extract tables from pdf using tabula python

sure, here's a tutorial on how to extract tables from pdf files using the tabula-py library in python:
tabula-py is a python library that enables you to extract tables from pdfs into pandas dataframes. it's a handy tool for data extraction tasks where tables are embedded in pdf documents. in this tutorial, we'll walk through the process of installing tabula-py and using it to extract tables from pdf files.
before we begin, ensure you have the following prerequisites installed:
you can install tabula-py using pip. open your command-line interface and run the following command:
now let's move on to extracting tables from pdf files using tabula-py. we'll demonstrate this with a simple example.
in this code snippet:
this will print out the extracted tables. each table is represented as a pandas dataframe.
tabula-py provides additional options for customizing the extraction process, such as specifying area coordinates to extract tables from a specific region of a page, setting the output format, and more. you can explore these options in the official documentation.
in this tutorial, we learned how to use tabula-py to extract tables from pdf files in python. tabula-py simplifies the process of extracting tabular data from pdfs, making it a valuable tool for data extraction tasks. experiment with different pdf files and options to become familiar with its capabilities.
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