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.