python extract text from pdf table
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in this tutorial, we'll explore how to extract text from tables in pdf documents using python. we'll use the tabula-py library, which is a python wrapper for apache pdfbox. tabula-py allows you to extract tables from pdfs into pandas dataframes.
before we begin, make sure you have the following installed:
open your terminal or command prompt and run the following commands to install the required libraries:
create a new python script or jupyter notebook and import the necessary libraries:
define the path to your pdf file:
replace "path/to/your/pdf_file.pdf" with the actual path to your pdf file.
use tabula.read_pdf to extract tables from the pdf file. this function returns a list of pandas dataframes, where each dataframe corresponds to a table found in the pdf.
iterate through the extracted tables and display their contents:
if you want to save a specific table to a csv file, you can use the following:
replace "table1.csv" with the desired output file name.
here's the complete code:
adjust the code according to your specific use case, and you'll be able to extract and manipulate tables from pdf documents using python.
chatgpt
...
#name #name #name #name #name
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