ExcelExtractorJsonPDF 0.1

Python package for converting data from Excel to JSON and PDF

ExcelExtractorJsonPDF

ExcelExtractorJsonPDF is a Python package designed to simplify the process of converting data from Excel files to JSON and PDF formats. It provides easy-to-use functions that can adapt to any type of Excel file, allowing users to customize column headers and attributes dynamically.

Features

• Convert Excel files to JSON format.
• Generate PDF reports from JSON data.
• Customize column headers and attributes for flexible data processing.

Installation

You can install ExcelExtractorJsonPDF via pip:

pip install ExcelExtractorJsonPDF

Usage

from ExcelExtractorJsonPDF.converter import excel_to_json, json_to_pdf

# Example usage:
excel_file_path = 'path/to/your/excel/file.xlsx'
table_header = ["Recruiters", "Cabinets", "LinkedIn", "Mail"]
attrs = ["Recruteurs", "Cabinets", "LinkedIn", "Mail Pylote"]

json_data = excel_to_json(excel_file_path, attrs)
pdf_output_path = 'output.pdf'

result = json_to_pdf(json_data, pdf_output_path, table_header, attrs)
if 'error' in result:
    print(f'Error: {result["error"]}')
else:
    print(f'Success! PDF report generated at {pdf_output_path}')

Replace 'path/to/your/excel/file.xlsx' with the path to your Excel file. Customize table_header and attrs according to your Excel file's column headers and attributes.

Requirements

• pandas
• reportlab

License

This project is licensed under the MIT License