can not make a loop to iterate on other pdfs in the folder or other folders so to construct a structured dataframe.

 # import parser object from tike from tika import parser # opening pdf file parsed_pdf = parser.from_file("ducument_1.pdf") # saving content of pdf # you can also bring text only, by parsed_pdf['text'] # parsed_pdf['content'] returns string data = parsed_pdf['content'] # Printing of content print(data) # <class 'str'> print(type(data))

The desired output should look like this:

Folder_Name	pdf1	pdf2
17534	text of the pdf1	text of the pdf 2
63546	text of the pdf1	text of the pdf1
26374	text of the pdf1	-

Answer 1

If you want to find all the PDFs in a directory and its subdirectories, you can use os.listdir and glob , see Recursive sub folder search and return files in a list python . I've gone for a slightly longer form so it is easier to follow what is happening for beginners

Then, for each file, call Apache Tika, and save to the next row in the Pandas DataFrame

#!/usr/bin/python3

import os, glob
from tika import parser 
from pandas import DataFrame

# What file extension to find, and where to look from
ext = "*.pdf"
PATH = "."

# Find all the files with that extension
files = []
for dirpath, dirnames, filenames in os.walk(PATH):
    files += glob.glob(os.path.join(dirpath, ext))

# Create a Pandas Dataframe to hold the filenames and the text
df = DataFrame(columns=("filename","text"))

# Process each file in turn, parsing with Tika and storing in the dataframe
for idx, filename in enumerate(files):
   data = parser.from_file(filename)
   text = data["content"]
   df.loc[idx] = [filename, text]

# For debugging, print what we found
print(df)

Answer 2

Extremely easy to have a list of all pdfs on unix.

import os

# saves all pdf in a string.
a = os.popen("du -a|awk '{print $2}'|grep '.*\.pdf$'").read()[2:-1]
print(a)

On my computer the output was:

[luca@artix tmp]$ python3 forum.py
a.pdf
./foo/test.pdf

You can just do something like

for line in a.split('\n'):
    print(line, line.split('/'))

and you'll know the folder of the pdf. I hope I helped you