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Combine and Extract multiple PDF tables to clean Excel Data using Tabula library of python 

The Data Corner
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In this video, we will explore tabula library of Python to combine, convert and extract multiple pdf tables to cleaned excel data ready for further analysis.
We will also use pandas library of python to clean Data and do further data cleaning.

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14 окт 2023

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Комментарии : 12   
@AEARArg
@AEARArg 5 месяцев назад
Great walkthrough
@theDataCorner
@theDataCorner 5 месяцев назад
Thank you, I appreciate it. If you find extracting data from PDF to excel interesting, do check out my latest video where I extract PDF data using R script, Python libraries and Microsoft Power Query.
@mpfiesty
@mpfiesty 8 месяцев назад
Thank you! Love this content! Only problem for me is, I have a monthly report with 61 different pdfs with three table types in each representing Deposits, Fees, and Discounts, and they vary from 2-11 pages and each table can be longer or shorter than another in each pdf so I can’t create those consistent rules like you did in this video. Is there a way I could filter through the tables and make lists of the ones with the same heads and then append them and process them? Thank you in advance! This video already helped me out a ton!
@theDataCorner
@theDataCorner 8 месяцев назад
Thank you Matt, I am glad to hear the video helped you out. I believe you can try is to check header columns using and if else and a for loop. Another way is to check first row of any specific column to see if specific value matches and then go from there. Below assumes df as dataframe, 'column_to_check' as column name. df['column_to_check'].iloc[0] Hope this helps.
@prakharjain8716
@prakharjain8716 3 месяца назад
What was the formatting you did at 1:44 ?
@theDataCorner
@theDataCorner 3 месяца назад
Hello. these are Jupyter code cells inside of VS Code using interactive window. These are really helpful when I need to run a code block one by one, instead of running everything altogether. You can read more on it on below link: code.visualstudio.com/docs/python/jupyter-support-py
@AIWorld-1104
@AIWorld-1104 6 месяцев назад
Thank you this video is very helpful :) but in my case there is large pdf with more than 100 pages and columns are mentioned only on 1st page so this extracts data from first page only but i want to extract from all pages can you provide some guidance to solve this?? Thank you
@theDataCorner
@theDataCorner 6 месяцев назад
Hello, thank you for watching the video. Below code line should load all pages from your pdf. tables = tabula.read_pdf(pdf_file, pages='all', multiple_tables = True) have you checked what len(tables) returns? how many tables does it say your PDF have?
@AIWorld-1104
@AIWorld-1104 6 месяцев назад
Hello@@theDataCorner Thanks for your this suggestion :)
@theDataCorner
@theDataCorner 6 месяцев назад
Happy to help :)
@xpersion
@xpersion 3 месяца назад
DOnt sharing code not clean explaining why u make video ?
@theDataCorner
@theDataCorner 2 месяца назад
Hello, thank you for watching the video. You can access the code at below link, make sure to install relevant libraries. If you are still having issues understanding the code, let me know and I will be happy to explain. codepad.site/edit/q9aig7rj
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