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ANNUAL REPORT2018 HIGHLIGHTS(1)$446M Adjusted EBITDA or 37% margin$378M(2)$1.208Bin Free Cash Flowing Revenue$5.39 Earnings Per Share$309M Returned to Stockholders through Share Repurchases and Dividends
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How to fill out pypdf2 extract table of

01
Import the necessary modules like PyPDF2.
02
Open the PDF file using PyPDF2 module.
03
Get the page object from the PDF file using getPage() method.
04
Extract the table using extract_text() method on the page object.
05
Process the extracted text to organize it into tabular format.

Who needs pypdf2 extract table of?

01
Researchers who need to extract data from tables in PDF documents for analysis.
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Data analysts who need to convert PDF tables into structured data for further processing.
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Professionals who need to extract financial or statistical data from reports in PDF format.
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PyPDF2's extract table feature is used to extract tabular data from PDF documents, allowing users to access structured data easily.
Users or developers who need to extract and process tabular data from PDF files using the PyPDF2 library are required to use the extract table feature.
To utilize the extract table feature, you need to install the PyPDF2 library, open the PDF file, identify the table's location, and use the appropriate methods to extract and format the data.
The purpose is to facilitate the extraction of structured data from PDF files for data analysis, reporting, and other data manipulation tasks.
The information extracted generally includes rows and columns of data, headers, and any relevant metadata necessary for the analysis.
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