/PDF-Generator

This Python script utilizes the fpdf library to generate a PDF document based on data from a CSV file.

Primary LanguagePython

README

PDF Generator from CSV using Python

This Python script utilizes the fpdf library to generate a PDF document based on data from a CSV file. The generated PDF contains multiple pages, each representing a different topic along with a specified number of pages.

Requirements

  • Python 3.x
  • Install the fpdf library using: 
    pip install fpdf

Usage

  1. Ensure you have a CSV file named topics.csv with the following columns:

    • Topic: The title of the topic.
    • Pages: The number of pages for each topic.

  2. Run the script using:

    python main.py

  3. The script will read the CSV file, generate a PDF (pdf-template.pdf), and populate it with topics and pages.

Script Explanation

  1. Import Libraries

    • The script uses the fpdf library for PDF generation and pandas for reading the CSV file.

  2. Initialize PDF Object

    • An FPDF object is created with specified orientation, unit, and format.

  3. Read CSV Data

    • The script reads data from the topics.csv file into a pandas DataFrame (df).

  4. Iterate Over DataFrame

    • For each row in the DataFrame, a new page is added to the PDF.
    • Topic title is added to the page along with a horizontal line.
    • Footer is set with the same topic title.

  5. Generate Multiple Pages for Each Topic

    • If a topic has more than one page, additional pages are generated with the same topic title in the footer.

  6. Output PDF

    • The generated PDF is saved as pdf-template.pdf.

Note

  • Ensure that the CSV file is correctly formatted with the required columns.
  • Check the output PDF (pdf-template.pdf) for the finalized document.